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kurs_alx_pcz
Commit 36cce81b by Patryk Czarnik
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przykładowe dane do analizy

parent 0825a519
Showing with 3156 additions and 13 deletions
jupyter/01_jupyter_podstawy.ipynb
......@@ -543,7 +543,7 @@
},
{
"cell_type": "code",
"execution_count": 16,
"execution_count": 1,
"id": "d764556b",
"metadata": {},
"outputs": [
......@@ -556,7 +556,6 @@
"SVG": "Other",
"bash": "Other",
"capture": "ExecutionMagics",
"cmd": "Other",
"code_wrap": "ExecutionMagics",
"debug": "ExecutionMagics",
"file": "Other",
......@@ -589,21 +588,19 @@
"automagic": "AutoMagics",
"autosave": "KernelMagics",
"bookmark": "OSMagics",
"cat": "Other",
"cd": "OSMagics",
"clear": "KernelMagics",
"cls": "KernelMagics",
"code_wrap": "ExecutionMagics",
"colors": "BasicMagics",
"conda": "PackagingMagics",
"config": "ConfigMagics",
"connect_info": "KernelMagics",
"copy": "Other",
"ddir": "Other",
"cp": "Other",
"debug": "ExecutionMagics",
"dhist": "OSMagics",
"dirs": "OSMagics",
"doctest_mode": "BasicMagics",
"echo": "Other",
"ed": "Other",
"edit": "KernelMagics",
"env": "OSMagics",
......@@ -613,6 +610,9 @@
"killbgscripts": "ScriptMagics",
"ldir": "Other",
"less": "KernelMagics",
"lf": "Other",
"lk": "Other",
"ll": "Other",
"load": "CodeMagics",
"load_ext": "ExtensionMagics",
"loadpy": "CodeMagics",
......@@ -623,11 +623,16 @@
"logstop": "LoggingMagics",
"ls": "Other",
"lsmagic": "BasicMagics",
"lx": "Other",
"macro": "ExecutionMagics",
"magic": "BasicMagics",
"mamba": "PackagingMagics",
"man": "KernelMagics",
"matplotlib": "PylabMagics",
"micromamba": "PackagingMagics",
"mkdir": "Other",
"more": "KernelMagics",
"mv": "Other",
"notebook": "BasicMagics",
"page": "BasicMagics",
"pastebin": "CodeMagics",
......@@ -653,11 +658,11 @@
"recall": "HistoryMagics",
"rehashx": "OSMagics",
"reload_ext": "ExtensionMagics",
"ren": "Other",
"rep": "Other",
"rerun": "HistoryMagics",
"reset": "NamespaceMagics",
"reset_selective": "NamespaceMagics",
"rm": "Other",
"rmdir": "Other",
"run": "ExecutionMagics",
"save": "CodeMagics",
......@@ -680,15 +685,15 @@
},
"text/plain": [
"Available line magics:\n",
"%alias %alias_magic %autoawait %autocall %automagic %autosave %bookmark %cd %clear %cls %code_wrap %colors %conda %config %connect_info %copy %ddir %debug %dhist %dirs %doctest_mode %echo %ed %edit %env %gui %hist %history %killbgscripts %ldir %less %load %load_ext %loadpy %logoff %logon %logstart %logstate %logstop %ls %lsmagic %macro %magic %matplotlib %mkdir %more %notebook %page %pastebin %pdb %pdef %pdoc %pfile %pinfo %pinfo2 %pip %popd %pprint %precision %prun %psearch %psource %pushd %pwd %pycat %pylab %qtconsole %quickref %recall %rehashx %reload_ext %ren %rep %rerun %reset %reset_selective %rmdir %run %save %sc %set_env %store %sx %system %tb %time %timeit %unalias %unload_ext %who %who_ls %whos %xdel %xmode\n",
"%alias %alias_magic %autoawait %autocall %automagic %autosave %bookmark %cat %cd %clear %code_wrap %colors %conda %config %connect_info %cp %debug %dhist %dirs %doctest_mode %ed %edit %env %gui %hist %history %killbgscripts %ldir %less %lf %lk %ll %load %load_ext %loadpy %logoff %logon %logstart %logstate %logstop %ls %lsmagic %lx %macro %magic %mamba %man %matplotlib %micromamba %mkdir %more %mv %notebook %page %pastebin %pdb %pdef %pdoc %pfile %pinfo %pinfo2 %pip %popd %pprint %precision %prun %psearch %psource %pushd %pwd %pycat %pylab %qtconsole %quickref %recall %rehashx %reload_ext %rep %rerun %reset %reset_selective %rm %rmdir %run %save %sc %set_env %store %sx %system %tb %time %timeit %unalias %unload_ext %who %who_ls %whos %xdel %xmode\n",
"\n",
"Available cell magics:\n",
"%%! %%HTML %%SVG %%bash %%capture %%cmd %%code_wrap %%debug %%file %%html %%javascript %%js %%latex %%markdown %%perl %%prun %%pypy %%python %%python2 %%python3 %%ruby %%script %%sh %%svg %%sx %%system %%time %%timeit %%writefile\n",
"%%! %%HTML %%SVG %%bash %%capture %%code_wrap %%debug %%file %%html %%javascript %%js %%latex %%markdown %%perl %%prun %%pypy %%python %%python2 %%python3 %%ruby %%script %%sh %%svg %%sx %%system %%time %%timeit %%writefile\n",
"\n",
"Automagic is ON, % prefix IS NOT needed for line magics."
]
},
"execution_count": 16,
"execution_count": 1,
"metadata": {},
"output_type": "execute_result"
}
......@@ -958,7 +963,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.5"
"version": "3.11.6"
}
},
"nbformat": 4,
......
jupyter/02_numpy.ipynb
......@@ -5348,7 +5348,7 @@
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.11.5"
"version": "3.11.6"
}
},
"nbformat": 4,
......
jupyter/brudnopis.ipynb
......@@ -121,9 +121,30 @@
},
{
"cell_type": "code",
"execution_count": null,
"execution_count": 6,
"id": "66eb1372-6868-4513-9f5b-3624be92ebb2",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"32344"
]
},
"execution_count": 6,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"2+32342"
]
},
{
"cell_type": "code",
"execution_count": null,
"id": "0c8f8b80-baed-4b52-9866-1addca44b4f1",
"metadata": {},
"outputs": [],
"source": []
}
......
jupyter/pliki/Mcdonalds.csv 0 → 100644
Category,Item,Serving Size,Calories,Calories from Fat,TotalFat,Total Fat (% Daily Value),Saturated Fat,Saturated Fat (% Daily Value),Trans Fat,Cholesterol,Cholesterol (% Daily Value),Sodium,Sodium (% Daily Value),Carbohydrates,Carbohydrates (% Daily Value),Dietary Fiber,Dietary Fiber (% Daily Value),Sugars,Protein,Vitamin A (% Daily Value),Vitamin C (% Daily Value),Calcium (% Daily Value),Iron (% Daily Value)
Breakfast,Egg McMuffin,4.8 oz (136 g),300,120,13,20,5,25,0,260,87,750,31,31,10,4,17,3,17,10,0,25,15
Breakfast,Egg White Delight,4.8 oz (135 g),250,70,8,12,3,15,0,25,8,770,32,30,10,4,17,3,18,6,0,25,8
Breakfast,Sausage McMuffin,3.9 oz (111 g),370,200,23,35,8,42,0,45,15,780,33,29,10,4,17,2,14,8,0,25,10
Breakfast,Sausage McMuffin with Egg,5.7 oz (161 g),450,250,28,43,10,52,0,285,95,860,36,30,10,4,17,2,21,15,0,30,15
Breakfast,Sausage McMuffin with Egg Whites,5.7 oz (161 g),400,210,23,35,8,42,0,50,16,880,37,30,10,4,17,2,21,6,0,25,10
Breakfast,Steak & Egg McMuffin,6.5 oz (185 g),430,210,23,36,9,46,1,300,100,960,40,31,10,4,18,3,26,15,2,30,20
Breakfast,"Bacon, Egg & Cheese Biscuit (Regular Biscuit)",5.3 oz (150 g),460,230,26,40,13,65,0,250,83,1300,54,38,13,2,7,3,19,10,8,15,15
Breakfast,"Bacon, Egg & Cheese Biscuit (Large Biscuit)",5.8 oz (164 g),520,270,30,47,14,68,0,250,83,1410,59,43,14,3,12,4,19,15,8,20,20
Breakfast,"Bacon, Egg & Cheese Biscuit with Egg Whites (Regular Biscuit)",5.4 oz (153 g),410,180,20,32,11,56,0,35,11,1300,54,36,12,2,7,3,20,2,8,15,10
Breakfast,"Bacon, Egg & Cheese Biscuit with Egg Whites (Large Biscuit)",5.9 oz (167 g),470,220,25,38,12,59,0,35,11,1420,59,42,14,3,12,4,20,6,8,15,15
Breakfast,Sausage Biscuit (Regular Biscuit),4.1 oz (117 g),430,240,27,42,12,62,0,30,10,1080,45,34,11,2,6,2,11,0,0,6,15
Breakfast,Sausage Biscuit (Large Biscuit),4.6 oz (131 g),480,280,31,48,13,65,0,30,10,1190,50,39,13,3,11,3,11,4,0,8,15
Breakfast,Sausage Biscuit with Egg (Regular Biscuit),5.7 oz (163 g),510,290,33,50,14,71,0,250,83,1170,49,36,12,2,6,2,18,6,0,10,20
Breakfast,Sausage Biscuit with Egg (Large Biscuit),6.2 oz (177 g),570,330,37,57,15,74,0,250,83,1280,53,42,14,3,11,3,18,10,0,10,20
Breakfast,Sausage Biscuit with Egg Whites (Regular Biscuit),5.9 oz (167 g),460,250,27,42,12,62,0,35,11,1180,49,34,11,2,6,3,18,0,0,8,15
Breakfast,Sausage Biscuit with Egg Whites (Large Biscuit),6.4 oz (181 g),520,280,32,49,13,65,0,35,11,1290,54,40,13,3,11,3,18,4,0,8,15
Breakfast,Southern Style Chicken Biscuit (Regular Biscuit),5 oz (143 g),410,180,20,31,8,41,0,30,10,1180,49,41,14,2,6,3,17,0,2,6,15
Breakfast,Southern Style Chicken Biscuit (Large Biscuit),5.5 oz (157 g),470,220,24,37,9,45,0,30,10,1290,54,46,15,3,11,4,17,4,2,8,15
Breakfast,Steak & Egg Biscuit (Regular Biscuit),7.1 oz (201 g),540,290,32,49,16,78,1,280,93,1470,61,38,13,2,8,3,25,10,2,20,25
Breakfast,"Bacon, Egg & Cheese McGriddles",6.1 oz (174 g),460,190,21,32,9,44,0,250,84,1250,52,48,16,2,9,15,19,10,10,20,15
Breakfast,"Bacon, Egg & Cheese McGriddles with Egg Whites",6.3 oz (178 g),400,140,15,24,7,34,0,35,11,1250,52,47,16,2,9,16,20,2,10,15,10
Breakfast,Sausage McGriddles,5 oz (141 g),420,200,22,34,8,40,0,35,11,1030,43,44,15,2,8,15,11,0,0,8,10
Breakfast,"Sausage, Egg & Cheese McGriddles",7.1 oz (201 g),550,280,31,48,12,61,0,265,89,1320,55,48,16,2,9,15,20,10,0,20,15
Breakfast,"Sausage, Egg & Cheese McGriddles with Egg Whites",7.2 oz (205 g),500,230,26,40,10,52,0,50,17,1320,55,46,15,2,9,15,21,2,0,20,10
Breakfast,"Bacon, Egg & Cheese Bagel",6.9 oz (197 g),620,280,31,48,11,56,0.5,275,92,1480,62,57,19,3,11,7,30,20,15,20,20
Breakfast,"Bacon, Egg & Cheese Bagel with Egg Whites",7.1 oz (201 g),570,230,25,39,9,45,0.5,60,20,1480,62,55,18,3,12,8,30,10,15,20,15
Breakfast,"Steak, Egg & Cheese Bagel",8.5 oz (241 g),670,310,35,53,13,63,1.5,295,99,1510,63,56,19,3,12,7,33,20,4,25,25
Breakfast,Big Breakfast (Regular Biscuit),9.5 oz (269 g),740,430,48,73,17,87,0,555,185,1560,65,51,17,3,12,3,28,15,2,15,25
Breakfast,Big Breakfast (Large Biscuit),10 oz (283 g),800,470,52,80,18,90,0,555,185,1680,70,56,19,4,17,3,28,15,2,15,30
Breakfast,Big Breakfast with Egg Whites (Regular Biscuit),9.6 oz (272 g),640,330,37,57,14,69,0,35,12,1590,66,50,17,3,12,3,26,0,2,10,15
Breakfast,Big Breakfast with Egg Whites (Large Biscuit),10.1 oz (286 g),690,370,41,63,14,72,0,35,12,1700,71,55,18,4,17,4,26,4,2,10,15
Breakfast,Big Breakfast with Hotcakes (Regular Biscuit),14.8 oz (420 g),1090,510,56,87,19,96,0,575,192,2150,90,111,37,6,23,17,36,15,2,25,40
Breakfast,Big Breakfast with Hotcakes (Large Biscuit),15.3 oz (434 g),1150,540,60,93,20,100,0,575,192,2260,94,116,39,7,28,17,36,15,2,30,40
Breakfast,Big Breakfast with Hotcakes and Egg Whites (Regular Biscuit),14.9 oz (423 g),990,410,46,70,16,78,0,55,19,2170,91,110,37,6,23,17,35,0,2,25,30
Breakfast,Big Breakfast with Hotcakes and Egg Whites (Large Biscuit),15.4 oz (437 g),1050,450,50,77,16,81,0,55,19,2290,95,115,38,7,28,18,35,4,2,25,30
Breakfast,Hotcakes,5.3 oz (151 g),350,80,9,13,2,9,0,20,7,590,24,60,20,3,10,14,8,0,0,15,15
Breakfast,Hotcakes and Sausage,6.8 oz (192 g),520,210,24,37,7,36,0,50,17,930,39,61,20,3,10,14,15,0,0,15,15
Breakfast,Sausage Burrito,3.9 oz (111 g),300,150,16,25,7,33,0,115,38,790,33,26,9,1,5,2,12,10,2,15,15
Breakfast,Hash Brown,2 oz (56 g),150,80,9,14,1.5,6,0,0,0,310,13,15,5,2,6,0,1,0,2,0,2
Breakfast,Cinnamon Melts,4 oz (114 g),460,170,19,30,9,43,0,15,5,370,15,66,22,3,11,32,6,4,0,6,15
Breakfast,Fruit & Maple Oatmeal,9.6 oz (251 g),290,35,4,6,1.5,8,0,5,2,160,7,58,19,5,19,32,5,2,130,10,10
Breakfast,Fruit & Maple Oatmeal without Brown Sugar,9.6 oz (251 g),260,40,4,6,1.5,8,0,5,2,115,5,49,16,5,22,18,5,2,130,6,10
Beef & Pork,Big Mac,7.4 oz (211 g),530,240,27,42,10,48,1,85,28,960,40,47,16,3,13,9,24,6,2,25,25
Beef & Pork,Quarter Pounder with Cheese,7.1 oz (202 g),520,240,26,41,12,61,1.5,95,31,1100,46,41,14,3,11,10,30,10,2,30,25
Beef & Pork,Quarter Pounder with Bacon & Cheese,8 oz (227 g),600,260,29,45,13,63,1.5,105,34,1440,60,48,16,3,12,12,37,6,15,25,30
Beef & Pork,Quarter Pounder with Bacon Habanero Ranch,8.3 oz (235 g),610,280,31,48,13,64,1.5,105,35,1180,49,46,15,3,14,10,37,8,20,25,30
Beef & Pork,Quarter Pounder Deluxe,8.6 oz (244 g),540,250,27,42,11,54,1.5,85,28,960,40,45,15,3,13,9,29,10,8,25,30
Beef & Pork,Double Quarter Pounder with Cheese,10 oz (283 g),750,380,43,66,19,96,2.5,160,53,1280,53,42,14,3,11,10,48,10,2,30,35
Beef & Pork,Hamburger,3.5 oz (98 g),240,70,8,12,3,15,0,30,10,480,20,32,11,1,6,6,12,2,2,10,15
Beef & Pork,Cheeseburger,4 oz (113 g),290,100,11,18,5,27,0.5,45,15,680,28,33,11,2,7,7,15,6,2,20,15
Beef & Pork,Double Cheeseburger,5.7 oz (161 g),430,190,21,32,10,52,1,90,30,1040,43,35,12,2,8,7,24,10,2,30,20
Beef & Pork,Bacon Clubhouse Burger,9.5 oz (270 g),720,360,40,62,15,75,1.5,115,38,1470,61,51,17,4,14,14,39,8,25,30,25
Beef & Pork,McDouble,5.2 oz (147 g),380,150,17,26,8,40,1,75,25,840,35,34,11,2,7,7,22,6,2,20,20
Beef & Pork,Bacon McDouble,5.7 oz (161 g),440,200,22,34,10,49,1,90,30,1110,46,35,12,2,7,7,27,6,10,20,20
Beef & Pork,Daily Double,6.7 oz (190 g),430,200,22,35,9,44,1,80,27,760,32,34,11,2,8,7,22,8,8,20,20
Beef & Pork,Jalapeño Double,5.6 oz (159 g),430,210,23,36,9,44,1,80,27,1030,43,35,12,2,7,6,22,6,8,20,20
Beef & Pork,McRib,7.3 oz (208 g),500,240,26,40,10,48,0,70,23,980,41,44,15,3,10,11,22,2,2,15,20
Chicken & Fish,Premium Crispy Chicken Classic Sandwich,7.5 oz (213 g),510,200,22,33,3.5,18,0,45,16,990,41,55,18,3,13,10,24,4,6,15,20
Chicken & Fish,Premium Grilled Chicken Classic Sandwich,7 oz (200 g),350,80,9,13,2,9,0,65,22,820,34,42,14,3,13,8,28,4,8,15,20
Chicken & Fish,Premium Crispy Chicken Club Sandwich,8.8 oz (249 g),670,300,33,51,9,44,0,85,29,1410,59,58,19,3,14,11,36,8,20,30,20
Chicken & Fish,Premium Grilled Chicken Club Sandwich,8.3 oz (235 g),510,180,20,31,7,36,0,105,35,1250,52,44,15,3,13,9,40,8,20,30,20
Chicken & Fish,Premium Crispy Chicken Ranch BLT Sandwich,8.1 oz (230 g),610,250,28,43,6,31,0,70,24,1400,58,57,19,3,13,11,32,4,20,15,20
Chicken & Fish,Premium Grilled Chicken Ranch BLT Sandwich,7.6 oz (217 g),450,130,15,23,4.5,22,0,90,30,1230,51,43,14,3,13,9,36,4,20,15,20
Chicken & Fish,Bacon Clubhouse Crispy Chicken Sandwich,10 oz (284 g),750,340,38,59,10,51,0.5,90,31,1720,72,65,22,4,15,16,36,8,25,30,15
Chicken & Fish,Bacon Clubhouse Grilled Chicken Sandwich,9.5 oz (270 g),590,230,25,39,8,42,0,110,37,1560,65,51,17,4,15,14,40,8,30,30,15
Chicken & Fish,Southern Style Crispy Chicken Sandwich,5.6 oz (160 g),430,170,19,29,3,15,0,45,14,910,38,43,14,2,7,7,21,4,2,15,15
Chicken & Fish,McChicken,5.1 oz (143 g),360,140,16,25,3,15,0,35,11,800,33,40,13,2,7,5,14,0,2,10,15
Chicken & Fish,Bacon Cheddar McChicken,6 oz (171 g),480,220,24,38,7,35,0,65,21,1260,53,43,14,2,8,6,22,4,10,20,15
Chicken & Fish,Bacon Buffalo Ranch McChicken,5.7 oz (161 g),430,190,21,32,5,25,0,50,17,1260,53,41,14,2,7,6,20,2,10,15,15
Chicken & Fish,Buffalo Ranch McChicken,5.2 oz (148 g),360,150,16,25,3,16,0,35,11,990,41,40,13,2,7,5,14,2,2,15,15
Chicken & Fish,Premium McWrap Chicken & Bacon (Crispy Chicken),11.1 oz (316 g),630,280,32,49,9,45,0.5,80,26,1540,64,56,19,3,13,7,32,60,20,20,20
Chicken & Fish,Premium McWrap Chicken & Bacon (Grilled Chicken),10.7 oz (302 g),480,170,19,28,7,36,0,95,32,1370,57,42,14,3,13,6,36,60,25,20,20
Chicken & Fish,Premium McWrap Chicken & Ranch (Crispy Chicken),10.9 oz (310 g),610,280,31,47,8,40,0.5,65,21,1340,56,56,19,3,14,8,27,60,15,20,20
Chicken & Fish,Premium McWrap Chicken & Ranch (Grilled Chicken),10.5 oz (297 g),450,160,18,27,6,31,0.5,80,27,1170,49,42,14,3,14,6,30,60,15,15,20
Chicken & Fish,Premium McWrap Southwest Chicken (Crispy Chicken),11.1 oz (314 g),670,300,33,51,8,40,0.5,60,21,1480,62,68,23,5,19,12,27,60,15,20,20
Chicken & Fish,Premium McWrap Southwest Chicken (Grilled Chicken),11.2 oz (318 g),520,180,20,31,6,32,0,80,27,1320,55,55,18,5,20,10,31,70,15,20,20
Chicken & Fish,Premium McWrap Chicken Sweet Chili (Crispy Chicken),10.7 oz (304 g),540,200,23,35,4.5,23,0,50,16,1260,52,61,20,3,13,14,23,60,15,8,20
Chicken & Fish,Premium McWrap Chicken Sweet Chili (Grilled Chicken),10.3 oz (291 g),380,90,10,15,3,14,0,65,22,1090,45,47,16,3,13,12,27,60,15,8,20
Chicken & Fish,Chicken McNuggets (4 piece),2.3 oz (65 g),190,110,12,18,2,10,0,25,9,360,15,12,4,1,2,0,9,0,2,0,2
Chicken & Fish,Chicken McNuggets (6 piece),3.4 oz (97 g),280,160,18,27,3,15,0,40,13,540,22,18,6,1,4,0,13,0,2,2,4
Chicken & Fish,Chicken McNuggets (10 piece),5.7 oz (162 g),470,270,30,45,5,25,0,65,22,900,37,30,10,2,6,0,22,0,4,2,6
Chicken & Fish,Chicken McNuggets (20 piece),11.4 oz (323 g),940,530,59,91,10,50,0,135,44,1800,75,59,20,3,12,0,44,0,8,4,10
Chicken & Fish,Chicken McNuggets (40 piece),22.8 oz (646 g),1880,1060,118,182,20,101,1,265,89,3600,150,118,39,6,24,1,87,0,15,8,25
Chicken & Fish,Filet-O-Fish,5 oz (142 g),390,170,19,29,4,19,0,40,14,590,24,39,13,2,7,5,15,2,0,15,10
Salads,Premium Bacon Ranch Salad (without Chicken),7.9 oz (223 g),140,70,7,11,3.5,18,0,25,9,300,13,10,3,3,12,4,9,170,30,15,6
Salads,Premium Bacon Ranch Salad with Crispy Chicken,9 oz (255 g),380,190,21,33,6,29,0,70,23,860,36,22,7,2,10,5,25,100,25,15,8
Salads,Premium Bacon Ranch Salad with Grilled Chicken,8.5 oz (241 g),220,80,8,13,4,20,0,85,29,690,29,8,3,2,10,4,29,110,30,15,8
Salads,Premium Southwest Salad (without Chicken),8.1 oz (230 g),140,40,4.5,7,2,9,0,10,3,150,6,20,7,6,23,6,6,160,25,15,10
Salads,Premium Southwest Salad with Crispy Chicken,12.3 oz (348 g),450,190,22,33,4.5,22,0,50,17,850,35,42,14,7,28,12,23,170,30,15,15
Salads,Premium Southwest Salad with Grilled Chicken,11.8 oz (335 g),290,80,8,13,2.5,13,0,70,23,680,28,28,9,7,28,10,27,170,30,15,15
Snacks & Sides,Chipotle BBQ Snack Wrap (Crispy Chicken),4.6 oz (130 g),340,130,15,23,4.5,22,0,30,11,780,33,37,12,1,6,8,14,4,0,10,10
Snacks & Sides,Chipotle BBQ Snack Wrap (Grilled Chicken),4.3 oz (123 g),260,70,8,13,3.5,18,0,40,14,700,29,30,10,1,6,7,16,4,2,10,10
Snacks & Sides,Honey Mustard Snack Wrap (Crispy Chicken),4.3 oz (123 g),330,130,15,23,4.5,22,0,35,11,730,30,34,11,1,5,3,14,2,0,10,10
Snacks & Sides,Honey Mustard Snack Wrap (Grilled Chicken),4.1 oz (116 g),250,70,8,13,3.5,18,0,45,14,650,27,27,9,1,5,2,16,2,2,10,10
Snacks & Sides,Ranch Snack Wrap (Crispy Chicken),4.5 oz (128 g),360,180,20,30,5,27,0,40,13,810,34,32,11,1,5,3,15,2,0,10,10
Snacks & Sides,Ranch Snack Wrap (Grilled Chicken),4.3 oz (121 g),280,120,13,20,4.5,22,0,45,16,720,30,25,8,1,5,2,16,2,2,10,10
Snacks & Sides,Small French Fries,2.6 oz (75 g),230,100,11,17,1.5,8,0,0,0,130,5,30,10,2,10,0,2,0,30,0,4
Snacks & Sides,Medium French Fries,3.9 oz (111 g),340,140,16,24,2.5,11,0,0,0,190,8,44,15,4,14,0,4,0,45,2,4
Snacks & Sides,Large French Fries,5.9 oz (168 g),510,220,24,37,3.5,17,0,0,0,290,12,67,22,5,22,0,6,0,70,2,8
Snacks & Sides,Kids French Fries,1.3 oz (38 g),110,50,5,8,1,4,0,0,0,65,3,15,5,1,5,0,1,0,15,0,2
Snacks & Sides,Side Salad,3.1 oz (87 g),20,0,0,0,0,0,0,0,0,10,0,4,1,1,6,2,1,45,25,2,4
Snacks & Sides,Apple Slices,1.2 oz (34 g),15,0,0,0,0,0,0,0,0,0,0,4,1,0,0,3,0,0,160,2,0
Snacks & Sides,Fruit 'n Yogurt Parfait,5.2 oz (149 g),150,20,2,3,1,5,0,5,2,70,3,30,10,1,3,23,4,2,15,10,4
Desserts,Baked Apple Pie,2.7 oz (77 g),250,110,13,19,7,35,0,0,0,170,7,32,11,4,15,13,2,4,25,2,6
Desserts,Chocolate Chip Cookie,1 cookie (33 g),160,70,8,12,3.5,19,0,10,3,90,4,21,7,1,3,15,2,2,0,2,8
Desserts,Oatmeal Raisin Cookie,1 cookie (33 g),150,50,6,9,2.5,13,0,10,3,135,6,22,7,1,3,13,2,2,0,2,6
Desserts,Kids Ice Cream Cone,1 oz (29 g),45,10,1.5,2,1,4,0,5,2,20,1,7,2,0,0,6,1,2,0,4,0
Desserts,Hot Fudge Sundae,6.3 oz (179 g),330,80,9,14,7,34,0,25,8,170,7,53,18,1,3,48,8,8,0,25,8
Desserts,Hot Caramel Sundae,6.4 oz (182 g),340,70,8,12,5,24,0,30,10,150,6,60,20,0,0,43,7,10,0,25,0
Desserts,Strawberry Sundae,6.3 oz (178 g),280,60,6,10,4,20,0,25,8,85,4,49,16,0,0,45,6,8,4,20,0
Beverages,Coca-Cola Classic (Small),16 fl oz cup,140,0,0,0,0,0,0,0,0,0,0,39,13,0,0,39,0,0,0,0,0
Beverages,Coca-Cola Classic (Medium),21 fl oz cup,200,0,0,0,0,0,0,0,0,5,0,55,18,0,0,55,0,0,0,0,0
Beverages,Coca-Cola Classic (Large),30 fl oz cup,280,0,0,0,0,0,0,0,0,5,0,76,25,0,0,76,0,0,0,0,0
Beverages,Coca-Cola Classic (Child),12 fl oz cup,100,0,0,0,0,0,0,0,0,0,0,28,9,0,0,28,0,0,0,0,0
Beverages,Diet Coke (Small),16 fl oz cup,0,0,0,0,0,0,0,0,0,10,0,0,0,0,0,0,0,0,0,0,0
Beverages,Diet Coke (Medium),21 fl oz cup,0,0,0,0,0,0,0,0,0,20,1,0,0,0,0,0,0,0,0,0,0
Beverages,Diet Coke (Large),30 fl oz cup,0,0,0,0,0,0,0,0,0,35,1,0,0,0,0,0,0,0,0,0,0
Beverages,Diet Coke (Child),12 fl oz cup,0,0,0,0,0,0,0,0,0,15,1,0,0,0,0,0,0,0,0,0,0
Beverages,Dr Pepper (Small),16 fl oz cup,140,0,0,0,0,0,0,0,0,45,2,37,12,0,0,35,0,0,0,0,0
Beverages,Dr Pepper (Medium),21 fl oz cup,190,0,0,0,0,0,0,0,0,65,3,53,18,0,0,51,0,0,0,0,0
Beverages,Dr Pepper (Large),30 fl oz cup,270,0,0,0,0,0,0,0,0,90,4,72,24,0,0,70,0,0,0,0,0
Beverages,Dr Pepper (Child),12 fl oz cup,100,0,0,0,0,0,0,0,0,30,1,27,9,0,0,26,0,0,0,0,0
Beverages,Diet Dr Pepper (Small),16 fl oz cup,0,0,0,0,0,0,0,0,0,70,3,0,0,0,0,0,2,0,0,0,0
Beverages,Diet Dr Pepper (Medium),21 fl oz cup,0,0,0,0,0,0,0,0,0,100,4,0,0,0,0,0,3,0,0,0,0
Beverages,Diet Dr Pepper (Large),30 fl oz cup,0,0,0,0,0,0,0,0,0,140,6,0,0,0,0,0,4,0,0,0,0
Beverages,Diet Dr Pepper (Child),12 fl oz cup,0,0,0,0,0,0,0,0,0,50,2,0,0,0,0,0,1,0,0,0,0
Beverages,Sprite (Small),16 fl oz cup,140,0,0,0,0,0,0,0,0,30,1,37,12,0,0,37,0,0,0,0,0
Beverages,Sprite (Medium),21 fl oz cup,200,0,0,0,0,0,0,0,0,45,2,54,18,0,0,54,0,0,0,0,0
Beverages,Sprite (Large),30 fl oz cup,280,0,0,0,0,0,0,0,0,60,3,74,25,0,0,74,0,0,0,0,0
Beverages,Sprite (Child),12 fl oz cup,100,0,0,0,0,0,0,0,0,25,1,27,9,0,0,27,0,0,0,0,0
Beverages,1% Low Fat Milk Jug,1 carton (236 ml),100,20,2.5,4,1.5,8,0,10,3,125,5,12,4,0,0,12,8,10,4,30,0
Beverages,Fat Free Chocolate Milk Jug,1 carton (236 ml),130,0,0,0,0,0,0,5,2,135,6,23,8,1,2,22,9,10,0,30,8
Beverages,Minute Maid 100% Apple Juice Box,6 fl oz (177 ml),80,0,0,0,0,0,0,0,0,15,1,21,7,0,0,19,0,0,100,10,0
Beverages,Minute Maid Orange Juice (Small),12 fl oz cup,150,0,0,0,0,0,0,0,0,0,0,34,11,0,0,30,2,0,130,2,0
Beverages,Minute Maid Orange Juice (Medium),16 fl oz cup,190,0,0,0,0,0,0,0,0,0,0,44,15,0,0,39,3,0,160,4,0
Beverages,Minute Maid Orange Juice (Large),22 fl oz cup,280,0,0,0,0,0,0,0,0,5,0,65,22,0,0,58,4,0,240,4,0
Beverages,Dasani Water Bottle,16.9 fl oz,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
Coffee & Tea,Iced Tea (Small),16 fl oz cup,0,0,0,0,0,0,0,0,0,10,0,0,0,0,0,0,0,0,0,0,0
Coffee & Tea,Iced Tea (Medium),21 fl oz cup,0,0,0,0,0,0,0,0,0,10,0,0,0,0,0,0,0,0,0,0,0
Coffee & Tea,Iced Tea (Large),30 fl oz cup,0,0,0,0,0,0,0,0,0,15,1,0,0,0,0,0,0,0,0,0,0
Coffee & Tea,Iced Tea (Child),12 fl oz cup,0,0,0,0,0,0,0,0,0,5,0,0,0,0,0,0,0,0,0,0,0
Coffee & Tea,Sweet Tea (Small),16 fl oz cup,150,0,0,0,0,0,0,0,0,10,0,36,12,0,0,36,1,0,0,0,0
Coffee & Tea,Sweet Tea (Medium),21 fl oz cup,180,0,0,0,0,0,0,0,0,10,0,45,15,0,0,45,1,0,0,0,0
Coffee & Tea,Sweet Tea (Large),30 fl oz cup,220,0,0,0,0,0,0,0,0,10,1,54,18,0,0,54,1,0,0,0,0
Coffee & Tea,Sweet Tea (Child),12 fl oz cup,110,0,0,0,0,0,0,0,0,5,0,27,9,0,0,27,0,0,0,0,0
Coffee & Tea,Coffee (Small),12 fl oz cup,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
Coffee & Tea,Coffee (Medium),16 fl oz cup,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
Coffee & Tea,Coffee (Large),16 fl oz cup,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0
Coffee & Tea,Latte (Small),12 fl oz cup,170,80,9,13,5,24,0,25,9,115,5,15,5,1,3,12,9,8,0,30,0
Coffee & Tea,Latte (Medium),16 fl oz cup,210,90,10,16,6,30,0,30,11,140,6,18,6,1,4,15,11,10,0,35,0
Coffee & Tea,Latte (Large),20 fl oz cup,280,120,14,21,8,39,0,40,14,180,8,24,8,1,6,20,15,15,0,50,2
Coffee & Tea,Caramel Latte (Small),12 fl oz cup,270,80,9,13,5,24,0,25,9,115,5,40,13,1,3,38,9,8,0,30,0
Coffee & Tea,Caramel Latte (Medium),16 fl oz cup,340,90,10,16,6,30,0,30,11,140,6,50,17,1,4,48,11,10,0,35,0
Coffee & Tea,Caramel Latte (Large),20 fl oz cup,430,120,14,21,8,39,0,40,14,180,8,62,21,1,6,59,15,15,0,50,2
Coffee & Tea,Hazelnut Latte (Small),12 fl oz cup,270,80,9,13,5,24,0,25,9,115,5,40,13,1,3,38,9,8,0,30,0
Coffee & Tea,Hazelnut Latte (Medium),16 fl oz cup,330,90,10,16,6,30,0,30,11,140,6,50,17,1,4,47,11,10,0,35,0
Coffee & Tea,Hazelnut Latte (Large),20 fl oz cup,430,120,14,21,8,39,0,40,14,180,8,62,21,1,6,58,15,15,0,50,2
Coffee & Tea,French Vanilla Latte (Small),12 fl oz cup,260,80,9,13,5,24,0,25,9,115,5,38,13,1,3,36,9,8,0,30,0
Coffee & Tea,French Vanilla Latte (Medium),16 fl oz cup,330,90,10,16,6,30,0,30,11,140,6,48,16,1,4,45,11,10,0,35,2
Coffee & Tea,French Vanilla Latte (Large),20 fl oz cup,420,120,14,21,8,39,0,40,14,190,8,60,20,1,6,56,15,15,0,50,2
Coffee & Tea,Latte with Sugar Free French Vanilla Syrup (Small),12 fl oz cup,210,80,9,13,5,24,0,25,9,150,6,24,8,1,4,12,9,8,0,30,0
Coffee & Tea,Latte with Sugar Free French Vanilla Syrup (Medium),16 fl oz cup,260,90,10,16,6,30,0,30,11,190,8,29,10,1,5,15,12,10,0,35,0
Coffee & Tea,Latte with Sugar Free French Vanilla Syrup (Large),20 fl oz cup,330,120,14,21,8,39,0,40,14,240,10,37,12,2,7,20,15,15,0,50,2
Coffee & Tea,Nonfat Latte (Small),12 fl oz cup,100,0,0,0,0,0,0,5,2,110,5,15,5,1,3,13,10,10,0,30,0
Coffee & Tea,Nonfat Latte (Medium),16 fl oz cup,130,0,0,0,0,0,0,5,2,135,6,19,6,1,4,16,12,15,0,40,0
Coffee & Tea,Nonfat Latte (Large),20 fl oz cup,170,0,0.5,1,0,0,0,10,3,180,7,25,8,1,6,21,16,15,0,50,2
Coffee & Tea,Nonfat Caramel Latte (Small),12 fl oz cup,200,0,0,0,0,0,0,5,2,110,5,41,14,1,3,39,10,10,0,30,0
Coffee & Tea,Nonfat Caramel Latte (Medium),16 fl oz cup,250,0,0,0,0,0,0,5,2,135,6,51,17,1,4,48,12,15,0,40,0
Coffee & Tea,Nonfat Caramel Latte (Large),20 fl oz cup,310,0,0.5,1,0,0,0,10,3,180,7,63,21,1,6,59,16,15,0,50,2
Coffee & Tea,Nonfat Hazelnut Latte (Small),12 fl oz cup,200,0,0,0,0,0,0,5,2,110,5,40,13,1,3,38,10,10,0,30,0
Coffee & Tea,Nonfat Hazelnut Latte (Medium),16 fl oz cup,250,0,0,0,0,0,0,5,2,135,6,51,17,1,4,48,12,15,0,40,0
Coffee & Tea,Nonfat Hazelnut Latte (Large),20 fl oz cup,310,0,0.5,1,0,0,0,10,3,180,7,63,21,1,6,59,16,15,0,50,2
Coffee & Tea,Nonfat French Vanilla Latte (Small),12 fl oz cup,190,0,0,0,0,0,0,5,2,115,5,39,13,1,3,37,10,10,0,30,0
Coffee & Tea,Nonfat French Vanilla Latte (Medium),16 fl oz cup,240,0,0,0,0,0,0,5,2,140,6,49,16,1,4,46,12,15,0,40,2
Coffee & Tea,Nonfat French Vanilla Latte (Large),20 fl oz cup,300,0,0.5,1,0,0,0,10,3,180,8,60,20,1,6,56,16,15,0,50,2
Coffee & Tea,Nonfat Latte with Sugar Free French Vanilla Syrup (Small),12 fl oz cup,140,0,0,0,0,0,0,5,2,150,6,24,8,1,4,13,10,10,0,30,0
Coffee & Tea,Nonfat Latte with Sugar Free French Vanilla Syrup (Medium),16 fl oz cup,170,0,0,0,0,0,0,5,2,180,8,30,10,1,5,16,12,15,0,40,0
Coffee & Tea,Nonfat Latte with Sugar Free French Vanilla Syrup (Large),20 fl oz cup,220,0,0.5,1,0,0,0,10,3,240,10,38,13,2,7,21,16,15,0,50,2
Coffee & Tea,Mocha (Small),12 fl oz cup,340,100,11,18,7,34,0,35,12,150,6,49,16,2,6,42,10,10,0,30,6
Coffee & Tea,Mocha (Medium),16 fl oz cup,410,120,14,21,8,40,0,40,14,190,8,60,20,2,8,53,13,10,0,40,6
Coffee & Tea,Mocha (Large),20 fl oz cup,500,150,17,26,10,49,0.5,50,17,240,10,72,24,2,10,63,16,15,0,50,8
Coffee & Tea,Mocha with Nonfat Milk (Small),12 fl oz cup,270,30,3.5,5,2,11,0,15,5,150,6,49,16,2,6,43,11,10,0,35,6
Coffee & Tea,Mocha with Nonfat Milk (Medium),16 fl oz cup,330,30,3.5,6,2,11,0,15,5,190,8,60,20,2,8,53,13,15,0,40,6
Coffee & Tea,Mocha with Nonfat Milk (Large),20 fl oz cup,390,35,4,6,2.5,12,0,20,6,240,10,73,24,2,10,64,17,20,0,50,8
Coffee & Tea,Caramel Mocha (Small),12 fl oz cup,320,100,11,17,7,33,0,35,12,170,7,45,15,1,3,40,10,10,0,30,2
Coffee & Tea,Caramel Mocha (Medium),16 fl oz cup,390,120,14,21,8,40,0.5,40,14,220,9,55,18,1,4,50,12,15,0,40,2
Coffee & Tea,Caramel Mocha (Large),20 fl oz cup,480,150,17,26,10,49,0.5,50,17,270,11,66,22,1,5,60,16,15,0,50,4
Coffee & Tea,Nonfat Caramel Mocha (Small),12 fl oz cup,250,30,3.5,5,2,10,0,15,5,170,7,45,15,1,3,41,10,10,0,35,2
Coffee & Tea,Nonfat Caramel Mocha (Medium),16 fl oz cup,310,30,3.5,5,2,11,0,15,5,210,9,56,19,1,4,51,13,15,0,40,2
Coffee & Tea,Nonfat Caramel Mocha (Large),20 fl oz cup,370,35,3.5,6,2.5,11,0,20,6,270,11,67,22,1,5,61,17,20,0,50,4
Coffee & Tea,Hot Chocolate (Small),12 fl oz cup,360,120,13,21,8,39,0,40,14,180,8,50,17,1,3,45,11,10,0,40,6
Coffee & Tea,Hot Chocolate (Medium),16 fl oz cup,440,140,16,25,9,47,0.5,50,16,220,9,61,20,1,4,56,14,15,0,45,6
Coffee & Tea,Hot Chocolate (Large),20 fl oz cup,540,180,20,31,12,58,0.5,60,20,280,12,73,24,1,5,68,17,20,0,60,8
Coffee & Tea,Hot Chocolate with Nonfat Milk (Small),12 fl oz cup,280,30,3.5,5,2,11,0,15,5,180,7,50,17,1,3,46,12,15,0,40,6
Coffee & Tea,Hot Chocolate with Nonfat Milk (Medium),16 fl oz cup,340,30,3.5,5,2,11,0,15,6,220,9,61,20,1,4,57,14,20,0,50,6
Coffee & Tea,Hot Chocolate with Nonfat Milk (Large),20 fl oz cup,400,35,3.5,6,2.5,12,0,20,7,280,12,74,25,1,5,69,19,25,0,60,8
Coffee & Tea,Regular Iced Coffee (Small),16 fl oz cup,140,40,4.5,7,3,15,0,15,6,35,1,23,8,0,0,22,1,4,0,4,0
Coffee & Tea,Regular Iced Coffee (Medium),22 fl oz cup,190,60,7,11,4.5,22,0,25,9,50,2,31,10,0,0,30,1,4,0,4,0
Coffee & Tea,Regular Iced Coffee (Large),32 fl oz cup,270,80,9,14,6,29,0,35,12,75,3,47,16,0,0,45,2,6,0,8,0
Coffee & Tea,Caramel Iced Coffee (Small),16 fl oz cup,130,40,4.5,7,3,15,0,15,6,35,2,22,7,0,0,21,1,4,0,4,0
Coffee & Tea,Caramel Iced Coffee (Medium),22 fl oz cup,180,60,7,11,4.5,22,0,25,9,50,2,29,10,0,0,28,1,4,0,4,0
Coffee & Tea,Caramel Iced Coffee (Large),32 fl oz cup,260,80,9,14,6,29,0,35,12,65,3,43,14,0,0,42,2,6,0,6,0
Coffee & Tea,Hazelnut Iced Coffee (Small),16 fl oz cup,130,40,4.5,7,3,15,0,15,6,35,1,21,7,0,0,20,1,4,0,4,0
Coffee & Tea,Hazelnut Iced Coffee (Medium),22 fl oz cup,180,60,7,11,4.5,22,0,25,9,50,2,29,10,0,0,28,1,4,0,4,0
Coffee & Tea,Hazelnut Iced Coffee (Large),32 fl oz cup,250,80,9,14,6,29,0,35,12,75,3,43,14,0,0,41,2,6,0,8,0
Coffee & Tea,French Vanilla Iced Coffee (Small),16 fl oz cup,120,40,4.5,7,3,15,0,15,6,40,2,20,7,0,0,19,1,4,0,4,0
Coffee & Tea,French Vanilla Iced Coffee (Medium),22 fl oz cup,170,60,7,11,4.5,22,0,25,9,55,2,27,9,0,0,26,1,4,0,4,0
Coffee & Tea,French Vanilla Iced Coffee (Large),32 fl oz cup,240,80,9,14,6,29,0,35,12,80,3,41,14,0,0,39,2,6,0,8,0
Coffee & Tea,Iced Coffee with Sugar Free French Vanilla Syrup (Small),16 fl oz cup,80,40,4.5,7,3,15,0,15,6,65,3,9,3,0,0,1,1,4,0,4,0
Coffee & Tea,Iced Coffee with Sugar Free French Vanilla Syrup (Medium),22 fl oz cup,120,60,7,11,4.5,22,0,25,9,90,4,12,4,0,0,2,1,4,0,4,0
Coffee & Tea,Iced Coffee with Sugar Free French Vanilla Syrup (Large),32 fl oz cup,160,80,9,14,6,29,0,35,12,135,6,18,6,0,0,2,2,6,0,8,0
Coffee & Tea,Iced Mocha (Small),12 fl oz cup,290,100,11,17,7,33,0,35,12,125,5,41,14,1,4,34,8,10,0,25,4
Coffee & Tea,Iced Mocha (Medium),16 fl oz cup,350,110,13,19,8,38,0,40,13,150,6,50,17,1,5,43,9,10,0,30,6
Coffee & Tea,Iced Mocha (Large),22 fl oz cup,480,150,16,25,10,49,0.5,50,17,220,9,70,23,2,8,62,14,15,0,40,8
Coffee & Tea,Iced Mocha with Nonfat Milk (Small),12 fl oz cup,240,45,5,8,3,16,0,20,7,125,5,41,14,1,4,35,8,10,0,25,4
Coffee & Tea,Iced Mocha with Nonfat Milk (Medium),16 fl oz cup,290,45,5,8,3.5,17,0,20,7,150,6,50,17,1,5,43,10,15,0,30,6
Coffee & Tea,Iced Mocha with Nonfat Milk (Large),22 fl oz cup,390,50,6,9,3.5,18,0,25,8,220,9,71,24,2,8,62,14,20,0,45,8
Coffee & Tea,Iced Caramel Mocha (Small),12 fl oz cup,280,100,11,17,7,33,0,35,12,140,6,38,13,0,0,33,8,10,0,25,2
Coffee & Tea,Iced Caramel Mocha (Medium),16 fl oz cup,340,110,13,19,7,37,0,40,13,170,7,46,15,1,2,41,9,10,0,30,2
Coffee & Tea,Iced Caramel Mocha (Large),22 fl oz cup,460,150,16,25,10,48,0.5,50,17,250,10,65,22,1,3,59,13,15,0,40,4
Coffee & Tea,Iced Nonfat Caramel Mocha (Small),12 fl oz cup,230,45,5,8,3,16,0,20,7,140,6,38,13,0,0,33,8,10,0,25,2
Coffee & Tea,Iced Nonfat Caramel Mocha (Medium),16 fl oz cup,270,45,5,8,3,16,0,20,7,170,7,47,16,1,2,41,10,15,0,30,2
Coffee & Tea,Iced Nonfat Caramel Mocha (Large),22 fl oz cup,370,50,6,8,3.5,17,0,25,8,250,10,65,22,1,3,59,14,20,0,45,4
Coffee & Tea,Frappé Mocha (Small),12 fl oz cup,450,160,18,28,12,59,1,65,21,125,5,65,22,1,3,57,7,15,0,20,4
Coffee & Tea,Frappé Mocha (Medium),16 fl oz cup,550,200,22,34,14,71,1,75,25,160,7,80,27,1,4,71,9,15,0,25,4
Coffee & Tea,Frappé Mocha (Large),22 fl oz cup,670,240,26,41,17,85,1,90,30,190,8,98,33,1,4,88,11,20,0,35,4
Coffee & Tea,Frappé Caramel (Small),12 fl oz cup,450,170,19,29,12,60,1,65,22,125,5,64,21,0,0,57,7,15,0,25,2
Coffee & Tea,Frappé Caramel (Medium),16 fl oz cup,550,200,23,35,15,73,1,80,27,160,7,79,26,0,0,71,9,20,0,30,2
Coffee & Tea,Frappé Caramel (Large),22 fl oz cup,670,250,27,42,17,87,1.5,95,32,190,8,96,32,0,0,88,11,20,0,35,2
Coffee & Tea,Frappé Chocolate Chip (Small),12 fl oz cup,530,200,23,35,14,72,1,65,22,135,6,76,25,1,5,67,8,15,0,25,4
Coffee & Tea,Frappé Chocolate Chip (Medium),16 fl oz cup,630,240,26,41,17,85,1,80,26,160,7,91,30,1,5,81,9,15,0,30,4
Coffee & Tea,Frappé Chocolate Chip (Large),22 fl oz cup,760,280,31,48,20,101,1.5,95,32,200,8,111,37,1,5,99,12,20,0,35,6
Smoothies & Shakes,Blueberry Pomegranate Smoothie (Small),12 fl oz cup,220,5,0.5,1,0,0,0,5,1,40,2,50,17,3,12,44,2,0,2,6,2
Smoothies & Shakes,Blueberry Pomegranate Smoothie (Medium),16 fl oz cup,260,5,1,1,0,0,0,5,1,50,2,62,21,4,15,54,3,0,4,8,2
Smoothies & Shakes,Blueberry Pomegranate Smoothie (Large),22 fl oz cup,340,10,1,2,0.5,3,0,5,2,65,3,79,26,5,19,70,4,0,4,10,2
Smoothies & Shakes,Strawberry Banana Smoothie (Small),12 fl oz cup,210,5,0.5,1,0,0,0,5,1,50,2,47,16,3,10,44,3,0,30,8,2
Smoothies & Shakes,Strawberry Banana Smoothie (Medium),16 fl oz cup,250,5,1,1,0,0,0,5,1,60,2,58,19,3,13,54,4,0,35,8,4
Smoothies & Shakes,Strawberry Banana Smoothie (Large),22 fl oz cup,330,10,1,2,0.5,3,0,5,2,80,3,74,25,4,16,70,5,0,45,10,4
Smoothies & Shakes,Mango Pineapple Smoothie (Small),12 fl oz cup,210,5,0.5,1,0,0,0,5,1,40,2,50,17,1,4,46,2,30,20,8,2
Smoothies & Shakes,Mango Pineapple Smoothie (Medium),16 fl oz cup,260,10,1,1,0,0,0,5,1,45,2,61,20,1,5,56,3,40,25,8,2
Smoothies & Shakes,Mango Pineapple Smoothie (Large),22 fl oz cup,340,10,1,2,0.5,3,0,5,2,60,3,78,26,2,6,72,4,50,30,10,2
Smoothies & Shakes,Vanilla Shake (Small),12 fl oz cup,530,140,15,24,10,49,1,60,20,160,7,86,29,0,0,63,11,20,0,40,0
Smoothies & Shakes,Vanilla Shake (Medium),16 fl oz cup,660,170,19,29,12,61,1,75,24,200,9,109,36,0,0,81,14,25,0,50,0
Smoothies & Shakes,Vanilla Shake (Large),22 fl oz cup,820,210,23,35,15,73,1,90,29,260,11,135,45,0,0,101,18,30,0,60,0
Smoothies & Shakes,Strawberry Shake (Small),12 fl oz cup,550,150,16,25,10,52,1,60,21,160,7,90,30,0,0,79,12,20,0,40,0
Smoothies & Shakes,Strawberry Shake (Medium),16 fl oz cup,690,180,20,30,13,63,1,75,25,210,9,114,38,0,0,100,15,25,0,50,0
Smoothies & Shakes,Strawberry Shake (Large),22 fl oz cup,850,210,24,36,15,75,1,90,30,260,11,140,47,0,0,123,18,30,0,70,0
Smoothies & Shakes,Chocolate Shake (Small),12 fl oz cup,560,150,16,25,10,51,1,60,20,240,10,91,30,1,5,77,12,20,0,40,8
Smoothies & Shakes,Chocolate Shake (Medium),16 fl oz cup,700,180,20,30,12,62,1,75,24,300,13,114,38,2,6,97,15,25,0,50,10
Smoothies & Shakes,Chocolate Shake (Large),22 fl oz cup,850,210,23,36,15,74,1,85,29,380,16,141,47,2,8,120,19,30,0,60,15
Smoothies & Shakes,Shamrock Shake (Medium),16 fl oz cup,660,170,19,29,12,61,1,75,24,210,9,109,36,0,0,93,14,25,0,50,0
Smoothies & Shakes,Shamrock Shake (Large),22 fl oz cup,820,210,23,35,15,73,1,90,29,260,11,135,45,0,0,115,18,30,0,60,0
Smoothies & Shakes,McFlurry with M&M’s Candies (Small),10.9 oz (310 g),650,210,23,35,14,72,0.5,50,17,180,7,96,32,1,6,89,13,15,0,45,8
Smoothies & Shakes,McFlurry with M&M’s Candies (Medium),16.2 oz (460 g),930,290,33,50,20,102,1,75,25,260,11,139,46,2,7,128,20,25,0,70,10
Smoothies & Shakes,McFlurry with M&M’s Candies (Snack),7.3 oz (207 g),430,140,15,24,10,48,0,35,11,120,5,64,21,1,4,59,9,10,0,30,4
Smoothies & Shakes,McFlurry with Oreo Cookies (Small),10.1 oz (285 g),510,150,17,26,9,44,0.5,45,14,280,12,80,27,1,4,64,12,15,0,40,8
Smoothies & Shakes,McFlurry with Oreo Cookies (Medium),13.4 oz (381 g),690,200,23,35,12,58,1,55,19,380,16,106,35,1,5,85,15,20,0,50,10
Smoothies & Shakes,McFlurry with Oreo Cookies (Snack),6.7 oz (190 g),340,100,11,17,6,29,0,30,9,190,8,53,18,1,2,43,8,10,0,25,6
Smoothies & Shakes,McFlurry with Reese's Peanut Butter Cups (Medium),14.2 oz (403 g),810,290,32,50,15,76,1,60,20,400,17,114,38,2,9,103,21,20,0,60,6
Smoothies & Shakes,McFlurry with Reese's Peanut Butter Cups (Snack),7.1 oz (202 g),410,150,16,25,8,38,0,30,10,200,8,57,19,1,5,51,10,10,0,30,4
jupyter/pliki/dane_miast.csv 0 → 100644
miasto,populacja,wojewodzkie
Łódź,677286,1
Radom,209296,0
Kraków,780981,1
Poznań,533830,1
Warszawa,1793579,1
Białystok,297585,1
Katowice,289162,1
Gdańsk,471525,1
Wrocław,643782,1
jupyter/pliki/drinksbycountry.csv 0 → 100644
country,beer_servings,spirit_servings,wine_servings,total_litres_of_pure_alcohol,continent
Afghanistan,0,0,0,0.0,Asia
Albania,89,132,54,4.9,Europe
Algeria,25,0,14,0.7,Africa
Andorra,245,138,312,12.4,Europe
Angola,217,57,45,5.9,Africa
Antigua & Barbuda,102,128,45,4.9,North America
Argentina,193,25,221,8.3,South America
Armenia,21,179,11,3.8,Europe
Australia,261,72,212,10.4,Oceania
Austria,279,75,191,9.7,Europe
Azerbaijan,21,46,5,1.3,Europe
Bahamas,122,176,51,6.3,North America
Bahrain,42,63,7,2.0,Asia
Bangladesh,0,0,0,0.0,Asia
Barbados,143,173,36,6.3,North America
Belarus,142,373,42,14.4,Europe
Belgium,295,84,212,10.5,Europe
Belize,263,114,8,6.8,North America
Benin,34,4,13,1.1,Africa
Bhutan,23,0,0,0.4,Asia
Bolivia,167,41,8,3.8,South America
Bosnia-Herzegovina,76,173,8,4.6,Europe
Botswana,173,35,35,5.4,Africa
Brazil,245,145,16,7.2,South America
Brunei,31,2,1,0.6,Asia
Bulgaria,231,252,94,10.3,Europe
Burkina Faso,25,7,7,4.3,Africa
Burundi,88,0,0,6.3,Africa
Cote d'Ivoire,37,1,7,4.0,Africa
Cabo Verde,144,56,16,4.0,Africa
Cambodia,57,65,1,2.2,Asia
Cameroon,147,1,4,5.8,Africa
Canada,240,122,100,8.2,North America
Central African Republic,17,2,1,1.8,Africa
Chad,15,1,1,0.4,Africa
Chile,130,124,172,7.6,South America
China,79,192,8,5.0,Asia
Colombia,159,76,3,4.2,South America
Comoros,1,3,1,0.1,Africa
Congo,76,1,9,1.7,Africa
Cook Islands,0,254,74,5.9,Oceania
Costa Rica,149,87,11,4.4,North America
Croatia,230,87,254,10.2,Europe
Cuba,93,137,5,4.2,North America
Cyprus,192,154,113,8.2,Europe
Czech Republic,361,170,134,11.8,Europe
North Korea,0,0,0,0.0,Asia
DR Congo,32,3,1,2.3,Africa
Denmark,224,81,278,10.4,Europe
Djibouti,15,44,3,1.1,Africa
Dominica,52,286,26,6.6,North America
Dominican Republic,193,147,9,6.2,North America
Ecuador,162,74,3,4.2,South America
Egypt,6,4,1,0.2,Africa
El Salvador,52,69,2,2.2,North America
Equatorial Guinea,92,0,233,5.8,Africa
Eritrea,18,0,0,0.5,Africa
Estonia,224,194,59,9.5,Europe
Ethiopia,20,3,0,0.7,Africa
Fiji,77,35,1,2.0,Oceania
Finland,263,133,97,10.0,Europe
France,127,151,370,11.8,Europe
Gabon,347,98,59,8.9,Africa
Gambia,8,0,1,2.4,Africa
Georgia,52,100,149,5.4,Europe
Germany,346,117,175,11.3,Europe
Ghana,31,3,10,1.8,Africa
Greece,133,112,218,8.3,Europe
Grenada,199,438,28,11.9,North America
Guatemala,53,69,2,2.2,North America
Guinea,9,0,2,0.2,Africa
Guinea-Bissau,28,31,21,2.5,Africa
Guyana,93,302,1,7.1,South America
Haiti,1,326,1,5.9,North America
Honduras,69,98,2,3.0,North America
Hungary,234,215,185,11.3,Europe
Iceland,233,61,78,6.6,Europe
India,9,114,0,2.2,Asia
Indonesia,5,1,0,0.1,Asia
Iran,0,0,0,0.0,Asia
Iraq,9,3,0,0.2,Asia
Ireland,313,118,165,11.4,Europe
Israel,63,69,9,2.5,Asia
Italy,85,42,237,6.5,Europe
Jamaica,82,97,9,3.4,North America
Japan,77,202,16,7.0,Asia
Jordan,6,21,1,0.5,Asia
Kazakhstan,124,246,12,6.8,Asia
Kenya,58,22,2,1.8,Africa
Kiribati,21,34,1,1.0,Oceania
Kuwait,0,0,0,0.0,Asia
Kyrgyzstan,31,97,6,2.4,Asia
Laos,62,0,123,6.2,Asia
