Salaries at KU.ipynb

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   "cells": [
    {
     "cell_type": "heading",
     "level": 1,
     "metadata": {},
     "source": [
      "Staff and researcher salaries 2014 at the University of Copenhagen"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "This is a quick analysis of the salaries from Copenhagen Univeristy (KU) as published by the [University Post][1].\n",
      "\n",
      "Source: [Staff and researcher salaries 2014 at the University of Copenhagen][1].\n",
      " \n",
      "[1]: http://universitypost.dk/article/staff-and-researcher-salaries-2014-university-copenhagen"
     ]
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      "data = \"\"\"\n",
      "1 Rector (Rektor): 1 FTE: 165,169 DKK (2013 figures. 2014 figures not available)\n",
      "2 Prorector (Prorektor): 1 FTE: 124,033 DKK (2013 figures. 2014 figures not available)\n",
      "3 University Director (Universitetsdirekt\u00f8r): 1 FTE: 119,694 DKK (2013 figures. 2014 figures not available)\n",
      "4 Dean (Dekan): 5.0 FTE: DKK 115,441 DKK\n",
      "5 Director (Direkt\u00f8r): 3.0 FTE: 96,020 DKK\n",
      "6 Deputy (Vice Direkt\u00f8r): 8.0 FTE: DKK 95,247 DKK\n",
      "7 Associate Dean (Prodekan): 8.9 FTE: 93,000 DKK\n",
      "8 Faculty Director (Fakultetsdirekt\u00f8r): 6.0 FTE: 87,832 DKK\n",
      "9 Department (Institutleder): 35.0 FTE: 80,256 DKK\n",
      "10 Campus Director (Campuschef): 3.0 FTE: 67,844 DKK\n",
      "11 Professor (Professor): 443.4 FTE: 67,687 DKK\n",
      "12 Head of Department (Kontorchef): 4.0 FTE: 67,576 DKK\n",
      "13 Head of Staff (Personalechef): 4.0 FTE: 65,409 DKK\n",
      "14 Head of Research (Forskningschef): 3.0 FTE: 64,326 DKK\n",
      "15 Head of Finance (\u00d8konomichef): 4.0 FTE: 64,013 DKK\n",
      "16 Professor mso (Professor mso): 125.0 FTE: 63,502 DKK\n",
      "17 Director of Studies (Studiechef): 9.0 FTE: 63,479 DKK\n",
      "18 Senior Research Consultant (Senior Forskningskonsulent): 3.0 FTE: 61,728 DKK\n",
      "19 Head of Administration (Administrationschef): 7.0 FTE: 61,178 DKK\n",
      "20 Head of Secretariat (Sekretariatschef): 3.0 FTE: 60,932 DKK\n",
      "21 Head of IT (IT-Chef): 4.0 FTE: 60,480 DKK\n",
      "22 Deputy Head (Souschef): 3.0 FTE: 59,607 DKK\n",
      "23 Chief Consultant (Chefkonsulent): 124.8 FTE: 59,607 DKK\n",
      "24 Chamber Dentist (Afdelingstandl\u00e6ge): 12.7 FTE: 57,867 DKK\n",
      "25 Department Administrator (Institutadministrator): 11.9 FTE: 55,845 DKK\n",
      "26 Head of Library Department (Bibliotekschef): 3.8 FTE: 54,822 DKK\n",
      "27 Associate Professor-Ph.D. (Lektor - Ph.D.): 10.8 FTE: 54,520 DKK\n",
      "28 Senior Consultant (Senior Konsulent): 5.8 FTE: 53,655 DKK\n",
      "29 Administrator (Administrator): 4.0 FTE: 53,376 DKK\n",
      "30 Research Consultant (Forskningskonsulent): 9.2 FTE: 52,306 DKK\n",
      "31 Area Manager (Omr\u00e5deleder): 7.0 FTE: 52,236 DKK\n",
      "32 IT-Manager (IT-Leder): 6.0 FTE: 52,211 DKK\n",
      "33 Chief Engineer (Maskinmester): 11.0 FTE: 52,001 DKK\n",
      "34 Section Manager (Sektionsleder): 7.0 FTE: 51,213\n",
      "35 Construction (Bygningskonstrukt\u00f8r): 5.0 FTE: 50,975 DKK\n",
      "36 Project Manager (Projektleder): 13.0 FTE: 50,794 DKK\n",
      "37 Senior Researcher (Seniorforsker): 31,8 FTE: 50,749 DKK\n",
      "38 Associate Professor (Lektor): 1074.3 FTE: 50,328 DKK\n",
