przykładowe dane do analizy

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/dane_miast.csv

+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

+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/iris.data

+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/season.csv

+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/tabele/countries.csv

+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

+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

+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

+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

+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

+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