Latvia,281,216,62,10.5,Europe
Lebanon,20,55,31,1.9,Asia
Lesotho,82,29,0,2.8,Africa
Liberia,19,152,2,3.1,Africa
Libya,0,0,0,0.0,Africa
Lithuania,343,244,56,12.9,Europe
Luxembourg,236,133,271,11.4,Europe
Madagascar,26,15,4,0.8,Africa
Malawi,8,11,1,1.5,Africa
Malaysia,13,4,0,0.3,Asia
Maldives,0,0,0,0.0,Asia
Mali,5,1,1,0.6,Africa
Malta,149,100,120,6.6,Europe
Marshall Islands,0,0,0,0.0,Oceania
Mauritania,0,0,0,0.0,Africa
Mauritius,98,31,18,2.6,Africa
Mexico,238,68,5,5.5,North America
Micronesia,62,50,18,2.3,Oceania
Monaco,0,0,0,0.0,Europe
Mongolia,77,189,8,4.9,Asia
Montenegro,31,114,128,4.9,Europe
Morocco,12,6,10,0.5,Africa
Mozambique,47,18,5,1.3,Africa
Myanmar,5,1,0,0.1,Asia
Namibia,376,3,1,6.8,Africa
Nauru,49,0,8,1.0,Oceania
Nepal,5,6,0,0.2,Asia
Netherlands,251,88,190,9.4,Europe
New Zealand,203,79,175,9.3,Oceania
Nicaragua,78,118,1,3.5,North America
Niger,3,2,1,0.1,Africa
Nigeria,42,5,2,9.1,Africa
Niue,188,200,7,7.0,Oceania
Norway,169,71,129,6.7,Europe
Oman,22,16,1,0.7,Asia
Pakistan,0,0,0,0.0,Asia
Palau,306,63,23,6.9,Oceania
Panama,285,104,18,7.2,North America
Papua New Guinea,44,39,1,1.5,Oceania
Paraguay,213,117,74,7.3,South America
Peru,163,160,21,6.1,South America
Philippines,71,186,1,4.6,Asia
Poland,343,215,56,10.9,Europe
Portugal,194,67,339,11.0,Europe
Qatar,1,42,7,0.9,Asia
South Korea,140,16,9,9.8,Asia
Moldova,109,226,18,6.3,Europe
Romania,297,122,167,10.4,Europe
Russian Federation,247,326,73,11.5,Asia
Rwanda,43,2,0,6.8,Africa
St. Kitts & Nevis,194,205,32,7.7,North America
St. Lucia,171,315,71,10.1,North America
St. Vincent & the Grenadines,120,221,11,6.3,North America
Samoa,105,18,24,2.6,Oceania
San Marino,0,0,0,0.0,Europe
Sao Tome & Principe,56,38,140,4.2,Africa
Saudi Arabia,0,5,0,0.1,Asia
Senegal,9,1,7,0.3,Africa
Serbia,283,131,127,9.6,Europe
Seychelles,157,25,51,4.1,Africa
Sierra Leone,25,3,2,6.7,Africa
Singapore,60,12,11,1.5,Asia
Slovakia,196,293,116,11.4,Europe
Slovenia,270,51,276,10.6,Europe
Solomon Islands,56,11,1,1.2,Oceania
Somalia,0,0,0,0.0,Africa
South Africa,225,76,81,8.2,Africa
Spain,284,157,112,10.0,Europe
Sri Lanka,16,104,0,2.2,Asia
Sudan,8,13,0,1.7,Africa
Suriname,128,178,7,5.6,South America
Swaziland,90,2,2,4.7,Africa
Sweden,152,60,186,7.2,Europe
Switzerland,185,100,280,10.2,Europe
Syria,5,35,16,1.0,Asia
Tajikistan,2,15,0,0.3,Asia
Thailand,99,258,1,6.4,Asia
Macedonia,106,27,86,3.9,Europe
Timor-Leste,1,1,4,0.1,Asia
Togo,36,2,19,1.3,Africa
Tonga,36,21,5,1.1,Oceania
Trinidad & Tobago,197,156,7,6.4,North America
Tunisia,51,3,20,1.3,Africa
Turkey,51,22,7,1.4,Asia
Turkmenistan,19,71,32,2.2,Asia
Tuvalu,6,41,9,1.0,Oceania
Uganda,45,9,0,8.3,Africa
Ukraine,206,237,45,8.9,Europe
United Arab Emirates,16,135,5,2.8,Asia
United Kingdom,219,126,195,10.4,Europe
Tanzania,36,6,1,5.7,Africa
USA,249,158,84,8.7,North America
Uruguay,115,35,220,6.6,South America
Uzbekistan,25,101,8,2.4,Asia
Vanuatu,21,18,11,0.9,Oceania
Venezuela,333,100,3,7.7,South America
Vietnam,111,2,1,2.0,Asia
Yemen,6,0,0,0.1,Asia
Zambia,32,19,4,2.5,Africa
Zimbabwe,64,18,4,4.7,Africa
jupyter/pliki/emps.csv 0 → 100644
employee_id;first_name;last_name;job_title;salary;hire_date;department_name;address;postal_code;city;country
100;Steven;King;President;24000;1997-06-17;Executive;2004 Charade Rd;98199;Seattle;United States of America
101;Neena;Kochhar;Administration Vice President;17000;1999-09-21;Executive;2004 Charade Rd;98199;Seattle;United States of America
102;Lex;De Haan;Administration Vice President;17000;2003-01-13;Executive;2004 Charade Rd;98199;Seattle;United States of America
103;Alexander;Hunold;Programmer;9000;2000-01-03;IT;2014 Jabberwocky Rd;26192;Southlake;United States of America
104;Bruce;Ernst;Programmer;6000;2001-05-21;IT;2014 Jabberwocky Rd;26192;Southlake;United States of America
105;David;Austin;Programmer;4800;2007-06-25;IT;2014 Jabberwocky Rd;26192;Southlake;United States of America
106;Valli;Pataballa;Programmer;4800;2008-02-05;IT;2014 Jabberwocky Rd;26192;Southlake;United States of America
107;Diana;Lorentz;Programmer;4200;2009-02-07;IT;2014 Jabberwocky Rd;26192;Southlake;United States of America
108;Nancy;Greenberg;Finance Manager;12000;2004-08-17;Finance;2004 Charade Rd;98199;Seattle;United States of America
109;Daniel;Faviet;Accountant;9000;2004-08-16;Finance;2004 Charade Rd;98199;Seattle;United States of America
110;John;Chen;Accountant;8200;2007-09-28;Finance;2004 Charade Rd;98199;Seattle;United States of America
111;Ismael;Sciarra;Accountant;7700;2007-09-30;Finance;2004 Charade Rd;98199;Seattle;United States of America
112;Jose Manuel;Urman;Accountant;7800;1998-03-07;Finance;2004 Charade Rd;98199;Seattle;United States of America
113;Luis;Popp;Accountant;6900;2009-12-07;Finance;2004 Charade Rd;98199;Seattle;United States of America
114;Den;Raphaely;Purchasing Manager;11000;2004-12-07;Purchasing;2004 Charade Rd;98199;Seattle;United States of America
115;Alexander;Khoo;Purchasing Clerk;3100;2005-05-18;Purchasing;2004 Charade Rd;98199;Seattle;United States of America
116;Shelli;Baida;Purchasing Clerk;2900;2007-12-24;Purchasing;2004 Charade Rd;98199;Seattle;United States of America
117;Sigal;Tobias;Purchasing Clerk;2800;2007-07-24;Purchasing;2004 Charade Rd;98199;Seattle;United States of America
118;Guy;Himuro;Purchasing Clerk;2600;2008-11-15;Purchasing;2004 Charade Rd;98199;Seattle;United States of America
119;Karen;Colmenares;Purchasing Clerk;2500;2009-08-10;Purchasing;2004 Charade Rd;98199;Seattle;United States of America
120;Matthew;Weiss;Stock Manager;8000;2006-07-18;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
121;Adam;Fripp;Stock Manager;8200;2007-04-10;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
122;Payam;Kaufling;Stock Manager;7900;2005-05-01;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
123;Shanta;Vollman;Stock Manager;6500;2007-10-10;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
124;Kevin;Mourgos;Stock Manager;5800;2009-11-16;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
125;Julia;Nayer;Stock Clerk;3200;2007-07-16;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
126;Irene;Mikkilineni;Stock Clerk;2700;2008-09-28;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
127;James;Landry;Stock Clerk;2400;2009-01-14;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
128;Steven;Markle;Stock Clerk;2200;2010-03-08;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
129;Laura;Bissot;Stock Clerk;3300;2007-08-20;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
130;Mozhe;Atkinson;Stock Clerk;2800;2007-10-30;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
131;James;Marlow;Stock Clerk;2500;2007-02-16;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
132;TJ;Olson;Stock Clerk;2100;2009-04-10;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
133;Jason;Mallin;Stock Clerk;3300;2006-06-14;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
134;Michael;Rogers;Stock Clerk;2900;2008-08-26;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
135;Ki;Gee;Stock Clerk;2400;2009-12-12;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
136;Hazel;Philtanker;Stock Clerk;2200;2011-02-06;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
137;Renske;Ladwig;Stock Clerk;3600;2005-07-14;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
138;Stephen;Stiles;Stock Clerk;3200;2007-10-26;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
139;John;Seo;Stock Clerk;2700;2008-02-12;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
140;Joshua;Patel;Stock Clerk;2500;2008-04-06;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
141;Trenna;Rajs;Stock Clerk;3500;2005-10-17;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
142;Curtis;Davies;Stock Clerk;3100;2007-01-29;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
143;Randall;Matos;Stock Clerk;2600;2008-03-15;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
144;Peter;Vargas;Stock Clerk;2500;2008-07-09;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
145;John;Russell;Sales Manager;14000;2006-10-01;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
146;Karen;Partners;Sales Manager;13500;2007-01-05;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
147;Alberto;Errazuriz;Sales Manager;12000;2007-03-10;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
148;Gerald;Cambrault;Sales Manager;11000;2009-10-15;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
149;Eleni;Zlotkey;Sales Manager;10500;2000-01-29;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
150;Peter;Tucker;Sales Representative;10000;2007-01-30;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
151;David;Bernstein;Sales Representative;9500;2007-03-24;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
152;Peter;Hall;Sales Representative;9000;2007-08-20;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
153;Christopher;Olsen;Sales Representative;8000;2008-03-30;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
154;Nanette;Cambrault;Sales Representative;7500;2008-12-09;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
155;Oliver;Tuvault;Sales Representative;7000;2009-11-23;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
156;Janette;King;Sales Representative;10000;2006-01-30;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
157;Patrick;Sully;Sales Representative;9500;2006-03-04;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
158;Allan;McEwen;Sales Representative;9000;2006-08-01;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
159;Lindsey;Smith;Sales Representative;8000;2007-03-10;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
160;Louise;Doran;Sales Representative;7500;2007-12-15;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
161;Sarath;Sewall;Sales Representative;7000;2008-11-03;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
162;Clara;Vishney;Sales Representative;10500;2007-11-11;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
163;Danielle;Greene;Sales Representative;9500;2009-03-19;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
164;Mattea;Marvins;Sales Representative;7200;2010-01-24;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
165;David;Lee;Sales Representative;6800;2000-02-23;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
166;Sundar;Ande;Sales Representative;6400;2000-03-24;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
167;Amit;Banda;Sales Representative;6200;2000-04-21;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
168;Lisa;Ozer;Sales Representative;11500;2007-03-11;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
169;Harrison;Bloom;Sales Representative;10000;2008-03-23;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
170;Tayler;Fox;Sales Representative;9600;2008-01-24;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
171;William;Smith;Sales Representative;7400;2009-02-23;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
172;Elizabeth;Bates;Sales Representative;7300;2009-03-24;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
173;Sundita;Kumar;Sales Representative;6100;2010-04-21;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
174;Ellen;Abel;Sales Representative;11000;2006-05-11;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
175;Alyssa;Hutton;Sales Representative;8800;2007-03-19;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
176;Jonathon;Taylor;Sales Representative;8600;2008-03-24;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
177;Jack;Livingston;Sales Representative;8400;2008-04-23;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
178;Kimberely;Grant;Sales Representative;7000;2009-05-24;;;;;
179;Charles;Johnson;Sales Representative;6200;2011-01-04;Sales;Magdalen Centre, The Oxford Science Park;OX9 9ZB;Oxford;United Kingdom
180;Winston;Taylor;Shipping Clerk;3200;2008-01-24;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
181;Jean;Fleaur;Shipping Clerk;3100;2008-02-23;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
182;Martha;Sullivan;Shipping Clerk;2500;2009-06-21;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
183;Girard;Geoni;Shipping Clerk;2800;2000-02-03;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
184;Nandita;Sarchand;Shipping Clerk;4200;2006-01-27;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
185;Alexis;Bull;Shipping Clerk;4100;2007-02-20;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
186;Julia;Dellinger;Shipping Clerk;3400;2008-06-24;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
187;Anthony;Cabrio;Shipping Clerk;3000;2009-02-07;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
188;Kelly;Chung;Shipping Clerk;3800;2007-06-14;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
189;Jennifer;Dilly;Shipping Clerk;3600;2007-08-13;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
190;Timothy;Gates;Shipping Clerk;2900;2008-07-11;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
191;Randall;Perkins;Shipping Clerk;2500;2009-12-19;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
192;Sarah;Bell;Shipping Clerk;4000;2006-02-04;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
193;Britney;Everett;Shipping Clerk;3900;2007-03-03;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
194;Samuel;McCain;Shipping Clerk;3200;2008-07-01;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
195;Vance;Jones;Shipping Clerk;2800;2009-03-17;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
196;Alana;Walsh;Shipping Clerk;3100;2008-04-24;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
197;Kevin;Feeney;Shipping Clerk;3000;2008-05-23;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
198;Donald;OConnell;Shipping Clerk;2600;2009-06-21;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
199;Douglas;Grant;Shipping Clerk;2600;2010-01-13;Shipping;2011 Interiors Blvd;99236;South San Francisco;United States of America
200;Jennifer;Whalen;Administration Assistant;4400;1987-09-17;Administration;2004 Charade Rd;98199;Seattle;United States of America
201;Michael;Hartstein;Marketing Manager;13000;2006-02-17;Marketing;147 Spadina Ave;M5V 2L7;Toronto;Canada
202;Pat;Fay;Marketing Representative;6000;2007-08-17;Marketing;147 Spadina Ave;M5V 2L7;Toronto;Canada
203;Susan;Mavris;Human Resources Representative;6500;2004-06-07;Human Resources;8204 Arthur St;;London;United Kingdom
204;Hermann;Baer;Public Relations Representative;10000;2004-06-07;Public Relations;Schwanthalerstr. 7031;80925;Munich;Germany
205;Shelley;Higgins;Accounting Manager;12000;2004-06-07;Accounting;2004 Charade Rd;98199;Seattle;United States of America
206;William;Gietz;Public Accountant;8300;2004-06-07;Accounting;2004 Charade Rd;98199;Seattle;United States of America
jupyter/pliki/f500.csv 0 → 100644
company,rank,revenues,revenue_change,profits,assets,profit_change,ceo,industry,sector,previous_rank,country,hq_location,website,years_on_global_500_list,employees,total_stockholder_equity
Walmart,1,485873,0.8,13643.0,198825,-7.2,C. Douglas McMillon,General Merchandisers,Retailing,1,USA,"Bentonville, AR",http://www.walmart.com,23,2300000,77798
State Grid,2,315199,-4.4,9571.3,489838,-6.2,Kou Wei,Utilities,Energy,2,China,"Beijing, China",http://www.sgcc.com.cn,17,926067,209456
Sinopec Group,3,267518,-9.1,1257.9,310726,-65.0,Wang Yupu,Petroleum Refining,Energy,4,China,"Beijing, China",http://www.sinopec.com,19,713288,106523
China National Petroleum,4,262573,-12.3,1867.5,585619,-73.7,Zhang Jianhua,Petroleum Refining,Energy,3,China,"Beijing, China",http://www.cnpc.com.cn,17,1512048,301893
Toyota Motor,5,254694,7.7,16899.3,437575,-12.3,Akio Toyoda,Motor Vehicles and Parts,Motor Vehicles & Parts,8,Japan,"Toyota, Japan",http://www.toyota-global.com,23,364445,157210
Volkswagen,6,240264,1.5,5937.3,432116,,Matthias Muller,Motor Vehicles and Parts,Motor Vehicles & Parts,7,Germany,"Wolfsburg, Germany",http://www.volkswagen.com,23,626715,97753
Royal Dutch Shell,7,240033,-11.8,4575.0,411275,135.9,Ben van Beurden,Petroleum Refining,Energy,5,Netherlands,"The Hague, Netherlands",http://www.shell.com,23,89000,186646
Berkshire Hathaway,8,223604,6.1,24074.0,620854,,Warren E. Buffett,Insurance: Property and Casualty (Stock),Financials,11,USA,"Omaha, NE",http://www.berkshirehathaway.com,21,367700,283001
Apple,9,215639,-7.7,45687.0,321686,-14.4,Timothy D. Cook,"Computers, Office Equipment",Technology,9,USA,"Cupertino, CA",http://www.apple.com,15,116000,128249
Exxon Mobil,10,205004,-16.7,7840.0,330314,-51.5,Darren W. Woods,Petroleum Refining,Energy,6,USA,"Irving, TX",http://www.exxonmobil.com,23,72700,167325
McKesson,11,198533,3.1,5070.0,60969,124.5,John H. Hammergren,Wholesalers: Health Care,Wholesalers,12,USA,"San Francisco, CA",http://www.mckesson.com,23,64500,11095
BP,12,186606,-17.4,115.0,263316,,Robert W. Dudley,Petroleum Refining,Energy,10,Britain,"London, Britain",http://www.bp.com,23,74500,95286
UnitedHealth Group,13,184840,17.7,7017.0,122810,20.7,Stephen J. Hemsley,Health Care: Insurance and Managed Care,Health Care,17,USA,"Minnetonka, MN",http://www.unitedhealthgroup.com,21,230000,38274
CVS Health,14,177526,15.8,5317.0,94462,1.5,Larry J. Merlo,Health Care: Pharmacy and Other Services,Health Care,18,USA,"Woonsocket, RI",http://www.cvshealth.com,22,204000,36830
Samsung Electronics,15,173957,-2.0,19316.5,217104,16.8,Oh-Hyun Kwon,"Electronics, Electrical Equip.",Technology,13,South Korea,"Suwon, South Korea",http://www.samsung.com,23,325000,154376
Glencore,16,173883,2.0,1379.0,124600,,Ivan Glasenberg,"Mining, Crude-Oil Production",Energy,14,Switzerland,"Baar, Switzerland",http://www.glencore.com,7,93123,44243
Daimler,17,169483,2.2,9428.4,256262,0.9,Dieter Zetsche,Motor Vehicles and Parts,Motor Vehicles & Parts,16,Germany,"Stuttgart, Germany",http://www.daimler.com,23,282488,61116
General Motors,18,166380,9.2,9427.0,221690,-2.7,Mary T. Barra,Motor Vehicles and Parts,Motor Vehicles & Parts,20,USA,"Detroit, MI",http://www.gm.com,23,225000,43836
AT&T,19,163786,11.6,12976.0,403821,-2.8,Randall L. Stephenson,Telecommunications,Telecommunications,23,USA,"Dallas, TX",http://www.att.com,23,268540,123135
EXOR Group,20,154894,1.5,651.3,186172,-21.1,John Elkann,Diversified Financials,Financials,19,Netherlands,"Amsterdam, Netherlands",http://www.exor.com,7,302562,11582
Ford Motor,21,151800,1.5,4596.0,237951,-37.7,James P. Hackett,Motor Vehicles and Parts,Motor Vehicles & Parts,21,USA,"Dearborn, MI",http://www.ford.com,23,201000,29170
Industrial & Commercial Bank of China,22,147675,-11.7,41883.9,3473238,-5.0,Gu Shu,Banks: Commercial and Savings,Financials,15,China,"Beijing, China",http://www.icbc-ltd.com,19,461749,283438
AmerisourceBergen,23,146850,8.0,1427.9,33656,,Steven H. Collis,Wholesalers: Health Care,Wholesalers,28,USA,"Chesterbrook, PA",http://www.amerisourcebergen.com,18,18500,2129
China State Construction Engineering,24,144505,3.1,2492.9,201269,10.7,Guan Qing,"Engineering, Construction",Engineering & Construction,27,China,"Beijing, China",http://www.cscec.com,6,263915,15344
AXA,25,143722,11.2,6446.0,941556,3.5,Thomas Buberl,"Insurance: Life, Health (stock)",Financials,33,France,"Paris, France",http://www.axa.com,23,97707,74454
Amazon.com,26,135987,27.1,2371.0,83402,297.8,Jeffrey P. Bezos,Internet Services and Retailing,Technology,44,USA,"Seattle, WA",http://www.amazon.com,9,341400,19285
Hon Hai Precision Industry,27,135129,-4.3,4608.8,80436,-0.4,Terry Gou,"Electronics, Electrical Equip.",Technology,25,Taiwan,"New Taipei City, Taiwan",http://www.foxconn.com,13,726772,33476
China Construction Bank,28,135093,-8.7,34840.9,3016578,-4.0,Wang Hongzhang,Banks: Commercial and Savings,Financials,22,China,"Beijing, China",http://www.ccb.com,18,362482,226851
Honda Motor,29,129198,6.2,5690.3,170165,98.3,Takahiro Hachigo,Motor Vehicles and Parts,Motor Vehicles & Parts,36,Japan,"Tokyo, Japan",http://www.honda.com,23,211915,65482
Total,30,127925,-10.8,6196.0,230978,21.8,Patrick Pouyanne,Petroleum Refining,Energy,24,France,"Courbevoie, France",http://www.total.com,23,102168,98680
General Electric,31,126661,-9.8,8831.0,365183,,Jeffrey R. Immelt,Industrial Machinery,Industrials,26,USA,"Boston, MA",http://www.ge.com,23,295000,75828
Verizon,32,125980,-4.3,13127.0,244180,-26.6,Lowell C. McAdam,Telecommunications,Telecommunications,30,USA,"New York, NY",http://www.verizon.com,23,160900,22524
Japan Post Holdings,33,122990,3.6,-267.4,2631385,-107.5,Masatsugu Nagato,"Insurance: Life, Health (stock)",Financials,37,Japan,"Tokyo, Japan",http://www.japanpost.jp,21,248384,91532
Allianz,34,122196,-0.6,7611.5,932091,3.7,Oliver Bate,Insurance: Property and Casualty (Stock),Financials,34,Germany,"Munich, Germany",http://www.allianz.com,23,140253,71020
Cardinal Health,35,121546,18.5,1427.0,34122,17.4,George S. Barrett,Wholesalers: Health Care,Wholesalers,50,USA,"Dublin, OH",http://www.cardinalhealth.com,20,37300,6554
Costco,36,118719,2.2,2350.0,33163,-1.1,W. Craig Jelinek,General Merchandisers,Retailing,38,USA,"Issaquah, WA",http://www.costco.com,23,172000,12079
Walgreens Boots Alliance,37,117351,13.4,4173.0,72688,-1.1,Stefano Pessina,Food and Drug Stores,Food & Drug Stores,47,USA,"Deerfield, IL",http://www.walgreensbootsalliance.com,23,300000,29880
Agricultural Bank of China,38,117275,-12.1,27687.8,2816039,-3.6,Zhao Huan,Banks: Commercial and Savings,Financials,29,China,"Beijing, China",http://www.abchina.com,18,501368,189682
Ping An Insurance,39,116581,5.7,9392.0,802490,8.9,Ma Mingzhe,"Insurance: Life, Health (stock)",Financials,41,China,"Shenzhen, China",http://www.pingan.com,8,318588,55177
Kroger,40,115337,5.0,1975.0,36505,-3.1,W. Rodney McMullen,Food and Drug Stores,Food & Drug Stores,42,USA,"Cincinnati, OH",http://www.thekrogerco.com,23,443000,6698
SAIC Motor,41,113861,6.7,4818.2,84989,1.6,Chen Zhixin,Motor Vehicles and Parts,Motor Vehicles & Parts,46,China,"Shanghai, China",http://www.saicmotor.com,6,97582,27617
Bank of China,42,113708,-7.1,24773.4,2611539,-8.9,Chen Siqing,Banks: Commercial and Savings,Financials,35,China,"Beijing, China",http://www.boc.cn,23,308900,203134
BNP Paribas,43,109026,-2.2,8517.2,2190423,14.7,Jean-Laurent Bonnafe,Banks: Commercial and Savings,Financials,39,France,"Paris, France",http://www.bnpparibas.com,23,184839,106164
Nissan Motor,44,108164,6.5,6123.4,165344,40.3,Hiroto Saikawa,Motor Vehicles and Parts,Motor Vehicles & Parts,53,Japan,"Yokohama, Japan",http://www.nissan-global.com,23,137250,50550
Chevron,45,107567,-18.0,-497.0,260078,-110.8,John S. Watson,Petroleum Refining,Energy,31,USA,"San Ramon, CA",http://www.chevron.com,23,55200,145556
Fannie Mae,46,107162,-2.9,12313.0,3287968,12.4,Timothy J. Mayopoulos,Diversified Financials,Financials,40,USA,"Washington, DC",http://www.fanniemae.com,20,7000,6071
China Mobile Communications,47,107117,0.3,9614.3,246446,-5.2,Li Yue,Telecommunications,Telecommunications,45,China,"Beijing, China",http://www.10086.cn,17,463712,130459
J.P. Morgan Chase,48,105486,4.4,24733.0,2490972,1.2,James Dimon,Banks: Commercial and Savings,Financials,55,USA,"New York, NY",http://www.jpmorganchase.com,23,243355,254190
Legal & General Group,49,105235,442.3,1697.9,577954,3.4,Nigel Wilson,"Insurance: Life, Health (stock)",Financials,0,Britain,"London, Britain",http://www.legalandgeneralgroup.com,17,8939,8579
Nippon Telegraph & Telephone,50,105128,9.4,7384.4,190740,20.2,Hiroo Unoura,Telecommunications,Telecommunications,60,Japan,"Tokyo, Japan",http://www.ntt.co.jp,23,274844,81254
China Life Insurance,51,104818,3.5,162.4,483026,-96.1,Yang Mingsheng,"Insurance: Life, Health (stock)",Financials,54,China,"Beijing, China",http://www.chinalife.com.cn,15,143676,14079
BMW Group,52,104130,1.8,7589.4,198835,7.4,Harald Kruger,Motor Vehicles and Parts,Motor Vehicles & Parts,51,Germany,"Munich, Germany",http://www.bmwgroup.com,23,124729,49682
Express Scripts Holding,53,100288,-1.4,3404.4,51745,37.5,Timothy C. Wentworth,Health Care: Pharmacy and Other Services,Health Care,52,USA,"St. Louis, MO",http://www.express-scripts.com,15,25600,16236
Trafigura Group,54,98098,0.9,750.8,41230,-39.3,Jeremy Weir,Trading,Wholesalers,59,Singapore,Singapore,http://www.trafigura.com,3,4107,5548
China Railway Engineering,55,96979,-2.5,924.1,108864,-6.0,Zhang Zongyan,"Engineering, Construction",Engineering & Construction,57,China,"Beijing, China",http://www.crecg.com,3,292215,10806
Prudential,56,96965,53.7,2592.8,581221,-34.2,Michael A. Wells,"Insurance: Life, Health (stock)",Financials,126,Britain,"London, Britain",http://www.prudential.co.uk,22,23673,18117
Assicurazioni Generali,57,95217,-7.2,2301.3,549656,2.2,Philippe R. Donnet,"Insurance: Life, Health (stock)",Financials,49,Italy,"Trieste, Italy",http://www.generali.com,23,73727,25886
China Railway Construction,58,94877,-0.8,1192.4,109968,7.8,Meng Fengchao,"Engineering, Construction",Engineering & Construction,62,China,"Beijing, China",http://www.crcc.cn,6,336872,10146
Home Depot,59,94595,6.9,7957.0,42966,13.5,Craig A. Menear,Specialty Retailers,Retailing,69,USA,"Atlanta, GA",http://www.homedepot.com,23,406000,4333
Boeing,60,94571,-1.6,4895.0,89997,-5.4,Dennis A. Muilenburg,Aerospace and Defense,Aerospace & Defense,61,USA,"Chicago, IL",http://www.boeing.com,23,150540,817
Wells Fargo,61,94176,4.6,21938.0,1930115,-4.2,Timothy J. Sloan,Banks: Commercial and Savings,Financials,67,USA,"San Francisco, CA",http://www.wellsfargo.com,20,269100,199581
Bank of America Corp.,62,93662,0.7,17906.0,2187702,12.7,Brian T. Moynihan,Banks: Commercial and Savings,Financials,64,USA,"Charlotte, NC",http://www.bankofamerica.com,23,208024,266840
Gazprom,63,91382,-8.1,14222.6,277262,10.4,Alexey B. Miller,Energy,Energy,56,Russia,"Moscow, Russia",http://www.gazprom.com,21,467400,181813
Nestle,64,90814,-1.6,8659.2,129824,-8.1,Ulf Mark Schneider,Food Consumer Products,"Food, Beverages & Tobacco",66,Switzerland,"Vevey, Switzerland",http://www.nestle.com,23,328000,63573
Alphabet,65,90272,20.4,19478.0,167497,19.1,Larry Page,Internet Services and Retailing,Technology,94,USA,"Mountain View, CA",http://www.abc.xyz,9,72053,139036
Siemens,66,88419,0.9,6050.5,141271,-27.4,Josef Kaeser,Industrial Machinery,Industrials,71,Germany,"Munich, Germany",http://www.siemens.com,23,351000,38444
Carrefour,67,87112,-0.4,825.0,51513,-24.1,Georges Plassat,Food and Drug Stores,Food & Drug Stores,73,France,"Boulogne-Billancourt, France",http://www.carrefour.com,23,384151,10996
Dongfeng Motor,68,86194,4.1,1415.0,59532,-4.4,Li Shaozhu,Motor Vehicles and Parts,Motor Vehicles & Parts,81,China,"Wuhan, China",http://www.dfmc.com.cn,8,189795,11464
Microsoft,69,85320,-8.8,16798.0,193694,37.8,Satya Nadella,Computer Software,Technology,63,USA,"Redmond, WA",http://www.microsoft.com,20,114000,71997
Anthem,70,84863,7.2,2469.8,65083,-3.5,Joseph R. Swedish,Health Care: Insurance and Managed Care,Health Care,85,USA,"Indianapolis, IN",http://www.antheminc.com,16,53000,25100
Hitachi,71,84558,1.2,2134.3,86742,48.8,Toshiaki Higashihara,"Electronics, Electrical Equip.",Technology,79,Japan,"Tokyo, Japan",http://www.hitachi.com,23,303887,26632
SoftBank Group,72,82892,8.4,13163.4,221113,233.3,Masayoshi Son,Telecommunications,Telecommunications,92,Japan,"Tokyo, Japan",http://www.softbank.jp,10,68402,32191
Banco Santander,73,82801,-2.5,6860.7,1412281,3.7,Jose Antonio Alvarez,Banks: Commercial and Savings,Financials,75,Spain,"Madrid, Spain",http://www.santander.com,23,185606,95906
Citigroup,74,82386,-6.7,14912.0,1792077,-13.5,Michael L. Corbat,Banks: Commercial and Savings,Financials,70,USA,"New York, NY",http://www.citigroup.com,23,219000,225120
Petrobras,75,81405,-16.3,-4838.0,246983,,Pedro Pullen Parente,Petroleum Refining,Energy,58,Brazil,"Rio de Janeiro, Brazil",http://www.petrobras.com.br,23,68829,76779
Robert Bosch,76,80869,3.3,2155.3,86348,-39.1,Volkmar Denner,Motor Vehicles and Parts,Motor Vehicles & Parts,87,Germany,"Stuttgart, Germany",http://www.bosch.com,23,389281,36316
Deutsche Telekom,77,80832,5.3,2958.1,156597,-18.0,Timotheus Hottges,Telecommunications,Telecommunications,90,Germany,"Bonn, Germany",http://www.telekom.com,23,221000,30906
Hyundai Motor,78,80701,-0.8,4659.0,148092,-17.9,Mong-Koo Chung,Motor Vehicles and Parts,Motor Vehicles & Parts,84,South Korea,"Seoul, South Korea",http://worldwide.hyundai.com,22,129315,55639
Comcast,79,80403,7.9,8695.0,180500,6.5,Brian L. Roberts,Telecommunications,Telecommunications,96,USA,"Philadelphia, PA",http://www.comcastcorporation.com,15,159000,53943
Credit Agricole,80,80258,-4.6,3914.7,1607501,0.4,Philippe Brassac,Banks: Commercial and Savings,Financials,77,France,"Paris, France",http://www.credit-agricole.com,23,70830,61460
IBM,81,79919,-3.1,11872.0,117470,-10.0,Virginia M. Rometty,Information Technology Services,Technology,82,USA,"Armonk, NY",http://www.ibm.com,23,414400,18246
Electricite de France,82,78740,-5.4,3152.8,297026,139.4,Jean-Bernard Levy,Utilities,Energy,80,France,"Paris, France",http://www.edf.fr,23,154808,36319
Huawei Investment & Holding,83,78511,24.9,5579.4,63837,-5.0,Ren Zhengfei,Network and Other Communications Equipment,Technology,129,China,"Shenzhen, China",http://www.huawei.com,8,180000,20159
Enel,84,78064,-7.0,2842.0,164096,16.7,Francesco Starace,Utilities,Energy,78,Italy,"Rome, Italy",http://www.enel.com,23,62080,36704
State Farm Insurance Cos.,85,76132,0.6,350.3,256030,-94.4,Michael L. Tipsord,Insurance: Property and Casualty (Mutual),Financials,93,USA,"Bloomington, IL",http://www.statefarm.com,23,68234,87592
China Resources National,86,75776,-1.0,2580.2,158291,3.7,Luo Xi,Pharmaceuticals,Health Care,91,China,"Hong Kong, China",http://www.crc.com.hk,8,420572,23605
AEON,87,75772,11.8,103.9,78223,108.6,Motoya Okada,General Merchandisers,Retailing,111,Japan,"Chiba, Japan",http://www.aeon.info,23,274760,9567
HSBC Holdings,88,75329,-15.4,2479.0,2374986,-81.7,Stuart T. Gulliver,Banks: Commercial and Savings,Financials,68,Britain,"London, Britain",http://www.hsbc.com,23,241000,175386
Pacific Construction Group,89,74629,2.2,3168.1,48196,-1.2,Yan Hao,"Engineering, Construction",Engineering & Construction,99,China,"Nanjing, China",http://www.cpcg.com.cn,4,362128,19835
Aviva,90,74628,105.9,948.8,544063,-32.3,Mark Wilson,"Insurance: Life, Health (stock)",Financials,279,Britain,"London, Britain",http://www.aviva.com,23,29530,21004
Uniper,91,74407,,-3557.5,51541,,Klaus Schafer,Energy,Energy,0,Germany,"Dusseldorf, Germany",http://www.uniper.energy,1,12890,12889
Tesco,92,74393,-15.1,-52.7,57052,-125.3,David J. Lewis,Food and Drug Stores,Food & Drug Stores,72,Britain,"Welwyn Garden City, Britain",http://www.tescoplc.com,23,342770,8011
Engie,93,73692,-4.9,-458.9,167158,,Isabelle Kocher,Energy,Energy,89,France,"Courbevoie, France",http://www.engie.com,22,153090,41740
Airbus Group,94,73628,3.0,1100.3,117204,-63.2,Thomas Enders,Aerospace and Defense,Aerospace & Defense,100,Netherlands,"Leiden, Netherlands",http://www.airbusgroup.com,23,133782,3857
SK Holdings,95,72579,107.4,659.7,85332,-86.0,Tae Won Chey,Petroleum Refining,Energy,294,South Korea,"Seoul, South Korea",http://www.sk.co.kr,2,84000,10858
Phillips 66,96,72396,-16.9,1555.0,51653,-63.2,Greg C. Garland,Petroleum Refining,Energy,74,USA,"Houston, TX",http://www.phillips66.com,5,14800,22390
Johnson & Johnson,97,71890,2.6,16540.0,141208,7.3,Alex Gorsky,Pharmaceuticals,Health Care,103,USA,"New Brunswick, NJ",http://www.jnj.com,17,126400,70418
Procter & Gamble,98,71726,-8.9,10508.0,127136,49.3,David S. Taylor,Household and Personal Products,Household Products,86,USA,"Cincinnati, OH",http://www.pg.com,23,105000,57341
U.S. Postal Service,99,71498,3.7,-5591.0,25219,,Megan J. Brennan,"Mail, Package, and Freight Delivery",Transportation,107,USA,"Washington, DC",http://www.usps.com,23,574349,-55982
China Southern Power Grid,100,71242,-4.6,2329.8,99187,4.8,Li Qingkui,Utilities,Energy,95,China,"Guangzhou, China",http://www.csg.cn,13,302421,38384
China South Industries Group,101,71151,1.5,580.3,51857,-61.0,Xu Liuping,Aerospace and Defense,Aerospace & Defense,102,China,"Beijing, China",http://www.chinasouth.com.cn,8,232817,7508
Lukoil,102,70897,-16.3,3090.6,82179,-35.1,Vagit Y. Alekperov,Petroleum Refining,Energy,76,Russia,"Moscow, Russia",http://www.lukoil.com,18,105500,52783
China Communications Construction,103,70751,4.4,1431.3,146763,-16.2,Liu Qitao,"Engineering, Construction",Engineering & Construction,110,China,"Beijing, China",http://www.ccccltd.cn,10,152666,14824
Groupe BPCE,104,70517,25.5,4410.1,1302721,22.6,Francois Perol,Banks: Commercial and Savings,Financials,155,France,"Paris, France",http://www.groupebpce.fr,8,102827,64820
Sony,105,70170,3.9,676.4,158519,-45.1,Kazuo Hirai,"Electronics, Electrical Equip.",Technology,113,Japan,"Tokyo, Japan",http://www.sony.net,23,128400,22415
Valero Energy,106,70166,-14.2,2289.0,46173,-42.6,Joseph W. Gorder,Petroleum Refining,Energy,83,USA,"San Antonio, TX",http://www.valero.com,17,9996,20024
Target,107,69495,-5.8,2737.0,37431,-18.6,Brian C. Cornell,General Merchandisers,Retailing,97,USA,"Minneapolis, MN",http://www.target.com,23,323000,10953
Societe Generale,108,69335,-1.1,4284.0,1457753,-3.5,Frederic Oudea,Banks: Commercial and Savings,Financials,43,France,"Paris, France",http://www.societegenerale.com,21,151341,65338
Munich Re Group,109,68700,-1.1,2853.1,282435,-17.2,Joachim Wenning,Insurance: Property and Casualty (Stock),Financials,106,Germany,"Munich, Germany",http://www.munichre.com,23,43428,33238
Panasonic,110,67775,6.7,1378.4,53702,0.2,Kazuhiro Tsuga,"Electronics, Electrical Equip.",Technology,128,Japan,"Osaka, Japan",http://www.panasonic.com/global,23,257533,14109
Nippon Life Insurance,111,67388,0.4,2786.9,650429,-17.1,Yoshinobu Tsutsui,"Insurance: Life, Health (Mutual)",Financials,114,Japan,"Osaka, Japan",http://www.nissay.co.jp,23,85171,17261
Zurich Insurance Group,112,67245,11.0,3211.0,382679,74.3,Mario Greco,Insurance: Property and Casualty (Stock),Financials,141,Switzerland,"Zurich, Switzerland",http://www.zurich.com,23,52473,30660
Itau Unibanco Holding,113,66876,21.4,6666.4,415972,-13.7,Candido Botelho Bracher,Banks: Commercial and Savings,Financials,159,Brazil,"Sao Paulo, Brazil",http://www.itau.com.br,4,94779,37680
People’s Insurance Co. of China,114,66732,3.3,2144.3,134132,-31.0,Wu Yan,Insurance: Property and Casualty (Stock),Financials,119,China,"Beijing, China",http://www.picc.com.cn,8,188570,18145
China National Offshore Oil,115,65892,-2.8,1752.4,166595,-62.0,Yang Hua,"Mining, Crude-Oil Production",Energy,109,China,"Beijing, China",http://www.cnooc.com.cn,11,100821,70827
Marubeni,116,65792,8.2,1433.7,61904,176.4,Fumiya Kokubu,Trading,Wholesalers,138,Japan,"Tokyo, Japan",http://www.marubeni.com,23,39952,15113
Deutsche Post DHL Group,117,65787,-3.8,2918.3,40387,70.8,Frank Appel,"Mail, Package, and Freight Delivery",Transportation,108,Germany,"Bonn, Germany",http://www.dpdhl.com,23,459262,11693
Freddie Mac,118,65665,3.4,7815.0,2023376,22.6,Donald H. Layton,Diversified Financials,Financials,124,USA,"McLean, VA",http://www.freddiemac.com,21,5982,5075
China Post Group,119,65605,-5.8,4980.3,1221649,18.7,Li Guohua,"Mail, Package, and Freight Delivery",Transportation,105,China,"Beijing, China",http://www.chinapost.com.cn,7,941211,43114
China Minmetals,120,65547,105.6,-446.7,109334,,He Wenbo,Metals,Materials,323,China,"Beijing, China",http://www.minmetals.com,11,212406,4631
Lloyds Banking Group,121,65208,38.2,2784.4,1010245,111.9,Antonio Horta-Osorio,Banks: Commercial and Savings,Financials,193,Britain,"London, Britain",http://www.lloydsbankinggroup.com,23,70433,59327
Lowe’s,122,65017,10.1,3093.0,34408,21.5,Robert A. Niblock,Specialty Retailers,Retailing,148,USA,"Mooresville, NC",http://www.lowes.com,20,240000,6434
Metro,123,64853,-9.0,665.0,28039,-13.6,Olaf Koch,Food and Drug Stores,Food & Drug Stores,101,Germany,"Dusseldorf, Germany",http://www.metrogroup.de,22,196540,5978
Dell Technologies,124,64806,18.1,-1672.0,118206,,Michael S. Dell,"Computers, Office Equipment",Technology,0,USA,"Round Rock, TX",http://www.delltechnologies.com,17,138000,13243
China FAW Group,125,64784,3.1,2411.3,54772,-25.9,Xu Ping,Motor Vehicles and Parts,Motor Vehicles & Parts,130,China,"Changchun, China",http://www.faw.com.,13,122323,24489
BASF,126,63641,-18.6,4485.3,80675,1.4,Kurt W. Bock,Chemicals,Chemicals,88,Germany,"Ludwigshafen, Germany",http://www.basf.com,23,109543,33545
JXTG Holdings,127,63629,1.8,1477.3,59767,,Yukio Uchida,Petroleum Refining,Energy,131,Japan,"Tokyo, Japan",http://www.hd.jxtg-group.co.jp,23,26247,12829
MetLife,128,63476,-9.3,800.0,898764,-84.9,Steven A. Kandarian,"Insurance: Life, Health (stock)",Financials,104,USA,"New York, NY",http://www.metlife.com,23,58000,67309
Tewoo Group,129,63324,-1.4,141.7,34713,-11.6,Wang Yuzhu,Trading,Wholesalers,122,China,"Tianjin, China",http://www.tewoo.com,6,17353,3465
Aetna,130,63155,4.7,2271.0,69146,-5.0,Mark T. Bertolini,Health Care: Insurance and Managed Care,Health Care,142,USA,"Hartford, CT",http://www.aetna.com,17,49500,17881
PepsiCo,131,62799,-0.4,6329.0,74129,16.1,Indra K. Nooyi,Food Consumer Products,"Food, Beverages & Tobacco",127,USA,"Purchase, NY",http://www.pepsico.com,23,264000,11095
ENI,132,62694,-32.6,-1619.0,131349,,Claudio Descalzi,Petroleum Refining,Energy,65,Italy,"Rome, Italy",http://www.eni.com,23,33536,55934
China Telecommunications,133,62387,1.0,1764.6,115819,2.9,Yang Jie,Telecommunications,Telecommunications,132,China,"Beijing, China",http://www.chinatelecom.com.cn,18,413536,50919
Archer Daniels Midland,134,62346,-7.9,1279.0,39769,-30.8,Juan R. Luciano,Food Production,"Food, Beverages & Tobacco",112,USA,"Chicago, IL",http://www.adm.com,23,31800,17173
China North Industries Group,135,61326,-0.5,853.0,53140,6.2,Yin Jiaxu,Aerospace and Defense,Aerospace & Defense,134,China,"Beijing, China",http://www.norincogroup.com.cn,8,234771,13401
COFCO,136,61265,-5.0,204.5,72072,-23.0,Yu Xubo,Trading,Wholesalers,121,China,"Beijing, China",http://www.cofco.com,23,101708,11029
Beijing Automotive Group,137,61130,11.3,1260.6,57783,14.9,Xu Heyi,Motor Vehicles and Parts,Motor Vehicles & Parts,160,China,"Beijing, China",http://www.baicgroup.com.cn,5,134765,8037
UPS,138,60906,4.4,3431.0,40377,-29.2,David P. Abney,"Mail, Package, and Freight Delivery",Transportation,149,USA,"Atlanta, GA",http://www.ups.com,23,335520,405
Anbang Insurance Group,139,60800,124.0,3883.9,430040,0.9,Wu Xiaohui,"Insurance: Life, Health (Mutual)",Financials,0,China,"Beijing, China",http://www.anbanggroup.com,1,40707,20372
Peugeot,140,59749,-1.5,1913.1,47620,91.8,Carlos Tavares,Motor Vehicles and Parts,Motor Vehicles & Parts,140,France,"Paris, France",http://www.groupe-psa.com,23,175341,13348
