ostatnie zmiany w Employees

.gitignore

@@ -10,4 +10,4 @@ __pycache__/
 /dzien4/pliki/nowy_win.txt
 /dzien4/pliki/ponumerowany.txt
 /dzien4/pliki/posortowany.txt
-/dzien8/emps2_obiektowo/zmienione.csv
+/dzien8/*/zmienione.csv

dzien8/emps3_dodatki/employees.py

@@ -22,13 +22,17 @@ class Employee:
         return f'Pracownik nr {self.employee_id}: {self.first_name} {self.last_name} ({self.job_title}), pensja {self.salary}'
 
 
-def read_csv(file_path='emps.csv'):
+    # Tutaj wczytywanie danych z pliku zrobimy jako metodę statyczną wewnątrz klasy.
+    # Metoda statyczna nie przyjmuje parametru self i jest wywoływana nie na obiekcie, tylko na klasie.
+    @staticmethod
+    def read_csv(file_path='emps.csv'):
         with open(file_path, mode='r', encoding='utf-8') as file:
             file.readline()
             return [Employee(*(line.strip().split(Employee.SEP))) for line in file]
 
 
-def write_csv(emps, sciezka):
+    @staticmethod
+    def write_csv(emps, sciezka):
         with open(sciezka, mode='w', encoding='utf-8') as file:
             print(*Employee.nazwy_kolumn, sep=Employee.SEP, file=file)
             for emp in emps:

dzien8/emps3_dodatki/p0_test_odczytu.py

-from employees import read_csv
+from employees import Employee
 
-emps = read_csv('emps.csv')
+emps = Employee.read_csv('emps.csv')
 print('Liczba odczytanych rekordów:', len(emps))
 for emp in emps:
     print(emp)

dzien8/emps3_dodatki/p1_wypisz_dane.py

-from employees import read_csv
-
-# Wszystkie szczegóły związane z dostępem do pliku, są ukryte w tej funkcji
-emps = read_csv('emps.csv')
-
-# Aby wykonać operacje "dla każdego pracownika", wykonujemy pętlę po elementach listy `emps`.
-# Pojedynczy element `emp` to obiekt klasy `Employee`, a dane pracownika są dostępne3 w postaci atrybutów tego obiektu,
-# np. `.first_name`, `.salary`
-for emp in emps:
-    print(f'Pracownik {emp.first_name} {emp.last_name} ({emp.job_title}) zarabia ${emp.salary}')

dzien8/emps3_dodatki/p2_wypisz_bogatych.py

-from employees import read_csv
-
-emps = read_csv('emps.csv')
-ile = 0
-for emp in emps:
-    if emp.salary >= 10_000:
-        print(f'Pracownik {emp.first_name} {emp.last_name} ({emp.job_title}) zarabia ${emp.salary}')
-        ile += 1
-
-print('Liczba bogatych:', ile)

dzien8/emps3_dodatki/p3_srednia_wszystkich.py

-from employees import read_csv
+from employees import Employee
 
-emps = read_csv('emps.csv')
+emps = Employee.read_csv('emps.csv')
 suma = 0
 for emp in emps:
     suma += emp.salary

dzien8/emps3_dodatki/p4_srednia_jeden_job_v1.py

-from employees import read_csv
+from employees import Employee
 
+emps = Employee.read_csv('emps.csv')
 jaki_job = input('Podaj nazwę stanowiska, np. Programmer: ')
-emps = read_csv('emps.csv')
 ile = 0
 suma = 0
 for emp in emps:

dzien8/emps3_dodatki/p4_srednia_jeden_job_v2.py

-from employees import read_csv
-import statistics
-
-emps = read_csv('emps.csv')
-jobs = {emp.job_title for emp in emps}
-print('Dostępne stanowiska:', jobs)
-
-jaki_job = input('Podaj nazwę stanowiska, np. Programmer: ')
-
-try:
-    srednia = statistics.mean(emp.salary for emp in emps if emp.job_title == jaki_job)
-    print(f'Średnia na stanowisku {jaki_job} jest równa {srednia}')
-except statistics.StatisticsError:
-    print(f'Nikt nie pracuje na stanowisku {jaki_job}')