      "39 Research Associate (Forskningslektor): 4.0 FTE: 49,999 DKK\n",
      "40 Architect (Arkitekt): 10,8 FTE: 49,895 DKK\n",
      "41 Finance Consultant (\u00d8konomikonsulent): 4.0 FTE: 49,734 DKK\n",
      "42 Special Consultant (Specialkonsulent): 269.0 FTE: 49,332 DKK\n",
      "43 Operations Manager (Driftsleder): 8.0 FTE: 49,190 DKK\n",
      "44 HR Consultant (Hr-Konsulent): 6.0 FTE: 49,003 DKK\n",
      "45 Senior Advisor (Seniorr\u00e5dgiver): 9.0 FTE: 48,849 DKK\n",
      "46 Engineer (Ingeni\u00f8r): 9,5: FTE: 48,798 DKK\n",
      "47 IT-Project Manager (IT-Projektleder): 4.0 FTE: 48,542 DKK\n",
      "48 Civil Engineer (Civilingeni\u00f8r): 5.0 FTE: 48,097 DKK\n",
      "49 Web Editor (Webredakt\u00f8r): 3.0 FTE: 47,999 DKK\n",
      "50 Doctor (L\u00e6ge): 8.1 FTE: 47,760 DKK\n",
      "51 Leader (Leder): 3.5 FTE: 47,622 DKK\n",
      "52 Inspector (Inspekt\u00f8r): 7.0 FTE: 46,739 DKK\n",
      "53 Web Master (Webmaster): 3.0 FTE: 46,249 DKK\n",
      "54 Academic Coordinator (Akademisk Koordinator): 8.2 FTE: 46,050 DKK\n",
      "55 Department Manager (Afdelingsleder): 7.1 FTE: 45,860 DKK\n",
      "56 Journalist (Journalist): 6.0 FTE: 45,773 DKK\n",
      "57 Study Associate (Studielektor): 24.2 FTE: 45,200 DKK\n",
      "58 Dentist (Tandl\u00e6ge): 4.5 FTE: 44,806 DKK\n",
      "59 Teaching Assistant (Undervisningsadjunkt): 13.9 FTE. 44,781 DKK\n",
      "60 Forensic Academic Staff (Retsmedicinsk Akademisk Personale): 43.5 FTE: 44,693 DKK\n",
      "61 Senior Veterinarian (Seniordyrl\u00e6ge): 18.3 FTE: 44,601 DKK\n",
      "62 Legal Geneticist (Retsgenetiker): 6.8 FTE: 44,545 DKK\n",
      "63 IT-Administrator (IT-Administrator): 6.9 FTE: 44,475 DKK\n",
      "64 Clinical Teacher (Klinisk L\u00e6rer): 13.2 FTE: 44,350 DKK\n",
      "65 Research Coordinator (Forskningskoordinator): 8.0 FTE: 44,065 DKK\n",
      "66 Study Coordinator (Studiekoordinator): 5.7 FTE: 43,893 DKK\n",
      "67 Research Clerk (Forskningsfuldm\u00e6gtig): 28.8 FTE: 43,633 DKK\n",
      "68 Groups under 3-years FTE (Grupper under 3 \u00e5rsv\u00e6rk): * FTE: 43,595 DKK\n",
      "69 Teacher (Underviser): 6.0 FTE: 43,414 DKK\n",
      "70 Clinical Professor (Klinisk Professor): 63.3 FTE: 43,377 DKK\n",
      "71 Veterinarian (Dyrl\u00e6ge): 11.5 FTE: 43,154 DKK\n",
      "72 Consultant (Konsulent): 3.9 FTE: 43,053 DKK\n",
      "73 Academic Secretary (Faglig Sekret\u00e6r): 7.2 FTE: 42,356 DKK\n",
      "74 Assistant Professor (Adjunkt): 256.0 FTE: 42,015 DKK\n",
      "75 Project Coordinator (Projekt Koordinator): 10.2 FTE: 41,287 DKK\n",
      "76 International Researcher (International Researcher): 5.0 FTE: 41,278 DKK\n",
      "77 Repairman (Reparat\u00f8r): 4.0 FTE: 41,229 DKK\n",
      "78 Legal Clerk (Fuldm\u00e6gtig): 441.3 FTE: 40,977 DKK\n",
      "79 Academic Employee (Ac-Medarbejder): 72.8 FTE: 40,956 DKK\n",
      "80 Communications Officer (Kommunikationsmedarbejder): 9.7 FTE: 40,858 DKK\n",
      "81 Electrician (Elektriker): 11.0 FTE: 40,508 DKK\n",
      "82 IT Officer (IT-Medarbejder Fu): 119.5 FTE: 40,388 DKK\n",
      "83 IT Consultant (IT-Konsulent): 3.0 FTE: 40,386 DKK\n",
      "84 Post. Doc. (Post Doc.): 916.5 FTE: 40,343 DKK\n",
      "85 Area Leader (Omr\u00e5deleder): 14.8 FTE: 40,267 DKK\n",
      "86 Coordinator (Koordinator): 9.3 FTE: 40,175 DKK\n",
      "87 Finance Coordinator (\u00d8konomikoordinator): 9.0 FTE: 40,123 DKK\n",