Albertsons Cos.,141,59678,1.6,-373.3,23755,,Robert G. Miller,Food and Drug Stores,Food & Drug Stores,0,USA,"Boise, ID",http://www.albertsons.com,13,273000,1371
Dai-ichi Life Holdings,142,59590,-2.5,2134.5,466617,43.5,Seiji Inagaki,"Insurance: Life, Health (stock)",Financials,135,Japan,"Tokyo, Japan",http://www.dai-ichi-life-hd.com,23,62606,11675
Sinochem Group,143,59533,-1.9,468.0,57484,,Ning Gaoning,Trading,Wholesalers,139,China,"Beijing, China",http://www.sinochem.com,22,60576,9195
Intel,144,59387,7.3,10316.0,113327,-9.7,Brian M. Krzanich,Semiconductors and Other Electronic Components,Technology,158,USA,"Santa Clara, CA",http://www.intel.com,23,106000,66226
Mitsubishi,145,59303,2.8,4063.5,141402,,Takehiko Kakiuchi,Trading,Wholesalers,151,Japan,"Tokyo, Japan",http://www.mitsubishicorp.com,23,77164,44137
Auchan Holding,146,58862,-2.2,652.4,38537,13.5,Wilhelm Hubner,Food and Drug Stores,Food & Drug Stores,144,France,"Croix, France",http://www.auchanholding.com,21,342709,10593
Aegon,147,58789,50.5,483.3,448666,-38.7,Alexander R. Wynaendts,"Insurance: Life, Health (stock)",Financials,253,Netherlands,"The Hague, Netherlands",http://www.aegon.com,22,29380,25647
Prudential Financial,148,58779,2.9,4368.0,783962,-22.6,John R. Strangfeld,"Insurance: Life, Health (stock)",Financials,152,USA,"Newark, NJ",http://www.prudential.com,23,49739,45863
Vodafone Group,149,58611,-5.0,-6904.0,165420,,Vittorio Colao,Telecommunications,Telecommunications,133,Britain,"Newbury, Britain",http://www.vodafone.com,18,111556,77211
Unilever,150,58292,-1.4,5732.7,59512,5.3,Paul Polman,Household and Personal Products,Household Products,147,Britain,"London, Britain",http://www.unilever.com,23,168832,17247
Banco do Brasil,151,58093,-13.4,2013.8,426416,-52.3,Paulo Rogerio Caffarelli,Banks: Commercial and Savings,Financials,115,Brazil,"Brasilia, Brazil",http://www.bb.com.br,23,100622,26551
Pemex,152,57774,-21.4,-10256.3,113115,,Jose Antonio Gonzalez Anaya,"Mining, Crude-Oil Production",Energy,98,Mexico,"Mexico City, Mexico",http://www.pemex.com,23,125689,-59909
Telefonica,153,57544,-5.5,2619.7,130396,283.4,Jose Maria Alvarez-Pallete Lopez,Telecommunications,Telecommunications,137,Spain,"Madrid, Spain",http://www.telefonica.com,23,127323,19149
Banco Bradesco,154,57443,31.3,5127.9,366418,-5.7,Luiz Carlos Trabuco Cappi,Banks: Commercial and Savings,Financials,209,Brazil,"Osasco, Brazil",http://www.bradesco.com.br,21,94541,32369
United Technologies,155,57244,-6.2,5055.0,89706,-33.6,Gregory J. Hayes,Aerospace and Defense,Aerospace & Defense,136,USA,"Farmington, CT",http://www.utc.com,23,201600,27579
ArcelorMittal,156,56791,-10.7,1779.0,75142,,Lakshmi N. Mittal,Metals,Materials,123,Luxembourg,"Luxembourg, Luxembourg",http://www.arcelormittal.com,13,198517,30135
Renault,157,56667,12.7,3780.9,107681,20.7,Carlos Ghosn,Motor Vehicles and Parts,Motor Vehicles & Parts,178,France,"Boulogne-Billancourt, France",http://www.groupe.renault.com,23,124849,32423
Rosneft Oil,158,56553,-12.7,2705.1,180756,-53.4,Igor I. Sechin,Petroleum Refining,Energy,118,Russia,"Moscow, Russia",http://www.rosneft.com,12,295800,54227
Shandong Weiqiao Pioneering Group,159,56174,5.9,1217.2,31641,8.6,Zhang Shiping,Textiles,Industrials,163,China,"Shandong, China",http://www.weiqiaocy.com,6,135393,9438
Marathon Petroleum,160,55858,-13.5,1174.0,44413,-58.8,Gary R. Heminger,Petroleum Refining,Energy,120,USA,"Findlay, OH",http://www.marathonpetroleum.com,6,44460,13557
Disney,161,55632,6.0,9391.0,92033,12.0,Robert A. Iger,Entertainment,Media,164,USA,"Burbank, CA",http://www.disney.com,23,195000,43265
Aviation Industry Corp. of China,162,55306,-8.2,464.2,124892,-47.4,Tan Ruisong,Aerospace and Defense,Aerospace & Defense,143,China,"Beijing, China",http://www.avic.com,9,457097,24345
ING Group,163,55282,-16.5,5501.6,888226,0.7,Ralph Hamers,Banks: Commercial and Savings,Financials,117,Netherlands,"Amsterdam, Netherlands",http://www.ing.com,23,51943,49839
Mitsubishi UFJ Financial Group,164,55185,15.9,8550.1,2722354,7.9,Nobuyuki Hirano,Banks: Commercial and Savings,Financials,191,Japan,"Tokyo, Japan",http://www.mufg.jp,16,115276,110573
Royal Ahold Delhaize,165,54955,29.7,917.9,38257,-2.9,Dick Boer,Food and Drug Stores,Food & Drug Stores,222,Netherlands,"Zaandam, Netherlands",http://www.aholddelhaize.com,23,225000,17165
Humana,166,54379,0.2,614.0,25396,-51.9,Bruce D. Broussard,Health Care: Insurance and Managed Care,Health Care,162,USA,"Louisville, KY",http://www.humana.com,19,51600,10685
Seven & I Holdings,167,53858,7.5,892.9,49244,-33.0,Ryuichi Isaka,Food and Drug Stores,Food & Drug Stores,179,Japan,"Tokyo, Japan",http://www.7andi.com,12,54712,20086
Indian Oil,168,53562,-2.1,2960.0,42132,72.7,Sanjiv Singh,Petroleum Refining,Energy,161,India,"New Delhi, India",http://www.iocl.com,23,34999,15724
Roche Group,169,53427,2.0,9719.9,75609,5.5,Severin Schwan,Pharmaceuticals,Health Care,167,Switzerland,"Basel, Switzerland",http://www.roche.com,23,94052,23534
HNA Group,170,53035,79.4,278.9,173095,18.7,Tan Xiangdong,Airlines,Transportation,353,China,"Haikou City, China",http://www.hnagroup.com,3,220258,14096
Bank of Communications,171,52990,-7.1,10116.9,1209176,-4.4,Niu Ximing,Banks: Commercial and Savings,Financials,153,China,"Shanghai, China",http://www.bankcomm.com,9,95160,90531
CITIC Group,172,52852,-5.5,3236.3,938261,-14.0,Chang Zhenming,Diversified Financials,Financials,156,China,"Beijing, China",http://www.citicgroup.com.cn,9,201263,41784
Pfizer,173,52824,8.1,7215.0,171615,3.7,Ian C. Read,Pharmaceuticals,Health Care,186,USA,"New York, NY",http://www.pfizer.com,23,96500,59544
Bayer,174,52569,0.3,5010.6,86731,9.9,Werner Baumann,Pharmaceuticals,Health Care,165,Germany,"Leverkusen, Germany",http://www.bayer.com,23,115170,31990
AIG,175,52367,-10.2,-849.0,498264,-138.7,Brian Duperreault,Insurance: Property and Casualty (Stock),Financials,150,USA,"New York, NY",http://www.aig.com,22,56400,76300
America Movil,176,52201,-7.4,462.9,73555,-79.0,Daniel Hajj Aboumrad,Telecommunications,Telecommunications,154,Mexico,"Mexico City, Mexico",http://www.americamovil.com,11,194193,10143
Korea Electric Power,177,51500,-0.6,6074.1,147265,-48.3,Hwan-Eik Cho,Utilities,Energy,172,South Korea,"Jeollanam-do, South Korea",http://www.kepco.co.kr,23,43688,59394
Lockheed Martin,178,50658,9.8,5302.0,47806,47.1,Marillyn A. Hewson,Aerospace and Defense,Aerospace & Defense,197,USA,"Bethesda, MD",http://www.lockheedmartin.com,23,97000,1511
Sysco,179,50367,3.5,949.6,16722,38.3,William J. DeLaney III,Wholesalers: Food and Grocery,Wholesalers,188,USA,"Houston, TX",http://www.sysco.com,23,51900,3480
FedEx,180,50365,6.1,1820.0,46064,73.3,Frederick W. Smith,"Mail, Package, and Freight Delivery",Transportation,192,USA,"Memphis, TN",http://www.fedex.com,23,335767,13784
Hewlett Packard Enterprise,181,50123,,3161.0,79679,,Margaret C. Whitman,Information Technology Services,Technology,0,USA,"Palo Alto, CA",http://www.hpe.com,1,195000,31448
Louis Dreyfus Company,182,49838,-10.6,305.0,19843,44.5,Gonzalo Ramirez Martiarena,Food Production,"Food, Beverages & Tobacco",157,Netherlands,"Rotterdam, Netherlands",http://www.ldc.com,4,17407,5115
Amer International Group,183,49677,3.9,1199.9,18405,5.2,Wang Wenyin,"Electronics, Electrical Equip.",Technology,190,China,"Shenzhen, China",http://www.amer.com.cn,5,17852,10005
Petronas,184,49479,-22.0,4092.9,134528,21.4,Wan Zulkiflee Wan Ariffin,Petroleum Refining,Energy,125,Malaysia,"Kuala Lumpur, Malaysia",http://www.petronas.com.my,21,51034,84800
Tokyo Electric Power,185,49446,-2.2,1225.7,110202,4.5,Naomi Hirose,Utilities,Energy,177,Japan,"Tokyo, Japan",http://www.tepco.co.jp,23,42060,20905
Novartis,186,49436,-3.1,6712.0,130124,-62.3,Joseph Jimenez,Pharmaceuticals,Health Care,175,Switzerland,"Basel, Switzerland",http://www.novartis.com,23,118393,74832
Cisco Systems,187,49247,0.2,10739.0,121652,19.6,Charles H. Robbins,Network and Other Communications Equipment,Technology,183,USA,"San Jose, CA",http://www.cisco.com,18,73700,63586
MS&AD Insurance Group Holdings,188,49239,17.9,1942.2,190596,28.5,Yasuyoshi Karasawa,Insurance: Property and Casualty (Stock),Financials,231,Japan,"Tokyo, Japan",http://www.ms-ad-hd.com,19,40641,12793
Deutsche Bank,189,48876,-6.8,-1550.4,1677437,,John Cryan,Banks: Commercial and Savings,Financials,166,Germany,"Frankfurt, Germany",http://www.db.com,23,99744,63102
PowerChina,190,48869,7.2,1057.6,86687,-9.6,Yan Zhiyong,"Engineering, Construction",Engineering & Construction,200,China,"Beijing, China",http://www.powerchina.cn,6,187813,9990
JBS,191,48825,-0.1,107.7,31605,-92.3,Wesley Mendonca Batista,Food Production,"Food, Beverages & Tobacco",185,Brazil,"Sao Paulo, Brazil",http://jbss.infoinvest.com.br,8,237061,7307
PTT,192,48719,-17.7,2681.6,62349,360.6,Tevin Vongvanich,Petroleum Refining,Energy,146,Thailand,"Bangkok, Thailand",http://www.pttplc.com,14,24934,21309
Tokio Marine Holdings,193,48292,26.6,2527.4,202923,19.2,Tsuyoshi Nagano,Insurance: Property and Casualty (Stock),Financials,261,Japan,"Tokyo, Japan",http://www.tokiomarinehd.com,23,38842,16474
HP,194,48238,-53.3,2496.0,29010,-45.2,Dion J. Weisler,"Computers, Office Equipment",Technology,48,USA,"Palo Alto, CA",http://www.hp.com,23,49000,-3889
RWE,195,48204,-6.6,-6249.1,80576,,Rolf Martin Schmitz,Utilities,Energy,174,Germany,"Essen, Germany",http://www.rwe.com,23,58652,3898
Dow Chemical,196,48158,-1.3,4318.0,79511,-43.8,Andrew N. Liveris,Chemicals,Chemicals,187,USA,"Midland, MI",http://www.dow.com,23,56000,25987
Finatis,197,48154,-7.3,687.8,46270,,Didier Leveque,Food and Drug Stores,Food & Drug Stores,170,France,"Paris, France",http://www.finatis.fr,3,232503,744
Wesfarmers,198,48003,-7.6,296.1,30358,-85.4,Richard J.B. Goyder,Food and Drug Stores,Food & Drug Stores,171,Australia,"Perth, Australia",http://www.wesfarmers.com.au,9,220000,17083
Sinopharm,199,47810,7.9,504.0,36767,13.7,She Lulin,Pharmaceuticals,Health Care,205,China,"Beijing, China",http://www.sinopharm.com,5,106772,5658
CNP Assurances,200,47804,-3.0,1327.3,442027,5.8,Frederic Lavenir,"Insurance: Life, Health (stock)",Financials,182,France,"Paris, France",http://www.cnp.fr,23,5035,18491
LG Electronics,201,47712,-4.6,66.2,31348,-39.8,Seong-Jin Jo,"Electronics, Electrical Equip.",Technology,180,South Korea,"Seoul, South Korea",http://www.lg.com,17,75000,9926
Sumitomo Mitsui Financial Group,202,47375,19.2,6520.5,1775349,21.0,Takeshi Kunibe,Banks: Commercial and Savings,Financials,243,Japan,"Tokyo, Japan",http://www.smfg.co.jp,23,77205,72876
Reliance Industries,203,46931,8.0,4458.9,108856,5.6,Mukesh D. Ambani,Petroleum Refining,Energy,215,India,"Mumbai, India",http://www.ril.com,14,140483,40614
China Baowu Steel Group,204,46606,-11.5,442.8,106725,,Ma Guoqiang,Metals,Materials,275,China,"Shanghai, China",http://www.baowugroup.com,14,169344,35728
Noble Group,205,46528,-30.3,8.7,12285,,William J. Randall,Trading,Wholesalers,116,China,"Hong Kong, China",http://www.thisisnoble.com,10,1000,3974
Anheuser-Busch InBev,206,45905,5.3,1241.0,258381,-85.0,Carlos Brito,Beverages,"Food, Beverages & Tobacco",211,Belgium,"Leuven, Belgium",http://www.ab-inbev.com,12,206633,71339
Statoil,207,45873,-23.4,-2902.0,104530,,Eldar Saetre,Petroleum Refining,Energy,145,Norway,"Stavanger, Norway",http://www.statoil.com,23,20539,35072
POSCO,208,45621,-11.8,1167.5,66361,669.8,Oh-Joon Kwon,Metals,Materials,173,South Korea,"Seoul, South Korea",http://www.posco.com,23,31768,35057
Kia Motors,209,45425,3.7,2373.8,42141,2.0,Hyoung-Keun Lee,Motor Vehicles and Parts,Motor Vehicles & Parts,208,South Korea,"Seoul, South Korea",http://www.kia.com,6,51357,22010
Orange,210,45249,1.3,3245.7,99840,10.3,Stephane Richard,Telecommunications,Telecommunications,204,France,"Paris, France",http://www.orange.com,23,155202,32365
ChemChina,211,45177,9.1,17.9,54341,,Ren Jianxin,Chemicals,Chemicals,234,China,"Beijing, China",http://www.chemchina.com,7,110614,3462
Deutsche Bahn,212,44850,0.1,768.6,59716,,Richard Lutz,Railroads,Transportation,203,Germany,"Berlin, Germany",http://www.deutschebahn.com,23,306368,13246
Continental,213,44842,3.0,3099.1,38151,2.4,Elmar Degenhart,Motor Vehicles and Parts,Motor Vehicles & Parts,213,Germany,"Hanover, Germany",http://www.continental-corporation.com,15,220137,15050
HCA Holdings,214,44747,2.7,2890.0,33758,35.7,R. Milton Johnson,Health Care: Medical Facilities,Health Care,212,USA,"Nashville, TN",http://www.hcahealthcare.com,23,210500,-7302
Itochu,215,44654,5.5,3250.6,72902,62.3,Masahiro Okafuji,Trading,Wholesalers,223,Japan,"Osaka, Japan",http://www.itochu.co.jp,23,110207,21559
China Merchants Bank,216,44552,-8.1,9344.8,855070,1.8,Tian Huiyu,Banks: Commercial and Savings,Financials,189,China,"Shenzhen, China",http://www.cmbchina.com,6,70461,57896
State Bank of India,217,44533,6.8,36.0,530590,-98.1,Arundhati Bhattacharya,Banks: Commercial and Savings,Financials,232,India,"Mumbai, India",http://www.sbi.co.in,12,278872,33450
Woolworths,218,43925,-13.2,-898.3,17495,-150.3,Brad Banducci,Food and Drug Stores,Food & Drug Stores,176,Australia,"Bella Vista, Australia",http://www.woolworthslimited.com.au,21,205000,6305
KDDI,219,43822,17.8,5045.1,56223,22.5,Takashi Tanaka,Telecommunications,Telecommunications,271,Japan,"Tokyo, Japan",http://www.kddi.com,20,35032,31904
Swiss Re,220,43786,22.6,3558.0,215065,-22.6,Christian Mumenthaler,Insurance: Property and Casualty (Stock),Financials,282,Switzerland,"Zurich, Switzerland",http://www.swissre.com,23,14053,35634
HBIS Group,221,43769,-3.3,-146.8,51858,,Yu Yong,Metals,Materials,201,China,"Shijiazhuang, China",http://www.hbisco.com,9,125552,7693
CEFC China Energy,222,43743,4.5,740.9,22578,22.8,Chan Chauto,Energy,Energy,229,China,"Shanghai, China",http://www.cefc.co,4,29637,3916
Banco Bilbao Vizcaya Argentaria,223,43698,1.7,3842.8,771837,31.1,Carlos Torres Vila,Banks: Commercial and Savings,Financials,219,Spain,"Bilbao, Spain",http://www.bbva.com,23,134792,49952
ThyssenKrupp,224,43589,-11.0,328.6,39411,-7.1,Heinrich Hiesinger,Metals,Materials,184,Germany,"Essen, Germany",http://www.thyssenkrupp.com,23,156487,2362
Saint-Gobain,225,43231,-6.4,1449.8,46158,0.9,Pierre-Andre de Chalendar,"Building Materials, Glass",Materials,196,France,"Courbevoie, France",http://www.saint-gobain.com,23,172696,19790
Lenovo Group,226,43035,-4.2,535.1,27186,,Yang Yuanqing,"Computers, Office Equipment",Technology,202,China,"Hong Kong, China",http://www.lenovo.com,8,52000,3224
Vinci,227,42771,-1.9,2770.1,71642,22.1,Xavier Huillard,"Engineering, Construction",Engineering & Construction,210,France,"Rueil-Malmaison, France",http://www.vinci.com,17,183487,17365
Nippon Steel & Sumitomo Metal,228,42757,4.6,1208.5,65182,-0.2,Kosei Shindo,Metals,Materials,238,Japan,"Tokyo, Japan",http://www.nssmc.com,23,100169,23555
Bunge,229,42679,-1.8,745.0,19188,-5.8,Soren W. Schroder,Food Production,"Food, Beverages & Tobacco",214,USA,"White Plains, NY",http://www.bunge.com,15,32000,7144
Industrial Bank,230,42622,-8.2,8105.9,875731,1.5,Tao Yiping,Banks: Commercial and Savings,Financials,195,China,"Fuzhou, China",http://www.cib.com.cn,5,56236,50382
E.ON,231,42213,-67.3,-9344.4,67179,,Johannes Teyssen,Energy,Energy,32,Germany,"Essen, Germany",http://www.eon.com,23,43138,-1113
Sberbank,232,42159,-7.6,8078.0,415730,121.0,Herman O. Gref,Banks: Commercial and Savings,Financials,199,Russia,"Moscow, Russia",http://www.sberbank.ru,10,325075,46182
China Shipbuilding Industry,233,42149,17.0,485.8,69621,-62.9,Hu Wenming,Industrial Machinery,Industrials,281,China,"Beijing, China",http://www.csic.com.cn,7,182129,17789
Christian Dior,234,42113,0.5,1740.3,69870,-38.7,Sidney Toledano,Apparel,Apparel,228,France,"Paris, France",http://www.dior-finance.com,17,120479,12293
Coca-Cola,235,41863,-5.5,6527.0,87270,-11.2,James B. Quincey,Beverages,"Food, Beverages & Tobacco",206,USA,"Atlanta, GA",http://www.coca-colacompany.com,23,100300,23062
Denso,236,41781,10.9,2377.6,46233,16.9,Koji Arima,Motor Vehicles and Parts,Motor Vehicles & Parts,268,Japan,"Kariya, Japan",http://www.denso.com,23,154493,29735
Fujitsu,237,41620,5.4,816.7,28646,13.0,Tatsuya Tanaka,Information Technology Services,Technology,248,Japan,"Tokyo, Japan",http://www.fujitsu.com,23,155069,7910
Guangzhou Automobile Industry Group,238,41560,20.7,551.9,30267,10.8,Zeng Qinghong,Motor Vehicles and Parts,Motor Vehicles & Parts,303,China,"Guangzhou, China",http://www.gagc.com.cn,5,75908,3791
Wilmar International,239,41402,6.8,972.2,37032,-7.9,Kuok Khoon Hong,Food Production,"Food, Beverages & Tobacco",254,Singapore,Singapore,http://www.wilmar-international.com,9,90000,14435
Sanofi,240,41376,-0.2,5207.4,110390,9.5,Olivier Brandicourt,Pharmaceuticals,Health Care,233,France,"Paris, France",http://www.sanofi.com,13,113816,60698
China United Network Communications,241,41274,-6.4,23.2,88626,-95.8,Wang Xiaochu,Telecommunications,Telecommunications,207,China,"Beijing, China",http://www.chinaunicom-a.com,9,253724,11152
Sumitomo Life Insurance,242,40921,31.6,517.5,308346,-6.1,Masahiro Hashimoto,"Insurance: Life, Health (Mutual)",Financials,335,Japan,"Osaka, Japan",http://www.sumitomolife.co.jp,23,42245,8491
New York Life Insurance,243,40787,-11.1,1088.1,287196,324.1,Theodore A. Mathas,"Insurance: Life, Health (Mutual)",Financials,198,USA,"New York, NY",http://www.newyorklife.com,23,11320,20108
Centene,244,40721,78.6,562.0,20197,58.3,Michael F. Neidorff,Health Care: Insurance and Managed Care,Health Care,470,USA,"St. Louis, MO",http://www.centene.com,2,30500,5895
Shanghai Pudong Development Bank,245,40689,-3.2,7992.8,842832,-0.7,Gao Guofu,Banks: Commercial and Savings,Financials,227,China,"Shanghai, China",http://www.spdb.com.cn,5,52832,52946
Hanwha,246,40606,11.0,423.7,128247,,Tae-Jong Lee,"Insurance: Life, Health (stock)",Financials,277,South Korea,"Seoul, South Korea",http://www.hanwhacorp.co.kr,12,49000,3650
Tata Motors,247,40329,-4.2,1111.6,42162,-34.0,Guenter Butschek,Motor Vehicles and Parts,Motor Vehicles & Parts,226,India,"Mumbai, India",http://www.tatamotors.com,8,79558,8942
Aluminum Corp. of China,248,40278,6.0,-282.5,75089,,Yu Dehui,Metals,Materials,262,China,"Beijing, China",http://www.chalco.com.cn,10,121146,2669
Mitsui,249,40275,1.6,2825.3,103231,,Tatsuo Yasunaga,Trading,Wholesalers,245,Japan,"Tokyo, Japan",http://www.mitsui.com,23,42316,33500
Manulife Financial,250,40238,49.4,2209.7,537461,28.9,Donald A. Guloien,"Insurance: Life, Health (stock)",Financials,394,Canada,"Toronto, Ontario, Canada",http://www.manulife.com,15,34500,31197
China Minsheng Banking,251,40234,-5.2,7201.6,848389,-1.8,Zheng Wanchun,Banks: Commercial and Savings,Financials,221,China,"Beijing, China",http://www.cmbc.com.cn,5,58720,49297
China Pacific Insurance (Group),252,40193,2.2,1814.9,146873,-35.7,Huo Lianhong,"Insurance: Life, Health (stock)",Financials,251,China,"Shanghai, China",http://www.cpic.com.cn,7,97032,18960
American Airlines Group,253,40180,-2.0,2676.0,51274,-64.8,W. Douglas Parker,Airlines,Transportation,236,USA,"Fort Worth, TX",http://www.aa.com,23,122300,3785
Nationwide,254,40074,-0.4,334.3,197790,-42.4,Stephen S. Rasmussen,Insurance: Property and Casualty (Mutual),Financials,241,USA,"Columbus, OH",http://www.nationwide.com,23,34320,15537
Merck,255,39807,0.8,3920.0,95377,-11.8,Kenneth C. Frazier,Pharmaceuticals,Health Care,246,USA,"Kenilworth, NJ",http://www.merck.com,23,68000,40088
Cigna,256,39668,4.7,1867.0,59360,-10.8,David M. Cordani,Health Care: Insurance and Managed Care,Health Care,264,USA,"Bloomfield, CT",http://www.cigna.com,22,41000,13723
Delta Air Lines,257,39639,-2.6,4373.0,51261,-3.4,Edward H. Bastian,Airlines,Transportation,239,USA,"Atlanta, GA",http://www.delta.com,23,83756,12287
Best Buy,258,39403,-0.9,1228.0,13856,36.9,Hubert B. Joly,Specialty Retailers,Retailing,244,USA,"Richfield, MN",http://www.bestbuy.com,19,125000,4709
China National Building Material Group,259,39323,24.0,74.5,81224,,Song Zhiping,"Building Materials, Glass",Materials,327,China,"Beijing, China",http://www.cnbm.com.cn,7,228448,5822
Honeywell International,260,39302,1.9,4809.0,54146,0.9,Darius Adamczyk,"Electronics, Electrical Equip.",Technology,256,USA,"Morris Plains, NJ",http://www.honeywell.com,23,131000,19369
JD.com,261,39155,35.7,-573.0,23077,,Richard Qiangdong Liu,Internet Services and Retailing,Technology,366,China,"Beijing, China",http://www.jd.com,2,120622,4877
Mitsubishi Electric,262,39119,6.9,1942.6,37519,2.1,Masaki Sakuyama,"Electronics, Electrical Equip.",Technology,276,Japan,"Tokyo, Japan",http://www.mitsubishielectric.com,23,138700,18307
ZF Friedrichshafen,263,38888,20.2,949.9,30719,-12.1,Stefan Sommer,Motor Vehicles and Parts,Motor Vehicles & Parts,320,Germany,"Friedrichshafen, Germany",http://www.zf.com,4,136820,6134
Caterpillar,264,38537,-18.0,-67.0,74704,-103.2,D. James Umpleby III,Construction and Farm Machinery,Industrials,194,USA,"Peoria, IL",http://www.caterpillar.com,23,95400,13137
Liberty Mutual Insurance Group,265,38308,-2.9,1006.0,125592,95.7,David H. Long,Insurance: Property and Casualty (Stock),Financials,249,USA,"Boston, MA",http://www.libertymutual.com,23,50000,20366
Power Corp. of Canada,266,38286,27.9,855.5,315387,-40.5,Paul Desmarais Jr.,"Insurance: Life, Health (stock)",Financials,351,Canada,"Montreal, Quebec, Canada",http://www.powercorporation.com,19,30259,10339
Morgan Stanley,267,37949,0.1,5979.0,814949,-2.4,James P. Gorman,Banks: Commercial and Savings,Financials,263,USA,"New York, NY",http://www.morganstanley.com,20,55311,76050
Hengli Group,268,37880,12.2,821.7,14838,43.7,Chen Jianhua,Textiles,Industrials,0,China,"Suzhou City, China",http://www.hengli.com,1,61400,5498
SSE,269,37813,-12.7,2082.9,29899,200.3,Alistair Phillips-Davies,Utilities,Energy,216,Britain,"Perth, Britain",http://www.sse.com,12,21157,7842
Massachusetts Mutual Life Insurance,270,37788,-1.2,1273.5,271040,-10.6,Roger W. Crandall,"Insurance: Life, Health (Mutual)",Financials,258,USA,"Springfield, MA",http://www.massmutual.com,21,11737,15424
Goldman Sachs Group,271,37712,-3.8,7398.0,860165,21.6,Lloyd C. Blankfein,Banks: Commercial and Savings,Financials,252,USA,"New York, NY",http://www.gs.com,18,34400,86893
Johnson Controls International,272,37674,-6.3,-868.0,63253,-155.5,Alex A. Molinaroli,Industrial Machinery,Industrials,0,Ireland,"Cork, Ireland",http://www.johnsoncontrols.com,13,209000,24118
GlaxoSmithKline,273,37642,3.0,1230.9,72985,-90.4,Emma N. Walmsley,Pharmaceuticals,Health Care,278,Britain,"Brentford, Britain",http://www.gsk.com,23,99300,1389
China Huaneng Group,274,37543,-13.1,-85.9,144306,-111.1,Cao Peixi,Energy,Energy,217,China,"Beijing, China",http://www.chng.com.cn,9,143691,7512
Energy Transfer Equity,275,37504,-11.0,995.0,79011,-16.3,John W. McReynolds,Pipelines,Energy,225,USA,"Dallas, TX",http://www.energytransfer.com,4,30992,-1694
Shenhua Group,276,37322,-0.8,1916.9,140911,37.9,Ling Wen,"Mining, Crude-Oil Production",Energy,270,China,"Beijing, China",http://www.shenhuagroup.com.cn,8,202200,47962
Greenland Holding Group,277,37240,12.8,1085.2,105495,-1.0,Zhang Yuliang,Real estate,Financials,311,China,"Shanghai, China",http://www.ldjt.com.cn,6,39887,8333
TIAA,278,37105,5.5,1492.3,523194,22.9,Roger W. Ferguson Jr.,"Insurance: Life, Health (Mutual)",Financials,291,USA,"New York, NY",http://www.tiaa.org,20,12997,35583
Jardine Matheson,279,37051,0.1,2503.0,71523,39.3,Ben Keswick,Motor Vehicles and Parts,Motor Vehicles & Parts,273,China,"Hong Kong, China",http://www.jardines.com,18,430000,21800
Oracle,280,37047,-3.1,8901.0,112180,-10.4,Safra A. Catz,Computer Software,Technology,260,USA,"Redwood City, CA",http://www.oracle.com,11,136000,47289
ACS,281,36992,-4.5,830.5,35196,3.2,Florentino Perez Rodriguez,"Engineering, Construction",Engineering & Construction,255,Spain,"Madrid, Spain",http://www.grupoacs.com,13,117542,3778
Sumitomo,282,36888,10.4,1577.1,69669,154.0,Kuniharu Nakamura,Trading,Wholesalers,308,Japan,"Tokyo, Japan",http://www.sumitomocorp.co.jp,23,70900,21241
Tyson Foods,283,36881,-10.9,1768.0,22373,44.9,Thomas P. Hayes,Food Production,"Food, Beverages & Tobacco",235,USA,"Springdale, AR",http://www.tysonfoods.com,16,114000,9608
Barclays,284,36789,-25.7,2807.4,1498612,,James E. Staley,Banks: Commercial and Savings,Financials,181,Britain,"London, Britain",http://www.barclays.com,23,119300,80140
Poste Italiane,285,36617,7.4,687.8,203760,12.3,Matteo Del Fante,"Insurance: Life, Health (stock)",Financials,305,Italy,"Rome, Italy",http://www.posteitaliane.it,12,136739,8578
Centrica,286,36580,-14.4,2256.7,27046,,Iain C. Conn,Utilities,Energy,220,Britain,"Windsor, Britain",http://www.centrica.com,20,38278,3293
United Continental Holdings,287,36556,-3.5,2263.0,40140,-69.2,Oscar Munoz,Airlines,Transportation,265,USA,"Chicago, IL",http://www.unitedcontinentalholdings.com,22,88000,8659
Allstate,288,36534,2.5,1877.0,108610,-13.5,Thomas J. Wilson,Insurance: Property and Casualty (Stock),Financials,283,USA,"Northbrook, IL",http://www.allstate.com,22,43275,20573
Pertamina,289,36487,-12.6,3147.0,47233,121.6,Elia Massa Manik,Petroleum Refining,Energy,230,Indonesia,"Jakarta, Indonesia",http://www.pertamina.com,5,27227,21864
Magna International,290,36445,7.6,2031.0,22566,0.9,Donald J. Walker,Motor Vehicles and Parts,Motor Vehicles & Parts,306,Canada,"Aurora, Ontario, Canada",http://www.magna.com,17,155450,9768
UBS Group,291,36230,-5.9,3252.2,920291,-49.6,Sergio P. Ermotti,Banks: Commercial and Savings,Financials,257,Switzerland,"Zurich, Switzerland",http://www.ubs.com,23,59387,52777
Intesa Sanpaolo,292,36225,-14.2,3440.3,764712,13.2,Carlo Messina,Banks: Commercial and Savings,Financials,224,Italy,"Turin, Italy",http://www.group.intesasanpaolo.com,19,89126,51583
George Weston,293,36211,-1.3,414.9,28299,0.6,Galen G. Weston,Food and Drug Stores,Food & Drug Stores,274,Canada,"Toronto, Ontario, Canada",http://www.weston.ca,23,195000,5790
Mitsubishi Heavy Industries,294,36122,7.2,809.6,49205,52.3,Shunichi Miyanaga,Industrial Machinery,Industrials,307,Japan,"Tokyo, Japan",http://www.mhi.com,23,82728,15074
Rajesh Exports,295,36114,43.1,185.8,3717,13.8,Rajesh J. Mehta,Trading,Wholesalers,423,India,"Bengaluru, India",http://www.rajeshindia.com,2,328,868
Pegatron,296,35891,-6.1,599.6,13776,-20.1,Syh-Jang Liao,"Computers, Office Equipment",Technology,259,Taiwan,"Taipei, Taiwan",http://www.pegatroncorp.com,5,196251,4601
Meiji Yasuda Life Insurance,297,35767,0.4,2064.8,362739,15.8,Akio Negishi,"Insurance: Life, Health (Mutual)",Financials,284,Japan,"Tokyo, Japan",http://www.meijiyasuda.co.jp,23,41872,12074
Maersk Group,298,35464,-12.0,-1939.0,61118,-345.1,Soren Skou,Shipping,Transportation,240,Denmark,"Copenhagen, Denmark",http://www.maersk.com,14,87736,31258
SABIC,299,35421,-10.3,4757.1,84489,-4.9,Yousef Abdullah Al-Benyan,Chemicals,Chemicals,247,Saudi Arabia,"Riyadh, Saudi Arabia",http://www.sabic.com,13,35000,43471
Bouygues,300,35277,-2.2,809.5,36758,81.1,Martin Bouygues,"Engineering, Construction",Engineering & Construction,280,France,"Paris, France",http://www.bouygues.com,23,117997,8585
Volvo,301,35269,-4.8,1535.8,43924,-14.0,Martin Lundstedt,Motor Vehicles and Parts,Motor Vehicles & Parts,272,Sweden,"Goteborg, Sweden",http://www.volvogroup.com,23,89477,10577
Talanx,302,35101,-0.8,1003.0,165124,23.2,Herbert K. Haas,Insurance: Property and Casualty (Stock),Financials,289,Germany,"Hanover, Germany",http://www.talanx.com,4,20039,9574
Lufthansa Group,303,35011,-1.5,1964.0,36593,4.3,Carsten Spohr,Airlines,Transportation,285,Germany,"Cologne, Germany",http://www.lufthansagroup.com,23,107276,7446
Royal Bank of Canada,304,34904,0.3,7839.6,880724,-1.8,David I. McKay,Banks: Commercial and Savings,Financials,297,Canada,"Toronto, Ontario, Canada",http://www.rbc.com,23,75510,52994
Accenture,305,34798,5.7,4111.9,20609,34.7,Pierre Nanterme,Information Technology Services,Technology,312,Ireland,"Dublin, Ireland",http://www.accenture.com,16,384000,7555
Repsol,306,34485,-12.5,1919.7,68392,,Josu Jon Imaz San Miguel,Petroleum Refining,Energy,250,Spain,"Madrid, Spain",http://www.repsol.com,23,24396,32553
China Vanke,307,34458,17.5,3164.5,119555,9.8,Yu Liang,Real estate,Financials,356,China,"Shenzhen, China",http://www.vanke.com,2,58280,16324
Publix Super Markets,308,34274,5.1,2025.7,17464,3.1,Randall T. Jones Sr.,Food and Drug Stores,Food & Drug Stores,317,USA,"Lakeland, FL",http://www.publix.com,23,191000,13473
Edeka Zentrale,309,34193,6.8,356.0,6921,28.3,Markus Mosa,Wholesalers: Food and Grocery,Wholesalers,321,Germany,"Hamburg, Germany",http://www.edeka-verbund.de,19,351500,1729
J. Sainsbury,310,34149,-3.5,490.9,24674,-30.8,Michael Coupe,Food and Drug Stores,Food & Drug Stores,288,Britain,"London, Britain",http://www.j-sainsbury.co.uk,23,118700,7971
Alimentation Couche-Tard,311,34145,-1.1,1193.5,12304,27.9,Brian P. Hannasch,Food and Drug Stores,Food & Drug Stores,301,Canada,"Laval, Quebec, Canada",http://www.couche-tard.com,4,105000,5044
China Energy Engineering Group,312,33930,2.1,421.0,44181,-22.0,Wang Jianping,"Engineering, Construction",Engineering & Construction,309,China,"Beijing, China",http://www.ceec.net.cn,4,169173,5140
Hyundai Heavy Industries,313,33881,-17.1,469.8,40783,,Hwan-Goo Kang,Industrial Machinery,Industrials,237,South Korea,"Ulsan, South Korea",http://www.hyundaiheavy.com,11,30767,13197
ABB,314,33828,-4.7,1899.0,39499,-1.8,Ulrich Spiesshofer,Industrial Machinery,Industrials,286,Switzerland,"Zurich, Switzerland",http://www.abb.com,23,132300,13395
American Express,315,33823,-1.8,5408.0,158893,4.7,Kenneth I. Chenault,Diversified Financials,Financials,302,USA,"New York, NY",http://www.americanexpress.com,23,56400,20501
Rio Tinto Group,316,33781,-3.0,4617.0,89263,,Jean-Sebastien Jacques,"Mining, Crude-Oil Production",Energy,296,Britain,"London, Britain",http://www.riotinto.com,12,51029,39290
SNCF Mobilites,317,33747,3.8,565.1,39993,,Guillaume Pepy,Railroads,Transportation,319,France,"St. Denis, France",http://www.sncf.com,23,193718,4696
CRRC,318,33739,-10.8,1700.3,48681,-9.6,Liu Hualong,Industrial Machinery,Industrials,266,China,"Beijing, China",http://www.crrcgc.cc,2,183061,15088
CK Hutchison Holdings,319,33475,47.4,4252.4,130721,-72.2,"Li Tzar Kuoi, Victor",Specialty Retailers,Retailing,473,China,"Hong Kong, China",http://www.ckh.com.hk,2,290000,54777
Jizhong Energy Group,320,33366,-11.8,-153.9,30819,,Yang GuoZhan,"Mining, Crude-Oil Production",Energy,267,China,"Xingtai, China",http://www.jznyjt.com,7,127298,2042
TJX,321,33184,7.2,2298.2,12884,0.9,Ernie L. Herrman,Specialty Retailers,Retailing,338,USA,"Framingham, MA",http://www.tjx.com,16,235000,4511
Xinxing Cathay International Group,322,33174,1.9,448.2,18705,-1.6,Liu Mingzhong,Metals,Materials,318,China,"Beijing, China",http://www.xxcig.com,6,59429,4585
Hyundai Mobis,323,32972,-0.7,2617.8,34541,-3.1,Young-Deuk Lim,Motor Vehicles and Parts,Motor Vehicles & Parts,310,South Korea,"Seoul, South Korea",http://www.mobis.co.kr,6,29499,23596
Aisin Seiki,324,32879,21.6,1168.9,29964,39.9,Yasumori Ihara,Motor Vehicles and Parts,Motor Vehicles & Parts,393,Japan,"Kariya, Japan",http://www.aisin.com,16,99389,11098
Rite Aid,325,32845,6.9,4.1,11594,-97.6,John T. Standley,Food and Drug Stores,Food & Drug Stores,340,USA,"Camp Hill, PA",http://www.riteaid.com,19,70430,614
Shaanxi Yanchang Petroleum (Group),326,32652,2.8,-22.6,45552,,He Jiuchang,"Mining, Crude-Oil Production",Energy,325,China,"Xi'an, China",http://www.sxycpc.com,5,134134,14063
DZ Bank,327,32636,4.6,1623.4,537278,3.4,Wolfgang Kirsch,Banks: Commercial and Savings,Financials,334,Germany,"Frankfurt, Germany",http://www.dzbank.com,23,28264,21160
UniCredit Group,328,32539,-5.9,-13038.0,906489,-793.7,Jean Pierre Mustier,Banks: Commercial and Savings,Financials,300,Italy,"Milan, Italy",http://www.unicreditgroup.eu,22,117659,41484
China Everbright Group,329,32461,-1.3,1877.8,627701,-11.2,Tang Shuangning,Banks: Commercial and Savings,Financials,313,China,"Beijing, China",http://www.ebchina.com,3,61400,15661
Daiwa House Industry,330,32421,21.9,1861.5,31917,115.8,Takeo Higuchi,"Engineering, Construction",Engineering & Construction,402,Japan,"Osaka, Japan",http://www.daiwahouse.co.jp,13,60539,10761
Nike,331,32376,5.8,3760.0,21396,14.9,Mark G. Parker,Apparel,Apparel,343,USA,"Beaverton, OR",http://www.nike.com,11,70700,12258
Iberdrola,332,32308,-7.3,2991.3,112536,11.4,Jose Ignacio Sanchez Galan,Utilities,Energy,295,Spain,"Bilbao, Spain",http://www.iberdrola.com,13,28389,38695
Commonwealth Bank of Australia,333,32287,-14.3,6712.9,694565,-10.9,Ian M. Narev,Banks: Commercial and Savings,Financials,269,Australia,"Sydney, Australia",http://www.commbank.com.au,13,45129,44816
Sinomach,334,32237,-8.2,502.0,39142,-34.5,Ren Hongbin,Industrial Machinery,Industrials,293,China,"Beijing, China",http://www.sinomach.com.cn,7,115390,8930
Fresenius,335,32161,4.9,1761.6,48984,16.9,Stephan Sturm,Health Care: Medical Facilities,Health Care,341,Germany,"Bad Homburg, Germany",http://www.fresenius.com,8,232873,13186
China Aerospace Science & Technology,336,32094,5.0,1996.2,55721,7.7,Lei Fanpei,Aerospace and Defense,Aerospace & Defense,344,China,"Beijing, China",http://www.spacechina.com,3,170357,21440
Shaanxi Coal & Chemical Industry,337,31926,5.3,-254.4,64151,,Yang Zhaoqian,"Mining, Crude-Oil Production",Energy,347,China,"Xi'an, China",http://www.shccig.com,3,123559,5769
China Evergrande Group,338,31828,50.2,2368.8,194384,-4.3,Hui Kayan,Real estate,Financials,496,China,"Guangzhou, China",http://www.evergrande.com,2,89250,22618
Jiangxi Copper,339,31680,0.4,20.4,16108,,Li Baomin,"Mining, Crude-Oil Production",Energy,328,China,"Guixi, China",http://www.jxcc.com,5,25460,2967
Sompo Holdings,340,31559,16.4,1535.7,107092,15.5,Kengo Sakurada,Insurance: Property and Casualty (Stock),Financials,388,Japan,"Tokyo, Japan",http://www.sompo-hd.com,21,47430,8424
China Poly Group,341,31508,18.1,744.1,95657,-11.4,Zhang Zhengao,Real estate,Financials,401,China,"Beijing, China",http://www.poly.com.cn,3,76425,7676
Chubb,342,31469,65.7,4135.0,159786,45.9,Evan G. Greenberg,Insurance: Property and Casualty (Stock),Financials,0,Switzerland,"Zurich, Switzerland",http://www.chubb.com,1,31000,48275
Zhejiang Geely Holding Group,343,31430,19.5,1265.7,29749,341.6,Li Shufu,Motor Vehicles and Parts,Motor Vehicles & Parts,410,China,"Hangzhou, China",http://www.geely.com,6,60712,5896
Exelon,344,31360,6.5,1134.0,114904,-50.0,Christopher M. Crane,Utilities,Energy,355,USA,"Chicago, IL",http://www.exeloncorp.com,14,34396,25837
General Dynamics,345,31353,-0.4,2955.0,32872,-0.3,Phebe N. Novakovic,Aerospace and Defense,Aerospace & Defense,330,USA,"Falls Church, VA",http://www.generaldynamics.com,17,98800,10976
BT Group,346,31333,9.3,2484.6,52972,-36.2,Gavin E. Patterson,Telecommunications,Telecommunications,369,Britain,"London, Britain",http://www.btplc.com,23,106400,10420
Canon,347,31271,-0.4,1385.0,44062,-23.9,Fujio Mitarai,"Computers, Office Equipment",Technology,332,Japan,"Tokyo, Japan",http://www.canon.com,23,197673,23865
Wuchan Zhongda Group,348,31185,7.3,324.3,11018,47.2,Wang Tingge,Trading,Wholesalers,359,China,"Hangzhou, China",http://www.wuchanzhongda.cn,7,18150,2900
Mitsubishi Chemical Holdings,349,31158,5.6,1442.1,40064,237.1,Hitoshi Ochi,Chemicals,Chemicals,324,Japan,"Tokyo, Japan",http://www.mitsubishichem-hd.co.jp,23,69291,9796
BHP Billiton,350,30912,-40.9,-6385.0,118953,-434.3,Andrew Mackenzie,"Mining, Crude-Oil Production",Energy,168,Australia,"Melbourne, Australia",http://www.bhpbilliton.com,23,26827,54290
Toronto-Dominion Bank,351,30855,2.3,6646.1,878268,4.5,Bharat B. Masrani,Banks: Commercial and Savings,Financials,350,Canada,"Toronto, Ontario, Canada",http://www.td.com,18,81233,54148
Subaru,352,30696,14.0,2605.8,24794,-28.4,Yasuyuki Yoshinaga,Motor Vehicles and Parts,Motor Vehicles & Parts,395,Japan,"Tokyo, Japan",http://www.subaru.co.jp,15,36668,13285
Bridgestone,353,30678,-2.0,2441.3,31901,3.9,Masaaki Tsuya,Motor Vehicles and Parts,Motor Vehicles & Parts,333,Japan,"Tokyo, Japan",http://www.bridgestone.com,23,143616,20268
Credit Suisse Group,354,30588,-13.0,-2750.7,806950,,Tidjane Thiam,Banks: Commercial and Savings,Financials,292,Switzerland,"Zurich, Switzerland",http://www.credit-suisse.com,23,47170,41237
China Aerospace Science & Industry,355,30582,9.7,1443.7,36999,-1.8,Gao Hongwei,Aerospace and Defense,Aerospace & Defense,381,China,"Beijing, China",http://www.casic.com.cn,2,148682,13654
JFE Holdings,356,30539,6.8,627.0,38920,123.6,Eiji Hayashida,Metals,Materials,371,Japan,"Tokyo, Japan",http://www.jfe-holdings.co.jp,15,60439,15632
Mizuho Financial Group,357,30390,13.5,5570.1,1799736,-0.3,Yasuhiro Sato,Banks: Commercial and Savings,Financials,399,Japan,"Tokyo, Japan",http://www.mizuho-fg.co.jp,17,59179,62843
Gilead Sciences,358,30390,-6.9,13501.0,56977,-25.4,John F. Milligan,Pharmaceuticals,Health Care,316,USA,"Foster City, CA",http://www.gilead.com,3,9000,18887
CHS,359,30347,-12.2,424.2,17318,-45.7,Jay D. Debertin,Food Production,"Food, Beverages & Tobacco",299,USA,"Inver Grove Heights, MN",http://www.chsinc.com,10,12157,7852
Bharat Petroleum,360,30316,4.2,1300.5,16801,6.7,D. Rajkumar,Petroleum Refining,Energy,358,India,"Mumbai, India",http://www.bharatpetroleum.in,14,13395,4747
3M,361,30109,-0.5,5050.0,32906,4.5,Inge G. Thulin,Miscellaneous,Industrials,348,USA,"St. Paul, MN",http://www.3m.com,23,91584,10298
China Electronics,362,30010,-4.8,321.9,36575,82.6,Rui Xiaowu,"Electronics, Electrical Equip.",Technology,329,China,"Beijing, China",http://www.cec.com.cn,7,144659,4831
CRH,363,29973,14.3,1374.6,33320,71.2,Albert Manifold,"Building Materials, Glass",Materials,411,Ireland,"Dublin, Ireland",http://www.crh.com,14,86778,14654
China State Shipbuilding,364,29877,-1.0,367.6,40773,-16.1,Wu Qiang,Industrial Machinery,Industrials,349,China,"Beijing, China",http://www.cssc.net.cn,2,68025,9164
Jiangsu Shagang Group,365,29862,-8.8,352.1,23720,148.5,Shen Wenrong,Metals,Materials,314,China,"Zhangjiagang, China",http://www.shasteel.cn,9,35133,5584
China COSCO Shipping,366,29743,29.5,1489.0,94792,30.1,Xu Lirong,Shipping,Transportation,465,China,"Shanghai, China",http://www.coscoshipping.com,10,106478,24148
Mazda Motor,367,29665,4.5,865.5,22660,-22.7,Masamichi Kogai,Motor Vehicles and Parts,Motor Vehicles & Parts,373,Japan,"Hiroshima, Japan",http://www.mazda.com,23,48849,8455
State Power Investment,368,29493,-3.7,436.6,126068,50.9,Wang Binghua,Energy,Energy,342,China,"Beijing, China",http://www.spic.com.cn,6,127343,8477
