├── Guided Project- Customizing Data Visualizations ├── Basics.ipynb └── recent-grads.csv ├── Guided Project- Police killings ├── Basics.ipynb ├── police_killings.csv └── state_population.csv ├── Guided Project- Predicting the stock market ├── predict.py └── sphist.csv ├── Guided Project- Star Wars survey ├── Basics.ipynb └── star_wars.csv ├── Guided Project- Transforming data with Python ├── __pycache__ │ └── read.cpython-34.pyc ├── count.py ├── domains.py ├── hn_stories.csv ├── read.py ├── read.pyc └── times.py ├── Guided Project- Using Jupyter notebook ├── 2015_white_house.csv └── Basics.ipynb ├── Guided Project- Visualizing Pixar's Roller Coaster ├── Basics.ipynb └── PixarMovies.csv ├── Guided Project- Working with a SQLite database ├── area.py ├── factbook.db ├── growth.py └── query.py └── README.md /Guided Project- Customizing Data Visualizations/recent-grads.csv: -------------------------------------------------------------------------------- 1 | Rank,Major_code,Major,Total,Men,Women,Major_category,ShareWomen,Sample_size,Employed,Full_time,Part_time,Full_time_year_round,Unemployed,Unemployment_rate,Median,P25th,P75th,College_jobs,Non_college_jobs,Low_wage_jobs 2 | 1,2419,PETROLEUM ENGINEERING,2339,2057,282,Engineering,0.120564344,36,1976,1849,270,1207,37,0.018380527,110000,95000,125000,1534,364,193 3 | 2,2416,MINING AND MINERAL ENGINEERING,756,679,77,Engineering,0.101851852,7,640,556,170,388,85,0.117241379,75000,55000,90000,350,257,50 4 | 3,2415,METALLURGICAL ENGINEERING,856,725,131,Engineering,0.153037383,3,648,558,133,340,16,0.024096386,73000,50000,105000,456,176,0 5 | 4,2417,NAVAL ARCHITECTURE AND MARINE ENGINEERING,1258,1123,135,Engineering,0.107313196,16,758,1069,150,692,40,0.050125313,70000,43000,80000,529,102,0 6 | 5,2405,CHEMICAL ENGINEERING,32260,21239,11021,Engineering,0.341630502,289,25694,23170,5180,16697,1672,0.061097712,65000,50000,75000,18314,4440,972 7 | 6,2418,NUCLEAR ENGINEERING,2573,2200,373,Engineering,0.144966965,17,1857,2038,264,1449,400,0.177226407,65000,50000,102000,1142,657,244 8 | 7,6202,ACTUARIAL SCIENCE,3777,2110,1667,Business,0.441355573,51,2912,2924,296,2482,308,0.095652174,62000,53000,72000,1768,314,259 9 | 8,5001,ASTRONOMY AND ASTROPHYSICS,1792,832,960,Physical Sciences,0.535714286,10,1526,1085,553,827,33,0.021167415,62000,31500,109000,972,500,220 10 | 9,2414,MECHANICAL ENGINEERING,91227,80320,10907,Engineering,0.119558903,1029,76442,71298,13101,54639,4650,0.057342278,60000,48000,70000,52844,16384,3253 11 | 10,2408,ELECTRICAL ENGINEERING,81527,65511,16016,Engineering,0.196450256,631,61928,55450,12695,41413,3895,0.059173845,60000,45000,72000,45829,10874,3170 12 | 11,2407,COMPUTER ENGINEERING,41542,33258,8284,Engineering,0.199412643,399,32506,30315,5146,23621,2275,0.065409275,60000,45000,75000,23694,5721,980 13 | 12,2401,AEROSPACE ENGINEERING,15058,12953,2105,Engineering,0.139792801,147,11391,11106,2724,8790,794,0.065162085,60000,42000,70000,8184,2425,372 14 | 13,2404,BIOMEDICAL