      "88 IT Employee (IT-Medarbejder): 15.3 FTE. 39,975 DKK\n",
      "89 EDB Employee (Edb-Medarbejder): 6.2 FTE: 39,812 DKK\n",
      "90 Maintainance Officer (Betjent Fu): 8.0 FTE: 39,808 DKK\n",
      "91 Bachelor of Engineering (Diplomingeni\u00f8r): 3.0 FTE: 39,698 DKK\n",
      "92 Conservator (Konservator): 6.8 FTE: 39,636 DKK\n",
      "93 Academic Clerk (Ac-Fuldm\u00e6gtig): 8.9 FTE: 39,629 DKK\n",
      "94 Forest & Landscape Engineer (Skov- Og Landskabsingeni\u00f8r): 9.8 FTE: 39,552 DKK\n",
      "95 Instructor (Fagl\u00e6rer): 44.1 FTE: 39,263 DKK\n",
      "96 Teaching Assistant Professor (Undervisningsadjunkt): 12.5 FTE: 39,083 DKK\n",
      "97 Research Technician (Forskningstekniker): 9.9 FTE: 38,957 DKK\n",
      "98 Study Counselor (Studievejleder): 10.2 FTE: 38,937 DKK\n",
      "99 Information Specialist (Informationsspecialist): 11.5 FTE: 38,909 DKK\n",
      "100 Librarian (Bibliotekar): 18.8 FTE: 38,868 DKK\n",
      "101 Clinial Veterinary (Klinikveterin\u00e6r): 13.0 FTE: 38,854 DKK\n",
      "102 Student Teacher (Studieadjunkt): 11.2 FTE: 38,673 DKK\n",
      "103 Researcher (Forsker): 6.0 FTE: 38,540 DKK\n",
      "104 Academic Officer (Ac-Medarbejder): 5.5 FTE: 38,526 DKK\n",
      "105 Programmer (Programm\u00f8r): 3.7 FTE: 38,472 DKK\n",
      "106 Chief Secretary (Chefsekret\u00e6r): 11.7 FTE: 38,228 DKK\n",
      "107 Administration Officer (Administrationsmedarbejder): 6.5 FTE: 38,182 DKK\n",
      "108 Graphic Designer (Grafisk Designer): 6.9 FTE: 38,046 DKK\n",
      "109 Head of Cleaning (Reng\u00f8ringsleder): 5.0 FTE: 38,020 DKK\n",
      "110 Engineer Assistant (Ingeni\u00f8rassistent): 38.6 FTE: 37,741 DKK\n",
      "111 Craftsman (H\u00e5ndv\u00e6rker): 33.5 FTE: 37,278 DKK\n",
      "112 Warder (Vagtmester): 3.0 FTE: 37,260 DKK\n",
      "113 Procurement Coordinator (Indk\u00f8bskoordinator): 3.0 FTE: 37,148 DKK\n",
      "114 Craftsman Fu (H\u00e5ndv\u00e6rker Fu): 8.9 FTE: 37,081 DKK\n",
      "115 Typographer (Typograf): 4.0 FTE: 37,070 DKK\n",
      "116 Academic Staff (Akademisk Medarbejder): 44.4 FTE: 37,042 DKK\n",
      "117 Correspondent (Korrespondent): 12.5 FTE: 36,856 DKK\n",
      "118 Nurse (Sygeplejerske): 3.4 FTE: 36,846 DKK\n",
      "119 Project Economist (Projekt\u00f8konom): 9.8 FTE: 36,738 DKK\n",
      "120 Clinic Guard (Klinikbetjent): 3.4 FTE: 36,721 DKK\n",
      "121 Electrical Technician (Elektroniktekniker): 3.0 FTE: 36,208 DKK\n",
      "122 Finance Officer (\u00d8konomimedarbejder): 37.4 FTE: 35,923 DKK\n",
      "123 Pharmaconomist (Farmakonom): 3.6 FTE: 35,878 DKK\n",
      "124 Health & Safety Consultant (Arbejdsmilj\u00f8konsulent): 3.0 FTE: 35,828 DKK\n",
      "125 Bioanalyst (Bioanalytiker): 61.2 FTE: 35,783 DKK\n",
      "126 Nutrional Economist (En\u00e6rings- og Husholdningskonsulent): 5.6 FTE: 35,714 DKK\n",
      "127 Department Clerk (Kontorfuldm\u00e6gtig): 24.3 FTE: 35,594 DKK\n",
      "128 Laboratory Coordinator (Laboratoriekoordinator): 24.4 FTE: 35,593 DKK\n",
      "129 Project Officer (Projektmedarbejder): 8.5 FTE: 35,560 DKK\n",
      "130 IT-Supporter (IT-Supporter): 15.6 FTE: 35,496 DKK\n",
      "131 External Associate Professor (Ekstern Lektor): 52.6 FTE: 35,286 DKK\n",
      "132 Scientific Assistant (Videnskabelig Assistent): 315.0 FTE: 35,180 DKK\n",
      "133 Exam Coordinator (Eksamenskoordinator): 5.9 FTE: 35,081 DKK\n",