Taiwan Semiconductor Manufacturing,369,29388,10.6,10283.7,58535,7.8,Mark Liu,Semiconductors and Other Electronic Components,Technology,403,Taiwan,"Hsinchu, Taiwan",http://www.tsmc.com,3,46968,42174
Vale,370,29363,14.7,3982.0,99014,,Fabio Schvartsman,"Mining, Crude-Oil Production",Energy,417,Brazil,"Rio de Janeiro, Brazil",http://www.vale.com,11,73062,39042
Time Warner,371,29318,4.3,3926.0,65966,2.4,Jeffrey L. Bewkes,Entertainment,Media,376,USA,"New York, NY",http://www.timewarner.com,16,25000,24335
Shandong Energy Group,372,29299,16.6,39.2,39887,,Li Weimin,"Mining, Crude-Oil Production",Energy,426,China,"Jinan , China",http://www.snjt.com,6,179689,6575
Suzuki Motor,373,29252,10.4,1476.2,27969,51.9,Toshihiro Suzuki,Motor Vehicles and Parts,Motor Vehicles & Parts,405,Japan,"Hamamatsu, Japan",http://www.globalsuzuki.com,23,62992,10318
LyondellBasell Industries,374,29183,-10.9,3836.0,23442,-14.3,Bhavesh V. Patel,Chemicals,Chemicals,315,Netherlands,"Rotterdam, Netherlands",http://www.lyb.com,10,13000,6048
Royal Philips,375,29003,1.1,1601.3,34068,123.8,Frans A. van Houten,Medical Products and Equipment,Health Care,368,Netherlands,"Amsterdam, Netherlands",http://www.philips.com,23,114731,13289
Charter Communications,376,29003,197.3,3522.0,149067,,Thomas M. Rutledge,Telecommunications,Telecommunications,0,USA,"Stamford, CT",http://www.charter.com,1,91500,40139
Medtronic,377,28833,42.3,3538.0,99782,32.3,Omar S. Ishrak,Medical Products and Equipment,Health Care,0,Ireland,"Dublin, Ireland",http://www.medtronic.com,1,98017,52063
Northwestern Mutual,378,28799,2.4,818.0,250441,0.4,John E. Schlifske,"Insurance: Life, Health (Mutual)",Financials,377,USA,"Milwaukee, WI",http://www.northwesternmutual.com,23,5646,20226
L’Oreal,379,28572,2.0,3434.5,37577,-6.1,Jean-Paul Agon,Household and Personal Products,Household Products,378,France,"Clichy, France",http://www.loreal.com,23,89331,25840
Dalian Wanda Group,380,28483,4.0,110.3,152701,-95.5,Wang Jianlin,Real estate,Financials,385,China,"Beijing, China",http://www.wanda-group.com,2,155905,17237
Medipal Holdings,381,28277,12.1,267.7,13696,4.5,Shuichi Watanabe,Wholesalers: Health Care,Wholesalers,424,Japan,"Tokyo, Japan",http://www.medipal.co.jp,15,15745,3607
China Huadian,382,28204,-10.3,360.6,112115,-70.3,Zhao Jianguo,Utilities,Energy,331,China,"Beijing, China",http://www.chd.com.cn,6,107000,7947
AIA Group,383,28196,21.1,4164.0,185074,54.7,Ng Keng Hooi,"Insurance: Life, Health (stock)",Financials,456,China,"Hong Kong, China",http://www.aia.com,3,20000,34984
Hindustan Petroleum,384,28166,-2.3,1228.1,12370,63.4,Mukesh Kumar Surana,Petroleum Refining,Energy,367,India,"Mumbai, India",http://www.hindustanpetroleum.com,14,10422,3245
Migros Group,385,28155,-1.2,693.3,62536,-16.7,Herbert Bolliger,Food and Drug Stores,Food & Drug Stores,372,Switzerland,"Zurich, Switzerland",http://www.migros.ch,23,77704,17132
Air France-KLM Group,386,27920,-3.4,875.8,24185,569.1,Jean-Marc Janaillac,Airlines,Transportation,363,France,"Paris, France",http://www.airfranceklm.com,21,82175,1354
Compass Group,387,27837,2.5,1408.5,13693,5.0,Richard J. Cousins,Food Services,"Hotels, Restaurants & Leisure",387,Britain,"Chertsey, Britain",http://www.compass-group.com,16,527180,3254
Schlumberger,388,27810,-21.6,-1687.0,77956,-181.4,Paal Kibsgaard,Oil & Gas Equipment Services,Energy,287,USA,"Houston, TX",http://www.slb.com,17,100000,41078
Kansai Electric Power,389,27792,2.8,1299.3,61513,10.8,Shigeki Iwane,Utilities,Energy,391,Japan,"Osaka, Japan",http://www.kepco.co.jp,23,32666,11205
Quanta Computer,390,27715,-12.7,469.3,18229,-16.4,Barry Lam,"Computers, Office Equipment",Technology,326,Taiwan,"Taoyuan, Taiwan",http://www.quantatw.com,12,92698,4123
Westpac Banking,391,27704,-10.8,5477.0,642083,-12.7,Brian C. Hartzer,Banks: Commercial and Savings,Financials,336,Australia,"Sydney, Australia",http://www.westpac.com.au,13,35280,44468
Coop Group,392,27669,2.8,482.1,18369,11.5,Joos Sutter,Food and Drug Stores,Food & Drug Stores,396,Switzerland,"Basel, Switzerland",http://www.coop.ch,8,73451,8250
Facebook,393,27638,54.2,10217.0,64961,177.0,Mark Zuckerberg,Internet Services and Retailing,Technology,0,USA,"Menlo Park, CA",http://www.facebook.com,1,17048,59194
Travelers Cos.,394,27625,3.1,3014.0,100245,-12.4,Alan D. Schnitzer,Insurance: Property and Casualty (Stock),Financials,397,USA,"New York, NY",http://www.travelers.com,14,30900,23221
Capital One Financial,395,27519,9.6,3751.0,357033,-7.4,Richard D. Fairbank,Banks: Commercial and Savings,Financials,430,USA,"McLean, VA",http://www.capitalone.com,7,47300,47514
Twenty-First Century Fox,396,27326,-5.7,2755.0,48365,-66.8,James R. Murdoch,Entertainment,Media,360,USA,"New York, NY",http://www.21cf.com,23,21500,13661
China Guodian,397,27315,-10.5,268.7,114611,-67.2,Qiao Baoping,Energy,Energy,345,China,"Beijing, China",http://www.cgdc.com.cn,8,124056,7496
LafargeHolcim,398,27308,11.4,1817.9,68521,,Eric Olsen,"Building Materials, Glass",Materials,438,Switzerland,"Jona, Switzerland",http://www.lafargeholcim.com,9,90903,30337
Schneider Electric,399,27307,-7.6,1935.2,44137,24.0,Jean-Pascal Tricoire,"Electronics, Electrical Equip.",Technology,354,France,"Rueil-Malmaison, France",http://www.schneider-electric.com,16,143901,21614
China Electronics Technology Group,400,27292,3.3,1611.6,35898,-1.5,Xiong Qun Li,Aerospace and Defense,Aerospace & Defense,408,China,"Beijing, China",http://www.cetc.com.cn,2,158064,15895
USAA,401,27131,11.4,1779.1,147290,-21.7,Stuart Parker,Insurance: Property and Casualty (Stock),Financials,444,USA,"San Antonio, TX",http://www.usaa.com,4,29943,28840
World Fuel Services,402,27016,-11.1,126.5,5413,-27.5,Michael J. Kasbar,Energy,Energy,346,USA,"Miami, FL",http://www.wfscorp.com,6,5000,1925
Phoenix Pharmahandel,403,26976,5.2,135.4,9292,-39.5,Oliver Windholz,Wholesalers: Health Care,Wholesalers,416,Germany,"Mannheim, Germany",http://www.phoenixgroup.eu,7,26611,2732
Veolia Environnement,404,26972,-2.6,423.6,40022,-15.2,Antoine Frerot,Utilities,Energy,382,France,"Paris, France",http://www.veolia.com,15,156225,8173
National Australia Bank,405,26958,-21.1,259.0,594967,-94.8,Andrew G. Thorburn,Banks: Commercial and Savings,Financials,304,Australia,"Docklands, Australia",http://www.nab.com.au,22,34263,39244
Philip Morris International,406,26685,-0.4,6967.0,36851,1.4,Andre Calantzopoulos,Tobacco,"Food, Beverages & Tobacco",398,USA,"New York, NY",http://www.pmi.com,9,79500,-12688
Deere,407,26644,-7.7,1523.9,57981,-21.4,Samuel R. Allen,Construction and Farm Machinery,Industrials,364,USA,"Moline, IL",http://www.johndeere.com,23,56767,6520
East Japan Railway,408,26587,11.3,2565.0,71009,25.5,Tetsuro Tomita,Railroads,Transportation,447,Japan,"Tokyo, Japan",http://www.jreast.co.jp,23,85834,23253
Achmea,409,26494,2.8,-423.5,98096,-199.7,Willem A.J. van Duin,"Insurance: Life, Health (Mutual)",Financials,413,Netherlands,"Zeist, Netherlands",http://www.achmea.nl,4,14921,10308
Kraft Heinz,410,26487,44.4,3632.0,120480,472.9,Bernardo Hees,Food Consumer Products,"Food, Beverages & Tobacco",0,USA,"Pittsburgh, PA",http://www.kraftheinzcompany.com,3,41000,57358
Cathay Life Insurance,411,26292,14.9,934.0,172442,-22.5,Ming-Ho Hsiung,"Insurance: Life, Health (stock)",Financials,468,Taiwan,"Taipei, Taiwan",http://www.cathaylife.com.tw,16,36578,11212
Tech Data,412,26235,-0.5,195.1,7932,-26.6,Robert M. Dutkowsky,Wholesalers: Electronics and Office Equipment,Wholesalers,409,USA,"Clearwater, FL",http://www.techdata.com,19,9500,2170
Samsung Life Insurance,413,26222,7.0,1770.3,219157,65.3,Chang-Soo Kim,"Insurance: Life, Health (stock)",Financials,439,South Korea,"Seoul, South Korea",http://www.samsunglife.com,21,5284,22064
Avnet,414,26219,-6.1,506.5,11240,-11.4,William J. Amelio,Wholesalers: Electronics and Office Equipment,Wholesalers,380,USA,"Phoenix, AZ",http://www.avnet.com,7,17700,4691
Nokia,415,26113,73.4,-847.1,47354,-131.0,Rajeev Suri,Network and Other Communications Equipment,Technology,0,Finland,"Espoo, Finland",http://www.nokia.com,19,102687,21192
Enbridge,416,26073,-1.4,1560.9,64011,695.0,Al Monaco,Pipelines,Energy,407,Canada,"Calgary, Alberta, Canada",http://www.enbridge.com,4,7733,15949
Gas Natural Fenosa,417,26070,-11.5,1489.6,49688,-10.6,Rafael Villaseca Marco,Utilities,Energy,365,Spain,"Barcelona, Spain",http://www.gasnaturalfenosa.com,9,17229,16057
Australia & New Zealand Banking Group,418,26032,-10.1,4199.9,699976,-28.4,Shayne Elliott,Banks: Commercial and Savings,Financials,362,Australia,"Docklands, Australia",http://www.anz.com,14,46554,44237
LM Ericsson,419,26004,-11.2,200.5,31199,-87.5,Borje Ekholm,Network and Other Communications Equipment,Technology,357,Sweden,"Stockholm, Sweden",http://www.ericsson.com,23,111464,15395
Sumitomo Electric Industries,420,25975,6.3,992.7,26062,31.0,Masayoshi Matsumoto,Motor Vehicles and Parts,Motor Vehicles & Parts,440,Japan,"Osaka, Japan",http://www.global-sei.com,23,248330,11769
Mondelez International,421,25923,-12.5,1659.0,61538,-77.2,Irene B. Rosenfeld,Food Consumer Products,"Food, Beverages & Tobacco",352,USA,"Deerfield, IL",http://www.mondelezinternational.com,10,90000,25161
Old Mutual,422,25913,23.8,769.3,211943,-18.0,Bruce Hemphill,"Insurance: Life, Health (stock)",Financials,500,Britain,"London, Britain",http://www.oldmutualplc.com,16,68527,9949
Idemitsu Kosan,423,25888,-1.0,813.7,23711,,Takashi Tsukioka,Petroleum Refining,Energy,412,Japan,"Tokyo, Japan",http://www.idemitsu.com,23,9139,3852
Bank of Nova Scotia,424,25817,2.8,5362.2,668805,-4.9,Brian J. Porter,Banks: Commercial and Savings,Financials,428,Canada,"Toronto, Ontario, Canada",http://www.scotiabank.com,20,88901,41975
Macy’s,425,25778,-4.8,619.0,19851,-42.3,Jeffrey Gennette,General Merchandisers,Retailing,389,USA,"Cincinnati, OH",http://www.macysinc.com,23,148300,4323
Mapfre Group,426,25775,3.9,857.5,71590,9.1,Antonio Huertas Mejias,Insurance: Property and Casualty (Stock),Financials,434,Spain,"Madrid, Spain",http://www.mapfre.com,10,37020,9625
La Poste,427,25760,0.8,938.9,257526,33.3,Philippe Wahl,"Mail, Package, and Freight Delivery",Transportation,418,France,"Paris, France",http://www.laposte.fr,22,240407,11513
Inditex,428,25733,11.6,3485.0,21203,9.9,Pablo Isla Alvarez de Tejera,Specialty Retailers,Retailing,463,Spain,"Arteixo, Spain",http://www.inditex.com,2,162450,13738
AbbVie,429,25638,12.2,5953.0,66099,15.7,Richard A. Gonzalez,Pharmaceuticals,Health Care,469,USA,"North Chicago, IL",http://www.abbvie.com,2,30000,4636
Datong Coal Mine Group,430,25630,-19.8,-214.8,40012,,Zhang Youxi,"Mining, Crude-Oil Production",Energy,322,China,"Datong, China",http://www.dtcoalmine.com,5,162542,3169
Lotte Shopping,431,25444,-1.2,144.9,34710,,Hee-Tae Kang,General Merchandisers,Retailing,414,South Korea,"Seoul, South Korea",http://www.lotteshopping.com,4,26357,13502
Standard Life,432,25279,46.9,496.7,235324,-77.2,Keith Skeoch,Diversified Financials,Financials,0,Britain,"Edinburgh, Britain",http://www.standardlife.com,19,6302,5370
Shanxi Coking Coal Group,433,25123,-19.1,-10.0,39206,-113.1,Wu Huatai,"Mining, Crude-Oil Production",Energy,337,China,"Taiyuan, China",http://www.sxcc.com.cn,5,209817,4318
Adecco Group,434,25112,2.9,799.5,10651,8909.5,Alain Dehaze,Temporary Help,Business Services,442,Switzerland,"Glattbrugg, Switzerland",http://www.adeccogroup.com,19,33000,3918
International Airlines Group,435,24956,-1.6,2135.4,28868,28.8,Willie Walsh,Airlines,Transportation,421,Britain,"Harmondsworth, Britain",http://www.iairgroup.com,20,63387,5649
McDonald’s,436,24622,-3.1,4686.5,31024,3.5,Stephen J. Easterbrook,Food Services,"Hotels, Restaurants & Leisure",420,USA,"Oak Brook, IL",http://www.aboutmcdonalds.com,23,375000,-2204
NEC,437,24596,4.5,252.0,24091,-60.1,Takashi Niino,Information Technology Services,Technology,452,Japan,"Tokyo, Japan",http://www.nec.com,23,107729,7668
DuPont,438,24594,-12.0,2513.0,39964,28.7,Edward D. Breen,Chemicals,Chemicals,379,USA,"Wilmington, DE",http://www.dupont.com,23,46000,9998
China National Aviation Fuel Group,439,24588,11.3,320.0,6093,-4.3,Zhou Qiang,Wholesalers: Diversified,Wholesalers,484,China,"Beijing, China",http://www.cnaf.com,7,11739,2263
Northrop Grumman,440,24508,4.2,2200.0,25614,10.6,Wesley G. Bush,Aerospace and Defense,Aerospace & Defense,450,USA,"Falls Church, VA",http://www.northropgrumman.com,18,67000,5259
Brookfield Asset Management,441,24411,22.6,1651.0,159826,-29.5,J. Bruce Flatt,Diversified Financials,Financials,0,Canada,"Toronto, Ontario, Canada",http://www.brookfield.com,1,55700,26453
Mercantil Servicios Financieros,442,24403,50.3,2004.2,148659,-10.5,Gustavo J. Vollmer A.,Banks: Commercial and Savings,Financials,0,Venezuela,"Caracas, Venezuela",http://www.msf.com,1,8370,7550
SAP,443,24397,5.8,4031.9,46696,18.6,William R. McDermott,Computer Software,Technology,462,Germany,"Walldorf, Germany",http://www.sap.com,2,84183,27817
ConocoPhillips,444,24360,-21.3,-3615.0,89772,,Ryan M. Lance,"Mining, Crude-Oil Production",Energy,339,USA,"Houston, TX",http://www.conocophillips.com,23,13300,34974
Yangquan Coal Industry Group,445,24284,-14.2,11.1,30793,,Zhai Hong,"Mining, Crude-Oil Production",Energy,374,China,"Yangquan, China",http://www.ymjt.com.cn%20,5,146236,1783
Danone,446,24267,-2.4,1902.1,46350,33.8,Emmanuel Faber,Food Consumer Products,"Food, Beverages & Tobacco",433,France,"Paris, France",http://www.danone.com,23,99187,13825
Samsung C&T,447,24217,105.2,92.5,36816,-96.2,Chi-Hun Choi,"Engineering, Construction",Engineering & Construction,0,South Korea,"Seoul, South Korea",http://www.samsungcnt.com,1,13898,15155
Shanxi LuAn Mining Group,448,24087,-15.9,-106.9,29026,,Li Jinping,"Mining, Crude-Oil Production",Energy,370,China,"Changzhi, China",http://www.chinaluan.com,5,95666,2542
Raytheon,449,24069,3.5,2211.0,30052,6.6,Thomas A. Kennedy,Aerospace and Defense,Aerospace & Defense,457,USA,"Waltham, MA",http://www.raytheon.com,22,63000,10066
Midea Group,450,24060,8.5,2210.4,24549,9.3,Fang Hongbo,"Electronics, Electrical Equip.",Technology,481,China,"Foshan, China",http://www.midea.com,2,126418,8796
Chubu Electric Power,451,24028,1.1,1058.2,48580,-25.2,Satoru Katsuno,Utilities,Energy,448,Japan,"Nagoya, Japan",http://www.chuden.co.jp,23,30635,14695
BAE Systems,452,24011,-6.4,1232.3,28383,-12.1,Charles Woodburn,Aerospace and Defense,Aerospace & Defense,415,Britain,"London, Britain",http://www.baesystems.com,23,76000,4247
Andeavor,453,24005,-14.7,734.0,20398,-52.3,Gregory J. Goff,Petroleum Refining,Energy,375,USA,"San Antonio, TX",http://www.tsocorp.com,11,6308,5465
China Datang,454,23871,-9.7,243.9,101631,32.9,Chen Jinhang,Energy,Energy,406,China,"Beijing, China",http://www.china-cdt.com,8,97091,7371
Flex,455,23863,-2.3,319.6,12593,-28.0,Michael M. McNamara,Semiconductors and Other Electronic Components,Technology,441,Singapore,Singapore,http://www.flex.com,17,200000,2645
Arrow Electronics,456,23825,2.3,522.8,14206,5.0,Michael J. Long,Wholesalers: Electronics and Office Equipment,Wholesalers,455,USA,"Centennial, CO",http://www.arrow.com,4,18700,4413
Heraeus Holding,457,23793,65.9,,4982,,Jan Rinnert,Metals,Materials,0,Germany,"Hanau, Germany",http://www.heraeus.com,7,12369,3160
Compal Electronics,458,23773,-10.9,252.1,10769,-7.9,Jui-Tsung Chen,"Computers, Office Equipment",Technology,400,Taiwan,"Taipei, Taiwan",http://www.compal.com,6,64728,3283
Yango Financial Holding,459,23657,11.5,159.2,24231,-59.0,Lin Tengjiao,Diversified Financials,Financials,0,China,"Fuzhou, China",http://www.yangofinance.com,1,10234,1925
Qualcomm,460,23554,-6.8,5705.0,52359,8.2,Steven M. Mollenkopf,Semiconductors and Other Electronic Components,Technology,422,USA,"San Diego, CA",http://www.qualcomm.com,4,30500,31778
Alfresa Holdings,461,23551,9.7,285.1,11273,-2.1,Taizo Kubo,Wholesalers: Health Care,Wholesalers,492,Japan,"Tokyo, Japan",http://www.alfresa.com,8,13217,2993
Alibaba Group Holding,462,23517,47.9,6489.5,73538,-42.2,Daniel Zhang,Internet Services and Retailing,Technology,0,China,"Hangzhou, China",http://www.alibabagroup.com,1,50097,40454
Koc Holding,463,23456,-8.1,1144.2,25047,-12.7,Levent Cakiroglu,Energy,Energy,419,Turkey,"Istanbul, Turkey",http://www.koc.com.tr,16,95456,7345
Progressive,464,23441,12.4,1031.0,33428,-18.7,Susan Patricia Griffith,Insurance: Property and Casualty (Stock),Financials,0,USA,"Mayfield Village, OH",http://www.progressive.com,4,31721,7957
Duke Energy,465,23369,-1.0,2152.0,132761,-23.6,Lynn J. Good,Utilities,Energy,446,USA,"Charlotte, NC",http://www.duke-energy.com,14,28798,41033
Michelin,466,23120,-1.7,1853.4,26705,43.0,Jean-Dominique Senard,Motor Vehicles and Parts,Motor Vehicles & Parts,451,France,"Clermont-Ferrand, France",http://www.michelin.com,23,105654,11178
Country Garden Holdings,467,23044,27.9,1733.6,85124,17.4,Mo Bin,Real estate,Financials,0,China,"Foshan, China",http://www.countrygarden.com.cn,1,94450,10091
Heineken Holding,468,23044,-0.7,861.5,41469,-18.9,Jean-Francois van Boxmeer,Beverages,"Food, Beverages & Tobacco",459,Netherlands,"Amsterdam, Netherlands",http://www.theheinekencompany.com,11,73525,6958
Enterprise Products Partners,469,23022,-14.8,2513.1,52194,-0.3,A. James Teague,Pipelines,Energy,392,USA,"Houston, TX",http://www.enterpriseproducts.com,7,6800,22047
AstraZeneca,470,23002,-6.9,3499.0,62526,23.9,Pascal Soriot,Pharmaceuticals,Health Care,435,Britain,"Cambridge, Britain",http://www.astrazeneca.com,19,59700,14854
Amgen,471,22991,6.1,7722.0,77626,11.3,Robert A. Bradway,Pharmaceuticals,Health Care,487,USA,"Thousand Oaks, CA",http://www.amgen.com,2,19200,29875
Rabobank Group,472,22956,-4.4,828.3,698790,-15.1,Wiebe Draijer,Banks: Commercial and Savings,Financials,445,Netherlands,"Utrecht, Netherlands",http://www.rabobank.com,23,40029,27232
Altice,473,22953,42.2,-1722.5,84805,,Michel Combes,Telecommunications,Telecommunications,0,Netherlands,"Amsterdam, Netherlands",http://www.altice.net,1,49732,-2668
Onex,474,22943,3.8,-130.0,42913,,Gerald W. Schwartz,Semiconductors and Other Electronic Components,Technology,483,Canada,"Toronto, Ontario, Canada",http://www.onex.com,18,161000,-490
US Foods Holding,475,22919,-0.9,209.8,8945,25.2,Pietro Satriano,Wholesalers: Food and Grocery,Wholesalers,461,USA,"Rosemont, IL",http://www.usfoods.com,2,25000,2538
Shanxi Jincheng Anthracite Coal Mining Group,476,22875,-17.0,3.0,32954,,He Tiancai,"Mining, Crude-Oil Production",Energy,384,China,"Jincheng, China",http://www.jamg.cn,5,135691,2988
Randstad Holding,477,22873,7.3,650.2,9624,13.0,Jacques van den Broek,Temporary Help,Business Services,494,Netherlands,"Diemen, Netherlands",http://www.randstad.com,5,32280,4366
Tencent Holdings,478,22871,39.7,6185.9,56968,35.0,Pony Ma,Internet Services and Retailing,Technology,0,China,"Shenzhen, China",http://www.tencent.com,1,38775,25128
LG Display,479,22840,-9.0,781.4,20606,-8.6,Sang-Beom Han,"Electronics, Electrical Equip.",Technology,429,South Korea,"Seoul, South Korea",http://www.lgdisplay.com,6,49094,10729
Emirates Group,480,22799,0.3,340.3,33096,-82.5,Sheikh Ahmed bin Saeed Al Maktoum,Airlines,Transportation,472,U.A.E,"Dubai, U.A.E",http://www.theemiratesgroup.com,2,64768,9395
U.S. Bancorp,481,22744,5.8,5888.0,445964,0.2,Andrew J. Cecere,Banks: Commercial and Savings,Financials,490,USA,"Minneapolis, MN",http://www.usbank.com,12,71191,47298
H & M Hennes & Mauritz,482,22618,4.6,2192.3,10681,-12.3,Karl-Johan Persson,Specialty Retailers,Retailing,488,Sweden,"Stockholm, Sweden",http://www.hm.com,2,114586,6635
Aflac,483,22559,8.1,2659.0,129819,5.0,Daniel P. Amos,"Insurance: Life, Health (stock)",Financials,0,USA,"Columbus, GA",http://www.aflac.com,10,10212,20482
Sodexo,484,22477,-2.0,707.2,15766,-12.7,Michel Landel,Food Services,"Hotels, Restaurants & Leisure",466,France,"Issy-les-Moulineaux, France",http://www.sodexo.com,18,425594,4085
Suning Commerce Group,485,22366,3.7,106.0,19738,-23.6,Ren Jun,Specialty Retailers,Retailing,0,China,"Nanjing, China",http://www.suning.com,1,60354,9455
GS Caltex,486,22207,-11.4,1221.1,15969,42.1,Jin-Soo Huh,Petroleum Refining,Energy,431,South Korea,"Seoul, South Korea",http://www.gscaltex.com,6,2949,8150
Ultrapar Holdings,487,22167,-2.3,447.5,7426,-0.8,Thilo Mannhardt,Energy,Energy,474,Brazil,"Sao Paulo, Brazil",http://www.ultra.com.br,8,15173,2621
Xiamen C&D,488,22145,6.6,280.2,21729,15.6,Huang Wenzhou,Trading,Wholesalers,0,China,"Xiamen, China",http://www.chinacdc.com,1,18381,3985
Sears Holdings,489,22138,-12.0,-2221.0,9362,,Edward S. Lampert,General Merchandisers,Retailing,425,USA,"Hoffman Estates, IL",http://www.searsholdings.com,23,140000,-3824
China General Technology,490,22113,-20.1,413.6,20860,-20.8,Xu Xianping,"Engineering, Construction",Engineering & Construction,383,China,"Beijing, China",http://www.genertec.com.cn,4,38589,5114
National Grid,491,22036,-3.2,10150.6,82310,160.2,John Pettigrew,Utilities,Energy,471,Britain,"London, Britain",http://www.nationalgrid.com,12,22132,25463
Dollar General,492,21987,7.9,1251.1,11672,7.4,Todd J. Vasos,Specialty Retailers,Retailing,0,USA,"Goodlettsville, TN",http://www.dollargeneral.com,1,121000,5406
Telecom Italia,493,21941,-17.4,1999.4,74295,,Flavio Cattaneo,Telecommunications,Telecommunications,404,Italy,"Milan, Italy",http://www.telecomitalia.com,18,61227,22366
Xiamen ITG Holding Group,494,21930,34.3,35.6,12161,-25.1,Xu Xiaoxi,Trading,Wholesalers,0,China,"Xiamen, China",http://www.itgholding.com.cn,1,18454,1066
Xinjiang Guanghui Industry Investment,495,21919,31.1,251.8,31957,49.9,Shang Jiqiang,Trading,Wholesalers,0,China,"Urumqi, China",http://www.guanghui.com,1,65616,4563
Teva Pharmaceutical Industries,496,21903,11.5,329.0,92890,-79.3,Yitzhak Peterburg,Pharmaceuticals,Health Care,0,Israel,"Petach Tikva, Israel",http://www.tevapharm.com,1,56960,33337
New China Life Insurance,497,21796,-13.3,743.9,100609,-45.6,Wan Feng,"Insurance: Life, Health (stock)",Financials,427,China,"Beijing, China",http://www.newchinalife.com,2,54378,8507
Wm. Morrison Supermarkets,498,21741,-11.3,406.4,11630,20.4,David T. Potts,Food and Drug Stores,Food & Drug Stores,437,Britain,"Bradford, Britain",http://www.morrisons.com,13,77210,5111
TUI,499,21655,-5.5,1151.7,16247,195.5,Friedrich Joussen,Travel Services,Business Services,467,Germany,"Hanover, Germany",http://www.tuigroup.com,23,66779,3006
AutoNation,500,21609,3.6,430.5,10060,-2.7,Michael J. Jackson,Specialty Retailers,Retailing,0,USA,"Fort Lauderdale, FL",http://www.autonation.com,12,26000,2310
jupyter/pliki/football.csv 0 → 100644
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jupyter/pliki/iris.data 0 → 100644
5.1,3.5,1.4,0.2,Iris-setosa
4.9,3.0,1.4,0.2,Iris-setosa
4.7,3.2,1.3,0.2,Iris-setosa
4.6,3.1,1.5,0.2,Iris-setosa
5.0,3.6,1.4,0.2,Iris-setosa
5.4,3.9,1.7,0.4,Iris-setosa
4.6,3.4,1.4,0.3,Iris-setosa
5.0,3.4,1.5,0.2,Iris-setosa
4.4,2.9,1.4,0.2,Iris-setosa
4.9,3.1,1.5,0.1,Iris-setosa
5.4,3.7,1.5,0.2,Iris-setosa
4.8,3.4,1.6,0.2,Iris-setosa
4.8,3.0,1.4,0.1,Iris-setosa
4.3,3.0,1.1,0.1,Iris-setosa
5.8,4.0,1.2,0.2,Iris-setosa
5.7,4.4,1.5,0.4,Iris-setosa
5.4,3.9,1.3,0.4,Iris-setosa
5.1,3.5,1.4,0.3,Iris-setosa
5.7,3.8,1.7,0.3,Iris-setosa
5.1,3.8,1.5,0.3,Iris-setosa
5.4,3.4,1.7,0.2,Iris-setosa
5.1,3.7,1.5,0.4,Iris-setosa
4.6,3.6,1.0,0.2,Iris-setosa
5.1,3.3,1.7,0.5,Iris-setosa
4.8,3.4,1.9,0.2,Iris-setosa
5.0,3.0,1.6,0.2,Iris-setosa
5.0,3.4,1.6,0.4,Iris-setosa
5.2,3.5,1.5,0.2,Iris-setosa
5.2,3.4,1.4,0.2,Iris-setosa
4.7,3.2,1.6,0.2,Iris-setosa
4.8,3.1,1.6,0.2,Iris-setosa
5.4,3.4,1.5,0.4,Iris-setosa
5.2,4.1,1.5,0.1,Iris-setosa
5.5,4.2,1.4,0.2,Iris-setosa
4.9,3.1,1.5,0.1,Iris-setosa
5.0,3.2,1.2,0.2,Iris-setosa
5.5,3.5,1.3,0.2,Iris-setosa
4.9,3.1,1.5,0.1,Iris-setosa
4.4,3.0,1.3,0.2,Iris-setosa
5.1,3.4,1.5,0.2,Iris-setosa
5.0,3.5,1.3,0.3,Iris-setosa
4.5,2.3,1.3,0.3,Iris-setosa
4.4,3.2,1.3,0.2,Iris-setosa
5.0,3.5,1.6,0.6,Iris-setosa
5.1,3.8,1.9,0.4,Iris-setosa
4.8,3.0,1.4,0.3,Iris-setosa
5.1,3.8,1.6,0.2,Iris-setosa
4.6,3.2,1.4,0.2,Iris-setosa
5.3,3.7,1.5,0.2,Iris-setosa
5.0,3.3,1.4,0.2,Iris-setosa
7.0,3.2,4.7,1.4,Iris-versicolor
6.4,3.2,4.5,1.5,Iris-versicolor
6.9,3.1,4.9,1.5,Iris-versicolor
5.5,2.3,4.0,1.3,Iris-versicolor
6.5,2.8,4.6,1.5,Iris-versicolor
5.7,2.8,4.5,1.3,Iris-versicolor
6.3,3.3,4.7,1.6,Iris-versicolor
4.9,2.4,3.3,1.0,Iris-versicolor
6.6,2.9,4.6,1.3,Iris-versicolor
5.2,2.7,3.9,1.4,Iris-versicolor
5.0,2.0,3.5,1.0,Iris-versicolor
5.9,3.0,4.2,1.5,Iris-versicolor
6.0,2.2,4.0,1.0,Iris-versicolor
6.1,2.9,4.7,1.4,Iris-versicolor
5.6,2.9,3.6,1.3,Iris-versicolor
6.7,3.1,4.4,1.4,Iris-versicolor
5.6,3.0,4.5,1.5,Iris-versicolor
5.8,2.7,4.1,1.0,Iris-versicolor
6.2,2.2,4.5,1.5,Iris-versicolor
5.6,2.5,3.9,1.1,Iris-versicolor
5.9,3.2,4.8,1.8,Iris-versicolor
6.1,2.8,4.0,1.3,Iris-versicolor
6.3,2.5,4.9,1.5,Iris-versicolor
6.1,2.8,4.7,1.2,Iris-versicolor
6.4,2.9,4.3,1.3,Iris-versicolor
6.6,3.0,4.4,1.4,Iris-versicolor
6.8,2.8,4.8,1.4,Iris-versicolor
6.7,3.0,5.0,1.7,Iris-versicolor
6.0,2.9,4.5,1.5,Iris-versicolor
5.7,2.6,3.5,1.0,Iris-versicolor
5.5,2.4,3.8,1.1,Iris-versicolor
5.5,2.4,3.7,1.0,Iris-versicolor
5.8,2.7,3.9,1.2,Iris-versicolor
6.0,2.7,5.1,1.6,Iris-versicolor
5.4,3.0,4.5,1.5,Iris-versicolor
6.0,3.4,4.5,1.6,Iris-versicolor
6.7,3.1,4.7,1.5,Iris-versicolor
6.3,2.3,4.4,1.3,Iris-versicolor
5.6,3.0,4.1,1.3,Iris-versicolor
5.5,2.5,4.0,1.3,Iris-versicolor
5.5,2.6,4.4,1.2,Iris-versicolor
6.1,3.0,4.6,1.4,Iris-versicolor
5.8,2.6,4.0,1.2,Iris-versicolor
5.0,2.3,3.3,1.0,Iris-versicolor
5.6,2.7,4.2,1.3,Iris-versicolor
5.7,3.0,4.2,1.2,Iris-versicolor
5.7,2.9,4.2,1.3,Iris-versicolor
6.2,2.9,4.3,1.3,Iris-versicolor
5.1,2.5,3.0,1.1,Iris-versicolor
5.7,2.8,4.1,1.3,Iris-versicolor
6.3,3.3,6.0,2.5,Iris-virginica
5.8,2.7,5.1,1.9,Iris-virginica
7.1,3.0,5.9,2.1,Iris-virginica
6.3,2.9,5.6,1.8,Iris-virginica
6.5,3.0,5.8,2.2,Iris-virginica
7.6,3.0,6.6,2.1,Iris-virginica
4.9,2.5,4.5,1.7,Iris-virginica
7.3,2.9,6.3,1.8,Iris-virginica
6.7,2.5,5.8,1.8,Iris-virginica
7.2,3.6,6.1,2.5,Iris-virginica
6.5,3.2,5.1,2.0,Iris-virginica
6.4,2.7,5.3,1.9,Iris-virginica
6.8,3.0,5.5,2.1,Iris-virginica
5.7,2.5,5.0,2.0,Iris-virginica
5.8,2.8,5.1,2.4,Iris-virginica
6.4,3.2,5.3,2.3,Iris-virginica
6.5,3.0,5.5,1.8,Iris-virginica
7.7,3.8,6.7,2.2,Iris-virginica
7.7,2.6,6.9,2.3,Iris-virginica
6.0,2.2,5.0,1.5,Iris-virginica
6.9,3.2,5.7,2.3,Iris-virginica
5.6,2.8,4.9,2.0,Iris-virginica
7.7,2.8,6.7,2.0,Iris-virginica
6.3,2.7,4.9,1.8,Iris-virginica
6.7,3.3,5.7,2.1,Iris-virginica
7.2,3.2,6.0,1.8,Iris-virginica
6.2,2.8,4.8,1.8,Iris-virginica
6.1,3.0,4.9,1.8,Iris-virginica
6.4,2.8,5.6,2.1,Iris-virginica
7.2,3.0,5.8,1.6,Iris-virginica
7.4,2.8,6.1,1.9,Iris-virginica
7.9,3.8,6.4,2.0,Iris-virginica
6.4,2.8,5.6,2.2,Iris-virginica
6.3,2.8,5.1,1.5,Iris-virginica
6.1,2.6,5.6,1.4,Iris-virginica
7.7,3.0,6.1,2.3,Iris-virginica
6.3,3.4,5.6,2.4,Iris-virginica
6.4,3.1,5.5,1.8,Iris-virginica
6.0,3.0,4.8,1.8,Iris-virginica
6.9,3.1,5.4,2.1,Iris-virginica
6.7,3.1,5.6,2.4,Iris-virginica
6.9,3.1,5.1,2.3,Iris-virginica
5.8,2.7,5.1,1.9,Iris-virginica
6.8,3.2,5.9,2.3,Iris-virginica
6.7,3.3,5.7,2.5,Iris-virginica
6.7,3.0,5.2,2.3,Iris-virginica
6.3,2.5,5.0,1.9,Iris-virginica
6.5,3.0,5.2,2.0,Iris-virginica
6.2,3.4,5.4,2.3,Iris-virginica
5.9,3.0,5.1,1.8,Iris-virginica
jupyter/pliki/nba-ok.csv 0 → 100644
,Name,Team,Number,Position,Age,Height,Weight,College,Salary
0,Avery Bradley,Boston Celtics,0.0,PG,25.0,6-2,180.0,Texas,7730337.0
1,Jae Crowder,Boston Celtics,99.0,SF,25.0,6-6,235.0,Marquette,6796117.0
2,John Holland,Boston Celtics,30.0,SG,27.0,6-5,205.0,Boston University,0.0
3,R.J. Hunter,Boston Celtics,28.0,SG,22.0,6-5,185.0,Georgia State,1148640.0
4,Jonas Jerebko,Boston Celtics,8.0,PF,29.0,6-10,231.0,,5000000.0
5,Amir Johnson,Boston Celtics,90.0,PF,29.0,6-9,240.0,,12000000.0
6,Jordan Mickey,Boston Celtics,55.0,PF,21.0,6-8,235.0,LSU,1170960.0
7,Kelly Olynyk,Boston Celtics,41.0,C,25.0,7-0,238.0,Gonzaga,2165160.0
8,Terry Rozier,Boston Celtics,12.0,PG,22.0,6-2,190.0,Louisville,1824360.0
9,Marcus Smart,Boston Celtics,36.0,PG,22.0,6-4,220.0,Oklahoma State,3431040.0
10,Jared Sullinger,Boston Celtics,7.0,C,24.0,6-9,260.0,Ohio State,2569260.0
11,Isaiah Thomas,Boston Celtics,4.0,PG,27.0,5-9,185.0,Washington,6912869.0
12,Evan Turner,Boston Celtics,11.0,SG,27.0,6-7,220.0,Ohio State,3425510.0
13,James Young,Boston Celtics,13.0,SG,20.0,6-6,215.0,Kentucky,1749840.0
14,Tyler Zeller,Boston Celtics,44.0,C,26.0,7-0,253.0,North Carolina,2616975.0
15,Bojan Bogdanovic,Brooklyn Nets,44.0,SG,27.0,6-8,216.0,,3425510.0
16,Markel Brown,Brooklyn Nets,22.0,SG,24.0,6-3,190.0,Oklahoma State,845059.0
17,Wayne Ellington,Brooklyn Nets,21.0,SG,28.0,6-4,200.0,North Carolina,1500000.0
18,Rondae Hollis-Jefferson,Brooklyn Nets,24.0,SG,21.0,6-7,220.0,Arizona,1335480.0
19,Jarrett Jack,Brooklyn Nets,2.0,PG,32.0,6-3,200.0,Georgia Tech,6300000.0
20,Sergey Karasev,Brooklyn Nets,10.0,SG,22.0,6-7,208.0,,1599840.0
21,Sean Kilpatrick,Brooklyn Nets,6.0,SG,26.0,6-4,219.0,Cincinnati,134215.0
22,Shane Larkin,Brooklyn Nets,0.0,PG,23.0,5-11,175.0,Miami (FL),1500000.0
23,Brook Lopez,Brooklyn Nets,11.0,C,28.0,7-0,275.0,Stanford,19689000.0
24,Chris McCullough,Brooklyn Nets,1.0,PF,21.0,6-11,200.0,Syracuse,1140240.0
25,Willie Reed,Brooklyn Nets,33.0,PF,26.0,6-10,220.0,Saint Louis,947276.0
26,Thomas Robinson,Brooklyn Nets,41.0,PF,25.0,6-10,237.0,Kansas,981348.0
27,Henry Sims,Brooklyn Nets,14.0,C,26.0,6-10,248.0,Georgetown,947276.0
28,Donald Sloan,Brooklyn Nets,15.0,PG,28.0,6-3,205.0,Texas A&M,947276.0
29,Thaddeus Young,Brooklyn Nets,30.0,PF,27.0,6-8,221.0,Georgia Tech,11235955.0
30,Arron Afflalo,New York Knicks,4.0,SG,30.0,6-5,210.0,UCLA,8000000.0
31,Lou Amundson,New York Knicks,17.0,PF,33.0,6-9,220.0,UNLV,1635476.0
32,Thanasis Antetokounmpo,New York Knicks,43.0,SF,23.0,6-7,205.0,,30888.0
33,Carmelo Anthony,New York Knicks,7.0,SF,32.0,6-8,240.0,Syracuse,22875000.0
34,Jose Calderon,New York Knicks,3.0,PG,34.0,6-3,200.0,,7402812.0
35,Cleanthony Early,New York Knicks,11.0,SF,25.0,6-8,210.0,Wichita State,845059.0
36,Langston Galloway,New York Knicks,2.0,SG,24.0,6-2,200.0,Saint Joseph's,845059.0
37,Jerian Grant,New York Knicks,13.0,PG,23.0,6-4,195.0,Notre Dame,1572360.0
38,Robin Lopez,New York Knicks,8.0,C,28.0,7-0,255.0,Stanford,12650000.0
39,Kyle O'Quinn,New York Knicks,9.0,PF,26.0,6-10,250.0,Norfolk State,3750000.0
40,Kristaps Porzingis,New York Knicks,6.0,PF,20.0,7-3,240.0,,4131720.0
41,Kevin Seraphin,New York Knicks,1.0,C,26.0,6-10,278.0,,2814000.0
42,Lance Thomas,New York Knicks,42.0,SF,28.0,6-8,235.0,Duke,1636842.0
43,Sasha Vujacic,New York Knicks,18.0,SG,32.0,6-7,195.0,,947276.0
44,Derrick Williams,New York Knicks,23.0,PF,25.0,6-8,240.0,Arizona,4000000.0
45,Tony Wroten,New York Knicks,5.0,SG,23.0,6-6,205.0,Washington,167406.0
46,Elton Brand,Philadelphia 76ers,42.0,PF,37.0,6-9,254.0,Duke,0.0
47,Isaiah Canaan,Philadelphia 76ers,0.0,PG,25.0,6-0,201.0,Murray State,947276.0
48,Robert Covington,Philadelphia 76ers,33.0,SF,25.0,6-9,215.0,Tennessee State,1000000.0
49,Joel Embiid,Philadelphia 76ers,21.0,C,22.0,7-0,250.0,Kansas,4626960.0
50,Jerami Grant,Philadelphia 76ers,39.0,SF,22.0,6-8,210.0,Syracuse,845059.0
51,Richaun Holmes,Philadelphia 76ers,22.0,PF,22.0,6-10,245.0,Bowling Green,1074169.0
52,Carl Landry,Philadelphia 76ers,7.0,PF,32.0,6-9,248.0,Purdue,6500000.0
53,Kendall Marshall,Philadelphia 76ers,5.0,PG,24.0,6-4,200.0,North Carolina,2144772.0
54,T.J. McConnell,Philadelphia 76ers,12.0,PG,24.0,6-2,200.0,Arizona,525093.0
55,Nerlens Noel,Philadelphia 76ers,4.0,PF,22.0,6-11,228.0,Kentucky,3457800.0
56,Jahlil Okafor,Philadelphia 76ers,8.0,C,20.0,6-11,275.0,Duke,4582680.0
57,Ish Smith,Philadelphia 76ers,1.0,PG,27.0,6-0,175.0,Wake Forest,947276.0
58,Nik Stauskas,Philadelphia 76ers,11.0,SG,22.0,6-6,205.0,Michigan,2869440.0
59,Hollis Thompson,Philadelphia 76ers,31.0,SG,25.0,6-8,206.0,Georgetown,947276.0
60,Christian Wood,Philadelphia 76ers,35.0,PF,20.0,6-11,220.0,UNLV,525093.0
61,Bismack Biyombo,Toronto Raptors,8.0,C,23.0,6-9,245.0,,2814000.0
62,Bruno Caboclo,Toronto Raptors,20.0,SF,20.0,6-9,205.0,,1524000.0
63,DeMarre Carroll,Toronto Raptors,5.0,SF,29.0,6-8,212.0,Missouri,13600000.0
64,DeMar DeRozan,Toronto Raptors,10.0,SG,26.0,6-7,220.0,USC,10050000.0
65,James Johnson,Toronto Raptors,3.0,PF,29.0,6-9,250.0,Wake Forest,2500000.0
66,Cory Joseph,Toronto Raptors,6.0,PG,24.0,6-3,190.0,Texas,7000000.0
67,Kyle Lowry,Toronto Raptors,7.0,PG,30.0,6-0,205.0,Villanova,12000000.0
68,Lucas Nogueira,Toronto Raptors,92.0,C,23.0,7-0,220.0,,1842000.0
69,Patrick Patterson,Toronto Raptors,54.0,PF,27.0,6-9,235.0,Kentucky,6268675.0
70,Norman Powell,Toronto Raptors,24.0,SG,23.0,6-4,215.0,UCLA,650000.0
71,Terrence Ross,Toronto Raptors,31.0,SF,25.0,6-7,195.0,Washington,3553917.0
72,Luis Scola,Toronto Raptors,4.0,PF,36.0,6-9,240.0,,2900000.0
73,Jason Thompson,Toronto Raptors,1.0,PF,29.0,6-11,250.0,Rider,245177.0
74,Jonas Valanciunas,Toronto Raptors,17.0,C,24.0,7-0,255.0,,4660482.0
75,Delon Wright,Toronto Raptors,55.0,PG,24.0,6-5,190.0,Utah,1509360.0
76,Leandro Barbosa,Golden State Warriors,19.0,SG,33.0,6-3,194.0,,2500000.0
77,Harrison Barnes,Golden State Warriors,40.0,SF,24.0,6-8,225.0,North Carolina,3873398.0
78,Andrew Bogut,Golden State Warriors,12.0,C,31.0,7-0,260.0,Utah,13800000.0
79,Ian Clark,Golden State Warriors,21.0,SG,25.0,6-3,175.0,Belmont,947276.0
80,Stephen Curry,Golden State Warriors,30.0,PG,28.0,6-3,190.0,Davidson,11370786.0
81,Festus Ezeli,Golden State Warriors,31.0,C,26.0,6-11,265.0,Vanderbilt,2008748.0
82,Draymond Green,Golden State Warriors,23.0,PF,26.0,6-7,230.0,Michigan State,14260870.0
83,Andre Iguodala,Golden State Warriors,9.0,SF,32.0,6-6,215.0,Arizona,11710456.0
84,Shaun Livingston,Golden State Warriors,34.0,PG,30.0,6-7,192.0,,5543725.0
85,Kevon Looney,Golden State Warriors,36.0,SF,20.0,6-9,220.0,UCLA,1131960.0
86,James Michael McAdoo,Golden State Warriors,20.0,SF,23.0,6-9,240.0,North Carolina,845059.0
87,Brandon Rush,Golden State Warriors,4.0,SF,30.0,6-6,220.0,Kansas,1270964.0
88,Marreese Speights,Golden State Warriors,5.0,C,28.0,6-10,255.0,Florida,3815000.0
89,Klay Thompson,Golden State Warriors,11.0,SG,26.0,6-7,215.0,Washington State,15501000.0
90,Anderson Varejao,Golden State Warriors,18.0,PF,33.0,6-11,273.0,,289755.0
91,Cole Aldrich,Los Angeles Clippers,45.0,C,27.0,6-11,250.0,Kansas,1100602.0
92,Jeff Ayres,Los Angeles Clippers,19.0,PF,29.0,6-9,250.0,Arizona State,111444.0
93,Jamal Crawford,Los Angeles Clippers,11.0,SG,36.0,6-5,195.0,Michigan,5675000.0
94,Branden Dawson,Los Angeles Clippers,22.0,SF,23.0,6-6,225.0,Michigan State,525093.0
95,Jeff Green,Los Angeles Clippers,8.0,SF,29.0,6-9,235.0,Georgetown,9650000.0
96,Blake Griffin,Los Angeles Clippers,32.0,PF,27.0,6-10,251.0,Oklahoma,18907726.0
97,Wesley Johnson,Los Angeles Clippers,33.0,SF,28.0,6-7,215.0,Syracuse,1100602.0
98,DeAndre Jordan,Los Angeles Clippers,6.0,C,27.0,6-11,265.0,Texas A&M,19689000.0
99,Luc Richard Mbah a Moute,Los Angeles Clippers,12.0,PF,29.0,6-8,230.0,UCLA,947276.0
100,Chris Paul,Los Angeles Clippers,3.0,PG,31.0,6-0,175.0,Wake Forest,21468695.0
101,Paul Pierce,Los Angeles Clippers,34.0,SF,38.0,6-7,235.0,Kansas,3376000.0
102,Pablo Prigioni,Los Angeles Clippers,9.0,PG,39.0,6-3,185.0,,947726.0
103,JJ Redick,Los Angeles Clippers,4.0,SG,31.0,6-4,190.0,Duke,7085000.0
104,Austin Rivers,Los Angeles Clippers,25.0,PG,23.0,6-4,200.0,Duke,3110796.0
105,C.J. Wilcox,Los Angeles Clippers,30.0,SG,25.0,6-5,195.0,Washington,1159680.0
106,Brandon Bass,Los Angeles Lakers,2.0,PF,31.0,6-8,250.0,LSU,3000000.0
107,Tarik Black,Los Angeles Lakers,28.0,C,24.0,6-9,250.0,Kansas,845059.0
108,Anthony Brown,Los Angeles Lakers,3.0,SF,23.0,6-7,210.0,Stanford,700000.0
109,Kobe Bryant,Los Angeles Lakers,24.0,SF,37.0,6-6,212.0,,25000000.0
110,Jordan Clarkson,Los Angeles Lakers,6.0,PG,24.0,6-5,194.0,Missouri,845059.0
111,Roy Hibbert,Los Angeles Lakers,17.0,C,29.0,7-2,270.0,Georgetown,15592217.0
112,Marcelo Huertas,Los Angeles Lakers,9.0,PG,33.0,6-3,200.0,,525093.0
113,Ryan Kelly,Los Angeles Lakers,4.0,PF,25.0,6-11,230.0,Duke,1724250.0
114,Larry Nance Jr.,Los Angeles Lakers,7.0,PF,23.0,6-9,230.0,Wyoming,1155600.0
115,Julius Randle,Los Angeles Lakers,30.0,PF,21.0,6-9,250.0,Kentucky,3132240.0
116,D'Angelo Russell,Los Angeles Lakers,1.0,PG,20.0,6-5,195.0,Ohio State,5103120.0
117,Robert Sacre,Los Angeles Lakers,50.0,C,27.0,7-0,270.0,Gonzaga,981348.0
118,Louis Williams,Los Angeles Lakers,23.0,SG,29.0,6-1,175.0,,7000000.0
119,Metta World Peace,Los Angeles Lakers,37.0,SF,36.0,6-7,260.0,St. John's,947276.0
120,Nick Young,Los Angeles Lakers,0.0,SF,31.0,6-7,210.0,USC,5219169.0
121,Eric Bledsoe,Phoenix Suns,2.0,PG,26.0,6-1,190.0,Kentucky,13500000.0
122,Devin Booker,Phoenix Suns,1.0,SG,19.0,6-6,206.0,Kentucky,2127840.0
123,Chase Budinger,Phoenix Suns,10.0,SF,28.0,6-7,209.0,Arizona,206192.0
124,Tyson Chandler,Phoenix Suns,4.0,C,33.0,7-1,240.0,,13000000.0
125,Archie Goodwin,Phoenix Suns,20.0,SG,21.0,6-5,200.0,Kentucky,1160160.0
126,John Jenkins,Phoenix Suns,23.0,SG,25.0,6-4,215.0,Vanderbilt,981348.0
127,Brandon Knight,Phoenix Suns,3.0,PG,24.0,6-3,189.0,Kentucky,13500000.0
128,Alex Len,Phoenix Suns,21.0,C,22.0,7-1,260.0,Maryland,3807120.0
129,Jon Leuer,Phoenix Suns,30.0,PF,27.0,6-10,228.0,Wisconsin,1035000.0
130,Phil Pressey,Phoenix Suns,25.0,PG,25.0,5-11,175.0,Missouri,55722.0
131,Ronnie Price,Phoenix Suns,14.0,PG,32.0,6-2,190.0,Utah Valley,947276.0
132,Mirza Teletovic,Phoenix Suns,35.0,PF,30.0,6-9,242.0,,5500000.0
133,P.J. Tucker,Phoenix Suns,17.0,SF,31.0,6-6,245.0,Texas,5500000.0
134,T.J. Warren,Phoenix Suns,12.0,SF,22.0,6-8,230.0,North Carolina State,2041080.0
135,Alan Williams,Phoenix Suns,15.0,C,23.0,6-8,260.0,UC Santa Barbara,83397.0
136,Quincy Acy,Sacramento Kings,13.0,SF,25.0,6-7,240.0,Baylor,981348.0
137,James Anderson,Sacramento Kings,5.0,SG,27.0,6-6,213.0,Oklahoma State,1015421.0
138,Marco Belinelli,Sacramento Kings,3.0,SG,30.0,6-5,210.0,,6060606.0
139,Caron Butler,Sacramento Kings,31.0,SF,36.0,6-7,228.0,Connecticut,1449187.0
140,Omri Casspi,Sacramento Kings,18.0,SF,27.0,6-9,225.0,,2836186.0
141,Willie Cauley-Stein,Sacramento Kings,0.0,C,22.0,7-0,240.0,Kentucky,3398280.0
142,Darren Collison,Sacramento Kings,7.0,PG,28.0,6-0,175.0,UCLA,5013559.0
143,DeMarcus Cousins,Sacramento Kings,15.0,C,25.0,6-11,270.0,Kentucky,15851950.0
144,Seth Curry,Sacramento Kings,30.0,SG,25.0,6-2,185.0,Duke,947276.0
145,Duje Dukan,Sacramento Kings,26.0,PF,24.0,6-9,220.0,Wisconsin,525093.0
146,Rudy Gay,Sacramento Kings,8.0,SF,29.0,6-8,230.0,Connecticut,12403101.0
147,Kosta Koufos,Sacramento Kings,41.0,C,27.0,7-0,265.0,Ohio State,7700000.0
148,Ben McLemore,Sacramento Kings,23.0,SG,23.0,6-5,195.0,Kansas,3156600.0