dzien8/emps3_dodatki/p5_grupowanie_v1.py

-''' Dla każdej wartości job_title, która występuje w danych,
-    oblicz liczbę pracowników i średnią pensję.
-
-   Spodziewane wyniki (może w innej kolejności):
-   * President - 1 - 24000
-   * Administation Vice President - 2 - 17000
-   * Programmer - 5 - 5760
-   * ... ????
-'''
-
-# W tej wersji wielokrotnie przeglądamy cała listę:
-# najpierw, aby ustalić, jakie są joby, a następnie dla każdego joba licząc średnią tak, jak w zadaniu 4.
-# Ta wersja nie jest optymalna pod względem wydajności.
-
-from employees import read_csv
-
-emps = read_csv('emps.csv')
-# etap 1: zbieranie informacji o jobach
-jobs = set()
-for emp in emps:
-    jobs.add(emp.job_title)
-# print(jobs)
-
-# etap 2: dla każdego joba liczymy liczbę oraz sumę pracowników i wypisujemy średnią
-for job in jobs:
-    ile = 0
-    suma = 0
-    for emp in emps:
-        if emp.job_title == job:
-            suma += emp.salary
-            ile += 1
-    srednia = suma / ile
-    print(f'| {job:32} | {ile:2} | {srednia:8.2f} |')

dzien8/emps3_dodatki/p5_grupowanie_v2.py

-from employees import read_csv
-
-# W tej wersji dane (sumę pensji i liczbę osoób) zbieramy do słowników, gdzie kluczami są nazwy jobów.
-emps = read_csv('emps.csv')
-ilosci = {}
-sumy = {}
-
-for emp in emps:
-    if emp.job_title in sumy:
-        sumy[emp.job_title] += emp.salary
-        ilosci[emp.job_title] += 1
-    else:
-        sumy[emp.job_title] = emp.salary
-        ilosci[emp.job_title] = 1
-
-# print(sumy)
-# print(ilosci)
-for job in sumy.keys():
-    suma = sumy[job]
-    ilosc = ilosci[job]
-    srednia = suma / ilosc
-    print(f'| {job:32} | {ilosc:2} | {srednia:8.2f} |')

dzien8/emps3_dodatki/p5_grupowanie_v3.py

-from employees import read_csv
+from employees import Employee
 
-emps = read_csv('emps.csv')
+emps = Employee.read_csv('emps.csv')
 slownik = {}
 # W słowniku kluczem jest job, a wartością jest dwuelementowa lista: [count, sum]
 

dzien8/emps3_dodatki/p5_grupowanie_v4.py

-from collections import defaultdict
-from employees import read_csv
-
-emps = read_csv('emps.csv')
-ilosci = defaultdict(int)
-sumy = defaultdict(float)
-
-for emp in emps:
-    sumy[emp.job_title] += emp.salary
-    ilosci[emp.job_title] += 1
-
-for job in sumy.keys():
-    suma = sumy[job]
-    ilosc = ilosci[job]
-    srednia = suma / ilosc
-    print(f'| {job:32} | {ilosc:2} | {srednia:8.2f} |')

dzien8/emps3_dodatki/p5_grupowanie_v5.py

-from collections import defaultdict
-from employees import read_csv
-
-emps = read_csv('emps.csv')
-# Jako parametr defaultdict wpisuje się "przepis na nowy element".
-# Gdy podajemy przykłądowo int, to używane jest to w taki sposób, że jest wywoływane int() , a to daje wynik 0.
-# Tutaj podamy funkcję, która nie pobiera argumentów, a wyniku zwraca nową listę zaweirającą dwa zera.
-slownik = defaultdict(lambda: [0, 0])
-
-for emp in emps:
-    slownik[emp.job_title][0] += 1
-    slownik[emp.job_title][1] += emp.salary
-
-print(slownik)
-print()
-
-for job, (ilosc, suma) in slownik.items():
-    srednia = suma / ilosc
-    print(f'| {job:32} | {ilosc:2} | {srednia:8.2f} |')

dzien8/emps3_dodatki/p6_min_max_v1.py

-# Wypisz dane pracownika, który zarabia najwięcej, i pracownika, który zarabia najmniej.
-from employees import read_csv
-
-emps = read_csv('emps.csv')
-
-max_salary = 0
-max_ktotojest = ''
-min_salary = 1_000_000_000
-# min_salary = float('+inf')
-min_ktotojest = ''
-
-for emp in emps:
-    if emp.salary > max_salary:
-        max_salary = emp.salary
-        max_ktotojest = emp.first_name + ' ' + emp.last_name
-
-for emp in emps:
-    if emp.salary < min_salary:
-        min_salary = emp.salary
-        min_ktotojest = emp.first_name + ' ' + emp.last_name
-
-print('Najwyższa pensja:', max_salary, 'Pracownik:', max_ktotojest)
-print('Najniższa pensja:', min_salary, 'Pracownik:', min_ktotojest)