      "134 Department Secretary (Institutsekret\u00e6r): 9.2 FTE: 34,990 DKK\n",
      "135 Photographer (Fotograf): 3.6 FTE: 34,955 DKK\n",
      "136 Section Secretary (Sektionssekret\u00e6r): 4.7 FTE: 34,899 DKK\n",
      "137 HR-Officer (Hr-Medarbejder): 26.7 FTE: 34,888 DKK\n",
      "138 Laboratory Technician (Laboratorietekniker): 34.0 FTE: 34,716 DKK\n",
      "139 Dentist in training (Tandl\u00e6ge under uddannelse): 6.0 FTE: 34,518 DKK\n",
      "140 Staff Caseworker (Personalesagsbehandler): 3.0 FTE: 34,511 DKK\n",
      "141 Staff Secretary (Jordbrugstekniker): 13.9 FTE: 34,475 DKK\n",
      "142 Animal Assistant (Dyreassistent): 24.6 FTE: 34,460 DKK\n",
      "143 Staff Employee (Personalemedarbejder): 3.8 FTE: 34,447 DKK\n",
      "144 Agricultural Technician (Jordbrugstekniker): 3.0 FTE: 34,439 DKK\n",
      "145 Research Secretary (Forskningssekret\u00e6r): 17.1 FTE: 34,388 DKK\n",
      "146 Education Secretary (Uddannelsessekret\u00e6r): 3.0 FTE: 34,295 DKK\n",
      "147 Study Administration Secretary (Studieadministrationssekret\u00e6r): 4.6 FTE: 34,154 DKK\n",
      "148 Fine Mechanic (Finmekaniker): 3.8 FTE: 34,066 DKK\n",
      "149 Special Dentist Master (Specialtandl\u00e6gekandidat): 11.0 FTE: 33,801 DKK\n",
      "150 Salary Employee (L\u00f8nmedarbejder): 5.7 FTE: 33,496 DKK\n",
      "151 Veterinary Nurse (Veterin\u00e6rsygeplejerske): 13.2 FTE: 33,493 DKK\n",
      "152 Laboratory Technician (Laborant): 332.4 FTE: 33,398 DKK\n",
      "153 Study Secretary (Studiesekret\u00e6r): 21.6 FTE: 33,375 DKK\n",
      "154 Office Worker (Kontorfunktion\u00e6r): 360.7 FTE: 33,165 DKK\n",
      "155 Study & Exam Worker (Studie/Eksamensmedarbejder): 32.3 FTE: 32,994 DKK\n",
      "156 Research Worker (Forskningsmedarbejder): 6.3 FTE: 32,958 DKK\n",
      "157 Ph.D. Student (Ph.D. Studerende): 652.0 FTE: 32,857 DKK\n",
      "158 Course Coordinator (Kursuskoordinator): 3.0 FTE: 32,821 DKK\n",
      "159 Secretary (Sekret\u00e6r): 15.3 FTE: 32,704 DKK\n",
      "160 Gardener (Gartner): 30.9 FTE: 32,673 DKK\n",
      "161 Forensic Administators (Retsmedicinsk kontorpersonale): 9.6 FTE: 32,669 DKK\n",
      "162 Accountancy Worker (Regnskabsmedarbejder): 57,9 FTE: 32,669 DKK\n",
      "163 Chef (Kok): 4.0 FTE: 32,344 DKK\n",
      "164 Web Officer (Web-Medarbejder): 3.0 FTE: 32,024 DKK\n",
      "165 Doctor Secretary (L\u00e6gesekret\u00e6r): 8.0 FTE: 31,915 DKK\n",
      "166 Nutrition Assistant (Ern\u00e6ringsassistent): 4.5 FTE: 31,723 DKK\n",
      "167 Ph.D. Secretary (Ph.D. Sekret\u00e6r): 3.0 FTE: 31,673 DKK\n",
      "168 Chief Assistant (Overassistent): 3.2 FTE: 31,536 DKK\n",
      "169 Veterinary Nurse (Veterin\u00e6rsygeplejerske): 12.1 FTE: 31,352 DKK\n",
      "170 Archive Employee (Journalmedarbejder): 5.0 FTE: 31,249 DKK\n",
      "171 Zookeeper (Dyrepasser): 45.0 FTE: 31,125 DKK\n",
      "172 Ph.D. Stipend (Ph.D. Stipendiat): 849.3 FTE: 30,729 DKK\n",
      "173 Receptionist (Receptionist): 10.7 FTE: 30,557 DKK\n",
      "174 Guard (Betjent): 86.1 FTE: 30,369 DKK\n",
      "175 Clinic Assistant (Klinikassistent): 50.8 FTE: 30,090 DKK\n",
      "176 Guard fu (Betjent Fu): 18.0 FTE: 29,404 DKK\n",
      "177 Instructor Assistant (Hj\u00e6lpel\u00e6rer): 11.9 FTE: 29,067 DKK\n",
      "178 Clinic Worker (Klinikmedarbejder): 9.7 FTE: 27,919 DKK\n",
      "179 Glass Washer (Glasvasker): 7.0 FTE: 27,020 DKK\n",
      "180 Kitchen Assistant (K\u00f8kkenmedhj\u00e6lper): 5.1 FTE: 26,261 DKK\n",