149,Eric Moreland,Sacramento Kings,25.0,PF,24.0,6-10,238.0,Oregon State,845059.0
150,Rajon Rondo,Sacramento Kings,9.0,PG,30.0,6-1,186.0,Kentucky,9500000.0
151,Cameron Bairstow,Chicago Bulls,41.0,PF,25.0,6-9,250.0,New Mexico,845059.0
152,Aaron Brooks,Chicago Bulls,0.0,PG,31.0,6-0,161.0,Oregon,2250000.0
153,Jimmy Butler,Chicago Bulls,21.0,SG,26.0,6-7,220.0,Marquette,16407500.0
154,Mike Dunleavy,Chicago Bulls,34.0,SG,35.0,6-9,230.0,Duke,4500000.0
155,Cristiano Felicio,Chicago Bulls,6.0,PF,23.0,6-10,275.0,,525093.0
156,Pau Gasol,Chicago Bulls,16.0,C,35.0,7-0,250.0,,7448760.0
157,Taj Gibson,Chicago Bulls,22.0,PF,30.0,6-9,225.0,USC,8500000.0
158,Justin Holiday,Chicago Bulls,7.0,SG,27.0,6-6,185.0,Washington,947276.0
159,Doug McDermott,Chicago Bulls,3.0,SF,24.0,6-8,225.0,Creighton,2380440.0
160,Nikola Mirotic,Chicago Bulls,44.0,PF,25.0,6-10,220.0,,5543725.0
161,E'Twaun Moore,Chicago Bulls,55.0,SG,27.0,6-4,191.0,Purdue,1015421.0
162,Joakim Noah,Chicago Bulls,13.0,C,31.0,6-11,232.0,Florida,13400000.0
163,Bobby Portis,Chicago Bulls,5.0,PF,21.0,6-11,230.0,Arkansas,1391160.0
164,Derrick Rose,Chicago Bulls,1.0,PG,27.0,6-3,190.0,Memphis,20093064.0
165,Tony Snell,Chicago Bulls,20.0,SF,24.0,6-7,200.0,New Mexico,1535880.0
166,Matthew Dellavedova,Cleveland Cavaliers,8.0,PG,25.0,6-4,198.0,Saint Mary's,1147276.0
167,Channing Frye,Cleveland Cavaliers,9.0,PF,33.0,6-11,255.0,Arizona,8193029.0
168,Kyrie Irving,Cleveland Cavaliers,2.0,PG,24.0,6-3,193.0,Duke,16407501.0
169,LeBron James,Cleveland Cavaliers,23.0,SF,31.0,6-8,250.0,,22970500.0
170,Richard Jefferson,Cleveland Cavaliers,24.0,SF,35.0,6-7,233.0,Arizona,947276.0
171,Dahntay Jones,Cleveland Cavaliers,30.0,SG,35.0,6-6,225.0,Duke,0.0
172,James Jones,Cleveland Cavaliers,1.0,SG,35.0,6-8,218.0,Miami (FL),947276.0
173,Sasha Kaun,Cleveland Cavaliers,14.0,C,31.0,6-11,260.0,Kansas,1276000.0
174,Kevin Love,Cleveland Cavaliers,0.0,PF,27.0,6-10,251.0,UCLA,19689000.0
175,Jordan McRae,Cleveland Cavaliers,12.0,SG,25.0,6-5,179.0,Tennessee,111196.0
176,Timofey Mozgov,Cleveland Cavaliers,20.0,C,29.0,7-1,275.0,,4950000.0
177,Iman Shumpert,Cleveland Cavaliers,4.0,SG,25.0,6-5,220.0,Georgia Tech,8988765.0
178,J.R. Smith,Cleveland Cavaliers,5.0,SG,30.0,6-6,225.0,,5000000.0
179,Tristan Thompson,Cleveland Cavaliers,13.0,C,25.0,6-9,238.0,Texas,14260870.0
180,Mo Williams,Cleveland Cavaliers,52.0,PG,33.0,6-1,198.0,Alabama,2100000.0
181,Joel Anthony,Detroit Pistons,50.0,C,33.0,6-9,245.0,UNLV,2500000.0
182,Aron Baynes,Detroit Pistons,12.0,C,29.0,6-10,260.0,Washington State,6500000.0
183,Steve Blake,Detroit Pistons,22.0,PG,36.0,6-3,172.0,Maryland,2170465.0
184,Lorenzo Brown,Detroit Pistons,17.0,PG,25.0,6-5,189.0,North Carolina State,111444.0
185,Reggie Bullock,Detroit Pistons,25.0,SF,25.0,6-7,205.0,North Carolina,1252440.0
186,Kentavious Caldwell-Pope,Detroit Pistons,5.0,SG,23.0,6-5,205.0,Georgia,2891760.0
187,Spencer Dinwiddie,Detroit Pistons,8.0,PG,23.0,6-6,200.0,Colorado,845059.0
188,Andre Drummond,Detroit Pistons,0.0,C,22.0,6-11,279.0,Connecticut,3272091.0
189,Tobias Harris,Detroit Pistons,34.0,SF,23.0,6-9,235.0,Tennessee,16000000.0
190,Darrun Hilliard,Detroit Pistons,6.0,SF,23.0,6-6,205.0,Villanova,600000.0
191,Reggie Jackson,Detroit Pistons,1.0,PG,26.0,6-3,208.0,Boston College,13913044.0
192,Stanley Johnson,Detroit Pistons,3.0,SF,20.0,6-7,245.0,Arizona,2841960.0
193,Jodie Meeks,Detroit Pistons,20.0,SG,28.0,6-4,210.0,Kentucky,6270000.0
194,Marcus Morris,Detroit Pistons,13.0,PF,26.0,6-9,235.0,Kansas,5000000.0
195,Anthony Tolliver,Detroit Pistons,43.0,PF,31.0,6-8,240.0,Creighton,3000000.0
196,Lavoy Allen,Indiana Pacers,5.0,PF,27.0,6-9,255.0,Temple,4050000.0
197,Rakeem Christmas,Indiana Pacers,25.0,PF,24.0,6-9,250.0,Syracuse,1007026.0
198,Monta Ellis,Indiana Pacers,11.0,SG,30.0,6-3,185.0,,10300000.0
199,Paul George,Indiana Pacers,13.0,SF,26.0,6-9,220.0,Fresno State,17120106.0
200,George Hill,Indiana Pacers,3.0,PG,30.0,6-3,188.0,IUPUI,8000000.0
201,Jordan Hill,Indiana Pacers,27.0,C,28.0,6-10,235.0,Arizona,4000000.0
202,Solomon Hill,Indiana Pacers,44.0,SF,25.0,6-7,225.0,Arizona,1358880.0
203,Ty Lawson,Indiana Pacers,10.0,PG,28.0,5-11,195.0,North Carolina,211744.0
204,Ian Mahinmi,Indiana Pacers,28.0,C,29.0,6-11,250.0,,4000000.0
205,C.J. Miles,Indiana Pacers,0.0,SF,29.0,6-6,231.0,,4394225.0
206,Glenn Robinson III,Indiana Pacers,40.0,SG,22.0,6-7,222.0,Michigan,1100000.0
207,Rodney Stuckey,Indiana Pacers,2.0,PG,30.0,6-5,205.0,Eastern Washington,7000000.0
208,Myles Turner,Indiana Pacers,33.0,PF,20.0,6-11,243.0,Texas,2357760.0
209,Shayne Whittington,Indiana Pacers,42.0,PF,25.0,6-11,250.0,Western Michigan,845059.0
210,Joe Young,Indiana Pacers,1.0,PG,23.0,6-2,180.0,Oregon,1007026.0
211,Giannis Antetokounmpo,Milwaukee Bucks,34.0,SF,21.0,6-11,222.0,,1953960.0
212,Jerryd Bayless,Milwaukee Bucks,19.0,PG,27.0,6-3,200.0,Arizona,3000000.0
213,Michael Carter-Williams,Milwaukee Bucks,5.0,PG,24.0,6-6,190.0,Syracuse,2399040.0
214,Jared Cunningham,Milwaukee Bucks,9.0,SG,25.0,6-4,195.0,Oregon State,947276.0
215,Tyler Ennis,Milwaukee Bucks,11.0,PG,21.0,6-3,194.0,Syracuse,1662360.0
216,John Henson,Milwaukee Bucks,31.0,PF,25.0,6-11,229.0,North Carolina,2943221.0
217,Damien Inglis,Milwaukee Bucks,17.0,SF,21.0,6-8,246.0,,855000.0
218,O.J. Mayo,Milwaukee Bucks,3.0,SG,28.0,6-5,210.0,USC,8000000.0
219,Khris Middleton,Milwaukee Bucks,22.0,SG,24.0,6-8,234.0,Texas A&M,14700000.0
220,Greg Monroe,Milwaukee Bucks,15.0,C,26.0,6-11,265.0,Georgetown,16407500.0
221,Steve Novak,Milwaukee Bucks,6.0,SF,32.0,6-10,225.0,Marquette,295327.0
222,Johnny O'Bryant III,Milwaukee Bucks,77.0,PF,23.0,6-9,257.0,LSU,845059.0
223,Jabari Parker,Milwaukee Bucks,12.0,PF,21.0,6-8,250.0,Duke,5152440.0
224,Miles Plumlee,Milwaukee Bucks,18.0,C,27.0,6-11,249.0,Duke,2109294.0
225,Greivis Vasquez,Milwaukee Bucks,21.0,PG,29.0,6-6,217.0,Maryland,6600000.0
226,Rashad Vaughn,Milwaukee Bucks,20.0,SG,19.0,6-6,202.0,UNLV,1733040.0
227,Justin Anderson,Dallas Mavericks,1.0,SG,22.0,6-6,228.0,Virginia,1449000.0
228,J.J. Barea,Dallas Mavericks,5.0,PG,31.0,6-0,185.0,Northeastern,4290000.0
229,Jeremy Evans,Dallas Mavericks,21.0,SF,28.0,6-9,200.0,Western Kentucky,1100602.0
230,Raymond Felton,Dallas Mavericks,2.0,PG,31.0,6-1,205.0,North Carolina,3950313.0
231,Devin Harris,Dallas Mavericks,34.0,PG,33.0,6-3,185.0,Wisconsin,4053446.0
232,David Lee,Dallas Mavericks,42.0,PF,33.0,6-9,245.0,Florida,2085671.0
233,Wesley Matthews,Dallas Mavericks,23.0,SG,29.0,6-5,220.0,Marquette,16407500.0
234,JaVale McGee,Dallas Mavericks,11.0,C,28.0,7-0,270.0,Nevada,1270964.0
235,Salah Mejri,Dallas Mavericks,50.0,C,29.0,7-2,245.0,,525093.0
236,Dirk Nowitzki,Dallas Mavericks,41.0,PF,37.0,7-0,245.0,,8333334.0
237,Zaza Pachulia,Dallas Mavericks,27.0,C,32.0,6-11,275.0,,5200000.0
238,Chandler Parsons,Dallas Mavericks,25.0,SF,27.0,6-10,230.0,Florida,15361500.0
239,Dwight Powell,Dallas Mavericks,7.0,PF,24.0,6-11,240.0,Stanford,845059.0
240,Charlie Villanueva,Dallas Mavericks,3.0,PF,31.0,6-11,232.0,Connecticut,947276.0
241,Deron Williams,Dallas Mavericks,8.0,PG,31.0,6-3,200.0,Illinois,5378974.0
242,Trevor Ariza,Houston Rockets,1.0,SF,30.0,6-8,215.0,UCLA,8193030.0
243,Michael Beasley,Houston Rockets,8.0,SF,27.0,6-10,235.0,Kansas State,306527.0
244,Patrick Beverley,Houston Rockets,2.0,PG,27.0,6-1,185.0,Arkansas,6486486.0
245,Corey Brewer,Houston Rockets,33.0,SG,30.0,6-9,186.0,Florida,8229375.0
246,Clint Capela,Houston Rockets,15.0,PF,22.0,6-10,240.0,,1242720.0
247,Sam Dekker,Houston Rockets,7.0,SF,22.0,6-9,230.0,Wisconsin,1646400.0
248,Andrew Goudelock,Houston Rockets,0.0,PG,27.0,6-3,200.0,Charleston,200600.0
249,James Harden,Houston Rockets,13.0,SG,26.0,6-5,220.0,Arizona State,15756438.0
250,Montrezl Harrell,Houston Rockets,35.0,PF,22.0,6-8,240.0,Louisville,1000000.0
251,Dwight Howard,Houston Rockets,12.0,C,30.0,6-11,265.0,,22359364.0
252,Terrence Jones,Houston Rockets,6.0,PF,24.0,6-9,252.0,Kentucky,2489530.0
253,K.J. McDaniels,Houston Rockets,32.0,SG,23.0,6-6,205.0,Clemson,3189794.0
254,Donatas Motiejunas,Houston Rockets,20.0,PF,25.0,7-0,222.0,,2288205.0
255,Josh Smith,Houston Rockets,5.0,C,30.0,6-9,225.0,,947276.0
256,Jason Terry,Houston Rockets,31.0,SG,38.0,6-2,185.0,Arizona,947276.0
257,Jordan Adams,Memphis Grizzlies,3.0,SG,21.0,6-5,209.0,UCLA,1404600.0
258,Tony Allen,Memphis Grizzlies,9.0,SG,34.0,6-4,213.0,Oklahoma State,5158539.0
259,Chris Andersen,Memphis Grizzlies,7.0,PF,37.0,6-10,245.0,Blinn College,5000000.0
260,Matt Barnes,Memphis Grizzlies,22.0,SF,36.0,6-7,226.0,UCLA,3542500.0
261,Vince Carter,Memphis Grizzlies,15.0,SG,39.0,6-6,220.0,North Carolina,4088019.0
262,Mike Conley,Memphis Grizzlies,11.0,PG,28.0,6-1,175.0,Ohio State,9588426.0
263,Bryce Cotton,Memphis Grizzlies,8.0,PG,23.0,6-1,165.0,Providence,700902.0
264,Jordan Farmar,Memphis Grizzlies,4.0,PG,29.0,6-2,180.0,UCLA,0.0
265,Marc Gasol,Memphis Grizzlies,33.0,C,31.0,7-1,255.0,,19688000.0
266,JaMychal Green,Memphis Grizzlies,0.0,PF,25.0,6-9,227.0,Alabama,845059.0
267,P.J. Hairston,Memphis Grizzlies,19.0,SF,23.0,6-6,230.0,North Carolina,1201440.0
268,Jarell Martin,Memphis Grizzlies,10.0,PF,22.0,6-10,239.0,LSU,1230840.0
269,Ray McCallum,Memphis Grizzlies,5.0,PG,24.0,6-3,190.0,Detroit,0.0
270,Xavier Munford,Memphis Grizzlies,14.0,PG,24.0,6-3,180.0,Rhode Island,0.0
271,Zach Randolph,Memphis Grizzlies,50.0,PF,34.0,6-9,260.0,Michigan State,9638555.0
272,Lance Stephenson,Memphis Grizzlies,1.0,SF,25.0,6-5,230.0,Cincinnati,9000000.0
273,Alex Stepheson,Memphis Grizzlies,35.0,PF,28.0,6-10,270.0,USC,0.0
274,Brandan Wright,Memphis Grizzlies,34.0,PF,28.0,6-10,210.0,North Carolina,5464000.0
275,Alexis Ajinca,New Orleans Pelicans,42.0,C,28.0,7-2,248.0,,4389607.0
276,Ryan Anderson,New Orleans Pelicans,33.0,PF,28.0,6-10,240.0,California,8500000.0
277,Omer Asik,New Orleans Pelicans,3.0,C,29.0,7-0,255.0,,9213483.0
278,Luke Babbitt,New Orleans Pelicans,8.0,SF,26.0,6-9,225.0,Nevada,1100602.0
279,Norris Cole,New Orleans Pelicans,30.0,PG,27.0,6-2,175.0,Cleveland State,3036927.0
280,Dante Cunningham,New Orleans Pelicans,44.0,PF,29.0,6-8,230.0,Villanova,2850000.0
281,Anthony Davis,New Orleans Pelicans,23.0,PF,23.0,6-10,253.0,Kentucky,7070730.0
282,Bryce Dejean-Jones,New Orleans Pelicans,31.0,SG,23.0,6-6,203.0,Iowa State,169883.0
283,Toney Douglas,New Orleans Pelicans,16.0,PG,30.0,6-2,195.0,Florida State,1164858.0
284,James Ennis,New Orleans Pelicans,4.0,SF,25.0,6-7,210.0,Long Beach State,845059.0
285,Tyreke Evans,New Orleans Pelicans,1.0,SG,26.0,6-6,220.0,Memphis,10734586.0
286,Tim Frazier,New Orleans Pelicans,2.0,PG,25.0,6-1,170.0,Penn State,845059.0
287,Alonzo Gee,New Orleans Pelicans,15.0,SF,29.0,6-6,225.0,Alabama,1320000.0
288,Eric Gordon,New Orleans Pelicans,10.0,SG,27.0,6-4,215.0,Indiana,15514031.0
289,Jordan Hamilton,New Orleans Pelicans,25.0,SG,25.0,6-7,220.0,Texas,1015421.0
290,Jrue Holiday,New Orleans Pelicans,11.0,PG,25.0,6-4,205.0,UCLA,10595507.0
291,Orlando Johnson,New Orleans Pelicans,0.0,SG,27.0,6-5,220.0,UC Santa Barbara,55722.0
292,Kendrick Perkins,New Orleans Pelicans,5.0,C,31.0,6-10,270.0,,947276.0
293,Quincy Pondexter,New Orleans Pelicans,20.0,SF,28.0,6-7,220.0,Washington,3382023.0
294,LaMarcus Aldridge,San Antonio Spurs,12.0,PF,30.0,6-11,240.0,Texas,19689000.0
295,Kyle Anderson,San Antonio Spurs,1.0,SF,22.0,6-9,230.0,UCLA,1142880.0
296,Matt Bonner,San Antonio Spurs,15.0,C,36.0,6-10,235.0,Florida,947276.0
297,Boris Diaw,San Antonio Spurs,33.0,C,34.0,6-8,250.0,,7500000.0
298,Tim Duncan,San Antonio Spurs,21.0,C,40.0,6-11,250.0,Wake Forest,5250000.0
299,Manu Ginobili,San Antonio Spurs,20.0,SG,38.0,6-6,205.0,,2814000.0
300,Danny Green,San Antonio Spurs,14.0,SG,28.0,6-6,215.0,North Carolina,10000000.0
301,Kawhi Leonard,San Antonio Spurs,2.0,SF,24.0,6-7,230.0,San Diego State,16407500.0
302,Boban Marjanovic,San Antonio Spurs,40.0,C,27.0,7-3,290.0,,1200000.0
303,Kevin Martin,San Antonio Spurs,23.0,SG,33.0,6-7,199.0,Western Carolina,200600.0
304,Andre Miller,San Antonio Spurs,24.0,PG,40.0,6-3,200.0,Utah,250750.0
305,Patty Mills,San Antonio Spurs,8.0,PG,27.0,6-0,185.0,Saint Mary's,3578947.0
306,Tony Parker,San Antonio Spurs,9.0,PG,34.0,6-2,185.0,,13437500.0
307,Jonathon Simmons,San Antonio Spurs,17.0,SG,26.0,6-6,195.0,Houston,525093.0
308,David West,San Antonio Spurs,30.0,PF,35.0,6-9,250.0,Xavier,1499187.0
309,Kent Bazemore,Atlanta Hawks,24.0,SF,26.0,6-5,201.0,Old Dominion,2000000.0
310,Tim Hardaway Jr.,Atlanta Hawks,10.0,SG,24.0,6-6,205.0,Michigan,1304520.0
311,Kirk Hinrich,Atlanta Hawks,12.0,SG,35.0,6-4,190.0,Kansas,2854940.0
312,Al Horford,Atlanta Hawks,15.0,C,30.0,6-10,245.0,Florida,12000000.0
313,Kris Humphries,Atlanta Hawks,43.0,PF,31.0,6-9,235.0,Minnesota,1000000.0
314,Kyle Korver,Atlanta Hawks,26.0,SG,35.0,6-7,212.0,Creighton,5746479.0
315,Paul Millsap,Atlanta Hawks,4.0,PF,31.0,6-8,246.0,Louisiana Tech,18671659.0
316,Mike Muscala,Atlanta Hawks,31.0,PF,24.0,6-11,240.0,Bucknell,947276.0
317,Lamar Patterson,Atlanta Hawks,13.0,SG,24.0,6-5,225.0,Pittsburgh,525093.0
318,Dennis Schroder,Atlanta Hawks,17.0,PG,22.0,6-1,172.0,,1763400.0
319,Mike Scott,Atlanta Hawks,32.0,PF,27.0,6-8,237.0,Virginia,3333333.0
320,Thabo Sefolosha,Atlanta Hawks,25.0,SF,32.0,6-7,220.0,,4000000.0
321,Tiago Splitter,Atlanta Hawks,11.0,C,31.0,6-11,245.0,,9756250.0
322,Walter Tavares,Atlanta Hawks,22.0,C,24.0,7-3,260.0,,1000000.0
323,Jeff Teague,Atlanta Hawks,0.0,PG,27.0,6-2,186.0,Wake Forest,8000000.0
324,Nicolas Batum,Charlotte Hornets,5.0,SG,27.0,6-8,200.0,,13125306.0
325,Troy Daniels,Charlotte Hornets,30.0,SG,24.0,6-4,205.0,Virginia Commonwealth,947276.0
326,Jorge Gutierrez,Charlotte Hornets,12.0,PG,27.0,6-3,189.0,California,189455.0
327,Tyler Hansbrough,Charlotte Hornets,50.0,PF,30.0,6-9,250.0,North Carolina,947276.0
328,Aaron Harrison,Charlotte Hornets,9.0,SG,21.0,6-6,210.0,Kentucky,525093.0
329,Spencer Hawes,Charlotte Hornets,0.0,PF,28.0,7-1,245.0,Washington,6110034.0
330,Al Jefferson,Charlotte Hornets,25.0,C,31.0,6-10,289.0,,13500000.0
331,Frank Kaminsky III,Charlotte Hornets,44.0,C,23.0,7-0,240.0,Wisconsin,2612520.0
332,Michael Kidd-Gilchrist,Charlotte Hornets,14.0,SF,22.0,6-7,232.0,Kentucky,6331404.0
333,Jeremy Lamb,Charlotte Hornets,3.0,SG,24.0,6-5,185.0,Connecticut,3034356.0
334,Courtney Lee,Charlotte Hornets,1.0,SG,30.0,6-5,200.0,Western Kentucky,5675000.0
335,Jeremy Lin,Charlotte Hornets,7.0,PG,27.0,6-3,200.0,Harvard,2139000.0
336,Kemba Walker,Charlotte Hornets,15.0,PG,26.0,6-1,184.0,Connecticut,12000000.0
337,Marvin Williams,Charlotte Hornets,2.0,PF,29.0,6-9,237.0,North Carolina,7000000.0
338,Cody Zeller,Charlotte Hornets,40.0,C,23.0,7-0,240.0,Indiana,4204200.0
339,Chris Bosh,Miami Heat,1.0,PF,32.0,6-11,235.0,Georgia Tech,22192730.0
340,Luol Deng,Miami Heat,9.0,SF,31.0,6-9,220.0,Duke,10151612.0
341,Goran Dragic,Miami Heat,7.0,PG,30.0,6-3,190.0,,14783000.0
342,Gerald Green,Miami Heat,14.0,SF,30.0,6-7,205.0,,947276.0
343,Udonis Haslem,Miami Heat,40.0,PF,36.0,6-8,235.0,Florida,2854940.0
344,Joe Johnson,Miami Heat,2.0,SF,34.0,6-7,240.0,Arkansas,261894.0
345,Tyler Johnson,Miami Heat,8.0,SG,24.0,6-4,186.0,Fresno State,845059.0
346,Josh McRoberts,Miami Heat,4.0,PF,29.0,6-10,240.0,Duke,5543725.0
347,Josh Richardson,Miami Heat,0.0,SG,22.0,6-6,200.0,Tennessee,525093.0
348,Amar'e Stoudemire,Miami Heat,5.0,PF,33.0,6-10,245.0,,947276.0
349,Dwyane Wade,Miami Heat,3.0,SG,34.0,6-4,220.0,Marquette,20000000.0
350,Briante Weber,Miami Heat,12.0,PG,23.0,6-2,165.0,Virginia Commonwealth,0.0
351,Hassan Whiteside,Miami Heat,21.0,C,26.0,7-0,265.0,Marshall,981348.0
352,Justise Winslow,Miami Heat,20.0,SF,20.0,6-7,225.0,Duke,2481720.0
353,Dorell Wright,Miami Heat,11.0,SF,30.0,6-9,205.0,,0.0
354,Dewayne Dedmon,Orlando Magic,3.0,C,26.0,7-0,245.0,USC,947276.0
355,Evan Fournier,Orlando Magic,10.0,SG,23.0,6-7,205.0,,2288205.0
356,Aaron Gordon,Orlando Magic,0.0,PF,20.0,6-9,220.0,Arizona,4171680.0
357,Mario Hezonja,Orlando Magic,23.0,SG,21.0,6-8,218.0,,3741480.0
358,Ersan Ilyasova,Orlando Magic,7.0,PF,29.0,6-10,235.0,,7900000.0
359,Brandon Jennings,Orlando Magic,55.0,PG,26.0,6-1,169.0,,8344497.0
360,Devyn Marble,Orlando Magic,11.0,SF,23.0,6-6,200.0,Iowa,845059.0
361,Shabazz Napier,Orlando Magic,13.0,PG,24.0,6-1,175.0,Connecticut,1294440.0
362,Andrew Nicholson,Orlando Magic,44.0,PF,26.0,6-9,250.0,St. Bonaventure,2380593.0
363,Victor Oladipo,Orlando Magic,5.0,SG,24.0,6-4,210.0,Indiana,5192520.0
364,Elfrid Payton,Orlando Magic,4.0,PG,22.0,6-4,185.0,Louisiana-Lafayette,2505720.0
365,Jason Smith,Orlando Magic,14.0,PF,30.0,7-0,240.0,Colorado State,4300000.0
366,Nikola Vucevic,Orlando Magic,9.0,C,25.0,7-0,260.0,USC,11250000.0
367,C.J. Watson,Orlando Magic,32.0,PG,32.0,6-2,175.0,Tennessee,5000000.0
368,Alan Anderson,Washington Wizards,6.0,SG,33.0,6-6,220.0,Michigan State,4000000.0
369,Bradley Beal,Washington Wizards,3.0,SG,22.0,6-5,207.0,Florida,5694674.0
370,Jared Dudley,Washington Wizards,1.0,SF,30.0,6-7,225.0,Boston College,4375000.0
371,Jarell Eddie,Washington Wizards,8.0,SG,24.0,6-7,218.0,Virginia Tech,561716.0
372,Drew Gooden,Washington Wizards,90.0,PF,34.0,6-10,250.0,Kansas,3300000.0
373,Marcin Gortat,Washington Wizards,13.0,C,32.0,6-11,240.0,,11217391.0
374,JJ Hickson,Washington Wizards,21.0,C,27.0,6-9,242.0,North Carolina State,273038.0
375,Nene Hilario,Washington Wizards,42.0,C,33.0,6-11,250.0,,13000000.0
376,Markieff Morris,Washington Wizards,5.0,PF,26.0,6-10,245.0,Kansas,8000000.0
377,Kelly Oubre Jr.,Washington Wizards,12.0,SF,20.0,6-7,205.0,Kansas,1920240.0
378,Otto Porter Jr.,Washington Wizards,22.0,SF,23.0,6-8,198.0,Georgetown,4662960.0
379,Ramon Sessions,Washington Wizards,7.0,PG,30.0,6-3,190.0,Nevada,2170465.0
380,Garrett Temple,Washington Wizards,17.0,SG,30.0,6-6,195.0,LSU,1100602.0
381,Marcus Thornton,Washington Wizards,15.0,SF,29.0,6-4,205.0,LSU,200600.0
382,John Wall,Washington Wizards,2.0,PG,25.0,6-4,195.0,Kentucky,15851950.0
383,Darrell Arthur,Denver Nuggets,0.0,PF,28.0,6-9,235.0,Kansas,2814000.0
384,D.J. Augustin,Denver Nuggets,12.0,PG,28.0,6-0,183.0,Texas,3000000.0
385,Will Barton,Denver Nuggets,5.0,SF,25.0,6-6,175.0,Memphis,3533333.0
386,Wilson Chandler,Denver Nuggets,21.0,SF,29.0,6-8,225.0,DePaul,10449438.0
387,Kenneth Faried,Denver Nuggets,35.0,PF,26.0,6-8,228.0,Morehead State,11235955.0
388,Danilo Gallinari,Denver Nuggets,8.0,SF,27.0,6-10,225.0,,14000000.0
389,Gary Harris,Denver Nuggets,14.0,SG,21.0,6-4,210.0,Michigan State,1584480.0
390,Nikola Jokic,Denver Nuggets,15.0,C,21.0,6-10,250.0,,1300000.0
391,Joffrey Lauvergne,Denver Nuggets,77.0,C,24.0,6-11,220.0,,1709719.0
392,Mike Miller,Denver Nuggets,3.0,SG,36.0,6-8,218.0,Florida,947276.0
393,Emmanuel Mudiay,Denver Nuggets,0.0,PG,20.0,6-5,200.0,,3102240.0
394,Jameer Nelson,Denver Nuggets,1.0,PG,34.0,6-0,190.0,Saint Joseph's,4345000.0
395,Jusuf Nurkic,Denver Nuggets,23.0,C,21.0,7-0,280.0,,1842000.0
396,JaKarr Sampson,Denver Nuggets,9.0,SG,23.0,6-9,214.0,St. John's,258489.0
397,Axel Toupane,Denver Nuggets,6.0,SG,23.0,6-7,210.0,,0.0
398,Nemanja Bjelica,Minnesota Timberwolves,88.0,PF,28.0,6-10,240.0,,3950001.0
399,Gorgui Dieng,Minnesota Timberwolves,5.0,C,26.0,6-11,241.0,Louisville,1474440.0
400,Kevin Garnett,Minnesota Timberwolves,21.0,PF,40.0,6-11,240.0,,8500000.0
401,Tyus Jones,Minnesota Timberwolves,1.0,PG,20.0,6-2,195.0,Duke,1282080.0
402,Zach LaVine,Minnesota Timberwolves,8.0,PG,21.0,6-5,189.0,UCLA,2148360.0
403,Shabazz Muhammad,Minnesota Timberwolves,15.0,SF,23.0,6-6,223.0,UCLA,2056920.0
404,Adreian Payne,Minnesota Timberwolves,33.0,PF,25.0,6-10,237.0,Michigan State,1938840.0
405,Nikola Pekovic,Minnesota Timberwolves,14.0,C,30.0,6-11,307.0,,12100000.0
406,Tayshaun Prince,Minnesota Timberwolves,12.0,SF,36.0,6-9,212.0,Kentucky,947276.0
407,Ricky Rubio,Minnesota Timberwolves,9.0,PG,25.0,6-4,194.0,,12700000.0
408,Damjan Rudez,Minnesota Timberwolves,10.0,SF,29.0,6-9,230.0,,1149500.0
409,Greg Smith,Minnesota Timberwolves,4.0,PF,25.0,6-10,250.0,Fresno State,0.0
410,Karl-Anthony Towns,Minnesota Timberwolves,32.0,C,20.0,7-0,244.0,Kentucky,5703600.0
411,Andrew Wiggins,Minnesota Timberwolves,22.0,SG,21.0,6-8,199.0,Kansas,5758680.0
412,Steven Adams,Oklahoma City Thunder,12.0,C,22.0,7-0,255.0,Pittsburgh,2279040.0
413,Nick Collison,Oklahoma City Thunder,4.0,PF,35.0,6-10,255.0,Kansas,3750000.0
414,Kevin Durant,Oklahoma City Thunder,35.0,SF,27.0,6-9,240.0,Texas,20158622.0
415,Randy Foye,Oklahoma City Thunder,6.0,SG,32.0,6-4,213.0,Villanova,3135000.0
416,Josh Huestis,Oklahoma City Thunder,34.0,SF,24.0,6-7,230.0,Stanford,1140240.0
417,Serge Ibaka,Oklahoma City Thunder,9.0,PF,26.0,6-10,245.0,,12250000.0
418,Enes Kanter,Oklahoma City Thunder,11.0,C,24.0,6-11,245.0,Kentucky,16407500.0
419,Mitch McGary,Oklahoma City Thunder,33.0,PF,24.0,6-10,255.0,Michigan,1463040.0
420,Nazr Mohammed,Oklahoma City Thunder,13.0,C,38.0,6-10,250.0,Kentucky,222888.0
421,Anthony Morrow,Oklahoma City Thunder,2.0,SG,30.0,6-5,210.0,Georgia Tech,3344000.0
422,Cameron Payne,Oklahoma City Thunder,22.0,PG,21.0,6-3,185.0,Murray State,2021520.0
423,Andre Roberson,Oklahoma City Thunder,21.0,SG,24.0,6-7,210.0,Colorado,1210800.0
424,Kyle Singler,Oklahoma City Thunder,5.0,SF,28.0,6-8,228.0,Duke,4500000.0
425,Dion Waiters,Oklahoma City Thunder,3.0,SG,24.0,6-4,220.0,Syracuse,5138430.0
426,Russell Westbrook,Oklahoma City Thunder,0.0,PG,27.0,6-3,200.0,UCLA,16744218.0
427,Cliff Alexander,Portland Trail Blazers,34.0,PF,20.0,6-8,240.0,Kansas,525093.0
428,Al-Farouq Aminu,Portland Trail Blazers,8.0,SF,25.0,6-9,215.0,Wake Forest,8042895.0
429,Pat Connaughton,Portland Trail Blazers,5.0,SG,23.0,6-5,206.0,Notre Dame,625093.0
430,Allen Crabbe,Portland Trail Blazers,23.0,SG,24.0,6-6,210.0,California,947276.0
431,Ed Davis,Portland Trail Blazers,17.0,C,27.0,6-10,240.0,North Carolina,6980802.0
432,Maurice Harkless,Portland Trail Blazers,4.0,SF,23.0,6-9,215.0,St. John's,2894059.0
433,Gerald Henderson,Portland Trail Blazers,9.0,SG,28.0,6-5,215.0,Duke,6000000.0
434,Chris Kaman,Portland Trail Blazers,35.0,C,34.0,7-0,265.0,Central Michigan,5016000.0
435,Meyers Leonard,Portland Trail Blazers,11.0,PF,24.0,7-1,245.0,Illinois,3075880.0
436,Damian Lillard,Portland Trail Blazers,0.0,PG,25.0,6-3,195.0,Weber State,4236287.0
437,C.J. McCollum,Portland Trail Blazers,3.0,SG,24.0,6-4,200.0,Lehigh,2525160.0
438,Luis Montero,Portland Trail Blazers,44.0,SG,23.0,6-7,185.0,Westchester CC,525093.0
439,Mason Plumlee,Portland Trail Blazers,24.0,C,26.0,6-11,235.0,Duke,1415520.0
440,Brian Roberts,Portland Trail Blazers,2.0,PG,30.0,6-1,173.0,Dayton,2854940.0
441,Noah Vonleh,Portland Trail Blazers,21.0,PF,20.0,6-9,240.0,Indiana,2637720.0
442,Trevor Booker,Utah Jazz,33.0,PF,28.0,6-8,228.0,Clemson,4775000.0
443,Trey Burke,Utah Jazz,3.0,PG,23.0,6-1,191.0,Michigan,2658240.0
444,Alec Burks,Utah Jazz,10.0,SG,24.0,6-6,214.0,Colorado,9463484.0
445,Dante Exum,Utah Jazz,11.0,PG,20.0,6-6,190.0,,3777720.0
446,Derrick Favors,Utah Jazz,15.0,PF,24.0,6-10,265.0,Georgia Tech,12000000.0
447,Rudy Gobert,Utah Jazz,27.0,C,23.0,7-1,245.0,,1175880.0
448,Gordon Hayward,Utah Jazz,20.0,SF,26.0,6-8,226.0,Butler,15409570.0
449,Rodney Hood,Utah Jazz,5.0,SG,23.0,6-8,206.0,Duke,1348440.0
450,Joe Ingles,Utah Jazz,2.0,SF,28.0,6-8,226.0,,2050000.0
451,Chris Johnson,Utah Jazz,23.0,SF,26.0,6-6,206.0,Dayton,981348.0
452,Trey Lyles,Utah Jazz,41.0,PF,20.0,6-10,234.0,Kentucky,2239800.0
453,Shelvin Mack,Utah Jazz,8.0,PG,26.0,6-3,203.0,Butler,2433333.0
454,Raul Neto,Utah Jazz,25.0,PG,24.0,6-1,179.0,,900000.0
455,Tibor Pleiss,Utah Jazz,21.0,C,26.0,7-3,256.0,,2900000.0
456,Jeff Withey,Utah Jazz,24.0,C,26.0,7-0,231.0,Kansas,947276.0
jupyter/pliki/nba.csv 0 → 100644
Name,Team,Number,Position,Age,Height,Weight,College,Salary
Avery Bradley,Boston Celtics,0.0,PG,25.0,6-2,180.0,Texas,7730337.0
Jae Crowder,Boston Celtics,99.0,SF,25.0,6-6,235.0,Marquette,6796117.0
John Holland,Boston Celtics,30.0,SG,27.0,6-5,205.0,Boston University,
R.J. Hunter,Boston Celtics,28.0,SG,22.0,6-5,185.0,Georgia State,1148640.0
Jonas Jerebko,Boston Celtics,8.0,PF,29.0,6-10,231.0,,5000000.0
Amir Johnson,Boston Celtics,90.0,PF,29.0,6-9,240.0,,12000000.0
Jordan Mickey,Boston Celtics,55.0,PF,21.0,6-8,235.0,LSU,1170960.0
Kelly Olynyk,Boston Celtics,41.0,C,25.0,7-0,238.0,Gonzaga,2165160.0
Terry Rozier,Boston Celtics,12.0,PG,22.0,6-2,190.0,Louisville,1824360.0
Marcus Smart,Boston Celtics,36.0,PG,22.0,6-4,220.0,Oklahoma State,3431040.0
Jared Sullinger,Boston Celtics,7.0,C,24.0,6-9,260.0,Ohio State,2569260.0
Isaiah Thomas,Boston Celtics,4.0,PG,27.0,5-9,185.0,Washington,6912869.0
Evan Turner,Boston Celtics,11.0,SG,27.0,6-7,220.0,Ohio State,3425510.0
James Young,Boston Celtics,13.0,SG,20.0,6-6,215.0,Kentucky,1749840.0
Tyler Zeller,Boston Celtics,44.0,C,26.0,7-0,253.0,North Carolina,2616975.0
Bojan Bogdanovic,Brooklyn Nets,44.0,SG,27.0,6-8,216.0,,3425510.0
Markel Brown,Brooklyn Nets,22.0,SG,24.0,6-3,190.0,Oklahoma State,845059.0
Wayne Ellington,Brooklyn Nets,21.0,SG,28.0,6-4,200.0,North Carolina,1500000.0
Rondae Hollis-Jefferson,Brooklyn Nets,24.0,SG,21.0,6-7,220.0,Arizona,1335480.0
Jarrett Jack,Brooklyn Nets,2.0,PG,32.0,6-3,200.0,Georgia Tech,6300000.0
Sergey Karasev,Brooklyn Nets,10.0,SG,22.0,6-7,208.0,,1599840.0
Sean Kilpatrick,Brooklyn Nets,6.0,SG,26.0,6-4,219.0,Cincinnati,134215.0
Shane Larkin,Brooklyn Nets,0.0,PG,23.0,5-11,175.0,Miami (FL),1500000.0
Brook Lopez,Brooklyn Nets,11.0,C,28.0,7-0,275.0,Stanford,19689000.0
Chris McCullough,Brooklyn Nets,1.0,PF,21.0,6-11,200.0,Syracuse,1140240.0
Willie Reed,Brooklyn Nets,33.0,PF,26.0,6-10,220.0,Saint Louis,947276.0
Thomas Robinson,Brooklyn Nets,41.0,PF,25.0,6-10,237.0,Kansas,981348.0
Henry Sims,Brooklyn Nets,14.0,C,26.0,6-10,248.0,Georgetown,947276.0
Donald Sloan,Brooklyn Nets,15.0,PG,28.0,6-3,205.0,Texas A&M,947276.0
Thaddeus Young,Brooklyn Nets,30.0,PF,27.0,6-8,221.0,Georgia Tech,11235955.0
Arron Afflalo,New York Knicks,4.0,SG,30.0,6-5,210.0,UCLA,8000000.0
Lou Amundson,New York Knicks,17.0,PF,33.0,6-9,220.0,UNLV,1635476.0
Thanasis Antetokounmpo,New York Knicks,43.0,SF,23.0,6-7,205.0,,30888.0
Carmelo Anthony,New York Knicks,7.0,SF,32.0,6-8,240.0,Syracuse,22875000.0
Jose Calderon,New York Knicks,3.0,PG,34.0,6-3,200.0,,7402812.0
Cleanthony Early,New York Knicks,11.0,SF,25.0,6-8,210.0,Wichita State,845059.0
Langston Galloway,New York Knicks,2.0,SG,24.0,6-2,200.0,Saint Joseph's,845059.0
Jerian Grant,New York Knicks,13.0,PG,23.0,6-4,195.0,Notre Dame,1572360.0
Robin Lopez,New York Knicks,8.0,C,28.0,7-0,255.0,Stanford,12650000.0
Kyle O'Quinn,New York Knicks,9.0,PF,26.0,6-10,250.0,Norfolk State,3750000.0
Kristaps Porzingis,New York Knicks,6.0,PF,20.0,7-3,240.0,,4131720.0
Kevin Seraphin,New York Knicks,1.0,C,26.0,6-10,278.0,,2814000.0
Lance Thomas,New York Knicks,42.0,SF,28.0,6-8,235.0,Duke,1636842.0
Sasha Vujacic,New York Knicks,18.0,SG,32.0,6-7,195.0,,947276.0
Derrick Williams,New York Knicks,23.0,PF,25.0,6-8,240.0,Arizona,4000000.0
Tony Wroten,New York Knicks,5.0,SG,23.0,6-6,205.0,Washington,167406.0
Elton Brand,Philadelphia 76ers,42.0,PF,37.0,6-9,254.0,Duke,
Isaiah Canaan,Philadelphia 76ers,0.0,PG,25.0,6-0,201.0,Murray State,947276.0
Robert Covington,Philadelphia 76ers,33.0,SF,25.0,6-9,215.0,Tennessee State,1000000.0
Joel Embiid,Philadelphia 76ers,21.0,C,22.0,7-0,250.0,Kansas,4626960.0
Jerami Grant,Philadelphia 76ers,39.0,SF,22.0,6-8,210.0,Syracuse,845059.0
Richaun Holmes,Philadelphia 76ers,22.0,PF,22.0,6-10,245.0,Bowling Green,1074169.0
Carl Landry,Philadelphia 76ers,7.0,PF,32.0,6-9,248.0,Purdue,6500000.0
Kendall Marshall,Philadelphia 76ers,5.0,PG,24.0,6-4,200.0,North Carolina,2144772.0
T.J. McConnell,Philadelphia 76ers,12.0,PG,24.0,6-2,200.0,Arizona,525093.0
Nerlens Noel,Philadelphia 76ers,4.0,PF,22.0,6-11,228.0,Kentucky,3457800.0
Jahlil Okafor,Philadelphia 76ers,8.0,C,20.0,6-11,275.0,Duke,4582680.0
Ish Smith,Philadelphia 76ers,1.0,PG,27.0,6-0,175.0,Wake Forest,947276.0
Nik Stauskas,Philadelphia 76ers,11.0,SG,22.0,6-6,205.0,Michigan,2869440.0
Hollis Thompson,Philadelphia 76ers,31.0,SG,25.0,6-8,206.0,Georgetown,947276.0
Christian Wood,Philadelphia 76ers,35.0,PF,20.0,6-11,220.0,UNLV,525093.0
Bismack Biyombo,Toronto Raptors,8.0,C,23.0,6-9,245.0,,2814000.0
Bruno Caboclo,Toronto Raptors,20.0,SF,20.0,6-9,205.0,,1524000.0
DeMarre Carroll,Toronto Raptors,5.0,SF,29.0,6-8,212.0,Missouri,13600000.0
DeMar DeRozan,Toronto Raptors,10.0,SG,26.0,6-7,220.0,USC,10050000.0
James Johnson,Toronto Raptors,3.0,PF,29.0,6-9,250.0,Wake Forest,2500000.0
Cory Joseph,Toronto Raptors,6.0,PG,24.0,6-3,190.0,Texas,7000000.0
Kyle Lowry,Toronto Raptors,7.0,PG,30.0,6-0,205.0,Villanova,12000000.0
Lucas Nogueira,Toronto Raptors,92.0,C,23.0,7-0,220.0,,1842000.0
Patrick Patterson,Toronto Raptors,54.0,PF,27.0,6-9,235.0,Kentucky,6268675.0
Norman Powell,Toronto Raptors,24.0,SG,23.0,6-4,215.0,UCLA,650000.0
Terrence Ross,Toronto Raptors,31.0,SF,25.0,6-7,195.0,Washington,3553917.0
Luis Scola,Toronto Raptors,4.0,PF,36.0,6-9,240.0,,2900000.0
Jason Thompson,Toronto Raptors,1.0,PF,29.0,6-11,250.0,Rider,245177.0
Jonas Valanciunas,Toronto Raptors,17.0,C,24.0,7-0,255.0,,4660482.0
Delon Wright,Toronto Raptors,55.0,PG,24.0,6-5,190.0,Utah,1509360.0
Leandro Barbosa,Golden State Warriors,19.0,SG,33.0,6-3,194.0,,2500000.0
Harrison Barnes,Golden State Warriors,40.0,SF,24.0,6-8,225.0,North Carolina,3873398.0
Andrew Bogut,Golden State Warriors,12.0,C,31.0,7-0,260.0,Utah,13800000.0
Ian Clark,Golden State Warriors,21.0,SG,25.0,6-3,175.0,Belmont,947276.0
Stephen Curry,Golden State Warriors,30.0,PG,28.0,6-3,190.0,Davidson,11370786.0
Festus Ezeli,Golden State Warriors,31.0,C,26.0,6-11,265.0,Vanderbilt,2008748.0
Draymond Green,Golden State Warriors,23.0,PF,26.0,6-7,230.0,Michigan State,14260870.0
Andre Iguodala,Golden State Warriors,9.0,SF,32.0,6-6,215.0,Arizona,11710456.0
Shaun Livingston,Golden State Warriors,34.0,PG,30.0,6-7,192.0,,5543725.0
Kevon Looney,Golden State Warriors,36.0,SF,20.0,6-9,220.0,UCLA,1131960.0
James Michael McAdoo,Golden State Warriors,20.0,SF,23.0,6-9,240.0,North Carolina,845059.0
Brandon Rush,Golden State Warriors,4.0,SF,30.0,6-6,220.0,Kansas,1270964.0
Marreese Speights,Golden State Warriors,5.0,C,28.0,6-10,255.0,Florida,3815000.0
Klay Thompson,Golden State Warriors,11.0,SG,26.0,6-7,215.0,Washington State,15501000.0
Anderson Varejao,Golden State Warriors,18.0,PF,33.0,6-11,273.0,,289755.0
Cole Aldrich,Los Angeles Clippers,45.0,C,27.0,6-11,250.0,Kansas,1100602.0
Jeff Ayres,Los Angeles Clippers,19.0,PF,29.0,6-9,250.0,Arizona State,111444.0
Jamal Crawford,Los Angeles Clippers,11.0,SG,36.0,6-5,195.0,Michigan,5675000.0
Branden Dawson,Los Angeles Clippers,22.0,SF,23.0,6-6,225.0,Michigan State,525093.0
Jeff Green,Los Angeles Clippers,8.0,SF,29.0,6-9,235.0,Georgetown,9650000.0
Blake Griffin,Los Angeles Clippers,32.0,PF,27.0,6-10,251.0,Oklahoma,18907726.0
Wesley Johnson,Los Angeles Clippers,33.0,SF,28.0,6-7,215.0,Syracuse,1100602.0
DeAndre Jordan,Los Angeles Clippers,6.0,C,27.0,6-11,265.0,Texas A&M,19689000.0
Luc Richard Mbah a Moute,Los Angeles Clippers,12.0,PF,29.0,6-8,230.0,UCLA,947276.0
Chris Paul,Los Angeles Clippers,3.0,PG,31.0,6-0,175.0,Wake Forest,21468695.0
Paul Pierce,Los Angeles Clippers,34.0,SF,38.0,6-7,235.0,Kansas,3376000.0
Pablo Prigioni,Los Angeles Clippers,9.0,PG,39.0,6-3,185.0,,947726.0
JJ Redick,Los Angeles Clippers,4.0,SG,31.0,6-4,190.0,Duke,7085000.0
Austin Rivers,Los Angeles Clippers,25.0,PG,23.0,6-4,200.0,Duke,3110796.0
C.J. Wilcox,Los Angeles Clippers,30.0,SG,25.0,6-5,195.0,Washington,1159680.0
Brandon Bass,Los Angeles Lakers,2.0,PF,31.0,6-8,250.0,LSU,3000000.0
Tarik Black,Los Angeles Lakers,28.0,C,24.0,6-9,250.0,Kansas,845059.0
Anthony Brown,Los Angeles Lakers,3.0,SF,23.0,6-7,210.0,Stanford,700000.0
Kobe Bryant,Los Angeles Lakers,24.0,SF,37.0,6-6,212.0,,25000000.0
Jordan Clarkson,Los Angeles Lakers,6.0,PG,24.0,6-5,194.0,Missouri,845059.0
Roy Hibbert,Los Angeles Lakers,17.0,C,29.0,7-2,270.0,Georgetown,15592217.0
Marcelo Huertas,Los Angeles Lakers,9.0,PG,33.0,6-3,200.0,,525093.0
Ryan Kelly,Los Angeles Lakers,4.0,PF,25.0,6-11,230.0,Duke,1724250.0
Larry Nance Jr.,Los Angeles Lakers,7.0,PF,23.0,6-9,230.0,Wyoming,1155600.0
Julius Randle,Los Angeles Lakers,30.0,PF,21.0,6-9,250.0,Kentucky,3132240.0
D'Angelo Russell,Los Angeles Lakers,1.0,PG,20.0,6-5,195.0,Ohio State,5103120.0
Robert Sacre,Los Angeles Lakers,50.0,C,27.0,7-0,270.0,Gonzaga,981348.0
Louis Williams,Los Angeles Lakers,23.0,SG,29.0,6-1,175.0,,7000000.0
Metta World Peace,Los Angeles Lakers,37.0,SF,36.0,6-7,260.0,St. John's,947276.0
Nick Young,Los Angeles Lakers,0.0,SF,31.0,6-7,210.0,USC,5219169.0
Eric Bledsoe,Phoenix Suns,2.0,PG,26.0,6-1,190.0,Kentucky,13500000.0
Devin Booker,Phoenix Suns,1.0,SG,19.0,6-6,206.0,Kentucky,2127840.0
Chase Budinger,Phoenix Suns,10.0,SF,28.0,6-7,209.0,Arizona,206192.0
Tyson Chandler,Phoenix Suns,4.0,C,33.0,7-1,240.0,,13000000.0
Archie Goodwin,Phoenix Suns,20.0,SG,21.0,6-5,200.0,Kentucky,1160160.0
John Jenkins,Phoenix Suns,23.0,SG,25.0,6-4,215.0,Vanderbilt,981348.0
Brandon Knight,Phoenix Suns,3.0,PG,24.0,6-3,189.0,Kentucky,13500000.0
Alex Len,Phoenix Suns,21.0,C,22.0,7-1,260.0,Maryland,3807120.0
Jon Leuer,Phoenix Suns,30.0,PF,27.0,6-10,228.0,Wisconsin,1035000.0
Phil Pressey,Phoenix Suns,25.0,PG,25.0,5-11,175.0,Missouri,55722.0
Ronnie Price,Phoenix Suns,14.0,PG,32.0,6-2,190.0,Utah Valley,947276.0
Mirza Teletovic,Phoenix Suns,35.0,PF,30.0,6-9,242.0,,5500000.0
P.J. Tucker,Phoenix Suns,17.0,SF,31.0,6-6,245.0,Texas,5500000.0
T.J. Warren,Phoenix Suns,12.0,SF,22.0,6-8,230.0,North Carolina State,2041080.0
Alan Williams,Phoenix Suns,15.0,C,23.0,6-8,260.0,UC Santa Barbara,83397.0
Quincy Acy,Sacramento Kings,13.0,SF,25.0,6-7,240.0,Baylor,981348.0
James Anderson,Sacramento Kings,5.0,SG,27.0,6-6,213.0,Oklahoma State,1015421.0
Marco Belinelli,Sacramento Kings,3.0,SG,30.0,6-5,210.0,,6060606.0
Caron Butler,Sacramento Kings,31.0,SF,36.0,6-7,228.0,Connecticut,1449187.0
Omri Casspi,Sacramento Kings,18.0,SF,27.0,6-9,225.0,,2836186.0
Willie Cauley-Stein,Sacramento Kings,0.0,C,22.0,7-0,240.0,Kentucky,3398280.0
Darren Collison,Sacramento Kings,7.0,PG,28.0,6-0,175.0,UCLA,5013559.0
DeMarcus Cousins,Sacramento Kings,15.0,C,25.0,6-11,270.0,Kentucky,15851950.0
Seth Curry,Sacramento Kings,30.0,SG,25.0,6-2,185.0,Duke,947276.0
Duje Dukan,Sacramento Kings,26.0,PF,24.0,6-9,220.0,Wisconsin,525093.0
Rudy Gay,Sacramento Kings,8.0,SF,29.0,6-8,230.0,Connecticut,12403101.0
Kosta Koufos,Sacramento Kings,41.0,C,27.0,7-0,265.0,Ohio State,7700000.0
Ben McLemore,Sacramento Kings,23.0,SG,23.0,6-5,195.0,Kansas,3156600.0
Eric Moreland,Sacramento Kings,25.0,PF,24.0,6-10,238.0,Oregon State,845059.0
Rajon Rondo,Sacramento Kings,9.0,PG,30.0,6-1,186.0,Kentucky,9500000.0
Cameron Bairstow,Chicago Bulls,41.0,PF,25.0,6-9,250.0,New Mexico,845059.0
Aaron Brooks,Chicago Bulls,0.0,PG,31.0,6-0,161.0,Oregon,2250000.0
Jimmy Butler,Chicago Bulls,21.0,SG,26.0,6-7,220.0,Marquette,16407500.0
Mike Dunleavy,Chicago Bulls,34.0,SG,35.0,6-9,230.0,Duke,4500000.0
Cristiano Felicio,Chicago Bulls,6.0,PF,23.0,6-10,275.0,,525093.0
Pau Gasol,Chicago Bulls,16.0,C,35.0,7-0,250.0,,7448760.0
Taj Gibson,Chicago Bulls,22.0,PF,30.0,6-9,225.0,USC,8500000.0
Justin Holiday,Chicago Bulls,7.0,SG,27.0,6-6,185.0,Washington,947276.0
Doug McDermott,Chicago Bulls,3.0,SF,24.0,6-8,225.0,Creighton,2380440.0
Nikola Mirotic,Chicago Bulls,44.0,PF,25.0,6-10,220.0,,5543725.0
E'Twaun Moore,Chicago Bulls,55.0,SG,27.0,6-4,191.0,Purdue,1015421.0
Joakim Noah,Chicago Bulls,13.0,C,31.0,6-11,232.0,Florida,13400000.0
Bobby Portis,Chicago Bulls,5.0,PF,21.0,6-11,230.0,Arkansas,1391160.0
Derrick Rose,Chicago Bulls,1.0,PG,27.0,6-3,190.0,Memphis,20093064.0
Tony Snell,Chicago Bulls,20.0,SF,24.0,6-7,200.0,New Mexico,1535880.0
Matthew Dellavedova,Cleveland Cavaliers,8.0,PG,25.0,6-4,198.0,Saint Mary's,1147276.0
Channing Frye,Cleveland Cavaliers,9.0,PF,33.0,6-11,255.0,Arizona,8193029.0
Kyrie Irving,Cleveland Cavaliers,2.0,PG,24.0,6-3,193.0,Duke,16407501.0
LeBron James,Cleveland Cavaliers,23.0,SF,31.0,6-8,250.0,,22970500.0
Richard Jefferson,Cleveland Cavaliers,24.0,SF,35.0,6-7,233.0,Arizona,947276.0
Dahntay Jones,Cleveland Cavaliers,30.0,SG,35.0,6-6,225.0,Duke,
James Jones,Cleveland Cavaliers,1.0,SG,35.0,6-8,218.0,Miami (FL),947276.0
Sasha Kaun,Cleveland Cavaliers,14.0,C,31.0,6-11,260.0,Kansas,1276000.0
Kevin Love,Cleveland Cavaliers,0.0,PF,27.0,6-10,251.0,UCLA,19689000.0
Jordan McRae,Cleveland Cavaliers,12.0,SG,25.0,6-5,179.0,Tennessee,111196.0
Timofey Mozgov,Cleveland Cavaliers,20.0,C,29.0,7-1,275.0,,4950000.0
Iman Shumpert,Cleveland Cavaliers,4.0,SG,25.0,6-5,220.0,Georgia Tech,8988765.0
J.R. Smith,Cleveland Cavaliers,5.0,SG,30.0,6-6,225.0,,5000000.0
Tristan Thompson,Cleveland Cavaliers,13.0,C,25.0,6-9,238.0,Texas,14260870.0
Mo Williams,Cleveland Cavaliers,52.0,PG,33.0,6-1,198.0,Alabama,2100000.0
Joel Anthony,Detroit Pistons,50.0,C,33.0,6-9,245.0,UNLV,2500000.0
Aron Baynes,Detroit Pistons,12.0,C,29.0,6-10,260.0,Washington State,6500000.0
Steve Blake,Detroit Pistons,22.0,PG,36.0,6-3,172.0,Maryland,2170465.0
Lorenzo Brown,Detroit Pistons,17.0,PG,25.0,6-5,189.0,North Carolina State,111444.0
Reggie Bullock,Detroit Pistons,25.0,SF,25.0,6-7,205.0,North Carolina,1252440.0
Kentavious Caldwell-Pope,Detroit Pistons,5.0,SG,23.0,6-5,205.0,Georgia,2891760.0
Spencer Dinwiddie,Detroit Pistons,8.0,PG,23.0,6-6,200.0,Colorado,845059.0
Andre Drummond,Detroit Pistons,0.0,C,22.0,6-11,279.0,Connecticut,3272091.0
Tobias Harris,Detroit Pistons,34.0,SF,23.0,6-9,235.0,Tennessee,16000000.0
Darrun Hilliard,Detroit Pistons,6.0,SF,23.0,6-6,205.0,Villanova,600000.0
Reggie Jackson,Detroit Pistons,1.0,PG,26.0,6-3,208.0,Boston College,13913044.0
Stanley Johnson,Detroit Pistons,3.0,SF,20.0,6-7,245.0,Arizona,2841960.0
Jodie Meeks,Detroit Pistons,20.0,SG,28.0,6-4,210.0,Kentucky,6270000.0
Marcus Morris,Detroit Pistons,13.0,PF,26.0,6-9,235.0,Kansas,5000000.0
Anthony Tolliver,Detroit Pistons,43.0,PF,31.0,6-8,240.0,Creighton,3000000.0
Lavoy Allen,Indiana Pacers,5.0,PF,27.0,6-9,255.0,Temple,4050000.0
Rakeem Christmas,Indiana Pacers,25.0,PF,24.0,6-9,250.0,Syracuse,1007026.0
Monta Ellis,Indiana Pacers,11.0,SG,30.0,6-3,185.0,,10300000.0
Paul George,Indiana Pacers,13.0,SF,26.0,6-9,220.0,Fresno State,17120106.0
George Hill,Indiana Pacers,3.0,PG,30.0,6-3,188.0,IUPUI,8000000.0
Jordan Hill,Indiana Pacers,27.0,C,28.0,6-10,235.0,Arizona,4000000.0
Solomon Hill,Indiana Pacers,44.0,SF,25.0,6-7,225.0,Arizona,1358880.0
Ty Lawson,Indiana Pacers,10.0,PG,28.0,5-11,195.0,North Carolina,211744.0
Ian Mahinmi,Indiana Pacers,28.0,C,29.0,6-11,250.0,,4000000.0
C.J. Miles,Indiana Pacers,0.0,SF,29.0,6-6,231.0,,4394225.0
Glenn Robinson III,Indiana Pacers,40.0,SG,22.0,6-7,222.0,Michigan,1100000.0
Rodney Stuckey,Indiana Pacers,2.0,PG,30.0,6-5,205.0,Eastern Washington,7000000.0