dzien8/emps3_dodatki/p6_min_max_v2.py

-from employees import read_csv
-
-emps = read_csv('emps.csv')
-# Uwaga! Pod nazwami min i max znajdują się wbudowane funkcje Pythona.
-# Można pod te nazwy wpisać własne wartości, ale wtedy w obrębie tego programu nie będą dostępne funkcje min i max
-max = None
-min = None
-
-for emp in emps:
-    if max is None or emp.salary > max.salary:
-        max = emp
-    if min is None or emp.salary < min.salary:
-        min = emp
-
-print('Najbogatszy:', max)
-print('Najbiedniejszy:', min)

dzien8/emps3_dodatki/p6_min_max_v3.py

-from employees import read_csv
-
-emps = read_csv('emps.csv')
-# Na początku do min i max wpisujemy pierwszego pracownika, a później w pętli sprawdzamy, czy kotś ma większą / mniejszą pensję
-max = emps[0]
-min = emps[0]
-
-for emp in emps:
-    if emp.salary > max.salary:
-        max = emp
-    if emp.salary < min.salary:
-        min = emp
-
-print('Najbogatszy:', max)
-print('Najbiedniejszy:', min)

dzien8/emps3_dodatki/p6_min_max_v4.py

-from employees import read_csv
-
-emps = read_csv('emps.csv')
-
-# etap 1: ustalamy wartości minimalnej i maksymalnej pensji
-max_salary = max(emp.salary for emp in emps)
-min_salary = min(emp.salary for emp in emps)
-
-# etap 2: wypisujemy te osoby, które mają właśnie taką pensję
-print('Najwyższa pensja:', max_salary)
-print('Zarabia tyle:')
-for emp in emps:
-    if emp.salary == max_salary:
-        print(emp)
-print()
-
-print('Najniższa pensja:', min_salary)
-print('Zarabia tyle:')
-for emp in emps:
-    if emp.salary == min_salary:
-        print(emp)

dzien8/emps3_dodatki/p7_wypisz_posortowanych_v1.py

-from employees import read_csv
-
-emps = read_csv('emps.csv')
-print(f'Wczytano {len(emps)} rekordów:')
-
-emps.sort(key=lambda emp: emp.salary, reverse=True)
-
-for emp in emps:
-    print(emp)

dzien8/emps3_dodatki/p7_wypisz_posortowanych_v2.py

-from employees import read_csv
-
-emps = read_csv('emps.csv')
-print(f'Wczytano {len(emps)} rekordów:')
-
-for emp in sorted(emps, key=lambda emp: emp.salary, reverse=True):
-    print(emp)

dzien8/emps3_dodatki/podwyzka.py

-from employees import *
+from employees import Employee
+
+emps = Employee.read_csv('emps.csv')
 
-emps = read_csv('emps.csv')
 job = input('Podaj nazwę stanowiska: ')
 podwyzka = int(input('Podaj kwotę podwyżki: '))
 
@@ -8,4 +9,4 @@ for emp in emps:
     if emp.job_title == job:
         emp.salary += podwyzka
 
-write_csv(emps, 'zmienione.csv')
+Employee.write_csv(emps, 'zmienione.csv')

dzien8/emps3_dodatki/prosty_przyklad.py

-from employees import Employee
-
-steven = Employee(100, 'Steven', 'King', 'President', 24000, '2001-01-01', 'Executive', 'Jasna 14/16a', '01-321', 'Warszawa', 'Polska')
-print(steven)
-print(f'{steven.first_name} pracuje w mieście {steven.city}')

dzien8/emps3_dodatki/zmienione.csv

-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;9009;2000-01-03;IT;2014 Jabberwocky Rd;26192;Southlake;United States of America
-104;Bruce;Ernst;Programmer;6009;2001-05-21;IT;2014 Jabberwocky Rd;26192;Southlake;United States of America
-105;David;Austin;Programmer;4809;2007-06-25;IT;2014 Jabberwocky Rd;26192;Southlake;United States of America
-106;Valli;Pataballa;Programmer;4809;2008-02-05;IT;2014 Jabberwocky Rd;26192;Southlake;United States of America
-107;Diana;Lorentz;Programmer;4209;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