      "181 Student Study Counselor (Studenterstudievejleder): 17.1 FTE: 25,888 DKK\n",
      "182 Sanitarian (Sanit\u00f8r): 13.8 FTE: 25,787 DKK\n",
      "183 Service Assistant (Servicemedarbejder): 9.3 FTE: 25,236 DKK\n",
      "184 Cleaning Assistant (Reng\u00f8ringsassistent): 64.3 FTE: 25,162 DKK\n",
      "185 Student Assistant Fu (Studentermedhj\u00e6lp Fu): 6.7 FTE: 24,233 DKK\n",
      "186 Student Assistant (Studentermedhj\u00e6lp): 7.9 FTE: 22,522 DKK\n",
      "187 Laboratory Assistant (Laboratorieassistent): 5.9 FTE: 21,821 DKK\n",
      "188 Clinical Assistant (Klinikassistent): 13.0 FTE: 20,993 DKK\n",
      "189 Office Trainee (Kontorelev): 30. FTE: 20,033 DKK\n",
      "190 Animal Assistant Student (Dyreassistentelev): 3.0 FTE: 19,654 DKK\n",
      "191 Student (Studerende): 69.2 FTE: 19,114 DKK\n",
      "192 Gardener Student (Gartnerelev): 12.0 FTE: 18,842 DKK\n",
      "193 Student Fu (Studerende Fu): 27.7 FTE: 18,766 DKK\n",
      "194 IT-Support Student (IT-Supportelev): 3.0 FTE: 18,205 DKK\n",
      "195 Laboratory Intern (Laborantpraktikant): 42.0 FTE: 18,052 DKK\n",
      "196 Zookeeper Student (Dyrepasserelev): 23.4 FTE: 16,525 DKK\n",
      "197 Exam Observator (Eksamensvagt): 7.6 FTE: 15,601 DKK\n",
      "198 Fine Mechanic Student (Finmekanikerelev): 3.0 FTE: 15,386 DKK\n",
      "199 Veterinary Nurse Student (Veterin\u00e6rsygeplejerskeelev): 12.0 FTE: 14,624 DKK\n",
      "\"\"\""
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 7
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "import pandas as pd\n",
      "import re\n",
      "import matplotlib.pyplot as plt\n",
      "import seaborn"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 8
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "parse_salaries = re.compile(\"(\\\\d+?)\\s(.*):\\\\s(\\\\d+?[\\\\.,]??\\\\d??):??\\\\sFTE[:\\\\.]\\\\s.*?(\\\\d+?,\\\\d+?)\\\\s(?:DKK)??\", re.I)\n",
      "matches = parse_salaries.findall(data)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 9
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "cols = 'Rank Job FTE Salary'.split()\n",
      "df = pd.DataFrame(matches, columns=cols)"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 10
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df.FTE = df.FTE.str.replace(',', '.').astype(float)\n",
      "df.Salary = df.Salary.str.replace(',', '.').astype(float)\n",
      "df = df.convert_objects()"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 11
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "plt.plot(df.Rank, df.Salary)\n",
      "plt.xlabel('Rank')\n",
      "plt.ylabel('Salary in 1000 DKK')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 12,
       "text": [
        "<matplotlib.text.Text at 0x10fd22290>"
       ]
      },
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        "' width=505 height=357/>"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<matplotlib.figure.Figure at 0x10fd185d0>"
       ]
      }
     ],
     "prompt_number": 12
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df.Salary.hist()\n",
      "plt.ylabel('Number of jobs')\n",
      "plt.xlabel('Salary in 1000 DKK')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 13,
       "text": [
        "<matplotlib.text.Text at 0x10fbcb490>"
       ]
      },
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        "RU5ErkJggg==\n",