Myles Turner,Indiana Pacers,33.0,PF,20.0,6-11,243.0,Texas,2357760.0
Shayne Whittington,Indiana Pacers,42.0,PF,25.0,6-11,250.0,Western Michigan,845059.0
Joe Young,Indiana Pacers,1.0,PG,23.0,6-2,180.0,Oregon,1007026.0
Giannis Antetokounmpo,Milwaukee Bucks,34.0,SF,21.0,6-11,222.0,,1953960.0
Jerryd Bayless,Milwaukee Bucks,19.0,PG,27.0,6-3,200.0,Arizona,3000000.0
Michael Carter-Williams,Milwaukee Bucks,5.0,PG,24.0,6-6,190.0,Syracuse,2399040.0
Jared Cunningham,Milwaukee Bucks,9.0,SG,25.0,6-4,195.0,Oregon State,947276.0
Tyler Ennis,Milwaukee Bucks,11.0,PG,21.0,6-3,194.0,Syracuse,1662360.0
John Henson,Milwaukee Bucks,31.0,PF,25.0,6-11,229.0,North Carolina,2943221.0
Damien Inglis,Milwaukee Bucks,17.0,SF,21.0,6-8,246.0,,855000.0
O.J. Mayo,Milwaukee Bucks,3.0,SG,28.0,6-5,210.0,USC,8000000.0
Khris Middleton,Milwaukee Bucks,22.0,SG,24.0,6-8,234.0,Texas A&M,14700000.0
Greg Monroe,Milwaukee Bucks,15.0,C,26.0,6-11,265.0,Georgetown,16407500.0
Steve Novak,Milwaukee Bucks,6.0,SF,32.0,6-10,225.0,Marquette,295327.0
Johnny O'Bryant III,Milwaukee Bucks,77.0,PF,23.0,6-9,257.0,LSU,845059.0
Jabari Parker,Milwaukee Bucks,12.0,PF,21.0,6-8,250.0,Duke,5152440.0
Miles Plumlee,Milwaukee Bucks,18.0,C,27.0,6-11,249.0,Duke,2109294.0
Greivis Vasquez,Milwaukee Bucks,21.0,PG,29.0,6-6,217.0,Maryland,6600000.0
Rashad Vaughn,Milwaukee Bucks,20.0,SG,19.0,6-6,202.0,UNLV,1733040.0
Justin Anderson,Dallas Mavericks,1.0,SG,22.0,6-6,228.0,Virginia,1449000.0
J.J. Barea,Dallas Mavericks,5.0,PG,31.0,6-0,185.0,Northeastern,4290000.0
Jeremy Evans,Dallas Mavericks,21.0,SF,28.0,6-9,200.0,Western Kentucky,1100602.0
Raymond Felton,Dallas Mavericks,2.0,PG,31.0,6-1,205.0,North Carolina,3950313.0
Devin Harris,Dallas Mavericks,34.0,PG,33.0,6-3,185.0,Wisconsin,4053446.0
David Lee,Dallas Mavericks,42.0,PF,33.0,6-9,245.0,Florida,2085671.0
Wesley Matthews,Dallas Mavericks,23.0,SG,29.0,6-5,220.0,Marquette,16407500.0
JaVale McGee,Dallas Mavericks,11.0,C,28.0,7-0,270.0,Nevada,1270964.0
Salah Mejri,Dallas Mavericks,50.0,C,29.0,7-2,245.0,,525093.0
Dirk Nowitzki,Dallas Mavericks,41.0,PF,37.0,7-0,245.0,,8333334.0
Zaza Pachulia,Dallas Mavericks,27.0,C,32.0,6-11,275.0,,5200000.0
Chandler Parsons,Dallas Mavericks,25.0,SF,27.0,6-10,230.0,Florida,15361500.0
Dwight Powell,Dallas Mavericks,7.0,PF,24.0,6-11,240.0,Stanford,845059.0
Charlie Villanueva,Dallas Mavericks,3.0,PF,31.0,6-11,232.0,Connecticut,947276.0
Deron Williams,Dallas Mavericks,8.0,PG,31.0,6-3,200.0,Illinois,5378974.0
Trevor Ariza,Houston Rockets,1.0,SF,30.0,6-8,215.0,UCLA,8193030.0
Michael Beasley,Houston Rockets,8.0,SF,27.0,6-10,235.0,Kansas State,306527.0
Patrick Beverley,Houston Rockets,2.0,PG,27.0,6-1,185.0,Arkansas,6486486.0
Corey Brewer,Houston Rockets,33.0,SG,30.0,6-9,186.0,Florida,8229375.0
Clint Capela,Houston Rockets,15.0,PF,22.0,6-10,240.0,,1242720.0
Sam Dekker,Houston Rockets,7.0,SF,22.0,6-9,230.0,Wisconsin,1646400.0
Andrew Goudelock,Houston Rockets,0.0,PG,27.0,6-3,200.0,Charleston,200600.0
James Harden,Houston Rockets,13.0,SG,26.0,6-5,220.0,Arizona State,15756438.0
Montrezl Harrell,Houston Rockets,35.0,PF,22.0,6-8,240.0,Louisville,1000000.0
Dwight Howard,Houston Rockets,12.0,C,30.0,6-11,265.0,,22359364.0
Terrence Jones,Houston Rockets,6.0,PF,24.0,6-9,252.0,Kentucky,2489530.0
K.J. McDaniels,Houston Rockets,32.0,SG,23.0,6-6,205.0,Clemson,3189794.0
Donatas Motiejunas,Houston Rockets,20.0,PF,25.0,7-0,222.0,,2288205.0
Josh Smith,Houston Rockets,5.0,C,30.0,6-9,225.0,,947276.0
Jason Terry,Houston Rockets,31.0,SG,38.0,6-2,185.0,Arizona,947276.0
Jordan Adams,Memphis Grizzlies,3.0,SG,21.0,6-5,209.0,UCLA,1404600.0
Tony Allen,Memphis Grizzlies,9.0,SG,34.0,6-4,213.0,Oklahoma State,5158539.0
Chris Andersen,Memphis Grizzlies,7.0,PF,37.0,6-10,245.0,Blinn College,5000000.0
Matt Barnes,Memphis Grizzlies,22.0,SF,36.0,6-7,226.0,UCLA,3542500.0
Vince Carter,Memphis Grizzlies,15.0,SG,39.0,6-6,220.0,North Carolina,4088019.0
Mike Conley,Memphis Grizzlies,11.0,PG,28.0,6-1,175.0,Ohio State,9588426.0
Bryce Cotton,Memphis Grizzlies,8.0,PG,23.0,6-1,165.0,Providence,700902.0
Jordan Farmar,Memphis Grizzlies,4.0,PG,29.0,6-2,180.0,UCLA,
Marc Gasol,Memphis Grizzlies,33.0,C,31.0,7-1,255.0,,19688000.0
JaMychal Green,Memphis Grizzlies,0.0,PF,25.0,6-9,227.0,Alabama,845059.0
P.J. Hairston,Memphis Grizzlies,19.0,SF,23.0,6-6,230.0,North Carolina,1201440.0
Jarell Martin,Memphis Grizzlies,10.0,PF,22.0,6-10,239.0,LSU,1230840.0
Ray McCallum,Memphis Grizzlies,5.0,PG,24.0,6-3,190.0,Detroit,
Xavier Munford,Memphis Grizzlies,14.0,PG,24.0,6-3,180.0,Rhode Island,
Zach Randolph,Memphis Grizzlies,50.0,PF,34.0,6-9,260.0,Michigan State,9638555.0
Lance Stephenson,Memphis Grizzlies,1.0,SF,25.0,6-5,230.0,Cincinnati,9000000.0
Alex Stepheson,Memphis Grizzlies,35.0,PF,28.0,6-10,270.0,USC,
Brandan Wright,Memphis Grizzlies,34.0,PF,28.0,6-10,210.0,North Carolina,5464000.0
Alexis Ajinca,New Orleans Pelicans,42.0,C,28.0,7-2,248.0,,4389607.0
Ryan Anderson,New Orleans Pelicans,33.0,PF,28.0,6-10,240.0,California,8500000.0
Omer Asik,New Orleans Pelicans,3.0,C,29.0,7-0,255.0,,9213483.0
Luke Babbitt,New Orleans Pelicans,8.0,SF,26.0,6-9,225.0,Nevada,1100602.0
Norris Cole,New Orleans Pelicans,30.0,PG,27.0,6-2,175.0,Cleveland State,3036927.0
Dante Cunningham,New Orleans Pelicans,44.0,PF,29.0,6-8,230.0,Villanova,2850000.0
Anthony Davis,New Orleans Pelicans,23.0,PF,23.0,6-10,253.0,Kentucky,7070730.0
Bryce Dejean-Jones,New Orleans Pelicans,31.0,SG,23.0,6-6,203.0,Iowa State,169883.0
Toney Douglas,New Orleans Pelicans,16.0,PG,30.0,6-2,195.0,Florida State,1164858.0
James Ennis,New Orleans Pelicans,4.0,SF,25.0,6-7,210.0,Long Beach State,845059.0
Tyreke Evans,New Orleans Pelicans,1.0,SG,26.0,6-6,220.0,Memphis,10734586.0
Tim Frazier,New Orleans Pelicans,2.0,PG,25.0,6-1,170.0,Penn State,845059.0
Alonzo Gee,New Orleans Pelicans,15.0,SF,29.0,6-6,225.0,Alabama,1320000.0
Eric Gordon,New Orleans Pelicans,10.0,SG,27.0,6-4,215.0,Indiana,15514031.0
Jordan Hamilton,New Orleans Pelicans,25.0,SG,25.0,6-7,220.0,Texas,1015421.0
Jrue Holiday,New Orleans Pelicans,11.0,PG,25.0,6-4,205.0,UCLA,10595507.0
Orlando Johnson,New Orleans Pelicans,0.0,SG,27.0,6-5,220.0,UC Santa Barbara,55722.0
Kendrick Perkins,New Orleans Pelicans,5.0,C,31.0,6-10,270.0,,947276.0
Quincy Pondexter,New Orleans Pelicans,20.0,SF,28.0,6-7,220.0,Washington,3382023.0
LaMarcus Aldridge,San Antonio Spurs,12.0,PF,30.0,6-11,240.0,Texas,19689000.0
Kyle Anderson,San Antonio Spurs,1.0,SF,22.0,6-9,230.0,UCLA,1142880.0
Matt Bonner,San Antonio Spurs,15.0,C,36.0,6-10,235.0,Florida,947276.0
Boris Diaw,San Antonio Spurs,33.0,C,34.0,6-8,250.0,,7500000.0
Tim Duncan,San Antonio Spurs,21.0,C,40.0,6-11,250.0,Wake Forest,5250000.0
Manu Ginobili,San Antonio Spurs,20.0,SG,38.0,6-6,205.0,,2814000.0
Danny Green,San Antonio Spurs,14.0,SG,28.0,6-6,215.0,North Carolina,10000000.0
Kawhi Leonard,San Antonio Spurs,2.0,SF,24.0,6-7,230.0,San Diego State,16407500.0
Boban Marjanovic,San Antonio Spurs,40.0,C,27.0,7-3,290.0,,1200000.0
Kevin Martin,San Antonio Spurs,23.0,SG,33.0,6-7,199.0,Western Carolina,200600.0
Andre Miller,San Antonio Spurs,24.0,PG,40.0,6-3,200.0,Utah,250750.0
Patty Mills,San Antonio Spurs,8.0,PG,27.0,6-0,185.0,Saint Mary's,3578947.0
Tony Parker,San Antonio Spurs,9.0,PG,34.0,6-2,185.0,,13437500.0
Jonathon Simmons,San Antonio Spurs,17.0,SG,26.0,6-6,195.0,Houston,525093.0
David West,San Antonio Spurs,30.0,PF,35.0,6-9,250.0,Xavier,1499187.0
Kent Bazemore,Atlanta Hawks,24.0,SF,26.0,6-5,201.0,Old Dominion,2000000.0
Tim Hardaway Jr.,Atlanta Hawks,10.0,SG,24.0,6-6,205.0,Michigan,1304520.0
Kirk Hinrich,Atlanta Hawks,12.0,SG,35.0,6-4,190.0,Kansas,2854940.0
Al Horford,Atlanta Hawks,15.0,C,30.0,6-10,245.0,Florida,12000000.0
Kris Humphries,Atlanta Hawks,43.0,PF,31.0,6-9,235.0,Minnesota,1000000.0
Kyle Korver,Atlanta Hawks,26.0,SG,35.0,6-7,212.0,Creighton,5746479.0
Paul Millsap,Atlanta Hawks,4.0,PF,31.0,6-8,246.0,Louisiana Tech,18671659.0
Mike Muscala,Atlanta Hawks,31.0,PF,24.0,6-11,240.0,Bucknell,947276.0
Lamar Patterson,Atlanta Hawks,13.0,SG,24.0,6-5,225.0,Pittsburgh,525093.0
Dennis Schroder,Atlanta Hawks,17.0,PG,22.0,6-1,172.0,,1763400.0
Mike Scott,Atlanta Hawks,32.0,PF,27.0,6-8,237.0,Virginia,3333333.0
Thabo Sefolosha,Atlanta Hawks,25.0,SF,32.0,6-7,220.0,,4000000.0
Tiago Splitter,Atlanta Hawks,11.0,C,31.0,6-11,245.0,,9756250.0
Walter Tavares,Atlanta Hawks,22.0,C,24.0,7-3,260.0,,1000000.0
Jeff Teague,Atlanta Hawks,0.0,PG,27.0,6-2,186.0,Wake Forest,8000000.0
Nicolas Batum,Charlotte Hornets,5.0,SG,27.0,6-8,200.0,,13125306.0
Troy Daniels,Charlotte Hornets,30.0,SG,24.0,6-4,205.0,Virginia Commonwealth,947276.0
Jorge Gutierrez,Charlotte Hornets,12.0,PG,27.0,6-3,189.0,California,189455.0
Tyler Hansbrough,Charlotte Hornets,50.0,PF,30.0,6-9,250.0,North Carolina,947276.0
Aaron Harrison,Charlotte Hornets,9.0,SG,21.0,6-6,210.0,Kentucky,525093.0
Spencer Hawes,Charlotte Hornets,0.0,PF,28.0,7-1,245.0,Washington,6110034.0
Al Jefferson,Charlotte Hornets,25.0,C,31.0,6-10,289.0,,13500000.0
Frank Kaminsky III,Charlotte Hornets,44.0,C,23.0,7-0,240.0,Wisconsin,2612520.0
Michael Kidd-Gilchrist,Charlotte Hornets,14.0,SF,22.0,6-7,232.0,Kentucky,6331404.0
Jeremy Lamb,Charlotte Hornets,3.0,SG,24.0,6-5,185.0,Connecticut,3034356.0
Courtney Lee,Charlotte Hornets,1.0,SG,30.0,6-5,200.0,Western Kentucky,5675000.0
Jeremy Lin,Charlotte Hornets,7.0,PG,27.0,6-3,200.0,Harvard,2139000.0
Kemba Walker,Charlotte Hornets,15.0,PG,26.0,6-1,184.0,Connecticut,12000000.0
Marvin Williams,Charlotte Hornets,2.0,PF,29.0,6-9,237.0,North Carolina,7000000.0
Cody Zeller,Charlotte Hornets,40.0,C,23.0,7-0,240.0,Indiana,4204200.0
Chris Bosh,Miami Heat,1.0,PF,32.0,6-11,235.0,Georgia Tech,22192730.0
Luol Deng,Miami Heat,9.0,SF,31.0,6-9,220.0,Duke,10151612.0
Goran Dragic,Miami Heat,7.0,PG,30.0,6-3,190.0,,14783000.0
Gerald Green,Miami Heat,14.0,SF,30.0,6-7,205.0,,947276.0
Udonis Haslem,Miami Heat,40.0,PF,36.0,6-8,235.0,Florida,2854940.0
Joe Johnson,Miami Heat,2.0,SF,34.0,6-7,240.0,Arkansas,261894.0
Tyler Johnson,Miami Heat,8.0,SG,24.0,6-4,186.0,Fresno State,845059.0
Josh McRoberts,Miami Heat,4.0,PF,29.0,6-10,240.0,Duke,5543725.0
Josh Richardson,Miami Heat,0.0,SG,22.0,6-6,200.0,Tennessee,525093.0
Amar'e Stoudemire,Miami Heat,5.0,PF,33.0,6-10,245.0,,947276.0
Dwyane Wade,Miami Heat,3.0,SG,34.0,6-4,220.0,Marquette,20000000.0
Briante Weber,Miami Heat,12.0,PG,23.0,6-2,165.0,Virginia Commonwealth,
Hassan Whiteside,Miami Heat,21.0,C,26.0,7-0,265.0,Marshall,981348.0
Justise Winslow,Miami Heat,20.0,SF,20.0,6-7,225.0,Duke,2481720.0
Dorell Wright,Miami Heat,11.0,SF,30.0,6-9,205.0,,
Dewayne Dedmon,Orlando Magic,3.0,C,26.0,7-0,245.0,USC,947276.0
Evan Fournier,Orlando Magic,10.0,SG,23.0,6-7,205.0,,2288205.0
Aaron Gordon,Orlando Magic,0.0,PF,20.0,6-9,220.0,Arizona,4171680.0
Mario Hezonja,Orlando Magic,23.0,SG,21.0,6-8,218.0,,3741480.0
Ersan Ilyasova,Orlando Magic,7.0,PF,29.0,6-10,235.0,,7900000.0
Brandon Jennings,Orlando Magic,55.0,PG,26.0,6-1,169.0,,8344497.0
Devyn Marble,Orlando Magic,11.0,SF,23.0,6-6,200.0,Iowa,845059.0
Shabazz Napier,Orlando Magic,13.0,PG,24.0,6-1,175.0,Connecticut,1294440.0
Andrew Nicholson,Orlando Magic,44.0,PF,26.0,6-9,250.0,St. Bonaventure,2380593.0
Victor Oladipo,Orlando Magic,5.0,SG,24.0,6-4,210.0,Indiana,5192520.0
Elfrid Payton,Orlando Magic,4.0,PG,22.0,6-4,185.0,Louisiana-Lafayette,2505720.0
Jason Smith,Orlando Magic,14.0,PF,30.0,7-0,240.0,Colorado State,4300000.0
Nikola Vucevic,Orlando Magic,9.0,C,25.0,7-0,260.0,USC,11250000.0
C.J. Watson,Orlando Magic,32.0,PG,32.0,6-2,175.0,Tennessee,5000000.0
Alan Anderson,Washington Wizards,6.0,SG,33.0,6-6,220.0,Michigan State,4000000.0
Bradley Beal,Washington Wizards,3.0,SG,22.0,6-5,207.0,Florida,5694674.0
Jared Dudley,Washington Wizards,1.0,SF,30.0,6-7,225.0,Boston College,4375000.0
Jarell Eddie,Washington Wizards,8.0,SG,24.0,6-7,218.0,Virginia Tech,561716.0
Drew Gooden,Washington Wizards,90.0,PF,34.0,6-10,250.0,Kansas,3300000.0
Marcin Gortat,Washington Wizards,13.0,C,32.0,6-11,240.0,,11217391.0
JJ Hickson,Washington Wizards,21.0,C,27.0,6-9,242.0,North Carolina State,273038.0
Nene Hilario,Washington Wizards,42.0,C,33.0,6-11,250.0,,13000000.0
Markieff Morris,Washington Wizards,5.0,PF,26.0,6-10,245.0,Kansas,8000000.0
Kelly Oubre Jr.,Washington Wizards,12.0,SF,20.0,6-7,205.0,Kansas,1920240.0
Otto Porter Jr.,Washington Wizards,22.0,SF,23.0,6-8,198.0,Georgetown,4662960.0
Ramon Sessions,Washington Wizards,7.0,PG,30.0,6-3,190.0,Nevada,2170465.0
Garrett Temple,Washington Wizards,17.0,SG,30.0,6-6,195.0,LSU,1100602.0
Marcus Thornton,Washington Wizards,15.0,SF,29.0,6-4,205.0,LSU,200600.0
John Wall,Washington Wizards,2.0,PG,25.0,6-4,195.0,Kentucky,15851950.0
Darrell Arthur,Denver Nuggets,0.0,PF,28.0,6-9,235.0,Kansas,2814000.0
D.J. Augustin,Denver Nuggets,12.0,PG,28.0,6-0,183.0,Texas,3000000.0
Will Barton,Denver Nuggets,5.0,SF,25.0,6-6,175.0,Memphis,3533333.0
Wilson Chandler,Denver Nuggets,21.0,SF,29.0,6-8,225.0,DePaul,10449438.0
Kenneth Faried,Denver Nuggets,35.0,PF,26.0,6-8,228.0,Morehead State,11235955.0
Danilo Gallinari,Denver Nuggets,8.0,SF,27.0,6-10,225.0,,14000000.0
Gary Harris,Denver Nuggets,14.0,SG,21.0,6-4,210.0,Michigan State,1584480.0
Nikola Jokic,Denver Nuggets,15.0,C,21.0,6-10,250.0,,1300000.0
Joffrey Lauvergne,Denver Nuggets,77.0,C,24.0,6-11,220.0,,1709719.0
Mike Miller,Denver Nuggets,3.0,SG,36.0,6-8,218.0,Florida,947276.0
Emmanuel Mudiay,Denver Nuggets,0.0,PG,20.0,6-5,200.0,,3102240.0
Jameer Nelson,Denver Nuggets,1.0,PG,34.0,6-0,190.0,Saint Joseph's,4345000.0
Jusuf Nurkic,Denver Nuggets,23.0,C,21.0,7-0,280.0,,1842000.0
JaKarr Sampson,Denver Nuggets,9.0,SG,23.0,6-9,214.0,St. John's,258489.0
Axel Toupane,Denver Nuggets,6.0,SG,23.0,6-7,210.0,,
Nemanja Bjelica,Minnesota Timberwolves,88.0,PF,28.0,6-10,240.0,,3950001.0
Gorgui Dieng,Minnesota Timberwolves,5.0,C,26.0,6-11,241.0,Louisville,1474440.0
Kevin Garnett,Minnesota Timberwolves,21.0,PF,40.0,6-11,240.0,,8500000.0
Tyus Jones,Minnesota Timberwolves,1.0,PG,20.0,6-2,195.0,Duke,1282080.0
Zach LaVine,Minnesota Timberwolves,8.0,PG,21.0,6-5,189.0,UCLA,2148360.0
Shabazz Muhammad,Minnesota Timberwolves,15.0,SF,23.0,6-6,223.0,UCLA,2056920.0
Adreian Payne,Minnesota Timberwolves,33.0,PF,25.0,6-10,237.0,Michigan State,1938840.0
Nikola Pekovic,Minnesota Timberwolves,14.0,C,30.0,6-11,307.0,,12100000.0
Tayshaun Prince,Minnesota Timberwolves,12.0,SF,36.0,6-9,212.0,Kentucky,947276.0
Ricky Rubio,Minnesota Timberwolves,9.0,PG,25.0,6-4,194.0,,12700000.0
Damjan Rudez,Minnesota Timberwolves,10.0,SF,29.0,6-9,230.0,,1149500.0
Greg Smith,Minnesota Timberwolves,4.0,PF,25.0,6-10,250.0,Fresno State,
Karl-Anthony Towns,Minnesota Timberwolves,32.0,C,20.0,7-0,244.0,Kentucky,5703600.0
Andrew Wiggins,Minnesota Timberwolves,22.0,SG,21.0,6-8,199.0,Kansas,5758680.0
Steven Adams,Oklahoma City Thunder,12.0,C,22.0,7-0,255.0,Pittsburgh,2279040.0
Nick Collison,Oklahoma City Thunder,4.0,PF,35.0,6-10,255.0,Kansas,3750000.0
Kevin Durant,Oklahoma City Thunder,35.0,SF,27.0,6-9,240.0,Texas,20158622.0
Randy Foye,Oklahoma City Thunder,6.0,SG,32.0,6-4,213.0,Villanova,3135000.0
Josh Huestis,Oklahoma City Thunder,34.0,SF,24.0,6-7,230.0,Stanford,1140240.0
Serge Ibaka,Oklahoma City Thunder,9.0,PF,26.0,6-10,245.0,,12250000.0
Enes Kanter,Oklahoma City Thunder,11.0,C,24.0,6-11,245.0,Kentucky,16407500.0
Mitch McGary,Oklahoma City Thunder,33.0,PF,24.0,6-10,255.0,Michigan,1463040.0
Nazr Mohammed,Oklahoma City Thunder,13.0,C,38.0,6-10,250.0,Kentucky,222888.0
Anthony Morrow,Oklahoma City Thunder,2.0,SG,30.0,6-5,210.0,Georgia Tech,3344000.0
Cameron Payne,Oklahoma City Thunder,22.0,PG,21.0,6-3,185.0,Murray State,2021520.0
Andre Roberson,Oklahoma City Thunder,21.0,SG,24.0,6-7,210.0,Colorado,1210800.0
Kyle Singler,Oklahoma City Thunder,5.0,SF,28.0,6-8,228.0,Duke,4500000.0
Dion Waiters,Oklahoma City Thunder,3.0,SG,24.0,6-4,220.0,Syracuse,5138430.0
Russell Westbrook,Oklahoma City Thunder,0.0,PG,27.0,6-3,200.0,UCLA,16744218.0
Cliff Alexander,Portland Trail Blazers,34.0,PF,20.0,6-8,240.0,Kansas,525093.0
Al-Farouq Aminu,Portland Trail Blazers,8.0,SF,25.0,6-9,215.0,Wake Forest,8042895.0
Pat Connaughton,Portland Trail Blazers,5.0,SG,23.0,6-5,206.0,Notre Dame,625093.0
Allen Crabbe,Portland Trail Blazers,23.0,SG,24.0,6-6,210.0,California,947276.0
Ed Davis,Portland Trail Blazers,17.0,C,27.0,6-10,240.0,North Carolina,6980802.0
Maurice Harkless,Portland Trail Blazers,4.0,SF,23.0,6-9,215.0,St. John's,2894059.0
Gerald Henderson,Portland Trail Blazers,9.0,SG,28.0,6-5,215.0,Duke,6000000.0
Chris Kaman,Portland Trail Blazers,35.0,C,34.0,7-0,265.0,Central Michigan,5016000.0
Meyers Leonard,Portland Trail Blazers,11.0,PF,24.0,7-1,245.0,Illinois,3075880.0
Damian Lillard,Portland Trail Blazers,0.0,PG,25.0,6-3,195.0,Weber State,4236287.0
C.J. McCollum,Portland Trail Blazers,3.0,SG,24.0,6-4,200.0,Lehigh,2525160.0
Luis Montero,Portland Trail Blazers,44.0,SG,23.0,6-7,185.0,Westchester CC,525093.0
Mason Plumlee,Portland Trail Blazers,24.0,C,26.0,6-11,235.0,Duke,1415520.0
Brian Roberts,Portland Trail Blazers,2.0,PG,30.0,6-1,173.0,Dayton,2854940.0
Noah Vonleh,Portland Trail Blazers,21.0,PF,20.0,6-9,240.0,Indiana,2637720.0
Trevor Booker,Utah Jazz,33.0,PF,28.0,6-8,228.0,Clemson,4775000.0
Trey Burke,Utah Jazz,3.0,PG,23.0,6-1,191.0,Michigan,2658240.0
Alec Burks,Utah Jazz,10.0,SG,24.0,6-6,214.0,Colorado,9463484.0
Dante Exum,Utah Jazz,11.0,PG,20.0,6-6,190.0,,3777720.0
Derrick Favors,Utah Jazz,15.0,PF,24.0,6-10,265.0,Georgia Tech,12000000.0
Rudy Gobert,Utah Jazz,27.0,C,23.0,7-1,245.0,,1175880.0
Gordon Hayward,Utah Jazz,20.0,SF,26.0,6-8,226.0,Butler,15409570.0
Rodney Hood,Utah Jazz,5.0,SG,23.0,6-8,206.0,Duke,1348440.0
Joe Ingles,Utah Jazz,2.0,SF,28.0,6-8,226.0,,2050000.0
Chris Johnson,Utah Jazz,23.0,SF,26.0,6-6,206.0,Dayton,981348.0
Trey Lyles,Utah Jazz,41.0,PF,20.0,6-10,234.0,Kentucky,2239800.0
Shelvin Mack,Utah Jazz,8.0,PG,26.0,6-3,203.0,Butler,2433333.0
Raul Neto,Utah Jazz,25.0,PG,24.0,6-1,179.0,,900000.0
Tibor Pleiss,Utah Jazz,21.0,C,26.0,7-3,256.0,,2900000.0
Jeff Withey,Utah Jazz,24.0,C,26.0,7-0,231.0,Kansas,947276.0
,,,,,,,,
jupyter/pliki/pan-tadeusz.txt 0 → 100644
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jupyter/pliki/pkn_d.csv 0 → 100644
Data,Otwarcie,Najwyzszy,Najnizszy,Zamkniecie,Wolumen
2020-01-02,80.984,81.714,80.235,81.414,688605
2020-01-03,80.984,81.114,79.392,80.253,778875
2020-01-07,80.404,80.497,76.92,77.052,1663814
2020-01-08,76.79,77.37,76.115,76.34,844704
2020-01-09,77.427,79.299,77.052,79.261,1305256
2020-01-10,79.579,80.085,79.13,79.991,685839
2020-01-13,80.497,80.928,79.991,80.816,1493335
2020-01-14,80.534,80.928,79.149,79.935,2532161
2020-01-15,79.598,80.197,79.261,79.655,2405076
2020-01-16,79.972,80.516,79.411,80.123,1125410
2020-01-17,79.579,81.077,79.579,80.74,753667
2020-01-20,80.291,80.74,80.253,80.272,509660
2020-01-21,80.179,80.703,79.448,79.523,874889
2020-01-22,80.253,80.516,79.579,79.579,692524
2020-01-23,79.486,81.246,79.486,80.029,1564035
2020-01-24,80.385,80.984,80.067,80.067,629197
2020-01-27,79.392,80.01,77.313,77.313,1034809
2020-01-28,77.707,77.913,76.003,76.415,1607022
2020-01-29,76.678,76.92,73.7,74.224,1672033
2020-01-30,71.154,73.007,70.03,71.154,2072317
2020-01-31,71.154,71.266,69.768,70.835,1782552
2020-02-03,70.666,70.779,67.24,68.344,2136001
2020-02-04,68.869,70.217,68.626,69.693,1140060
2020-02-05,69.749,71.94,69.187,71.734,1345266
2020-02-06,71.977,72.726,69.112,69.187,1026466
2020-02-07,69.187,69.993,68.158,69.993,848410
2020-02-10,69.412,69.524,67.446,67.933,1740484
2020-02-11,67.877,69.281,66.453,69.168,2552504
2020-02-12,69.281,69.993,68.644,69.693,1204801
2020-02-13,69.656,69.824,68.064,69.824,661525
2020-02-14,70.217,71.771,70.217,71.154,1486002
2020-02-17,71.884,72.184,70.704,70.966,393664
2020-02-18,70.217,71.584,70.03,70.686,1308292
2020-02-19,70.686,70.947,68.588,68.756,1725867
2020-02-20,68.813,69.019,67.877,68.232,1390437
2020-02-21,67.914,69.019,67.821,68.626,914946
2020-02-24,67.502,67.709,64.955,65.349,1096495
2020-02-25,65.349,65.798,63.944,63.963,1521600
2020-02-26,63.925,64.262,61.697,62.353,1621629
2020-02-27,61.941,62.371,55.893,57.016,1475448
2020-02-28,55.705,55.949,51.53,54.9,3246976
2020-03-02,57.578,58.233,55.762,56.698,2176465
2020-03-03,57.859,58.796,56.754,58.289,1926980
2020-03-04,58.047,58.047,55.275,55.275,1812016
2020-03-05,56.549,56.735,52.953,53.234,1861333
2020-03-06,52.672,52.897,50.107,50.874,1907097
2020-03-09,46.812,52.541,46.138,50.781,3340170
2020-03-10,52.298,52.691,47.804,48.141,2353160
2020-03-11,48.422,49.134,43.16,43.506,2263391
2020-03-12,41.625,43.01,39.321,40.67,2533680
2020-03-13,41.568,48.103,40.651,42.767,2945087
2020-03-16,42.776,46.156,39.949,44.939,3134143
2020-03-17,46.475,48.216,44.471,46.306,3078532
2020-03-18,46.812,48.122,44.003,44.818,2242742
2020-03-19,45.407,47.467,44.677,47.28,1984764
2020-03-20,49.339,50.257,48.385,49.227,3768139
2020-03-23,48.684,49.976,45.978,46.549,1473702
2020-03-24,49.152,49.246,46.493,46.905,1650967
2020-03-25,49.078,49.115,46.512,47.935,1433968
2020-03-26,47.467,49.527,46.905,49.527,1622502
2020-03-27,49.527,49.92,48.141,48.627,1812855
2020-03-30,49.021,49.939,47.485,49.134,1564230
2020-03-31,49.62,52.148,49.021,52.148,3006733
2020-04-01,50.557,52.372,49.62,52.036,2084978
2020-04-02,54.376,58.664,53.739,56.361,4444403
2020-04-03,57.11,59.769,55.781,56.979,8019397
2020-04-06,59.207,59.919,57.596,59.731,2546787
2020-04-07,60.668,63.588,60.668,60.761,2857806
2020-04-08,61.042,62.185,59.17,60.668,2316573
2020-04-09,61.697,62.334,59.17,60.724,2147405
2020-04-14,61.791,61.866,59.956,60.911,2677356
2020-04-15,61.417,61.417,57.971,58.047,1952406
2020-04-16,56.492,57.428,55.425,56.174,3460532
2020-04-17,57.578,57.84,56.324,57.335,2337897
2020-04-20,58.047,58.44,56.398,57.952,1837505
2020-04-21,57.298,57.298,54.488,55.237,1335596
2020-04-22,55.237,57.391,53.851,56.979,1677581
2020-04-23,57.578,57.859,56.623,57.54,1568819
2020-04-24,57.203,57.578,56.886,56.96,968737
2020-04-27,57.559,57.559,54.77,55.649,1184153
2020-04-28,55.818,57.391,54.526,56.661,1215198
2020-04-29,57.129,58.028,56.005,57.503,1813726
2020-04-30,58.028,59.357,57.765,58.384,2660948
2020-05-04,57.241,57.372,55.649,55.724,1443870
2020-05-05,55.986,57.26,55.986,56.642,1419804
2020-05-06,56.174,56.174,53.851,54.807,3708494
2020-05-07,54.975,57.335,54.114,56.979,1566476
2020-05-08,57.466,59.17,57.166,58.814,1417356
2020-05-11,58.814,59.657,58.14,58.908,960647
2020-05-12,58.982,60.855,58.72,60.424,1509756
2020-05-13,60.106,60.237,58.233,58.739,1216236
2020-05-14,58.458,58.739,56.061,57.466,1544030
2020-05-15,58.364,58.889,56.53,56.791,1028532
2020-05-18,57.672,60.48,57.578,60.35,1519160
2020-05-19,61.098,61.417,59.507,59.731,1451784
2020-05-20,59.357,60.761,59.02,60.443,1468161
2020-05-21,60.143,60.35,59.245,59.619,873098
2020-05-22,59.357,59.488,58.514,58.514,658966
2020-05-25,59.245,59.713,58.87,59.038,212537
2020-05-26,60.106,62.241,59.825,61.66,1343276
2020-05-27,62.072,65.067,61.791,62.297,1958894
2020-05-28,62.297,64.3,61.51,63.158,1326578
2020-05-29,62.727,62.896,61.098,62.503,2582913
2020-06-01,63.476,63.664,62.259,63.383,652011
2020-06-02,63.42,63.664,62.072,63.476,1732869
2020-06-03,63.664,65.106,63.495,64.375,1645390
2020-06-04,64.375,64.693,63.513,64.45,1277628
2020-06-05,64.544,68.719,64.488,68.045,2624772
2020-06-08,68.344,68.813,66.547,67.034,1741482
2020-06-09,66.94,67.202,64.674,65.087,1583036
2020-06-10,65.255,66.004,64.674,65.423,1638325
2020-06-12,62.727,63.532,60.387,62.129,1999755
2020-06-15,61.267,61.267,58.701,58.739,1753608
2020-06-16,60.031,62.971,60.031,62.259,1598937
2020-06-17,62.727,62.915,60.873,61.885,1726266
2020-06-18,61.885,62.596,60.668,61.697,1696293
2020-06-19,62.222,62.634,61.285,62.016,6588732
2020-06-22,62.072,62.072,60.855,60.967,840758
2020-06-23,61.604,63.064,61.585,62.147,1027017
2020-06-24,62.166,62.185,59.994,59.994,1088547
2020-06-25,59.919,61.192,58.758,60.499,1238365
2020-06-26,60.855,61.436,59.526,59.657,806300
2020-06-29,59.657,60.48,58.271,59.545,1103901
2020-06-30,59.731,59.994,58.196,58.626,1247363
2020-07-01,58.982,59.282,57.859,59.245,923910
2020-07-02,59.563,60.668,59.394,59.469,1358932
2020-07-03,59.825,59.843,58.552,59.394,473049
2020-07-06,60.574,60.743,58.982,59.919,1291324
2020-07-07,59.919,59.919,59.076,59.282,828400
2020-07-08,59.133,59.189,57.316,57.821,1947146
2020-07-09,58.047,58.215,56.979,57.298,1239487
2020-07-10,57.11,57.522,56.174,57.503,911538
2020-07-13,58.455,59.102,58.055,58.417,693861
2020-07-14,58.988,60.986,55.676,55.676,3333192
2020-07-15,56.59,56.59,54.591,54.743,3700929
2020-07-16,54.629,56.761,54.001,56.513,1730226
2020-07-17,56.875,57.084,55.428,56.437,791530
2020-07-20,56.38,56.951,55.333,56.323,938089
2020-07-21,56.647,57.77,56.076,56.856,1034885
2020-07-22,56.913,57.103,55.942,55.942,671039
2020-07-23,56.437,56.532,54.819,54.838,811910
2020-07-24,54.629,55.029,53.906,55.029,841622
2020-07-27,55.029,55.086,53.906,54.191,722019
2020-07-28,54.667,56.114,54.248,54.553,858813
2020-07-29,54.553,54.591,53.106,53.506,764170
2020-07-30,53.392,53.43,50.327,50.441,1029792
2020-07-31,50.632,51.869,49.756,50.708,1129789
2020-08-03,50.955,51.222,49.908,50.46,744006
2020-08-04,50.917,51.108,50.156,50.803,1143474
2020-08-05,51.393,52.897,50.822,51.469,1115476
2020-08-06,51.469,51.888,49.033,49.832,1301836
2020-08-07,49.927,51.146,49.908,51.05,824158
2020-08-10,51.393,51.488,50.175,50.632,595930
2020-08-11,50.974,52.135,50.46,51.869,1165027
2020-08-12,52.059,53.468,51.679,52.783,1270108
2020-08-13,52.935,54.934,52.726,53.011,1365700
2020-08-14,53.163,53.582,52.116,52.897,661475
2020-08-17,52.821,53.849,52.44,53.849,954393
2020-08-18,53.868,53.868,51.012,51.031,1444766
2020-08-19,51.203,51.203,50.042,50.042,1104172
2020-08-20,50.042,52.135,49.775,51.089,841473
2020-08-21,51.545,51.641,50.251,50.46,660779
2020-08-24,50.86,51.203,50.08,50.613,763306
2020-08-25,51.108,52.516,50.955,51.108,1321952
2020-08-26,51.012,52.307,50.765,51.66,1122721
2020-08-27,51.888,51.945,50.651,51.298,586436
2020-08-28,51.031,51.279,49.699,49.889,1246788
2020-08-31,50.156,50.822,48.195,48.195,2102547
2020-09-01,48.405,48.976,47.11,47.891,1137513
2020-09-02,48.31,48.652,47.462,47.872,972432
2020-09-03,48.119,48.728,47.777,48.062,750306
2020-09-04,47.7,48.747,47.586,47.853,596483
2020-09-07,48.538,48.538,47.586,48.005,338569
2020-09-08,48.214,48.367,45.55,45.778,1285003
2020-09-09,45.968,47.415,45.864,47.053,2035175
2020-09-10,47.396,47.662,45.968,46.844,739587
2020-09-11,47.072,47.12,46.273,47.12,685070
2020-09-14,47.777,47.853,46.444,46.549,514799
2020-09-15,46.634,47.025,45.883,46.254,806265
2020-09-16,46.378,46.378,45.235,45.397,804017
2020-09-17,47.053,47.472,45.254,47.472,1368214
2020-09-18,47.482,47.482,45.787,45.787,1742355
2020-09-21,45.797,46.244,44.027,44.255,1031346
2020-09-22,44.303,44.541,42.637,43.208,1319081
2020-09-23,42.875,44.027,42.847,42.989,913453
2020-09-24,42.828,42.904,41.733,41.942,1038727
2020-09-25,41.971,42.77,41.923,42.285,886999
2020-09-28,42.828,44.417,42.342,44.255,980463
2020-09-29,44.407,44.541,42.847,42.98,898619
2020-09-30,42.97,43.874,42.675,43.637,946419
2020-10-01,44.084,44.208,42.694,42.694,795945
2020-10-02,42.485,42.504,41.59,41.819,1250932
2020-10-05,42.637,44.388,42.637,43.779,1028170
2020-10-06,44.712,44.921,44.017,44.531,849092
2020-10-07,44.503,44.607,43.922,44.503,713352
2020-10-08,44.655,44.683,43.751,44.407,871380
2020-10-09,44.16,44.16,42.761,43.618,1316411
2020-10-12,43.76,43.951,42.428,42.542,1206335
2020-10-13,42.561,42.828,41.076,41.819,1492737
2020-10-14,41.876,41.933,40.753,41.21,1869983
2020-10-15,40.734,40.877,38.792,38.83,1653695
2020-10-16,38.849,40.401,38.088,40.068,1275457
2020-10-19,40.858,41.305,40.239,40.582,1327739
2020-10-20,40.543,41,39.439,40.401,911759
2020-10-21,40.439,41.019,39.782,39.782,698422
2020-10-22,39.497,40.153,39.021,39.82,890857
2020-10-23,39.991,40.639,39.535,39.744,1442084
2020-10-26,39.287,39.573,38.183,38.183,873787
2020-10-27,38.259,38.354,36.251,36.784,1989833
2020-10-28,36.166,37.117,35.404,35.918,1389770
2020-10-29,37.783,37.822,35.918,37.108,2029213
2020-10-30,37.089,37.089,35.737,36.261,1590652
2020-11-02,36.66,37.108,36.166,37.032,1299985
2020-11-03,37.308,40.81,37.212,40.705,3088969
2020-11-04,40.543,40.658,38.278,39.03,1746247
2020-11-05,39.202,39.687,38.469,38.811,1614513
2020-11-06,38.754,38.811,36.889,37.555,1370763
2020-11-09,38.183,43.208,37.612,42.961,4266300
2020-11-10,43.779,47.386,42.923,45.626,4101205
2020-11-12,45.511,46.634,43.38,44.655,2791766
2020-11-13,44.588,44.588,43.018,43.551,1235250
2020-11-16,44.579,47.282,44.36,47.206,2866561
2020-11-17,47.577,49.375,46.644,47.929,3706072
2020-11-18,47.929,49.927,47.443,49.87,1874521
2020-11-19,49.109,49.28,47.624,47.853,1678103
2020-11-20,47.872,48.005,46.016,47.624,2852561
2020-11-23,49.299,50.327,48.157,50.004,1831897
2020-11-24,50.441,51.755,50.365,51.412,2182246
2020-11-25,51.888,52.535,50.632,50.917,1983376
2020-11-26,50.936,51.564,50.594,51.393,756692
2020-11-27,51.203,51.203,50.061,50.936,901870
2020-11-30,50.251,55.276,48.233,52.668,8076121
2020-12-01,54.248,54.705,53.106,54.229,2465087
2020-12-02,54.477,54.477,52.592,53.601,1695142
2020-12-03,53.772,54.039,52.802,52.802,1538871
2020-12-04,53.696,54.819,52.992,54.724,1745016
2020-12-07,54.857,56.97,54.134,56.723,2778291
2020-12-08,56.628,57.751,55.961,57.103,2234850
2020-12-09,57.103,59.483,57.008,58.721,2701864
2020-12-10,58.778,59.35,57.199,58.988,2261919
2020-12-11,59.102,59.102,56.875,58.95,2247771
2020-12-14,59.045,60.149,57.313,57.922,1223899
2020-12-15,57.103,57.522,56.209,57.008,1205194
2020-12-16,57.065,58.531,56.837,57.161,1052708
2020-12-17,57.408,57.96,54.153,55.676,2425559
2020-12-18,55.2,56.57,55.105,55.657,2091592
2020-12-21,54.629,54.705,50.936,52.193,2209579
2020-12-22,52.288,53.772,51.622,53.544,1154114
2020-12-23,54.001,55.2,53.62,54.648,750066
2020-12-28,55.733,57.046,55.676,56.723,871385
2020-12-29,57.103,58.055,55.999,56.342,892928
2020-12-30,56.342,56.437,54.819,54.934,1525612
jupyter/pliki/sales-records.csv 0 → 100644
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jupyter/pliki/season.csv 0 → 100644
dates,day,temp,wind-speed
2/1/2012,sunny,45,12
3/1/2012,rainy,46,34
4/1/2012,hot,47,45
5/1/2012,NaN,NaN,56
6/1/2012,hot,49,Not available
7/1/2012,NaN,NaN,Not available
8/1/2012,hot,12,45
9/1/2012,rainy,23,41
10/1/2012,NaN,NaN,NaN
11/1/2012,NaN,NaN,NaN
jupyter/pliki/sprzedaz.csv 0 → 100644
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jupyter/pliki/tabele/countries.csv 0 → 100644
country_id,country_name,region
AR,Argentina,Americas
AU,Australia,Asia
BE,Belgium,Europe
BR,Brazil,Americas
CA,Canada,Americas
CH,Switzerland,Europe
CN,China,Asia
DE,Germany,Europe
DK,Denmark,Europe
EG,Egypt,Middle East and Africa
FR,France,Europe
HK,HongKong,Asia
IL,Israel,Middle East and Africa
IN,India,Asia
IT,Italy,Europe
JP,Japan,Asia
KW,Kuwait,Middle East and Africa
MX,Mexico,Americas
NG,Nigeria,Middle East and Africa
NL,Netherlands,Europe
SG,Singapore,Asia
UK,United Kingdom,Europe
US,United States of America,Americas
ZM,Zambia,Middle East and Africa
ZW,Zimbabwe,Middle East and Africa
jupyter/pliki/tabele/departments.csv 0 → 100644
department_id,department_name,manager_id,location_id
10,Administration,200,1700
20,Marketing,201,1800
30,Purchasing,114,1700
40,Human Resources,203,2400
50,Shipping,121,1500
60,IT,103,1400
70,Public Relations,204,2700
80,Sales,145,2500
90,Executive,100,1700
100,Finance,108,1700
110,Accounting,205,1700
120,Treasury,,1700
130,Corporate Tax,,1700
140,Control And Credit,,1700
150,Shareholder Services,,1700
160,Benefits,,1700
170,Manufacturing,,1700
180,Construction,,1700
190,Contracting,,1700
200,Operations,,1700
210,IT Support,,1700
220,NOC,,1700
230,IT Helpdesk,,1700
240,Government Sales,,1700
250,Retail Sales,,1700
260,Recruiting,,1700
270,Payroll,,1700
jupyter/pliki/tabele/employees.csv 0 → 100644
employee_id,first_name,last_name,email,phone_number,hire_date,job_id,salary,commission_pct,manager_id,department_id
100,Steven,King,SKING,515.123.4567,1987-06-17,AD_PRES,24000.00,,,90
101,Neena,Kochhar,NKOCHHAR,515.123.4568,1989-09-21,AD_VP,17000.00,,100,90
102,Lex,De Haan,LDEHAAN,515.123.4569,1993-01-13,AD_VP,17000.00,,100,90
103,Alexander,Hunold,AHUNOLD,590.423.4567,1990-01-03,IT_PROG,9000.00,,102,60
104,Bruce,Ernst,BERNST,590.423.4568,1991-05-21,IT_PROG,6000.00,,103,60
105,David,Austin,DAUSTIN,590.423.4569,1997-06-25,IT_PROG,4800.00,,103,60
106,Valli,Pataballa,VPATABAL,590.423.4560,1998-02-05,IT_PROG,4800.00,,103,60
107,Diana,Lorentz,DLORENTZ,590.423.5567,1999-02-07,IT_PROG,4200.00,,103,60
108,Nancy,Greenberg,NGREENBE,515.124.4569,1994-08-17,FI_MGR,12000.00,,101,100
109,Daniel,Faviet,DFAVIET,515.124.4169,1994-08-16,FI_ACCOUNT,9000.00,,108,100
110,John,Chen,JCHEN,515.124.4269,1997-09-28,FI_ACCOUNT,8200.00,,108,100
111,Ismael,Sciarra,ISCIARRA,515.124.4369,1997-09-30,FI_ACCOUNT,7700.00,,108,100
112,Jose Manuel,Urman,JMURMAN,515.124.4469,1998-03-07,FI_ACCOUNT,7800.00,,108,100
113,Luis,Popp,LPOPP,515.124.4567,1999-12-07,FI_ACCOUNT,6900.00,,108,100
114,Den,Raphaely,DRAPHEAL,515.127.4561,1994-12-07,PU_MAN,11000.00,,100,30
115,Alexander,Khoo,AKHOO,515.127.4562,1995-05-18,PU_CLERK,3100.00,,114,30
116,Shelli,Baida,SBAIDA,515.127.4563,1997-12-24,PU_CLERK,2900.00,,114,30
117,Sigal,Tobias,STOBIAS,515.127.4564,1997-07-24,PU_CLERK,2800.00,,114,30
118,Guy,Himuro,GHIMURO,515.127.4565,1998-11-15,PU_CLERK,2600.00,,114,30
119,Karen,Colmenares,KCOLMENA,515.127.4566,1999-08-10,PU_CLERK,2500.00,,114,30
120,Matthew,Weiss,MWEISS,650.123.1234,1996-07-18,ST_MAN,8000.00,,100,50
121,Adam,Fripp,AFRIPP,650.123.2234,1997-04-10,ST_MAN,8200.00,,100,50
122,Payam,Kaufling,PKAUFLIN,650.123.3234,1995-05-01,ST_MAN,7900.00,,100,50
123,Shanta,Vollman,SVOLLMAN,650.123.4234,1997-10-10,ST_MAN,6500.00,,100,50
124,Kevin,Mourgos,KMOURGOS,650.123.5234,1999-11-16,ST_MAN,5800.00,,100,50
125,Julia,Nayer,JNAYER,650.124.1214,1997-07-16,ST_CLERK,3200.00,,120,50
126,Irene,Mikkilineni,IMIKKILI,650.124.1224,1998-09-28,ST_CLERK,2700.00,,120,50
127,James,Landry,JLANDRY,650.124.1334,1999-01-14,ST_CLERK,2400.00,,120,50
128,Steven,Markle,SMARKLE,650.124.1434,2000-03-08,ST_CLERK,2200.00,,120,50
129,Laura,Bissot,LBISSOT,650.124.5234,1997-08-20,ST_CLERK,3300.00,,121,50
130,Mozhe,Atkinson,MATKINSO,650.124.6234,1997-10-30,ST_CLERK,2800.00,,121,50
131,James,Marlow,JAMRLOW,650.124.7234,1997-02-16,ST_CLERK,2500.00,,121,50
132,TJ,Olson,TJOLSON,650.124.8234,1999-04-10,ST_CLERK,2100.00,,121,50
133,Jason,Mallin,JMALLIN,650.127.1934,1996-06-14,ST_CLERK,3300.00,,122,50
134,Michael,Rogers,MROGERS,650.127.1834,1998-08-26,ST_CLERK,2900.00,,122,50
135,Ki,Gee,KGEE,650.127.1734,1999-12-12,ST_CLERK,2400.00,,122,50
136,Hazel,Philtanker,HPHILTAN,650.127.1634,2000-02-06,ST_CLERK,2200.00,,122,50
137,Renske,Ladwig,RLADWIG,650.121.1234,1995-07-14,ST_CLERK,3600.00,,123,50
138,Stephen,Stiles,SSTILES,650.121.2034,1997-10-26,ST_CLERK,3200.00,,123,50
139,John,Seo,JSEO,650.121.2019,1998-02-12,ST_CLERK,2700.00,,123,50
140,Joshua,Patel,JPATEL,650.121.1834,1998-04-06,ST_CLERK,2500.00,,123,50
141,Trenna,Rajs,TRAJS,650.121.8009,1995-10-17,ST_CLERK,3500.00,,124,50
142,Curtis,Davies,CDAVIES,650.121.2994,1997-01-29,ST_CLERK,3100.00,,124,50
143,Randall,Matos,RMATOS,650.121.2874,1998-03-15,ST_CLERK,2600.00,,124,50
144,Peter,Vargas,PVARGAS,650.121.2004,1998-07-09,ST_CLERK,2500.00,,124,50
145,John,Russell,JRUSSEL,011.44.1344.429268,1996-10-01,SA_MAN,14000.00,0.40,100,80
146,Karen,Partners,KPARTNER,011.44.1344.467268,1997-01-05,SA_MAN,13500.00,0.30,100,80
147,Alberto,Errazuriz,AERRAZUR,011.44.1344.429278,1997-03-10,SA_MAN,12000.00,0.30,100,80
148,Gerald,Cambrault,GCAMBRAU,011.44.1344.619268,1999-10-15,SA_MAN,11000.00,0.30,100,80
149,Eleni,Zlotkey,EZLOTKEY,011.44.1344.429018,2000-01-29,SA_MAN,10500.00,0.20,100,80
150,Peter,Tucker,PTUCKER,011.44.1344.129268,1997-01-30,SA_REP,10000.00,0.30,145,80
151,David,Bernstein,DBERNSTE,011.44.1344.345268,1997-03-24,SA_REP,9500.00,0.25,145,80
152,Peter,Hall,PHALL,011.44.1344.478968,1997-08-20,SA_REP,9000.00,0.25,145,80
153,Christopher,Olsen,COLSEN,011.44.1344.498718,1998-03-30,SA_REP,8000.00,0.20,145,80
154,Nanette,Cambrault,NCAMBRAU,011.44.1344.987668,1998-12-09,SA_REP,7500.00,0.20,145,80
155,Oliver,Tuvault,OTUVAULT,011.44.1344.486508,1999-11-23,SA_REP,7000.00,0.15,145,80
156,Janette,King,JKING,011.44.1345.429268,1996-01-30,SA_REP,10000.00,0.35,146,80
157,Patrick,Sully,PSULLY,011.44.1345.929268,1996-03-04,SA_REP,9500.00,0.35,146,80
158,Allan,McEwen,AMCEWEN,011.44.1345.829268,1996-08-01,SA_REP,9000.00,0.35,146,80
159,Lindsey,Smith,LSMITH,011.44.1345.729268,1997-03-10,SA_REP,8000.00,0.30,146,80
160,Louise,Doran,LDORAN,011.44.1345.629268,1997-12-15,SA_REP,7500.00,0.30,146,80
161,Sarath,Sewall,SSEWALL,011.44.1345.529268,1998-11-03,SA_REP,7000.00,0.25,146,80
162,Clara,Vishney,CVISHNEY,011.44.1346.129268,1997-11-11,SA_REP,10500.00,0.25,147,80
163,Danielle,Greene,DGREENE,011.44.1346.229268,1999-03-19,SA_REP,9500.00,0.15,147,80
164,Mattea,Marvins,MMARVINS,011.44.1346.329268,2000-01-24,SA_REP,7200.00,0.10,147,80
165,David,Lee,DLEE,011.44.1346.529268,2000-02-23,SA_REP,6800.00,0.10,147,80
166,Sundar,Ande,SANDE,011.44.1346.629268,2000-03-24,SA_REP,6400.00,0.10,147,80
167,Amit,Banda,ABANDA,011.44.1346.729268,2000-04-21,SA_REP,6200.00,0.10,147,80
168,Lisa,Ozer,LOZER,011.44.1343.929268,1997-03-11,SA_REP,11500.00,0.25,148,80
169,Harrison,Bloom,HBLOOM,011.44.1343.829268,1998-03-23,SA_REP,10000.00,0.20,148,80
170,Tayler,Fox,TFOX,011.44.1343.729268,1998-01-24,SA_REP,9600.00,0.20,148,80
171,William,Smith,WSMITH,011.44.1343.629268,1999-02-23,SA_REP,7400.00,0.15,148,80
172,Elizabeth,Bates,EBATES,011.44.1343.529268,1999-03-24,SA_REP,7300.00,0.15,148,80
173,Sundita,Kumar,SKUMAR,011.44.1343.329268,2000-04-21,SA_REP,6100.00,0.10,148,80
174,Ellen,Abel,EABEL,011.44.1644.429267,1996-05-11,SA_REP,11000.00,0.30,149,80
175,Alyssa,Hutton,AHUTTON,011.44.1644.429266,1997-03-19,SA_REP,8800.00,0.25,149,80
176,Jonathon,Taylor,JTAYLOR,011.44.1644.429265,1998-03-24,SA_REP,8600.00,0.20,149,80
177,Jack,Livingston,JLIVINGS,011.44.1644.429264,1998-04-23,SA_REP,8400.00,0.20,149,80
178,Kimberely,Grant,KGRANT,011.44.1644.429263,1999-05-24,SA_REP,7000.00,0.15,149,
179,Charles,Johnson,CJOHNSON,011.44.1644.429262,2000-01-04,SA_REP,6200.00,0.10,149,80
180,Winston,Taylor,WTAYLOR,650.507.9876,1998-01-24,SH_CLERK,3200.00,,120,50
181,Jean,Fleaur,JFLEAUR,650.507.9877,1998-02-23,SH_CLERK,3100.00,,120,50
182,Martha,Sullivan,MSULLIVA,650.507.9878,1999-06-21,SH_CLERK,2500.00,,120,50
183,Girard,Geoni,GGEONI,650.507.9879,2000-02-03,SH_CLERK,2800.00,,120,50
184,Nandita,Sarchand,NSARCHAN,650.509.1876,1996-01-27,SH_CLERK,4200.00,,121,50