ENGINEERING,14955,8407,6548,Engineering,0.437846874,79,10047,9017,2694,5986,1019,0.09208386,60000,36000,70000,6439,2471,789 15 | 14,5008,MATERIALS SCIENCE,4279,2949,1330,Engineering,0.310820285,22,3307,2751,878,1967,78,0.023042836,60000,39000,65000,2626,391,81 16 | 15,2409,ENGINEERING MECHANICS PHYSICS AND SCIENCE,4321,3526,795,Engineering,0.183985189,30,3608,2999,811,2004,23,0.006334343,58000,25000,74000,2439,947,263 17 | 16,2402,BIOLOGICAL ENGINEERING,8925,6062,2863,Engineering,0.320784314,55,6170,5455,1983,3413,589,0.087143069,57100,40000,76000,3603,1595,524 18 | 17,2412,INDUSTRIAL AND MANUFACTURING ENGINEERING,18968,12453,6515,Engineering,0.343473218,183,15604,14879,2243,11326,699,0.042875544,57000,37900,67000,8306,3235,640 19 | 18,2400,GENERAL ENGINEERING,61152,45683,15469,Engineering,0.252959838,425,44931,41235,7199,33540,2859,0.059824231,56000,36000,69000,26898,11734,3192 20 | 19,2403,ARCHITECTURAL ENGINEERING,2825,1835,990,Engineering,0.350442478,26,2575,2277,343,1848,170,0.061930783,54000,38000,65000,1665,649,137 21 | 20,3201,COURT REPORTING,1148,877,271,Law & Public Policy,0.236062718,14,930,808,223,808,11,0.011689692,54000,50000,54000,402,528,144 22 | 21,2102,COMPUTER SCIENCE,128319,99743,28576,Computers & Mathematics,0.222695002,1196,102087,91485,18726,70932,6884,0.063172771,53000,39000,70000,68622,25667,5144 23 | 22,1104,FOOD SCIENCE,,,,Agriculture & Natural Resources,,36,3149,2558,1121,1735,338,0.09693146,53000,32000,70000,1183,1274,485 24 | 23,2502,ELECTRICAL ENGINEERING TECHNOLOGY,11565,8181,3384,Engineering,0.292607004,97,8587,7530,1873,5681,824,0.087557114,52000,35000,60000,5126,2686,696 25 | 24,2413,MATERIALS ENGINEERING AND MATERIALS SCIENCE,2993,2020,973,Engineering,0.325091881,22,2449,1658,1040,1151,70,0.027788805,52000,35000,62000,1911,305,70 26 | 25,6212,MANAGEMENT INFORMATION SYSTEMS AND STATISTICS,18713,13496,5217,Business,0.278790146,278,16413,15141,2420,13017,1015,0.058239614,51000,38000,60000,6342,5741,708 27 | 26,2406,CIVIL ENGINEERING,53153,41081,12072,Engineering,0.227117943,565,43041,38302,10080,29196,3270,0.070609574,50000,40000,60000,28526,9356,2899 28 | 27,5601,CONSTRUCTION SERVICES,18498,16820,1678,Industrial Arts & Consumer Services,0.090712509,295,16318,15690,1751,12313,1042,0.060023041,50000,36000,60000,3275,5351,703 29 | 28,6204,OPERATIONS LOGISTICS AND E-COMMERCE,11732,7921,3811,Business,0.32483805,156,10027,9639,1183,7724,504,0.047858703,50000,40000,60000,1466,3629,285 30 | 29,2499,MISCELLANEOUS ENGINEERING,9133,7398,1735,Engineering,0.189970437,118,7428,6811,1662,5476,597,0.074392523,50000,39000,65000,3445,2426,365 31 | 30,5402,PUBLIC POLICY,5978,2639,3339,Law & Public Policy,0.558548009,55,4547,4163,1306,2776,670,0.128426299,50000,35000,70000,1550,1871,340 32 | 31,2410,ENVIRONMENTAL ENGINEERING,4047,2662,1385,Engineering,0.342228811,26,2983,2384,930,1951,308,0.093588575,50000,42000,56000,2028,830,260 33 | 32,2500,ENGINEERING TECHNOLOGIES,3600,2695,905,Engineering,0.251388889,39,2799,2257,689,1723,163,0.055030385,50000,43000,60000,1017,1269,142 