        "' width=505 height=357/>"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<matplotlib.figure.Figure at 0x11057ef90>"
       ]
      }
     ],
     "prompt_number": 13
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "If we include the number of employees for each job, we will have a better idea of the salary range of KU's employees. We can get these data by multiplying each job's salary by its FTE (full-time equivalent), which I've rounded to the closest integer here."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "salaries = []\n",
      "for _, row in df.iterrows():\n",
      "    salaries += [row[3] for _ in range(int(round(row.FTE)))]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [],
     "prompt_number": 14
    },
    {
     "cell_type": "code",
     "collapsed": true,
     "input": [
      "plt.hist(salaries, bins=20)\n",
      "plt.ylabel('Equivalent full-time employees')\n",
      "plt.xlabel('Salary in 1000 DKK')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 15,
       "text": [
        "<matplotlib.text.Text at 0x11058d150>"
       ]
      },
      {
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        "' width=511 height=357/>"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<matplotlib.figure.Figure at 0x110584e50>"
       ]
      }
     ],
     "prompt_number": 15
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Here, it is clearer that most KU employers earn between 30 and 50 thousand DKK per month. We can see the \"clusters\" of salaries more clearly in a violin plot."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "ax = seaborn.violinplot(salaries, names=[''])\n",
      "ax.set_ylabel('Salary in 1000 DKK')"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 16,
       "text": [
        "<matplotlib.text.Text at 0x1105b7990>"
       ]
      },
      {
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        "lnlNKeXLJG8l+S7J7SSnSV5K8lGt9Xqf2QAAABiOcd8B9sl8Pr91eHh4L8kLSV5N8m2WM+JfzOfz\n",
        "B31mAwAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA\n",
        "AAAAAAAAAAAAAAAAAAAAAAAAAPbFX/E57CYPUqnEAAAAAElFTkSuQmCC\n",
        "' width=497 height=330/>"
       ],
       "metadata": {},
       "output_type": "display_data",
       "text": [
        "<matplotlib.figure.Figure at 0x1108e1a90>"
       ]
      }
     ],
     "prompt_number": 16
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "We can also identify what are the most \"common\" jobs at KU (accoring to the FTE's) and their respective salaries: "
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "df[['Job', 'FTE', 'Salary']][df.FTE > 300]"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "html": [
        "<div style=\"max-height:1000px;max-width:1500px;overflow:auto;\">\n",
        "<table border=\"1\" class=\"dataframe\">\n",
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
        "      <th>Job</th>\n",
        "      <th>FTE</th>\n",
        "      <th>Salary</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>10 </th>\n",
        "      <td>                          Professor (Professor)</td>\n",
        "      <td>  443.4</td>\n",
        "      <td> 67.687</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>37 </th>\n",
        "      <td>                   Associate Professor (Lektor)</td>\n",
        "      <td> 1074.3</td>\n",
        "      <td> 50.328</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>76 </th>\n",