185,Alexis,Bull,ABULL,650.509.2876,1997-02-20,SH_CLERK,4100.00,,121,50
186,Julia,Dellinger,JDELLING,650.509.3876,1998-06-24,SH_CLERK,3400.00,,121,50
187,Anthony,Cabrio,ACABRIO,650.509.4876,1999-02-07,SH_CLERK,3000.00,,121,50
188,Kelly,Chung,KCHUNG,650.505.1876,1997-06-14,SH_CLERK,3800.00,,122,50
189,Jennifer,Dilly,JDILLY,650.505.2876,1997-08-13,SH_CLERK,3600.00,,122,50
190,Timothy,Gates,TGATES,650.505.3876,1998-07-11,SH_CLERK,2900.00,,122,50
191,Randall,Perkins,RPERKINS,650.505.4876,1999-12-19,SH_CLERK,2500.00,,122,50
192,Sarah,Bell,SBELL,650.501.1876,1996-02-04,SH_CLERK,4000.00,,123,50
193,Britney,Everett,BEVERETT,650.501.2876,1997-03-03,SH_CLERK,3900.00,,123,50
194,Samuel,McCain,SMCCAIN,650.501.3876,1998-07-01,SH_CLERK,3200.00,,123,50
195,Vance,Jones,VJONES,650.501.4876,1999-03-17,SH_CLERK,2800.00,,123,50
196,Alana,Walsh,AWALSH,650.507.9811,1998-04-24,SH_CLERK,3100.00,,124,50
197,Kevin,Feeney,KFEENEY,650.507.9822,1998-05-23,SH_CLERK,3000.00,,124,50
198,Donald,OConnell,DOCONNEL,650.507.9833,1999-06-21,SH_CLERK,2600.00,,124,50
199,Douglas,Grant,DGRANT,650.507.9844,2000-01-13,SH_CLERK,2600.00,,124,50
200,Jennifer,Whalen,JWHALEN,515.123.4444,1987-09-17,AD_ASST,4400.00,,101,10
201,Michael,Hartstein,MHARTSTE,515.123.5555,1996-02-17,MK_MAN,13000.00,,100,20
202,Pat,Fay,PFAY,603.123.6666,1997-08-17,MK_REP,6000.00,,201,20
203,Susan,Mavris,SMAVRIS,515.123.7777,1994-06-07,HR_REP,6500.00,,101,40
204,Hermann,Baer,HBAER,515.123.8888,1994-06-07,PR_REP,10000.00,,101,70
205,Shelley,Higgins,SHIGGINS,515.123.8080,1994-06-07,AC_MGR,12000.00,,101,110
206,William,Gietz,WGIETZ,515.123.8181,1994-06-07,AC_ACCOUNT,8300.00,,205,110
jupyter/pliki/tabele/jobs.csv 0 → 100644
job_id,job_title,min_salary,max_salary
AD_PRES,President,20000.00,40000.00
AD_VP,Administration Vice President,15000.00,30000.00
AD_ASST,Administration Assistant,3000.00,6000.00
FI_MGR,Finance Manager,8200.00,16000.00
FI_ACCOUNT,Accountant,4200.00,9000.00
AC_MGR,Accounting Manager,8200.00,16000.00
AC_ACCOUNT,Public Accountant,4200.00,9000.00
SA_MAN,Sales Manager,10000.00,20000.00
SA_REP,Sales Representative,6000.00,12000.00
PU_MAN,Purchasing Manager,8000.00,15000.00
PU_CLERK,Purchasing Clerk,2500.00,5500.00
ST_MAN,Stock Manager,5500.00,8500.00
ST_CLERK,Stock Clerk,2000.00,5000.00
SH_CLERK,Shipping Clerk,2500.00,5500.00
IT_PROG,Programmer,4000.00,10000.00
MK_MAN,Marketing Manager,9000.00,15000.00
MK_REP,Marketing Representative,4000.00,9000.00
HR_REP,Human Resources Representative,4000.00,9000.00
PR_REP,Public Relations Representative,4500.00,10500.00
jupyter/pliki/tabele/locations.csv 0 → 100644
location_id,street_address,postal_code,city,state_province,country_id
1000,1297 Via Cola di Rie,00989,Roma,,IT
1100,93091 Calle della Testa,10934,Venice,,IT
1200,2017 Shinjuku-ku,1689,Tokyo,Tokyo Prefecture,JP
1300,9450 Kamiya-cho,6823,Hiroshima,,JP
1400,2014 Jabberwocky Rd,26192,Southlake,Texas,US
1500,2011 Interiors Blvd,99236,South San Francisco,California,US
1600,2007 Zagora St,50090,South Brunswick,New Jersey,US
1700,2004 Charade Rd,98199,Seattle,Washington,US
1800,147 Spadina Ave,M5V 2L7,Toronto,Ontario,CA
1900,6092 Boxwood St,YSW 9T2,Whitehorse,Yukon,CA
2000,40-5-12 Laogianggen,190518,Beijing,,CN
2100,1298 Vileparle (E),490231,Bombay,Maharashtra,IN
2200,12-98 Victoria Street,2901,Sydney,New South Wales,AU
2300,198 Clementi North,540198,Singapore,,SG
2400,8204 Arthur St,,London,,UK
2500,"Magdalen Centre, The Oxford Science Park",OX9 9ZB,Oxford,Oxford,UK
2600,9702 Chester Road,09629850293,Stretford,Manchester,UK
2700,Schwanthalerstr. 7031,80925,Munich,Bavaria,DE
2800,Rua Frei Caneca 1360 ,01307-002,Sao Paulo,Sao Paulo,BR
2900,20 Rue des Corps-Saints,1730,Geneva,Geneve,CH
3000,Murtenstrasse 921,3095,Bern,BE,CH
3100,Pieter Breughelstraat 837,3029SK,Utrecht,Utrecht,NL
3200,Mariano Escobedo 9991,11932,Mexico City,"Distrito Federal,",MX
jupyter/pliki/travel.csv 0 → 100644
Age,Name,No_of_pkg,Package,travel_id
20yrs,Bikash Kumar,1 packages,$100 ,1
21yrs,Ashish Shaw,5 packages,$200 ,2
23years,Dipak Kumar,2pkgs,$100 ,3
20 Years,John Doe,3 pkgs,$100 ,4
2000,Elisha,5000,$400 ,5
5000,Md Shahid,10 packages,$200 ,6
21 yrs,Adrika Roy,7pkgs,$300 ,7
24 yrs,Shashi Kumar,2000,$500 ,8
jupyter/pliki/world.csv 0 → 100644
,Country,Region,Happiness Rank,Happiness Score,Economy (GDP per Capita),Family,Health (Life Expectancy),Freedom,Trust (Government Corruption),Generosity,Dystopia Residual,Year
0,Afghanistan,Southern Asia,153.0,3.575,0.31982,0.30285,0.30335,0.23414000000000001,0.09719,0.3651,1.9521,2015
1,Albania,Central and Eastern Europe,95.0,4.959,0.8786700000000001,0.8043399999999999,0.81325,0.35733000000000004,0.06412999999999999,0.14272,1.89894,2015
2,Algeria,Middle East and Northern Africa,68.0,5.605,0.93929,1.07772,0.61766,0.28579,0.17382999999999998,0.07822,2.43209,2015
3,Angola,Sub-Saharan Africa,137.0,4.033,0.75778,0.8604,0.16683,0.10384000000000002,0.07122,0.12344000000000001,1.9493900000000002,2015
4,Argentina,Latin America and Caribbean,30.0,6.574,1.05351,1.24823,0.78723,0.44974,0.08484,0.11450999999999999,2.8360000000000003,2015
5,Armenia,Central and Eastern Europe,127.0,4.35,0.7682100000000001,0.7771100000000001,0.7299,0.19847,0.039,0.07855,1.75873,2015
6,Australia,Australia and New Zealand,10.0,7.284,1.33358,1.30923,0.93156,0.6512399999999999,0.35636999999999996,0.43562,2.26646,2015
7,Austria,Western Europe,13.0,7.2,1.33723,1.29704,0.8904200000000001,0.62433,0.18675999999999998,0.33088,2.5332,2015
8,Azerbaijan,Central and Eastern Europe,80.0,5.212000000000001,1.02389,0.9379299999999999,0.64045,0.3703,0.16065,0.07799,2.00073,2015
9,Bahrain,Middle East and Northern Africa,49.0,5.96,1.32376,1.21624,0.74716,0.45492,0.306,0.17362,1.73797,2015
10,Bangladesh,Southern Asia,109.0,4.694,0.39753,0.43106000000000005,0.60164,0.4082,0.12569,0.21222,2.51767,2015
11,Belarus,Central and Eastern Europe,59.0,5.813,1.0319200000000002,1.23289,0.7360800000000001,0.37938,0.1909,0.11045999999999999,2.1309,2015
12,Belgium,Western Europe,19.0,6.937,1.30782,1.28566,0.8966700000000001,0.5845,0.2254,0.2225,2.4148400000000003,2015
13,Belize,Latin America and Caribbean,,,,,,,,,,2015
14,Benin,Sub-Saharan Africa,155.0,3.34,0.28665,0.35386,0.3191,0.4845,0.0801,0.1826,1.6332799999999998,2015
15,Bhutan,Southern Asia,79.0,5.252999999999999,0.77042,1.10395,0.57407,0.5320600000000001,0.15445,0.47998,1.63794,2015
16,Bolivia,Latin America and Caribbean,51.0,5.89,0.68133,0.97841,0.5392,0.57414,0.08800000000000001,0.20536,2.82334,2015
17,Bosnia And Herzegovina,Central and Eastern Europe,96.0,4.949,0.8322299999999999,0.9191600000000001,0.79081,0.09245,0.00227,0.24808000000000002,2.06367,2015
18,Botswana,Sub-Saharan Africa,128.0,4.332,0.99355,1.10464,0.047760000000000004,0.49495,0.12474,0.10461,1.46181,2015
19,Brazil,Latin America and Caribbean,16.0,6.983,0.98124,1.2328700000000001,0.69702,0.49049,0.17521,0.14574,3.26001,2015
20,Bulgaria,Central and Eastern Europe,134.0,4.218,1.01216,1.10614,0.76649,0.30587,0.00872,0.11921,0.89991,2015
21,Burkina Faso,Sub-Saharan Africa,152.0,3.5869999999999997,0.25811999999999996,0.85188,0.27125,0.39493,0.12832000000000002,0.21746999999999997,1.46494,2015
22,Burundi,Sub-Saharan Africa,157.0,2.905,0.0153,0.41586999999999996,0.22396,0.1185,0.10062,0.19727,1.83302,2015
23,Cambodia,Southeastern Asia,145.0,3.819,0.46038,0.62736,0.61114,0.66246,0.07247,0.40359,0.98195,2015
24,Cameroon,Sub-Saharan Africa,133.0,4.252,0.4225,0.8876700000000001,0.23401999999999998,0.49309,0.05786,0.20618000000000003,1.95071,2015
25,Canada,North America,5.0,7.4270000000000005,1.32629,1.32261,0.9056299999999999,0.63297,0.32957,0.45811,2.4517599999999997,2015
26,Central African Republic,Sub-Saharan Africa,148.0,3.678,0.0785,0.0,0.06699,0.48878999999999995,0.08288999999999999,0.23835,2.7223,2015
27,Chad,Sub-Saharan Africa,149.0,3.667,0.34193,0.76062,0.1501,0.23501,0.05269,0.18386,1.9429599999999998,2015
28,Chile,Latin America and Caribbean,27.0,6.67,1.10715,1.12447,0.85857,0.44132,0.12869,0.33363000000000004,2.67585,2015
29,China,Eastern Asia,84.0,5.14,0.89012,0.94675,0.81658,0.5169699999999999,0.02781,0.08185,1.8604,2015
30,Colombia,Latin America and Caribbean,33.0,6.477,0.91861,1.2401799999999998,0.69077,0.53466,0.0512,0.18400999999999998,2.85737,2015
31,Comoros,Sub-Saharan Africa,140.0,3.9560000000000004,0.23906,0.79273,0.36315,0.22916999999999998,0.19899999999999998,0.17440999999999998,1.95812,2015
32,Congo (Brazzaville),Sub-Saharan Africa,139.0,3.989,0.67866,0.6629,0.31051,0.41466000000000003,0.11685999999999999,0.12387999999999999,1.68135,2015
33,Congo (Kinshasa),Sub-Saharan Africa,120.0,4.5169999999999995,0.0,1.0012,0.09806000000000001,0.22605,0.07625,0.24834,2.86712,2015
34,Costa Rica,Latin America and Caribbean,12.0,7.226,0.95578,1.2378799999999999,0.8602700000000001,0.63376,0.10583,0.25497,3.17728,2015
35,Croatia,Central and Eastern Europe,62.0,5.7589999999999995,1.08254,0.79624,0.78805,0.25883,0.0243,0.054439999999999995,2.75414,2015
36,Cyprus,Western Europe,67.0,5.689,1.20813,0.89318,0.92356,0.40671999999999997,0.06146,0.30638000000000004,1.8893099999999998,2015
37,Czech Republic,Central and Eastern Europe,31.0,6.505,1.17898,1.20643,0.84483,0.46363999999999994,0.02652,0.10686,2.67782,2015
38,Denmark,Western Europe,3.0,7.527,1.32548,1.36058,0.87464,0.6493800000000001,0.48357,0.34139,2.4920400000000003,2015
39,Djibouti,Sub-Saharan Africa,126.0,4.369,0.44025,0.59207,0.36291,0.46074,0.28105,0.18093,2.05125,2015
40,Dominican Republic,Latin America and Caribbean,98.0,4.885,0.8953700000000001,1.17202,0.66825,0.57672,0.14234000000000002,0.21684,1.21305,2015
41,Ecuador,Latin America and Caribbean,48.0,5.975,0.8640200000000001,0.99903,0.79075,0.48573999999999995,0.1809,0.11540999999999998,2.5394200000000002,2015
42,Egypt,Middle East and Northern Africa,135.0,4.194,0.8818,0.747,0.61712,0.17288,0.06324,0.11291,1.59927,2015
43,El Salvador,Latin America and Caribbean,42.0,6.13,0.76454,1.0250700000000001,0.67737,0.4035,0.11775999999999999,0.10692,3.035,2015
44,Estonia,Central and Eastern Europe,73.0,5.428999999999999,1.15174,1.22791,0.77361,0.44888,0.15184,0.0868,1.58782,2015
45,Ethiopia,Sub-Saharan Africa,122.0,4.512,0.19072999999999998,0.60406,0.44055,0.4345,0.15048,0.24325,2.44876,2015
46,Finland,Western Europe,6.0,7.406000000000001,1.29025,1.31826,0.8891100000000001,0.64169,0.41372,0.23351,2.61955,2015
47,France,Western Europe,29.0,6.575,1.27778,1.2603799999999998,0.9457899999999999,0.55011,0.20646,0.12332,2.21126,2015
48,Gabon,Sub-Saharan Africa,143.0,3.8960000000000004,1.06024,0.90528,0.43372,0.31914000000000003,0.11091,0.06822,0.99895,2015
49,Georgia,Central and Eastern Europe,130.0,4.297,0.7419,0.38561999999999996,0.72926,0.40576999999999996,0.38331,0.055470000000000005,1.59541,2015
50,Germany,Western Europe,26.0,6.75,1.32792,1.2993700000000001,0.89186,0.6147699999999999,0.21843,0.28214,2.1156900000000003,2015
51,Ghana,Sub-Saharan Africa,114.0,4.633,0.5455800000000001,0.6795399999999999,0.40131999999999995,0.42341999999999996,0.04355,0.23087,2.30919,2015
52,Greece,Western Europe,102.0,4.857,1.15406,0.9293299999999999,0.88213,0.07699,0.013969999999999998,0.0,1.8010099999999998,2015
53,Guatemala,Latin America and Caribbean,43.0,6.122999999999999,0.74553,1.04356,0.64425,0.57733,0.09472,0.27489,2.74255,2015
54,Guinea,Sub-Saharan Africa,150.0,3.656,0.17417,0.46475,0.24009,0.37725,0.12139000000000001,0.28657,1.9917200000000002,2015
55,Haiti,Latin America and Caribbean,119.0,4.518,0.26673,0.74302,0.38847,0.24425,0.17175,0.46187,2.24173,2015
56,Honduras,Latin America and Caribbean,105.0,4.788,0.59532,0.9534799999999999,0.6951,0.40148,0.06825,0.23026999999999997,1.84408,2015
57,Hong Kong,Eastern Asia,72.0,5.474,1.38604,1.05818,1.01328,0.59608,0.37124,0.39478,0.6542899999999999,2015
58,"Hong Kong S.A.R., China",Eastern Asia,,,,,,,,,,2015
59,Hungary,Central and Eastern Europe,104.0,4.8,1.12094,1.20215,0.75905,0.32111999999999996,0.02758,0.128,1.24074,2015
60,Iceland,Western Europe,2.0,7.561,1.3023200000000001,1.4022299999999999,0.94784,0.6287699999999999,0.14145,0.4363,2.70201,2015
61,India,Southern Asia,117.0,4.565,0.64499,0.38174,0.5152899999999999,0.39786,0.08492000000000001,0.26475,2.27513,2015
62,Indonesia,Southeastern Asia,74.0,5.399,0.8282700000000001,1.0870799999999998,0.63793,0.46611,0.0,0.51535,1.86399,2015
63,Iran,Middle East and Northern Africa,110.0,4.686,1.0088,0.54447,0.69805,0.30033000000000004,0.058629999999999995,0.38086,1.6944,2015
64,Iraq,Middle East and Northern Africa,112.0,4.677,0.98549,0.81889,0.60237,0.0,0.13788,0.17922000000000002,1.95335,2015
65,Ireland,Western Europe,18.0,6.94,1.33596,1.36948,0.89533,0.6177699999999999,0.28703,0.45901000000000003,1.9757,2015
66,Israel,Middle East and Northern Africa,11.0,7.278,1.2285700000000002,1.22393,0.9138700000000001,0.41318999999999995,0.07785,0.33171999999999996,3.08854,2015
67,Italy,Western Europe,50.0,5.9479999999999995,1.25114,1.19777,0.9544600000000001,0.26236,0.02901,0.22823000000000002,2.0251799999999998,2015
68,Ivory Coast,Sub-Saharan Africa,151.0,3.655,0.46534,0.77115,0.15185,0.46866,0.17922000000000002,0.20165,1.41723,2015
69,Jamaica,Latin America and Caribbean,65.0,5.709,0.81038,1.1510200000000002,0.6874100000000001,0.50442,0.02299,0.2123,2.32038,2015
70,Japan,Eastern Asia,46.0,5.987,1.27074,1.25712,0.99111,0.49615,0.1806,0.10705,1.68435,2015
71,Jordan,Middle East and Northern Africa,82.0,5.192,0.9019799999999999,1.05392,0.69639,0.40660999999999997,0.14293,0.11052999999999999,1.8799599999999999,2015
72,Kazakhstan,Central and Eastern Europe,54.0,5.855,1.1225399999999999,1.1224100000000001,0.64368,0.51649,0.08454,0.11827,2.24729,2015
73,Kenya,Sub-Saharan Africa,125.0,4.419,0.36471,0.99876,0.41435,0.42215,0.05839,0.37542,1.78555,2015
74,Kosovo,Central and Eastern Europe,69.0,5.5889999999999995,0.80148,0.81198,0.63132,0.24749000000000002,0.04741,0.2831,2.76579,2015
75,Kuwait,Middle East and Northern Africa,39.0,6.295,1.5542200000000002,1.16594,0.72492,0.55499,0.25609,0.16228,1.8763400000000001,2015
76,Kyrgyzstan,Central and Eastern Europe,77.0,5.2860000000000005,0.47428000000000003,1.15115,0.65088,0.43477,0.042319999999999997,0.3003,2.2327,2015
77,Laos,Southeastern Asia,99.0,4.876,0.5906600000000001,0.73803,0.54909,0.59591,0.24249,0.42191999999999996,1.7379900000000001,2015
78,Latvia,Central and Eastern Europe,89.0,5.098,1.11312,1.09562,0.72437,0.29671,0.06332,0.18225999999999998,1.62215,2015
79,Lebanon,Middle East and Northern Africa,103.0,4.8389999999999995,1.0256399999999999,0.80001,0.83947,0.33916,0.04582,0.21854,1.57059,2015
80,Lesotho,Sub-Saharan Africa,97.0,4.898,0.37545,1.04103,0.07612000000000001,0.31767,0.12504,0.16388,2.79832,2015
81,Liberia,Sub-Saharan Africa,116.0,4.571000000000001,0.0712,0.78968,0.34201,0.28531,0.06232000000000001,0.24361999999999998,2.7772900000000003,2015
82,Libya,Middle East and Northern Africa,63.0,5.754,1.13145,1.1186200000000002,0.7038,0.41668,0.11023,0.18295,2.0906599999999997,2015
83,Lithuania,Central and Eastern Europe,56.0,5.832999999999999,1.14723,1.25745,0.73128,0.21341999999999997,0.01031,0.026410000000000003,2.4464900000000003,2015
84,Luxembourg,Western Europe,17.0,6.946000000000001,1.5639100000000001,1.21963,0.91894,0.61583,0.37798000000000004,0.28034000000000003,1.9696099999999999,2015
85,Macedonia,Central and Eastern Europe,93.0,5.007,0.91851,1.00232,0.73545,0.33457,0.053270000000000005,0.22359,1.7393299999999998,2015
86,Madagascar,Sub-Saharan Africa,147.0,3.681,0.20824,0.66801,0.46721,0.19184,0.08123999999999999,0.21333000000000002,1.851,2015
87,Malawi,Sub-Saharan Africa,131.0,4.292,0.016040000000000002,0.41134,0.22562,0.43054,0.06977,0.33128,2.8079099999999997,2015
88,Malaysia,Southeastern Asia,61.0,5.77,1.12486,1.07023,0.7239399999999999,0.5302399999999999,0.10500999999999999,0.33075,1.8854099999999998,2015
89,Mali,Sub-Saharan Africa,138.0,3.995,0.26074,1.03526,0.20583,0.38856999999999997,0.12352,0.18798,1.79293,2015
90,Malta,Western Europe,37.0,6.3020000000000005,1.2074,1.30203,0.88721,0.60365,0.13585999999999998,0.51752,1.6488,2015
91,Mauritania,Sub-Saharan Africa,124.0,4.436,0.45407,0.86908,0.35874,0.24231999999999998,0.17461,0.21899999999999997,2.11773,2015
92,Mauritius,Sub-Saharan Africa,71.0,5.477,1.0076100000000001,0.98521,0.7095,0.56066,0.07521,0.37744,1.76145,2015
93,Mexico,Latin America and Caribbean,14.0,7.187,1.02054,0.91451,0.8144399999999999,0.48181,0.21311999999999998,0.14074,3.6021400000000003,2015
94,Moldova,Central and Eastern Europe,52.0,5.888999999999999,0.59448,1.01528,0.61826,0.32818,0.01615,0.20951,3.10712,2015
95,Mongolia,Eastern Asia,100.0,4.874,0.82819,1.3006,0.60268,0.43626000000000004,0.026660000000000003,0.3323,1.34759,2015
96,Montenegro,Central and Eastern Europe,82.0,5.192,0.9743799999999999,0.9055700000000001,0.72521,0.1826,0.14296,0.1614,2.10017,2015
97,Morocco,Middle East and Northern Africa,92.0,5.013,0.7347899999999999,0.64095,0.60954,0.41691000000000006,0.08546000000000001,0.07172,2.4537299999999997,2015
98,Mozambique,Sub-Saharan Africa,94.0,4.971,0.08308,1.02626,0.09131,0.34037,0.15603,0.22269,3.05137,2015
99,Myanmar,Southeastern Asia,129.0,4.3069999999999995,0.27108000000000004,0.70905,0.48246000000000006,0.44017,0.19034,0.79588,1.41805,2015
100,Namibia,Sub-Saharan Africa,,,,,,,,,,2015
101,Nepal,Southern Asia,121.0,4.513999999999999,0.35996999999999996,0.86449,0.5687399999999999,0.38282,0.059070000000000004,0.32295999999999997,1.9563700000000002,2015
102,Netherlands,Western Europe,7.0,7.377999999999999,1.32944,1.28017,0.89284,0.6157600000000001,0.31814000000000003,0.4761,2.4657,2015
103,New Zealand,Australia and New Zealand,9.0,7.2860000000000005,1.2501799999999998,1.3196700000000001,0.9083700000000001,0.6393800000000001,0.42922,0.47501000000000004,2.26425,2015
104,Nicaragua,Latin America and Caribbean,57.0,5.827999999999999,0.59325,1.14184,0.7431399999999999,0.55475,0.19317,0.27815,2.32407,2015
105,Niger,Sub-Saharan Africa,144.0,3.845,0.0694,0.77265,0.29707,0.47691999999999996,0.15639,0.19387000000000001,1.87877,2015
106,Nigeria,Sub-Saharan Africa,78.0,5.268,0.65435,0.9043200000000001,0.16007000000000002,0.34334000000000003,0.0403,0.27233,2.89319,2015
107,North Cyprus,Western Europe,66.0,5.695,1.2080600000000001,1.07008,0.92356,0.49027,0.1428,0.26169000000000003,1.5988799999999999,2015
108,Norway,Western Europe,4.0,7.522,1.459,1.33095,0.88521,0.66973,0.36503,0.34699,2.4653099999999997,2015
109,Oman,Middle East and Northern Africa,22.0,6.853,1.36011,1.08182,0.76276,0.63274,0.32524000000000003,0.21541999999999997,2.4748900000000003,2015
110,Pakistan,Southern Asia,81.0,5.194,0.59543,0.41411000000000003,0.51466,0.12102,0.10464000000000001,0.33671,3.1070900000000004,2015
111,Palestinian Territories,Middle East and Northern Africa,108.0,4.715,0.59867,0.92558,0.66015,0.24499,0.12905,0.11250999999999999,2.0438400000000003,2015
112,Panama,Latin America and Caribbean,25.0,6.7860000000000005,1.0635299999999999,1.1985,0.79661,0.5421,0.0927,0.24434,2.84848,2015
113,Paraguay,Latin America and Caribbean,53.0,5.877999999999999,0.75985,1.30477,0.66098,0.53899,0.08242000000000001,0.3424,2.18896,2015
114,Peru,Latin America and Caribbean,58.0,5.824,0.9001899999999999,0.97459,0.73017,0.41496000000000005,0.05989,0.14982,2.5945,2015
115,Philippines,Southeastern Asia,90.0,5.073,0.70532,1.03516,0.58114,0.62545,0.12279000000000001,0.24991,1.7536,2015
116,Poland,Central and Eastern Europe,60.0,5.791,1.12555,1.27948,0.77903,0.53122,0.04212,0.16759000000000002,1.86565,2015
117,Portugal,Western Europe,88.0,5.102,1.15991,1.13935,0.8751899999999999,0.51469,0.01078,0.13719,1.26462,2015
118,Puerto Rico,Latin America and Caribbean,,,,,,,,,,2015
119,Qatar,Middle East and Northern Africa,28.0,6.611000000000001,1.69042,1.0786,0.79733,0.6404,0.52208,0.32573,1.55674,2015
120,Romania,Central and Eastern Europe,86.0,5.124,1.04345,0.8858799999999999,0.7689,0.35068,0.006490000000000001,0.13748,1.9312900000000002,2015
121,Russia,Central and Eastern Europe,64.0,5.716,1.13764,1.23617,0.6692600000000001,0.36679,0.03005,0.00199,2.27394,2015
122,Rwanda,Sub-Saharan Africa,154.0,3.465,0.22208000000000003,0.7737,0.42863999999999997,0.59201,0.55191,0.22628,0.67042,2015
123,Saudi Arabia,Middle East and Northern Africa,35.0,6.4110000000000005,1.39541,1.0839299999999998,0.72025,0.31048000000000003,0.32524000000000003,0.13706,2.43872,2015
124,Senegal,Sub-Saharan Africa,142.0,3.904,0.36498,0.97619,0.4354,0.36772,0.10712999999999999,0.20843000000000003,1.44395,2015
125,Serbia,Central and Eastern Europe,87.0,5.122999999999999,0.92053,1.0096399999999999,0.74836,0.20107,0.02617,0.19230999999999998,2.025,2015
126,Sierra Leone,Sub-Saharan Africa,123.0,4.507,0.33024000000000003,0.9557100000000001,0.0,0.4084,0.08786000000000001,0.21488000000000002,2.51009,2015
127,Singapore,Southeastern Asia,24.0,6.797999999999999,1.52186,1.02,1.02525,0.54252,0.4921,0.31105,1.8850099999999999,2015
128,Slovakia,Central and Eastern Europe,45.0,5.995,1.1689100000000001,1.26999,0.7890199999999999,0.31751,0.03431,0.16893,2.2463900000000003,2015
129,Slovenia,Central and Eastern Europe,55.0,5.848,1.18498,1.27385,0.8733700000000001,0.60855,0.03787,0.25328,1.6158299999999999,2015
130,Somalia,Sub-Saharan Africa,,,,,,,,,,2015
131,Somaliland Region,Sub-Saharan Africa,91.0,5.0569999999999995,0.18847,0.95152,0.43873,0.46581999999999996,0.39928,0.5031800000000001,2.11032,2015
132,South Africa,Sub-Saharan Africa,113.0,4.6419999999999995,0.9204899999999999,1.18468,0.27688,0.33207,0.08884,0.11972999999999999,1.7195599999999998,2015
133,South Korea,Eastern Asia,47.0,5.984,1.24461,0.9577399999999999,0.9653799999999999,0.33208000000000004,0.07857,0.18557,2.21978,2015
134,South Sudan,Sub-Saharan Africa,,,,,,,,,,2015
135,Spain,Western Europe,36.0,6.329,1.23011,1.31379,0.95562,0.45951000000000003,0.06398,0.18227000000000002,2.12367,2015
136,Sri Lanka,Southern Asia,132.0,4.271,0.83524,1.01905,0.70806,0.5372600000000001,0.09179,0.40828000000000003,0.67108,2015
137,Sudan,Sub-Saharan Africa,118.0,4.55,0.52107,1.01404,0.36878,0.10081,0.1466,0.19062,2.20857,2015
138,Suriname,Latin America and Caribbean,40.0,6.269,0.99534,0.972,0.6082,0.5965699999999999,0.13633,0.16990999999999998,2.79094,2015
139,Swaziland,Sub-Saharan Africa,101.0,4.867,0.71206,1.07284,0.07566,0.30658,0.0306,0.18259,2.48676,2015
140,Sweden,Western Europe,8.0,7.364,1.33171,1.2890700000000002,0.9108700000000001,0.6598,0.43843999999999994,0.36262,2.3711900000000004,2015
141,Switzerland,Western Europe,1.0,7.587000000000001,1.3965100000000001,1.34951,0.9414299999999999,0.66557,0.41978000000000004,0.29678000000000004,2.5173799999999997,2015
142,Syria,Middle East and Northern Africa,156.0,3.0060000000000002,0.6632,0.47489,0.7219300000000001,0.15684,0.18905999999999998,0.47179,0.32858000000000004,2015
143,Taiwan,Eastern Asia,38.0,6.297999999999999,1.29098,1.07617,0.8753,0.3974,0.08129,0.25376,2.32323,2015
144,Taiwan Province Of China,Eastern Asia,,,,,,,,,,2015
145,Tajikistan,Central and Eastern Europe,106.0,4.7860000000000005,0.39047,0.8556299999999999,0.5737899999999999,0.47216,0.15072,0.22974,2.1139900000000003,2015
146,Tanzania,Sub-Saharan Africa,146.0,3.781,0.2852,1.00268,0.38215,0.32878,0.05747000000000001,0.34376999999999996,1.38079,2015
147,Thailand,Southeastern Asia,34.0,6.455,0.9669,1.26504,0.7385,0.5566399999999999,0.031869999999999996,0.5763,2.31945,2015
148,Togo,Sub-Saharan Africa,158.0,2.839,0.20868,0.13995,0.28443,0.36453,0.10730999999999999,0.16680999999999999,1.56726,2015
149,Trinidad And Tobago,Latin America and Caribbean,41.0,6.167999999999999,1.21183,1.18354,0.61483,0.55884,0.0114,0.31844,2.2688200000000003,2015
150,Tunisia,Middle East and Northern Africa,107.0,4.739,0.88113,0.60429,0.73793,0.26268,0.06358,0.06431,2.12466,2015
151,Turkey,Middle East and Northern Africa,76.0,5.332000000000001,1.06098,0.94632,0.73172,0.22815,0.15746,0.12253,2.08528,2015
152,Turkmenistan,Central and Eastern Europe,70.0,5.547999999999999,0.95847,1.22668,0.53886,0.4761,0.30844,0.16979,1.8698400000000002,2015
153,Uganda,Sub-Saharan Africa,141.0,3.931,0.21101999999999999,1.13299,0.33860999999999997,0.45726999999999995,0.07267,0.29066,1.42766,2015
154,Ukraine,Central and Eastern Europe,111.0,4.681,0.79907,1.20278,0.6739,0.25123,0.02961,0.15275,1.5714,2015
155,United Arab Emirates,Middle East and Northern Africa,20.0,6.901,1.42727,1.12575,0.80925,0.64157,0.38583,0.26428,2.24743,2015
156,United Kingdom,Western Europe,21.0,6.867000000000001,1.26637,1.28548,0.90943,0.59625,0.32066999999999996,0.51912,1.9699400000000002,2015
157,United States,North America,15.0,7.119,1.3945100000000001,1.24711,0.86179,0.54604,0.1589,0.40105,2.51011,2015
158,Uruguay,Latin America and Caribbean,32.0,6.485,1.06166,1.2089,0.8116,0.6036199999999999,0.24558000000000002,0.2324,2.3214200000000003,2015
159,Uzbekistan,Central and Eastern Europe,44.0,6.002999999999999,0.63244,1.34043,0.59772,0.6582100000000001,0.30826,0.22837,2.2374099999999997,2015
160,Venezuela,Latin America and Caribbean,23.0,6.81,1.04424,1.25596,0.7205199999999999,0.42908,0.11069000000000001,0.058410000000000004,3.1913099999999996,2015
161,Vietnam,Southeastern Asia,75.0,5.36,0.63216,0.9122600000000001,0.7467600000000001,0.59444,0.10440999999999999,0.1686,2.20173,2015
162,Yemen,Middle East and Northern Africa,136.0,4.077,0.5464899999999999,0.68093,0.40064,0.35570999999999997,0.07854,0.09131,1.92313,2015
163,Zambia,Sub-Saharan Africa,85.0,5.129,0.47038,0.91612,0.29924,0.48827,0.12468,0.19591,2.6343,2015
164,Zimbabwe,Sub-Saharan Africa,115.0,4.61,0.271,1.0327600000000001,0.33475,0.25861,0.08079,0.18987,2.44191,2015
165,Afghanistan,Southern Asia,154.0,3.36,0.38227,0.11037000000000001,0.17344,0.1643,0.07112,0.31268,2.14558,2016
166,Albania,Central and Eastern Europe,109.0,4.655,0.9553,0.50163,0.73007,0.31866,0.05301,0.1684,1.9281599999999999,2016
167,Algeria,Middle East and Northern Africa,38.0,6.355,1.05266,0.83309,0.6180399999999999,0.21006,0.16157,0.07044,3.40904,2016
168,Angola,Sub-Saharan Africa,141.0,3.866,0.84731,0.66366,0.04991,0.00589,0.08434,0.12070999999999998,2.09459,2016
169,Argentina,Latin America and Caribbean,26.0,6.65,1.15137,1.0661200000000002,0.69711,0.42283999999999994,0.07296,0.10989000000000002,3.12985,2016
170,Armenia,Central and Eastern Europe,121.0,4.36,0.8608600000000001,0.6247699999999999,0.64083,0.14037,0.036160000000000005,0.07793,1.9786400000000002,2016
171,Australia,Australia and New Zealand,9.0,7.313,1.4444299999999999,1.10476,0.8512,0.5683699999999999,0.32331,0.47407,2.5465,2016
172,Austria,Western Europe,12.0,7.119,1.45038,1.0838299999999998,0.80565,0.54355,0.21348000000000003,0.32865,2.6934299999999998,2016
173,Azerbaijan,Central and Eastern Europe,81.0,5.291,1.12373,0.76042,0.54504,0.35327,0.17914000000000002,0.0564,2.2735,2016
174,Bahrain,Middle East and Northern Africa,42.0,6.218,1.44024,0.9439700000000001,0.65696,0.47375,0.25772,0.17147,2.27405,2016
175,Bangladesh,Southern Asia,110.0,4.643,0.54177,0.24749000000000002,0.52989,0.39778,0.12583,0.19132000000000002,2.6090400000000002,2016
176,Belarus,Central and Eastern Europe,61.0,5.8020000000000005,1.1306200000000002,1.04993,0.6310399999999999,0.29091,0.17457,0.13942000000000002,2.3858200000000003,2016
177,Belgium,Western Europe,18.0,6.928999999999999,1.42539,1.05249,0.8195899999999999,0.51354,0.26248,0.2424,2.61355,2016
178,Belize,Latin America and Caribbean,52.0,5.956,0.87616,0.68655,0.45569,0.51231,0.10770999999999999,0.23684000000000002,3.08039,2016
179,Benin,Sub-Saharan Africa,153.0,3.484,0.39499,0.10419,0.21028000000000002,0.39747,0.06681000000000001,0.2018,2.10812,2016
180,Bhutan,Southern Asia,84.0,5.196000000000001,0.8527,0.9083600000000001,0.49759,0.46074,0.1616,0.48546000000000006,1.82916,2016
181,Bolivia,Latin America and Caribbean,59.0,5.822,0.79422,0.8377899999999999,0.4697,0.50961,0.07746,0.21698,2.91635,2016
182,Bosnia And Herzegovina,Central and Eastern Europe,87.0,5.162999999999999,0.9338299999999999,0.64367,0.7076600000000001,0.09511,0.0,0.29889,2.48406,2016
183,Botswana,Sub-Saharan Africa,137.0,3.9739999999999998,1.09426,0.89186,0.34752,0.44088999999999995,0.10769000000000001,0.12425,0.96741,2016
184,Brazil,Latin America and Caribbean,17.0,6.952000000000001,1.08754,1.03938,0.61415,0.40425,0.14165999999999998,0.15775999999999998,3.5073300000000005,2016
185,Bulgaria,Central and Eastern Europe,129.0,4.217,1.11306,0.92542,0.67806,0.21219000000000002,0.00615,0.12793,1.15377,2016
186,Burkina Faso,Sub-Saharan Africa,145.0,3.739,0.31995,0.63054,0.21297,0.3337,0.12533,0.24353000000000002,1.8731900000000001,2016
187,Burundi,Sub-Saharan Africa,157.0,2.905,0.06831,0.23442,0.15747,0.0432,0.09419,0.2029,2.1040400000000004,2016
188,Cambodia,Southeastern Asia,140.0,3.907,0.55604,0.5375,0.42494,0.5885199999999999,0.08092,0.40339,1.3157299999999998,2016
189,Cameroon,Sub-Saharan Africa,114.0,4.513,0.5249699999999999,0.62542,0.12697999999999998,0.42736,0.06126,0.2268,2.5198,2016
190,Canada,North America,6.0,7.404,1.44015,1.0961,0.8276,0.5737,0.31329,0.44833999999999996,2.70485,2016
191,Central African Republic,Sub-Saharan Africa,,,,,,,,,,2016
192,Chad,Sub-Saharan Africa,144.0,3.763,0.42213999999999996,0.63178,0.038239999999999996,0.12807000000000002,0.04952,0.18667,2.3063700000000003,2016
193,Chile,Latin America and Caribbean,24.0,6.705,1.2167,0.9058700000000001,0.8188300000000001,0.37789,0.11450999999999999,0.31595,2.95505,2016
194,China,Eastern Asia,83.0,5.245,1.0278,0.79381,0.73561,0.44011999999999996,0.02745,0.049589999999999995,2.17087,2016
195,Colombia,Latin America and Caribbean,31.0,6.481,1.0303200000000001,1.02169,0.59659,0.44735,0.053989999999999996,0.15625999999999998,3.1747099999999997,2016
196,Comoros,Sub-Saharan Africa,138.0,3.9560000000000004,0.27509,0.60323,0.29980999999999997,0.15412,0.18437,0.1827,2.25632,2016
197,Congo (Brazzaville),Sub-Saharan Africa,127.0,4.236000000000001,0.7710899999999999,0.47798999999999997,0.28212,0.37938,0.09752999999999999,0.12077,2.10681,2016
198,Congo (Kinshasa),Sub-Saharan Africa,125.0,4.272,0.05661,0.80676,0.188,0.15602,0.06075,0.25458000000000003,2.7492400000000004,2016
199,Costa Rica,Latin America and Caribbean,14.0,7.087000000000001,1.06879,1.02152,0.76146,0.55225,0.10547000000000001,0.22553,3.3516800000000004,2016
200,Croatia,Central and Eastern Europe,74.0,5.4879999999999995,1.18649,0.6080899999999999,0.70524,0.23906999999999998,0.04002,0.18434,2.52462,2016
201,Cyprus,Western Europe,69.0,5.546,1.31857,0.70697,0.8488,0.29507,0.05227999999999999,0.27906,2.04497,2016
202,Czech Republic,Central and Eastern Europe,27.0,6.596,1.30915,1.00793,0.76376,0.41418,0.03986,0.09929,2.96211,2016
203,Denmark,Western Europe,1.0,7.526,1.4417799999999998,1.16374,0.79504,0.5794100000000001,0.44453000000000004,0.36171,2.73939,2016
204,Djibouti,Sub-Saharan Africa,,,,,,,,,,2016
205,Dominican Republic,Latin America and Caribbean,89.0,5.155,1.02787,0.9949600000000001,0.5766899999999999,0.52259,0.12372000000000001,0.21286,1.6962599999999999,2016
206,Ecuador,Latin America and Caribbean,51.0,5.976,0.97306,0.85974,0.68613,0.4027,0.18037,0.10074,2.77366,2016
207,Egypt,Middle East and Northern Africa,120.0,4.362,0.95395,0.49813,0.5211600000000001,0.18847,0.10393,0.12705999999999998,1.96895,2016
208,El Salvador,Latin America and Caribbean,46.0,6.068,0.8737,0.80975,0.596,0.37269,0.10613,0.08877,3.22134,2016
209,Estonia,Central and Eastern Europe,72.0,5.517,1.2796399999999999,1.0516299999999998,0.68098,0.41511000000000003,0.18519000000000002,0.08423,1.81985,2016
210,Ethiopia,Sub-Saharan Africa,115.0,4.508,0.29283000000000003,0.37932,0.34578000000000003,0.36703,0.1717,0.29522,2.65614,2016
211,Finland,Western Europe,5.0,7.412999999999999,1.40598,1.1346399999999999,0.81091,0.57104,0.41003999999999996,0.25492,2.82596,2016
212,France,Western Europe,32.0,6.478,1.39488,1.00508,0.83795,0.46562,0.17808,0.1216,2.4744,2016
213,Gabon,Sub-Saharan Africa,134.0,4.121,1.15851,0.72368,0.3494,0.28098,0.09314,0.062439999999999996,1.4533200000000002,2016
214,Georgia,Central and Eastern Europe,126.0,4.252,0.8379200000000001,0.19249000000000002,0.64035,0.32461,0.3188,0.06786,1.87031,2016
215,Germany,Western Europe,16.0,6.994,1.44787,1.09774,0.81487,0.53466,0.28551,0.30451999999999996,2.5093099999999997,2016
216,Ghana,Sub-Saharan Africa,124.0,4.276,0.63107,0.49353,0.29681,0.40973000000000004,0.0326,0.21203000000000002,2.2002,2016
217,Greece,Western Europe,99.0,5.033,1.24886,0.75473,0.80029,0.05822000000000001,0.04127,0.0,2.12944,2016
218,Guatemala,Latin America and Caribbean,39.0,6.324,0.83454,0.8711899999999999,0.5403899999999999,0.50379,0.08701,0.28808,3.19863,2016
219,Guinea,Sub-Saharan Africa,151.0,3.6069999999999998,0.22415,0.3109,0.18829,0.30953,0.1192,0.29914,2.15604,2016
220,Haiti,Latin America and Caribbean,136.0,4.0280000000000005,0.34097,0.29561,0.27494,0.12072000000000001,0.14476,0.47958,2.3711599999999997,2016
221,Honduras,Latin America and Caribbean,104.0,4.871,0.69429,0.7559600000000001,0.5838300000000001,0.26755,0.06906,0.2044,2.2955099999999997,2016
222,Hong Kong,Eastern Asia,75.0,5.457999999999999,1.5107,0.87021,0.9527700000000001,0.48078999999999994,0.31647,0.40097,0.92614,2016
223,"Hong Kong S.A.R., China",Eastern Asia,,,,,,,,,,2016
224,Hungary,Central and Eastern Europe,91.0,5.145,1.24142,0.9316399999999999,0.67608,0.1977,0.044719999999999996,0.099,1.9547299999999999,2016
225,Iceland,Western Europe,3.0,7.501,1.42666,1.18326,0.8673299999999999,0.56624,0.14975,0.47678000000000004,2.83137,2016
226,India,Southern Asia,118.0,4.404,0.74036,0.29247,0.45091000000000003,0.40285,0.08722,0.25028,2.18032,2016
227,Indonesia,Southeastern Asia,79.0,5.314,0.95104,0.87625,0.49373999999999996,0.39237,0.00322,0.56521,2.03171,2016
228,Iran,Middle East and Northern Africa,105.0,4.813,1.11758,0.38856999999999997,0.64232,0.22544,0.0557,0.38538,1.99817,2016
229,Iraq,Middle East and Northern Africa,112.0,4.575,1.07474,0.59205,0.51076,0.24856,0.13635999999999998,0.19589,1.81657,2016
230,Ireland,Western Europe,19.0,6.907,1.4834100000000001,1.16157,0.81455,0.54008,0.29754,0.44963000000000003,2.15988,2016
231,Israel,Middle East and Northern Africa,11.0,7.267,1.33766,0.9953700000000001,0.8491700000000001,0.36432,0.08728,0.32288,3.31029,2016
232,Italy,Western Europe,50.0,5.977,1.35495,1.04167,0.8510200000000001,0.18827,0.02556,0.16684000000000002,2.34918,2016
233,Ivory Coast,Sub-Saharan Africa,139.0,3.9160000000000004,0.55507,0.57576,0.04476,0.40663,0.1553,0.20338,1.97478,2016
234,Jamaica,Latin America and Caribbean,73.0,5.51,0.89333,0.96372,0.5946899999999999,0.43596999999999997,0.04294,0.22245,2.35682,2016
235,Japan,Eastern Asia,53.0,5.921,1.3800700000000001,1.06054,0.91491,0.46761,0.18985,0.10224,1.8058400000000001,2016
236,Jordan,Middle East and Northern Africa,80.0,5.303,0.9967299999999999,0.86216,0.60712,0.36023,0.13297,0.14262,2.20142,2016
237,Kazakhstan,Central and Eastern Europe,54.0,5.919,1.22943,0.95544,0.57386,0.4052,0.11132,0.15011,2.49325,2016
238,Kenya,Sub-Saharan Africa,122.0,4.356,0.52267,0.7624,0.30146999999999996,0.40576,0.06686,0.41328000000000004,1.88326,2016
239,Kosovo,Central and Eastern Europe,77.0,5.401,0.90145,0.66062,0.54,0.14396,0.06547,0.27992,2.80998,2016
240,Kuwait,Middle East and Northern Africa,41.0,6.239,1.61714,0.8775799999999999,0.63569,0.43166000000000004,0.23669,0.15965,2.28085,2016
241,Kyrgyzstan,Central and Eastern Europe,85.0,5.185,0.5604399999999999,0.95434,0.5544899999999999,0.40212,0.047619999999999996,0.38432,2.28136,2016
242,Laos,Southeastern Asia,102.0,4.876,0.68042,0.5497,0.38291,0.52168,0.22423,0.43078999999999995,2.08637,2016
243,Latvia,Central and Eastern Europe,68.0,5.56,1.2178799999999999,0.95025,0.63952,0.27996,0.0889,0.17445,2.20859,2016
244,Lebanon,Middle East and Northern Africa,93.0,5.129,1.12268,0.64184,0.76171,0.26228,0.030610000000000002,0.23693000000000003,2.0733900000000003,2016
245,Lesotho,Sub-Saharan Africa,,,,,,,,,,2016
246,Liberia,Sub-Saharan Africa,150.0,3.622,0.10705999999999999,0.50353,0.23165,0.25748000000000004,0.04852,0.24063,2.23284,2016
247,Libya,Middle East and Northern Africa,67.0,5.615,1.0668799999999998,0.95076,0.52304,0.40671999999999997,0.10339000000000001,0.17087,2.39374,2016
248,Lithuania,Central and Eastern Europe,60.0,5.813,1.2692,1.0641100000000001,0.64674,0.18929,0.0182,0.02025,2.60525,2016
249,Luxembourg,Western Europe,20.0,6.871,1.6975200000000001,1.03999,0.8454200000000001,0.5487,0.35329,0.27571,2.11055,2016
250,Macedonia,Central and Eastern Europe,95.0,5.121,1.0193,0.78236,0.6473800000000001,0.27668000000000004,0.07047,0.23506999999999997,2.08947,2016
251,Madagascar,Sub-Saharan Africa,148.0,3.695,0.27954,0.46115,0.37109000000000003,0.13684000000000002,0.07506,0.2204,2.15075,2016
252,Malawi,Sub-Saharan Africa,132.0,4.156000000000001,0.08709,0.147,0.29364,0.4143,0.07564,0.30968,2.82859,2016
253,Malaysia,Southeastern Asia,47.0,6.005,1.25142,0.88025,0.62366,0.39031,0.09081,0.41473999999999994,2.35384,2016
254,Mali,Sub-Saharan Africa,135.0,4.073,0.31292,0.8633299999999999,0.16347,0.27544,0.13647,0.21064000000000002,2.1108700000000002,2016
255,Malta,Western Europe,30.0,6.4879999999999995,1.30782,1.09879,0.80315,0.54994,0.17554,0.56237,1.99032,2016
256,Mauritania,Sub-Saharan Africa,130.0,4.2010000000000005,0.6139100000000001,0.8414200000000001,0.28639000000000003,0.1268,0.17955,0.22685999999999998,1.9263,2016
257,Mauritius,Sub-Saharan Africa,66.0,5.648,1.14372,0.75695,0.66189,0.46145,0.05202999999999999,0.36951,2.20223,2016
258,Mexico,Latin America and Caribbean,21.0,6.778,1.1150799999999998,0.7146,0.71143,0.37709000000000004,0.18355,0.11735,3.5590599999999997,2016
259,Moldova,Central and Eastern Europe,55.0,5.897,0.69177,0.8313200000000001,0.5230899999999999,0.25201999999999997,0.019030000000000002,0.19997,3.38007,2016
260,Mongolia,Eastern Asia,101.0,4.907,0.9885299999999999,1.0898299999999999,0.55469,0.35972,0.03285,0.34539000000000003,1.53586,2016
261,Montenegro,Central and Eastern Europe,88.0,5.1610000000000005,1.07838,0.74173,0.6353300000000001,0.15111,0.12721,0.17190999999999998,2.2553099999999997,2016
262,Morocco,Middle East and Northern Africa,90.0,5.151,0.8405799999999999,0.38595,0.5947100000000001,0.25645999999999997,0.08404,0.040530000000000004,2.9489099999999997,2016
263,Mozambique,Sub-Saharan Africa,,,,,,,,,,2016
264,Myanmar,Southeastern Asia,119.0,4.395,0.34112,0.69981,0.3988,0.42691999999999997,0.20243,0.81971,1.50655,2016
265,Namibia,Sub-Saharan Africa,113.0,4.574,0.9328700000000001,0.70362,0.34745,0.48613999999999996,0.10397999999999999,0.07795,1.92198,2016