        "      <td>                       Legal Clerk (Fuldm\u00e6gtig)</td>\n",
        "      <td>  441.3</td>\n",
        "      <td> 40.977</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>82 </th>\n",
        "      <td>                         Post. Doc. (Post Doc.)</td>\n",
        "      <td>  916.5</td>\n",
        "      <td> 40.343</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>130</th>\n",
        "      <td> Scientific Assistant (Videnskabelig Assistent)</td>\n",
        "      <td>  315.0</td>\n",
        "      <td> 35.180</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>150</th>\n",
        "      <td>               Laboratory Technician (Laborant)</td>\n",
        "      <td>  332.4</td>\n",
        "      <td> 33.398</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>152</th>\n",
        "      <td>               Office Worker (Kontorfunktion\u00e6r)</td>\n",
        "      <td>  360.7</td>\n",
        "      <td> 33.165</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>155</th>\n",
        "      <td>               Ph.D. Student (Ph.D. Studerende)</td>\n",
        "      <td>  652.0</td>\n",
        "      <td> 32.857</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>170</th>\n",
        "      <td>               Ph.D. Stipend (Ph.D. Stipendiat)</td>\n",
        "      <td>  849.3</td>\n",
        "      <td> 30.729</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "<p>9 rows \u00d7 3 columns</p>\n",
        "</div>"
       ],
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 18,
       "text": [
        "                                                Job     FTE  Salary\n",
        "10                            Professor (Professor)   443.4  67.687\n",
        "37                     Associate Professor (Lektor)  1074.3  50.328\n",
        "76                         Legal Clerk (Fuldm\u00e6gtig)   441.3  40.977\n",
        "82                           Post. Doc. (Post Doc.)   916.5  40.343\n",
        "130  Scientific Assistant (Videnskabelig Assistent)   315.0  35.180\n",
        "150                Laboratory Technician (Laborant)   332.4  33.398\n",
        "152                Office Worker (Kontorfunktion\u00e6r)   360.7  33.165\n",
        "155                Ph.D. Student (Ph.D. Studerende)   652.0  32.857\n",
        "170                Ph.D. Stipend (Ph.D. Stipendiat)   849.3  30.729\n",
        "\n",
        "[9 rows x 3 columns]"
       ]
      }
     ],
     "prompt_number": 18
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Now it is quite clear that the peaks in the violin plots are due to the Associate profess0ors (50 328 DKK/month), the Post. Docs. (40.343 DKK/month) and the PhD students (about 33 000 DKK/month)"
     ]
    },
    {
     "cell_type": "markdown",
     "metadata": {},
     "source": [
      "Finally accoring to these numbers, the total of all salaries paid by KU seems to be about 360 millions DKK per month."
     ]
    },
    {
     "cell_type": "code",
     "collapsed": false,
     "input": [
      "sum(salaries) * 1000  # To have it directly in DKK"
     ],
     "language": "python",
     "metadata": {},
     "outputs": [
      {
       "metadata": {},
       "output_type": "pyout",
       "prompt_number": 19,
       "text": [
        "357587390.99999326"
       ]
      }
     ],
     "prompt_number": 19
    }
   ],
   "metadata": {}
  }
 ]
}