266,Nepal,Southern Asia,107.0,4.793,0.44626000000000005,0.69699,0.50073,0.37012,0.07007999999999999,0.3816,2.32694,2016
267,Netherlands,Western Europe,7.0,7.3389999999999995,1.46468,1.02912,0.8123100000000001,0.55211,0.29927,0.47416,2.70749,2016
268,New Zealand,Australia and New Zealand,8.0,7.334,1.36066,1.17278,0.83096,0.5814699999999999,0.41903999999999997,0.49401000000000006,2.47553,2016
269,Nicaragua,Latin America and Caribbean,48.0,5.992000000000001,0.69384,0.8952100000000001,0.65213,0.46581999999999996,0.16292,0.29773,2.82428,2016
270,Niger,Sub-Saharan Africa,142.0,3.8560000000000003,0.1327,0.6053,0.26161999999999996,0.38040999999999997,0.17176,0.2097,2.09469,2016
271,Nigeria,Sub-Saharan Africa,103.0,4.875,0.75216,0.64498,0.05108,0.27854,0.0305,0.23219,2.8858599999999996,2016
272,North Cyprus,Western Europe,62.0,5.771,1.31141,0.81826,0.8414200000000001,0.43596,0.16577999999999998,0.26322,1.9344700000000001,2016
273,Norway,Western Europe,4.0,7.497999999999999,1.57744,1.1269,0.79579,0.59609,0.35775999999999997,0.37895,2.66465,2016
274,Oman,Middle East and Northern Africa,,,,,,,,,,2016
275,Pakistan,Southern Asia,92.0,5.132000000000001,0.68816,0.26135,0.40306,0.14622000000000002,0.1388,0.31185,3.18286,2016
276,Palestinian Territories,Middle East and Northern Africa,108.0,4.754,0.67024,0.71629,0.56844,0.17744000000000001,0.10613,0.11154000000000001,2.40364,2016
277,Panama,Latin America and Caribbean,25.0,6.7010000000000005,1.18306,0.9891200000000001,0.70835,0.48927,0.08423,0.2418,3.00559,2016
278,Paraguay,Latin America and Caribbean,70.0,5.537999999999999,0.8937299999999999,1.11111,0.58295,0.46235,0.07396,0.25296,2.16091,2016
279,Peru,Latin America and Caribbean,64.0,5.742999999999999,0.9960200000000001,0.81255,0.6299399999999999,0.37501999999999996,0.05292,0.14527,2.73117,2016
280,Philippines,Southeastern Asia,82.0,5.279,0.81217,0.87877,0.47036000000000006,0.5485399999999999,0.11757000000000001,0.21674000000000002,2.23484,2016
281,Poland,Central and Eastern Europe,57.0,5.835,1.24585,1.04685,0.69058,0.4519,0.055,0.14443,2.20035,2016
282,Portugal,Western Europe,94.0,5.122999999999999,1.27607,0.9436700000000001,0.7936300000000001,0.44727,0.01521,0.11690999999999999,1.53015,2016
283,Puerto Rico,Latin America and Caribbean,15.0,7.039,1.35943,1.08113,0.77758,0.46823000000000004,0.12275,0.22202,3.0076,2016
284,Qatar,Middle East and Northern Africa,36.0,6.375,1.82427,0.87964,0.71723,0.56679,0.48049,0.32388,1.5822399999999999,2016
285,Romania,Central and Eastern Europe,71.0,5.528,1.1697,0.7280300000000001,0.67602,0.36712,0.006790000000000001,0.12889,2.4518400000000002,2016
286,Russia,Central and Eastern Europe,56.0,5.856,1.2322799999999998,1.05261,0.58991,0.32682,0.03586,0.027360000000000002,2.59115,2016
287,Rwanda,Sub-Saharan Africa,152.0,3.515,0.32846,0.6158600000000001,0.31865,0.5432,0.50521,0.23551999999999998,0.96819,2016
288,Saudi Arabia,Middle East and Northern Africa,34.0,6.379,1.48953,0.84829,0.59267,0.37904,0.30008,0.15457,2.61482,2016
289,Senegal,Sub-Saharan Africa,128.0,4.218999999999999,0.44314,0.7741600000000001,0.40457,0.31056,0.11681,0.19103,1.9786099999999998,2016
290,Serbia,Central and Eastern Europe,86.0,5.1770000000000005,1.03437,0.81329,0.6458,0.15718,0.04339,0.20736999999999997,2.2753900000000002,2016
291,Sierra Leone,Sub-Saharan Africa,111.0,4.635,0.36485,0.628,0.0,0.30685,0.08196,0.23897,3.01402,2016
292,Singapore,Southeastern Asia,22.0,6.739,1.64555,0.8675799999999999,0.94719,0.4877,0.46986999999999995,0.32706,1.99375,2016
293,Slovakia,Central and Eastern Europe,45.0,6.077999999999999,1.27973,1.0826799999999999,0.70367,0.23390999999999998,0.02947,0.13837,2.61065,2016
294,Slovenia,Central and Eastern Europe,63.0,5.768,1.2994700000000001,1.05613,0.79151,0.53164,0.03635,0.25738,1.79522,2016
295,Somalia,Sub-Saharan Africa,76.0,5.44,0.0,0.33613000000000004,0.11465999999999998,0.5677800000000001,0.3118,0.27225,3.8377199999999996,2016
296,Somaliland Region,Sub-Saharan Africa,97.0,5.0569999999999995,0.25558000000000003,0.75862,0.33108000000000004,0.3913,0.36794,0.51479,2.43801,2016
297,South Africa,Sub-Saharan Africa,116.0,4.459,1.02416,0.9605299999999999,0.18611,0.42483000000000004,0.08415,0.13656,1.6422700000000001,2016
298,South Korea,Eastern Asia,57.0,5.835,1.35948,0.7219399999999999,0.88645,0.25168,0.07716,0.18824000000000002,2.35015,2016
299,South Sudan,Sub-Saharan Africa,143.0,3.832,0.39394,0.18519000000000002,0.15780999999999998,0.19662000000000002,0.13015,0.25899,2.50929,2016
300,Spain,Western Europe,37.0,6.361000000000001,1.34253,1.12945,0.8789600000000001,0.37545,0.06137000000000001,0.17665,2.39663,2016
301,Sri Lanka,Southern Asia,117.0,4.415,0.9731799999999999,0.84783,0.62007,0.50817,0.07964,0.46978000000000003,0.91681,2016
302,Sudan,Sub-Saharan Africa,133.0,4.138999999999999,0.63069,0.8192799999999999,0.29759,0.0,0.10039,0.18077000000000001,2.10995,2016
303,Suriname,Latin America and Caribbean,40.0,6.269,1.09686,0.77866,0.5093300000000001,0.5223399999999999,0.12692,0.16665,3.06852,2016
304,Swaziland,Sub-Saharan Africa,,,,,,,,,,2016
305,Sweden,Western Europe,10.0,7.291,1.45181,1.08764,0.83121,0.58218,0.40867,0.38254,2.54734,2016
306,Switzerland,Western Europe,2.0,7.5089999999999995,1.5273299999999999,1.14524,0.86303,0.58557,0.41203,0.28083,2.69463,2016
307,Syria,Middle East and Northern Africa,156.0,3.069,0.7471899999999999,0.14866,0.6299399999999999,0.06912,0.17232999999999998,0.48396999999999996,0.81789,2016
308,Taiwan,Eastern Asia,34.0,6.379,1.39729,0.92624,0.79565,0.32377,0.0663,0.25495,2.61523,2016
309,Taiwan Province Of China,Eastern Asia,,,,,,,,,,2016
310,Tajikistan,Central and Eastern Europe,100.0,4.996,0.48835,0.75602,0.5311899999999999,0.43408,0.13509000000000002,0.25998000000000004,2.39106,2016
311,Tanzania,Sub-Saharan Africa,149.0,3.6660000000000004,0.47155,0.77623,0.35700000000000004,0.3176,0.05099,0.31472,1.3776899999999999,2016
312,Thailand,Southeastern Asia,33.0,6.474,1.0893,1.04477,0.64915,0.49553,0.02833,0.58696,2.5796,2016
313,Togo,Sub-Saharan Africa,155.0,3.303,0.28123000000000004,0.0,0.24811,0.34678000000000003,0.11587,0.17517,2.1354,2016
314,Trinidad And Tobago,Latin America and Caribbean,43.0,6.167999999999999,1.32572,0.98569,0.52608,0.48453,0.01241,0.31935,2.5139400000000003,2016
315,Tunisia,Middle East and Northern Africa,98.0,5.045,0.97724,0.43165,0.59577,0.23553000000000002,0.0817,0.03936,2.68413,2016
316,Turkey,Middle East and Northern Africa,78.0,5.388999999999999,1.1649200000000002,0.8771700000000001,0.64718,0.23889000000000002,0.12347999999999999,0.04707,2.29074,2016
317,Turkmenistan,Central and Eastern Europe,65.0,5.6579999999999995,1.08017,1.03817,0.44006000000000006,0.37408,0.28467,0.22566999999999998,2.21489,2016
318,Uganda,Sub-Saharan Africa,145.0,3.739,0.34719,0.90981,0.19625,0.43653000000000003,0.06442,0.27102,1.51416,2016
319,Ukraine,Central and Eastern Europe,123.0,4.324,0.87287,1.01413,0.58628,0.12859,0.01829,0.20363,1.50066,2016
320,United Arab Emirates,Middle East and Northern Africa,28.0,6.5729999999999995,1.57352,0.8711399999999999,0.72993,0.56215,0.35561,0.26591,2.21507,2016
321,United Kingdom,Western Europe,23.0,6.725,1.40283,1.0867200000000001,0.80991,0.50036,0.27399,0.50156,2.1499900000000003,2016
322,United States,North America,13.0,7.104,1.50796,1.04782,0.779,0.48163,0.14868,0.41076999999999997,2.72782,2016
323,Uruguay,Latin America and Caribbean,29.0,6.545,1.18157,1.0314299999999998,0.72183,0.54388,0.21394000000000002,0.18056,2.67139,2016
324,Uzbekistan,Central and Eastern Europe,49.0,5.987,0.7359100000000001,1.1681,0.50163,0.60848,0.28333,0.34326,2.34638,2016
325,Venezuela,Latin America and Caribbean,44.0,6.084,1.1336700000000002,1.03302,0.6190399999999999,0.19847,0.08304,0.0425,2.9746799999999998,2016
326,Vietnam,Southeastern Asia,96.0,5.061,0.74037,0.7911699999999999,0.66157,0.5595399999999999,0.11556,0.25075,1.9418,2016
327,Yemen,Middle East and Northern Africa,147.0,3.7239999999999998,0.57939,0.47493,0.31048000000000003,0.2287,0.05892000000000001,0.09821,1.97295,2016
328,Zambia,Sub-Saharan Africa,106.0,4.795,0.61202,0.6376,0.23573000000000002,0.42662,0.11479,0.17865999999999999,2.5899099999999997,2016
329,Zimbabwe,Sub-Saharan Africa,131.0,4.1930000000000005,0.35041,0.71478,0.1595,0.25429,0.08582000000000001,0.18503,2.4427,2016
330,Afghanistan,Southern Asia,141.0,3.7939999103546103,0.401477217674255,0.581543326377869,0.18074677884578697,0.106179520487785,0.0611578300595284,0.311870932579041,2.15080118179321,2017
331,Albania,Central and Eastern Europe,109.0,4.64400005340576,0.996192753314972,0.8036852478981021,0.731159746646881,0.381498634815216,0.0398642159998417,0.20131294429302202,1.49044156074524,2017
332,Algeria,Middle East and Northern Africa,53.0,5.872000217437741,1.09186446666718,1.1462174654007,0.6175846457481379,0.233335807919502,0.14609611034393302,0.0694366469979286,2.5676038265228303,2017
333,Angola,Sub-Saharan Africa,140.0,3.79500007629395,0.8584281802177429,1.1044119596481299,0.0498686656355858,0.0,0.0697203353047371,0.09792649000883098,1.6144824028015101,2017
334,Argentina,Latin America and Caribbean,24.0,6.59899997711182,1.18529546260834,1.44045114517212,0.695137083530426,0.49451920390129106,0.05973988771438599,0.109457060694695,2.61400532722473,2017
335,Armenia,Central and Eastern Europe,121.0,4.37599992752075,0.900596737861633,1.00748372077942,0.637524425983429,0.198303267359734,0.0266744215041399,0.0834880918264389,1.5214991569518999,2017
336,Australia,Australia and New Zealand,10.0,7.28399991989136,1.4844149351120002,1.5100419521331798,0.84388679265976,0.601607382297516,0.301183730363846,0.47769924998283403,2.06521081924438,2017
337,Austria,Western Europe,13.0,7.00600004196167,1.4870972633361799,1.4599449634552,0.8153284192085269,0.567766189575195,0.22106036543846105,0.316472321748734,2.1385064125061004,2017
338,Azerbaijan,Central and Eastern Europe,85.0,5.234000205993651,1.1536017656326298,1.15240025520325,0.5407757759094239,0.39815583825111406,0.180987507104874,0.0452693402767181,1.7624816894531203,2017
339,Bahrain,Middle East and Northern Africa,41.0,6.08699989318848,1.4884122610092199,1.3231104612350502,0.653133034706116,0.536746919155121,0.257042169570923,0.17266848683357197,1.65614938735962,2017
340,Bangladesh,Southern Asia,110.0,4.60799980163574,0.586682975292206,0.735131740570068,0.533241033554077,0.478356659412384,0.123717859387398,0.17225535213947304,1.9787361621856698,2017
341,Belarus,Central and Eastern Europe,67.0,5.5689997673034695,1.15655755996704,1.4449452161788898,0.6377142667770389,0.295400261878967,0.156313821673393,0.15513750910759,1.72323298454285,2017
342,Belgium,Western Europe,17.0,6.89099979400635,1.4637807607650801,1.4623126983642598,0.8180918693542479,0.5397707223892211,0.251343131065369,0.23150333762168898,2.12421035766602,2017
343,Belize,Latin America and Caribbean,50.0,5.955999851226809,0.907975316047668,1.0814177989959701,0.45019176602363603,0.5475093722343439,0.0965810716152191,0.24001564085483604,2.63195562362671,2017
344,Benin,Sub-Saharan Africa,143.0,3.65700006484985,0.43108540773391707,0.43529984354972795,0.20993021130561804,0.42596277594566295,0.0609290152788162,0.207948461174965,1.88563096523285,2017
345,Bhutan,Southern Asia,97.0,5.01100015640259,0.885416388511658,1.3401265144348102,0.495879292488098,0.5015376806259161,0.17338038980960802,0.474054545164108,1.14018440246582,2017
346,Bolivia,Latin America and Caribbean,58.0,5.82299995422363,0.833756566047668,1.2276190519332901,0.47363024950027505,0.5587329268455511,0.0604777261614799,0.22556072473526,2.4432790279388397,2017
347,Bosnia And Herzegovina,Central and Eastern Europe,90.0,5.18200016021729,0.982409417629242,1.0693359375,0.705186307430267,0.204403176903725,0.0,0.328867495059967,1.89217257499695,2017
348,Botswana,Sub-Saharan Africa,142.0,3.7660000324249303,1.12209415435791,1.2215549945831299,0.34175550937652605,0.505196332931519,0.0985831990838051,0.0993484482169151,0.37791371345520003,2017
349,Brazil,Latin America and Caribbean,22.0,6.6350002288818395,1.1073532104492199,1.43130600452423,0.6165523529052729,0.437453746795654,0.11109276115894301,0.16234989464282998,2.7692670822143595,2017
350,Bulgaria,Central and Eastern Europe,105.0,4.71400022506714,1.1614590883255,1.4343794584274299,0.708217680454254,0.28923171758651695,0.0110515309497714,0.113177694380283,0.996139287948608,2017
351,Burkina Faso,Sub-Saharan Africa,134.0,4.03200006484985,0.35022771358490007,1.04328000545502,0.21584425866603896,0.32436785101890603,0.12032810598611803,0.250864684581757,1.72721290588379,2017
352,Burundi,Sub-Saharan Africa,154.0,2.90499997138977,0.09162256866693501,0.629793584346771,0.151610791683197,0.0599007532000542,0.0841479450464249,0.20443518459796897,1.68302416801453,2017
353,Cambodia,Southeastern Asia,129.0,4.1680002212524405,0.6017650961875921,1.00623834133148,0.429783403873444,0.633375823497772,0.0681059509515762,0.385922968387604,1.04294109344482,2017
354,Cameroon,Sub-Saharan Africa,107.0,4.69500017166138,0.564305365085602,0.946018218994141,0.132892116904259,0.430388748645782,0.0513066314160824,0.23629845678806302,2.3336455821991,2017
355,Canada,North America,7.0,7.31599998474121,1.47920441627502,1.48134899139404,0.83455765247345,0.611100912094116,0.287371516227722,0.435539722442627,2.18726444244385,2017
356,Central African Republic,Sub-Saharan Africa,155.0,2.69300007820129,0.0,0.0,0.0187726859003305,0.270842045545578,0.0565650761127472,0.280876487493515,2.06600475311279,2017
357,Chad,Sub-Saharan Africa,137.0,3.9360001087188703,0.43801298737525896,0.953855872154236,0.0411347150802612,0.16234202682972002,0.0535818822681904,0.21611385047435802,2.07123804092407,2017
358,Chile,Latin America and Caribbean,20.0,6.65199995040894,1.25278460979462,1.28402495384216,0.8194797039031979,0.376895278692245,0.0822879821062088,0.3266624212265011,2.5095858573913596,2017
359,China,Eastern Asia,79.0,5.2729997634887695,1.08116579055786,1.16083741188049,0.741415500640869,0.47278770804405196,0.0227942746132612,0.0288068410009146,1.76493859291077,2017
360,Colombia,Latin America and Caribbean,36.0,6.35699987411499,1.07062232494354,1.4021829366683998,0.595027923583984,0.47748741507530196,0.0466687418520451,0.14901447296142598,2.6160681247711204,2017
361,Comoros,Sub-Saharan Africa,,,,,,,,,,2017
362,Congo (Brazzaville),Sub-Saharan Africa,124.0,4.29099988937378,0.8089642524719242,0.8320443630218509,0.28995743393898,0.4350258708000179,0.0796181336045265,0.12085212767124198,1.7241356372833299,2017
363,Congo (Kinshasa),Sub-Saharan Africa,126.0,4.2800002098083505,0.0921023488044739,1.22902345657349,0.191407024860382,0.235961347818375,0.0602413564920425,0.246455833315849,2.22495865821838,2017
364,Costa Rica,Latin America and Caribbean,12.0,7.0789999961853,1.10970628261566,1.4164036512374898,0.7595092654228209,0.580131649971008,0.100106589496136,0.21461322903633104,2.89863920211792,2017
365,Croatia,Central and Eastern Europe,77.0,5.2930002212524405,1.22255623340607,0.9679830074310299,0.701288521289825,0.255772292613983,0.0431031100451946,0.248002976179123,1.85449242591858,2017
366,Cyprus,Western Europe,65.0,5.62099981307983,1.3559380769729599,1.13136327266693,0.84471470117569,0.35511153936386103,0.0412379764020443,0.271254301071167,1.62124919891357,2017
367,Czech Republic,Central and Eastern Europe,23.0,6.60900020599365,1.35268235206604,1.4338852167129499,0.754444003105164,0.49094617366790794,0.0368729270994663,0.0881067588925362,2.45186185836792,2017
368,Denmark,Western Europe,2.0,7.52199983596802,1.48238301277161,1.55112159252167,0.7925655245780941,0.626006722450256,0.40077006816863997,0.3552804887294771,2.31370735168457,2017
369,Djibouti,Sub-Saharan Africa,,,,,,,,,,2017
370,Dominican Republic,Latin America and Caribbean,86.0,5.230000019073491,1.07937383651733,1.4024167060852097,0.574873745441437,0.55258983373642,0.113945253193378,0.186967849731445,1.3194651603698702,2017
371,Ecuador,Latin America and Caribbean,44.0,6.00799989700317,1.00082039833069,1.2861688137054401,0.685636222362518,0.4551981985569,0.140134647488594,0.15011246502399403,2.29035258293152,2017
372,Egypt,Middle East and Northern Africa,104.0,4.7350001335144,0.989701807498932,0.997471392154694,0.520187258720398,0.28211015462875394,0.114381365478039,0.128631442785263,1.70216107368469,2017
373,El Salvador,Latin America and Caribbean,45.0,6.002999782562259,0.9097844958305359,1.1821250915527302,0.596018552780151,0.432452529668808,0.0899809598922729,0.0782579854130745,2.7145938873291002,2017
374,Estonia,Central and Eastern Europe,66.0,5.61100006103516,1.3208793401718102,1.47667109966278,0.695168316364288,0.479131430387497,0.18324892222881303,0.0988908112049103,1.35750865936279,2017
375,Ethiopia,Sub-Saharan Africa,119.0,4.46000003814697,0.339233845472336,0.8646692037582401,0.35340970754623396,0.408842742443085,0.16545571386814098,0.31265074014663696,2.01574373245239,2017
376,Finland,Western Europe,5.0,7.468999862670901,1.44357192516327,1.5402467250824,0.80915766954422,0.6179508566856379,0.38261154294014,0.24548277258873,2.4301815032958998,2017
377,France,Western Europe,31.0,6.44199991226196,1.43092346191406,1.38777685165405,0.8444658517837521,0.470222115516663,0.172502428293228,0.129762306809425,2.00595474243164,2017
378,Gabon,Sub-Saharan Africa,118.0,4.46500015258789,1.1982102394104,1.1556202173233001,0.35657858848571794,0.31232857704162603,0.0760467872023582,0.0437853783369064,1.3229162693023702,2017
379,Georgia,Central and Eastern Europe,125.0,4.28599977493286,0.950612664222717,0.57061493396759,0.649546980857849,0.309410035610199,0.25166663527488703,0.0540088154375553,1.50013780593872,2017
380,Germany,Western Europe,16.0,6.9510002136230495,1.48792338371277,1.47252035140991,0.798950731754303,0.562511384487152,0.276731938123703,0.33626917004585305,2.01576995849609,2017
381,Ghana,Sub-Saharan Africa,131.0,4.11999988555908,0.667224824428558,0.873664736747742,0.29563772678375205,0.423026293516159,0.0253363698720932,0.25692394375801103,1.57786750793457,2017
382,Greece,Western Europe,87.0,5.2270002365112305,1.28948748111725,1.23941457271576,0.8101989030838009,0.0957312509417534,0.043289776891470004,0.0,1.74922156333923,2017
383,Guatemala,Latin America and Caribbean,29.0,6.4539999961853,0.872001945972443,1.25558519363403,0.540239989757538,0.5313106179237371,0.0772232785820961,0.283488392829895,2.89389109611511,2017
384,Guinea,Sub-Saharan Africa,149.0,3.50699996948242,0.24454993009567302,0.7912446856498722,0.194129139184952,0.348587512969971,0.110937617719173,0.264815092086792,1.55231189727783,2017
385,Haiti,Latin America and Caribbean,145.0,3.6029999256133998,0.368610262870789,0.640449821949005,0.277321130037308,0.0303698573261499,0.0998721495270729,0.48920378088951094,1.69716763496399,2017
386,Honduras,Latin America and Caribbean,91.0,5.1810002326965305,0.730573117733002,1.14394497871399,0.582569479942322,0.348079860210419,0.0733454525470734,0.23618887364864302,2.0658111572265603,2017
387,Hong Kong,Eastern Asia,,,,,,,,,,2017
388,"Hong Kong S.A.R., China",Eastern Asia,71.0,5.47200012207031,1.55167484283447,1.26279091835022,0.943062424659729,0.490968644618988,0.29393374919891396,0.374465793371201,0.554633140563965,2017
389,Hungary,Central and Eastern Europe,75.0,5.32399988174438,1.2860119342803997,1.34313309192657,0.6877634525299069,0.17586351931095098,0.0366369374096394,0.0784016624093056,1.7164592742919902,2017
390,Iceland,Western Europe,3.0,7.50400018692017,1.480633020401,1.6105740070343,0.8335521221160892,0.6271626353263849,0.15352655947208402,0.47554022073745705,2.32271528244019,2017
391,India,Southern Asia,122.0,4.31500005722046,0.7922212481498722,0.754372596740723,0.455427616834641,0.469987004995346,0.0922268852591515,0.23153848946094502,1.5191171169281,2017
392,Indonesia,Southeastern Asia,81.0,5.26200008392334,0.995538592338562,1.2744446992874099,0.49234572052955605,0.443323463201523,0.0153171354904771,0.611704587936401,1.42947697639465,2017
393,Iran,Middle East and Northern Africa,108.0,4.69199991226196,1.15687310695648,0.7115512490272521,0.639333188533783,0.24932260811328896,0.048761073499918005,0.387242913246155,1.49873495101929,2017
394,Iraq,Middle East and Northern Africa,117.0,4.49700021743774,1.1027104854583702,0.978613197803497,0.501180469989777,0.288555532693863,0.10721575468778599,0.19963726401329,1.31890726089478,2017
395,Ireland,Western Europe,15.0,6.9770002365112305,1.5357066392898602,1.5582311153411899,0.8097826242446899,0.5731103420257571,0.29838815331459007,0.42785832285881,1.77386903762817,2017
396,Israel,Middle East and Northern Africa,11.0,7.212999820709231,1.3753824234008798,1.37628996372223,0.83840399980545,0.40598860383033797,0.0852421000599861,0.330082654953003,2.80175733566284,2017
397,Italy,Western Europe,48.0,5.96400022506714,1.3950666189193701,1.44492328166962,0.8531443476676941,0.256450712680817,0.0280280914157629,0.17278964817523998,1.81331205368042,2017
398,Ivory Coast,Sub-Saharan Africa,128.0,4.17999982833862,0.6030489206314089,0.904780030250549,0.0486421696841717,0.4477061927318571,0.130061775445938,0.201237469911575,1.84496426582336,2017
399,Jamaica,Latin America and Caribbean,76.0,5.31099987030029,0.925579309463501,1.3682180643081698,0.6410223841667181,0.474307239055634,0.0552677810192108,0.23381833732128102,1.61232566833496,2017
400,Japan,Eastern Asia,51.0,5.92000007629395,1.41691517829895,1.43633782863617,0.9134758710861209,0.505625545978546,0.163760736584663,0.12057276815175999,1.36322355270386,2017
401,Jordan,Middle East and Northern Africa,74.0,5.33599996566772,0.9910123944282528,1.2390888929367099,0.6045900583267211,0.418421149253845,0.11980327218771002,0.17217046022415197,1.79117655754089,2017
402,Kazakhstan,Central and Eastern Europe,60.0,5.8189997673034695,1.2845562696456898,1.3843690156936599,0.6060415506362921,0.43745428323745705,0.11928288638591802,0.20196442306041698,1.7848925590515101,2017
403,Kenya,Sub-Saharan Africa,112.0,4.55299997329712,0.560479462146759,1.0679507255554201,0.30998834967613204,0.45276376605033897,0.0646413192152977,0.444860309362411,1.6519021987915001,2017
404,Kosovo,Central and Eastern Europe,78.0,5.27899980545044,0.951484382152557,1.1378535032272301,0.541452050209045,0.260287940502167,0.0574716180562973,0.319931447505951,2.0105407238006596,2017
405,Kuwait,Middle East and Northern Africa,39.0,6.10500001907349,1.63295245170593,1.25969874858856,0.6321057081222529,0.49633759260177596,0.21515955030918102,0.228289797902107,1.64042520523071,2017
406,Kyrgyzstan,Central and Eastern Europe,98.0,5.0040001869201705,0.5962200760841371,1.39423859119415,0.553457796573639,0.454943388700485,0.0394391790032387,0.42858037352562,1.5367231369018601,2017
407,Laos,Southeastern Asia,,,,,,,,,,2017
408,Latvia,Central and Eastern Europe,54.0,5.849999904632571,1.26074862480164,1.40471494197845,0.638566970825195,0.32570791244506797,0.0738427266478539,0.153074786067009,1.9936552047729499,2017
409,Lebanon,Middle East and Northern Africa,88.0,5.22499990463257,1.07498753070831,1.1296242475509601,0.7350810766220089,0.28851598501205394,0.037513829767704,0.26445075869560203,1.69507384300232,2017
410,Lesotho,Sub-Saharan Africa,139.0,3.80800008773804,0.521021246910095,1.19009518623352,0.0,0.390661299228668,0.119094640016556,0.157497271895409,1.42983531951904,2017
411,Liberia,Sub-Saharan Africa,148.0,3.5329999923706095,0.11904179304838199,0.8721179366111759,0.229918196797371,0.33288118243217496,0.0389482490718365,0.26654988527298,1.6732859611511202,2017
412,Libya,Middle East and Northern Africa,68.0,5.525000095367429,1.1018030643463101,1.3575643301010099,0.520169019699097,0.465733230113983,0.0926102101802826,0.15207366645336198,1.8350112438201898,2017
413,Lithuania,Central and Eastern Europe,52.0,5.90199995040894,1.3145823478698702,1.47351610660553,0.62894994020462,0.234231784939766,0.0118656428530812,0.010164656676352,2.22844052314758,2017
414,Luxembourg,Western Europe,18.0,6.86299991607666,1.74194359779358,1.45758366584778,0.845089495182037,0.59662789106369,0.31883442401886,0.283180981874466,1.61951208114624,2017
415,Macedonia,Central and Eastern Europe,92.0,5.175000190734861,1.06457793712616,1.20789301395416,0.644948184490204,0.325905978679657,0.0602777935564518,0.25376096367836,1.6174693107605,2017
416,Madagascar,Sub-Saharan Africa,144.0,3.64400005340576,0.305808693170547,0.9130203723907471,0.375223308801651,0.18919676542282102,0.0672319754958153,0.208732530474663,1.58461260795593,2017
417,Malawi,Sub-Saharan Africa,136.0,3.97000002861023,0.233442038297653,0.5125688314437871,0.315089583396912,0.466914653778076,0.0727116540074348,0.28717046976089505,2.08178615570068,2017
418,Malaysia,Southeastern Asia,42.0,6.08400011062622,1.29121541976929,1.28464603424072,0.618784427642822,0.40226498246192893,0.0656007081270218,0.416608929634094,2.00444889068604,2017
419,Mali,Sub-Saharan Africa,127.0,4.19000005722046,0.476180493831635,1.2814733982086202,0.16936567425727803,0.306613743305206,0.10497024655342098,0.183354198932648,1.66819095611572,2017
420,Malta,Western Europe,27.0,6.52699995040894,1.34327983856201,1.48841166496277,0.821944236755371,0.588767051696777,0.153066068887711,0.5747305750846861,1.55686283111572,2017
421,Mauritania,Sub-Saharan Africa,123.0,4.29199981689453,0.6484572887420649,1.2720308303833001,0.285349279642105,0.0960980430245399,0.136957004666328,0.201870024204254,1.65163731575012,2017
422,Mauritius,Sub-Saharan Africa,64.0,5.62900018692017,1.1893955469131499,1.20956099033356,0.6380074620246889,0.491247326135635,0.0421815551817417,0.360933750867844,1.6975839138031,2017
423,Mexico,Latin America and Caribbean,25.0,6.57800006866455,1.1531838178634601,1.2108621597290001,0.709978997707367,0.412730008363724,0.132774114608765,0.12099043279886199,2.8371548652648904,2017
424,Moldova,Central and Eastern Europe,56.0,5.837999820709231,0.7288706302642819,1.25182557106018,0.5894652009010309,0.24072904884815197,0.0100912861526012,0.20877912640571603,2.80780839920044,2017
425,Mongolia,Eastern Asia,100.0,4.95499992370605,1.0272358655929599,1.4930112361908001,0.557783484458923,0.39414396882057207,0.0329022891819477,0.338464230298996,1.1112923622131299,2017
426,Montenegro,Central and Eastern Europe,83.0,5.23699998855591,1.12112903594971,1.23837649822235,0.6674646735191351,0.194989055395126,0.0881741940975189,0.197911024093628,1.72919154167175,2017
427,Morocco,Middle East and Northern Africa,84.0,5.2350001335144,0.8781145811080929,0.774864435195923,0.59771066904068,0.408158332109451,0.0877631828188896,0.0322099551558495,2.45618939399719,2017
428,Mozambique,Sub-Saharan Africa,113.0,4.550000190734861,0.23430564999580397,0.870701014995575,0.10665443539619399,0.48079109191894503,0.17943638563156103,0.322228103876114,2.3556509017944305,2017
429,Myanmar,Southeastern Asia,114.0,4.54500007629395,0.36711055040359497,1.12323594093323,0.397522568702698,0.514492034912109,0.188816204667091,0.8380751609802249,1.11529040336609,2017
430,Namibia,Sub-Saharan Africa,111.0,4.57399988174438,0.964434325695038,1.0984708070755,0.33861181139946,0.520303547382355,0.0931469723582268,0.0771337449550629,1.4818902015686002,2017
431,Nepal,Southern Asia,99.0,4.961999893188481,0.479820191860199,1.17928326129913,0.504130780696869,0.44030594825744607,0.0729755461215973,0.39409616589546204,1.8912410736084,2017
432,Netherlands,Western Europe,6.0,7.3769998550415,1.50394463539124,1.42893922328949,0.8106961250305179,0.5853844881057739,0.282661825418472,0.47048982977867104,2.29480409622192,2017
433,New Zealand,Australia and New Zealand,8.0,7.31400012969971,1.40570604801178,1.54819512367249,0.816759705543518,0.6140621304512021,0.38281670212745705,0.500005125999451,2.0464563369751,2017
434,Nicaragua,Latin America and Caribbean,43.0,6.07100009918213,0.737299203872681,1.28721570968628,0.6530959606170649,0.447551846504211,0.130687981843948,0.301674216985703,2.51393055915833,2017
435,Niger,Sub-Saharan Africa,135.0,4.02799987792969,0.16192533075809498,0.993025004863739,0.26850500702858,0.36365869641304,0.13857294619083402,0.22867384552955602,1.87398338317871,2017
436,Nigeria,Sub-Saharan Africa,95.0,5.07399988174438,0.783756256103516,1.21577048301697,0.0569157302379608,0.394952565431595,0.0261215660721064,0.23094719648361198,2.36539053916931,2017
437,North Cyprus,Western Europe,61.0,5.80999994277954,1.3469113111496,1.18630337715149,0.834647238254547,0.47120362520217896,0.155353352427483,0.266845703125,1.5491576194763201,2017
438,Norway,Western Europe,1.0,7.537000179290769,1.6164631843566901,1.53352355957031,0.796666502952576,0.635422587394714,0.31596383452415505,0.36201223731041,2.27702665328979,2017
439,Oman,Middle East and Northern Africa,,,,,,,,,,2017
440,Pakistan,Southern Asia,80.0,5.26900005340576,0.7268835306167599,0.6726906895637509,0.40204778313636796,0.23521526157856,0.12434806674718901,0.31544601917266807,2.7924892902374303,2017
441,Palestinian Territories,Middle East and Northern Africa,103.0,4.77500009536743,0.716249227523804,1.1556471586227401,0.565666973590851,0.25471106171608,0.0892826020717621,0.114173173904419,1.8788902759552,2017
442,Panama,Latin America and Caribbean,30.0,6.4520001411438,1.23374843597412,1.3731925487518302,0.706156134605408,0.550026834011078,0.070983923971653,0.21055693924427,2.30719995498657,2017
443,Paraguay,Latin America and Caribbean,70.0,5.493000030517581,0.932537317276001,1.50728487968445,0.579250693321228,0.473507791757584,0.091065913438797,0.224150657653809,1.6853334903716999,2017
444,Peru,Latin America and Caribbean,63.0,5.71500015258789,1.0352252721786501,1.21877038478851,0.6301661133766171,0.45000287890434293,0.0470490865409374,0.126819714903831,2.2072694301605202,2017
445,Philippines,Southeastern Asia,72.0,5.42999982833862,0.85769921541214,1.25391757488251,0.46800905466079706,0.585214674472809,0.0993318930268288,0.193513423204422,1.9726047515869098,2017
446,Poland,Central and Eastern Europe,46.0,5.97300004959106,1.29178786277771,1.44571197032928,0.699475347995758,0.520342111587524,0.0593078061938286,0.158465966582298,1.7977228164672898,2017
447,Portugal,Western Europe,89.0,5.19500017166138,1.3151752948761002,1.36704301834106,0.795843541622162,0.498465299606323,0.0158694516867399,0.0951027125120163,1.10768270492554,2017
448,Puerto Rico,Latin America and Caribbean,,,,,,,,,,2017
449,Qatar,Middle East and Northern Africa,35.0,6.375,1.8707656860351598,1.27429687976837,0.7100980877876278,0.604130983352661,0.43929925560951205,0.33047387003898604,1.1454644203186002,2017
450,Romania,Central and Eastern Europe,57.0,5.824999809265139,1.21768391132355,1.15009129047394,0.6851583123207089,0.457003742456436,0.0043879006989300294,0.133519917726517,2.17683148384094,2017
451,Russia,Central and Eastern Europe,49.0,5.962999820709231,1.28177809715271,1.46928238868713,0.547349333763123,0.373783111572266,0.0329628810286522,0.0522638224065304,2.20560741424561,2017
452,Rwanda,Sub-Saharan Africa,151.0,3.47099995613098,0.368745893239975,0.945707023143768,0.326424807310104,0.5818438529968261,0.455220013856888,0.25275602936744695,0.540061235427856,2017
453,Saudi Arabia,Middle East and Northern Africa,37.0,6.343999862670901,1.53062355518341,1.28667759895325,0.590148329734802,0.449750572443008,0.27343225479126004,0.147616013884544,2.0654296875,2017
454,Senegal,Sub-Saharan Africa,115.0,4.53499984741211,0.479309022426605,1.17969191074371,0.409362852573395,0.37792226672172496,0.11546044796705199,0.183468893170357,1.78964614868164,2017
455,Serbia,Central and Eastern Europe,73.0,5.39499998092651,1.06931757926941,1.2581897974014298,0.65078467130661,0.20871552824974102,0.0409037806093693,0.22012588381767298,1.94708442687988,2017
456,Sierra Leone,Sub-Saharan Africa,106.0,4.70900011062622,0.36842092871666,0.984136044979095,0.005564753897488121,0.318697690963745,0.0710951760411263,0.293040901422501,2.66845989227295,2017
457,Singapore,Southeastern Asia,26.0,6.57200002670288,1.69227766990662,1.35381436347961,0.9494923949241642,0.549840569496155,0.46430778503417997,0.345965981483459,1.2163619995117199,2017
458,Slovakia,Central and Eastern Europe,40.0,6.09800004959106,1.32539355754852,1.5050592422485398,0.712732911109924,0.295817464590073,0.0242108516395092,0.136544480919838,2.09777665138245,2017
459,Slovenia,Central and Eastern Europe,62.0,5.75799989700317,1.3412059545516999,1.4525188207626298,0.7908282279968258,0.572575807571411,0.0451289787888527,0.242649093270302,1.31331729888916,2017
460,Somalia,Sub-Saharan Africa,93.0,5.151000022888179,0.0226431842893362,0.7211513519287109,0.11398913711309401,0.602126955986023,0.28241032361984303,0.291631311178207,3.11748456954956,2017
461,Somaliland Region,Sub-Saharan Africa,,,,,,,,,,2017
462,South Africa,Sub-Saharan Africa,101.0,4.8289999961853,1.05469870567322,1.38478863239288,0.18708007037639604,0.479246735572815,0.0725094974040985,0.13936237990856198,1.51090860366821,2017
463,South Korea,Eastern Asia,55.0,5.837999820709231,1.40167844295502,1.1282744407653797,0.900214076042175,0.257921665906906,0.0632826685905457,0.206674367189407,1.8803780078887902,2017
464,South Sudan,Sub-Saharan Africa,147.0,3.5910000801086404,0.39724862575531,0.601323127746582,0.163486003875732,0.147062435746193,0.116793513298035,0.285670816898346,1.8795673847198502,2017
465,Spain,Western Europe,34.0,6.40299987792969,1.38439786434174,1.53209090232849,0.888960599899292,0.408781230449677,0.0709140971302986,0.190133571624756,1.92775774002075,2017
466,Sri Lanka,Southern Asia,120.0,4.44000005722046,1.00985014438629,1.25997638702393,0.625130832195282,0.561213254928589,0.0736539661884308,0.49086356163024897,0.41938924789428705,2017
467,Sudan,Sub-Saharan Africa,130.0,4.138999938964839,0.6595166921615601,1.21400856971741,0.290920823812485,0.0149958552792668,0.089847519993782,0.182317450642586,1.6870658397674598,2017
468,Suriname,Latin America and Caribbean,,,,,,,,,,2017
469,Swaziland,Sub-Saharan Africa,,,,,,,,,,2017
470,Sweden,Western Europe,9.0,7.28399991989136,1.49438726902008,1.47816216945648,0.830875158309937,0.612924098968506,0.384398728609085,0.38539925217628496,2.09753799438477,2017
471,Switzerland,Western Europe,4.0,7.49399995803833,1.5649795532226598,1.51691174507141,0.858131289482117,0.620070576667786,0.36700728535652205,0.29054927825927696,2.2767162322998,2017
472,Syria,Middle East and Northern Africa,152.0,3.46199989318848,0.777153134346008,0.396102607250214,0.5005333423614501,0.0815394446253777,0.15134713053703303,0.49366372823715204,1.06157350540161,2017
473,Taiwan,Eastern Asia,,,,,,,,,,2017
474,Taiwan Province Of China,Eastern Asia,33.0,6.42199993133545,1.4336265325546298,1.38456535339355,0.793984234333038,0.361466586589813,0.0638292357325554,0.258360475301743,2.1266074180603,2017
475,Tajikistan,Central and Eastern Europe,96.0,5.04099988937378,0.524713635444641,1.27146327495575,0.5292351245880129,0.47156670689582797,0.14637714624404902,0.24899764358997303,1.8490493297576898,2017
476,Tanzania,Sub-Saharan Africa,153.0,3.34899997711182,0.511135876178741,1.04198980331421,0.364509284496307,0.390017777681351,0.0660351067781448,0.354256361722946,0.621130466461182,2017
477,Thailand,Southeastern Asia,32.0,6.4239997863769505,1.12786877155304,1.4257924556732198,0.647239029407501,0.580200731754303,0.0316127352416515,0.572123110294342,2.03950834274292,2017
478,Togo,Sub-Saharan Africa,150.0,3.4949998855590803,0.30544471740722695,0.4318825304508211,0.247105568647385,0.38042613863945,0.0956650152802467,0.19689615070819896,1.8372292518615703,2017
479,Trinidad And Tobago,Latin America and Caribbean,38.0,6.1680002212524405,1.36135590076447,1.3802285194397,0.5199832916259771,0.518630743026733,0.00896481610834599,0.32529646158218395,2.0532474517822297,2017
480,Tunisia,Middle East and Northern Africa,102.0,4.80499982833862,1.00726580619812,0.8683514595031742,0.613212049007416,0.289680689573288,0.0867231488227844,0.0496933571994305,1.8902511596679699,2017
481,Turkey,Middle East and Northern Africa,69.0,5.5,1.1982743740081798,1.33775317668915,0.6376056075096129,0.300740599632263,0.0996715798974037,0.0466930419206619,1.87927794456482,2017
482,Turkmenistan,Central and Eastern Europe,59.0,5.82200002670288,1.1307767629623402,1.49314916133881,0.437726080417633,0.41827192902565,0.25927034020423895,0.24992498755454998,1.83290982246399,2017
483,Uganda,Sub-Saharan Africa,133.0,4.08099985122681,0.381430715322495,1.12982773780823,0.21763260662555703,0.443185955286026,0.057069718837738,0.32576605677604703,1.526362657547,2017
484,Ukraine,Central and Eastern Europe,132.0,4.09600019454956,0.89465194940567,1.39453756809235,0.575903952121735,0.12297477573156401,0.0230294708162546,0.270061463117599,0.8143823146820072,2017
485,United Arab Emirates,Middle East and Northern Africa,21.0,6.6479997634887695,1.6263433694839498,1.2664102315902699,0.726798236370087,0.60834527015686,0.324489563703537,0.3609419465065,1.734703540802,2017
486,United Kingdom,Western Europe,19.0,6.71400022506714,1.44163393974304,1.4964600801467902,0.805335938930511,0.508190035820007,0.265428066253662,0.492774158716202,1.7041435241699199,2017
487,United States,North America,14.0,6.993000030517581,1.54625928401947,1.4199205636978103,0.7742866277694699,0.505740523338318,0.135638788342476,0.392578780651093,2.2181134223937997,2017
488,Uruguay,Latin America and Caribbean,28.0,6.4539999961853,1.2175596952438401,1.4122278690338101,0.719216823577881,0.5793922543525699,0.17806187272071802,0.175096929073334,2.17240953445435,2017
489,Uzbekistan,Central and Eastern Europe,47.0,5.97100019454956,0.786441087722778,1.5489691495895401,0.498272627592087,0.6582486629486078,0.246528223156929,0.41598364710807795,1.8169136047363301,2017
490,Venezuela,Latin America and Caribbean,82.0,5.25,1.12843120098114,1.43133759498596,0.617144227027893,0.15399712324142498,0.0644911229610443,0.0650196298956871,1.78946375846863,2017
491,Vietnam,Southeastern Asia,94.0,5.07399988174438,0.7885475754737851,1.27749133110046,0.6521689891815191,0.571055591106415,0.0876332372426987,0.23496805131435397,1.46231865882874,2017
492,Yemen,Middle East and Northern Africa,146.0,3.59299993515015,0.5916834473609921,0.93538224697113,0.310080915689468,0.24946372210979503,0.0567674227058887,0.104125209152699,1.3456006050109899,2017
493,Zambia,Sub-Saharan Africa,116.0,4.513999938964839,0.6364067792892459,1.00318729877472,0.25783589482307395,0.461603492498398,0.0782135501503944,0.249580144882202,1.82670545578003,2017
494,Zimbabwe,Sub-Saharan Africa,138.0,3.875,0.37584653496742204,1.08309590816498,0.19676375389099102,0.336384207010269,0.0953753814101219,0.189143493771553,1.59797024726868,2017
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