34 | 33,6099,MISCELLANEOUS FINE ARTS,3340,1970,1370,Arts,0.410179641,30,2914,2049,1067,1200,286,0.089375,50000,25000,66000,693,1714,755 35 | 34,2411,GEOLOGICAL AND GEOPHYSICAL ENGINEERING,720,488,232,Engineering,0.322222222,5,604,524,126,396,49,0.075038285,50000,42800,57000,501,50,49 36 | 35,6107,NURSING,209394,21773,187621,Health,0.896018988,2554,180903,151191,40818,122817,8497,0.044862724,48000,39000,58000,151643,26146,6193 37 | 36,6207,FINANCE,174506,115030,59476,Business,0.340824957,2189,145696,137921,21463,108595,9413,0.060686356,47000,35000,64000,24243,48447,9910 38 | 37,5501,ECONOMICS,139247,89749,49498,Social Science,0.355469059,1322,104117,96567,25325,70740,11452,0.099092317,47000,35000,65000,25582,37057,10653 39 | 38,6205,BUSINESS ECONOMICS,13302,7575,5727,Business,0.430536761,199,10914,10048,1937,8000,1165,0.096448381,46000,33000,58000,1578,4612,1284 40 | 39,2503,INDUSTRIAL PRODUCTION TECHNOLOGIES,4631,3477,1154,Engineering,0.24919024,73,4428,3988,597,3242,129,0.028308097,46000,35000,65000,1394,2454,480 41 | 40,5102,"NUCLEAR, INDUSTRIAL RADIOLOGY, AND BIOLOGICAL TECHNOLOGIES",2116,528,1588,Physical Sciences,0.75047259,31,1778,1392,579,1115,137,0.07154047,46000,38000,53000,162,1475,124 42 | 41,6201,ACCOUNTING,198633,94519,104114,Business,0.524152583,2042,165527,151967,27693,123169,12411,0.069749014,45000,34000,56000,11417,39323,10886 43 | 42,3700,MATHEMATICS,72397,39956,32441,Computers & Mathematics,0.448098678,541,58118,46399,18079,33738,2884,0.047277138,45000,33000,60000,34800,14829,4569 44 | 43,2100,COMPUTER AND INFORMATION SYSTEMS,36698,27392,9306,Computers & Mathematics,0.253583302,425,28459,26348,4332,21130,2934,0.093460326,45000,30000,60000,13344,11783,1672 45 | 44,5007,PHYSICS,32142,23080,9062,Physical Sciences,0.281936407,142,25302,19428,8721,14389,1282,0.048224496,45000,30000,68000,18674,4576,1823 46 | 45,6105,MEDICAL TECHNOLOGIES TECHNICIANS,15914,3916,11998,Health,0.75392736,190,13150,11510,2665,9005,505,0.03698279,45000,36000,50000,5546,7176,1002 47 | 46,2105,INFORMATION SCIENCES,11913,9005,2908,Computers & Mathematics,0.244103081,158,9881,9105,1468,7378,639,0.060741445,45000,32500,58000,4390,4102,608 48 | 47,3702,STATISTICS AND DECISION SCIENCE,6251,2960,3291,Computers & Mathematics,0.526475764,37,4247,3190,1840,2151,401,0.086273666,45000,26700,60000,2298,1200,343 49 | 48,3701,APPLIED MATHEMATICS,4939,2794,2145,Computers & Mathematics,0.434298441,45,3854,3465,1176,2593,385,0.090823307,45000,34000,63000,2437,803,357 50 | 49,3607,PHARMACOLOGY,1762,515,1247,Biology & Life Science,0.707718502,3,1144,657,532,565,107,0.085531575,45000,40000,45000,603,478,93 51 | 50,5006,OCEANOGRAPHY,2418,752,1666,Physical Sciences,0.688999173,36,1638,1931,379,1595,99,0.056994819,44700,23000,50000,459,996,186 52 | 51,2501,ENGINEERING AND INDUSTRIAL MANAGEMENT,2906,2400,506,Engineering,0.174122505,29,2125,1992,462,1358,74,0.03365166,44000,30000,50000,482,844,245 53 | 52,6104,MEDICAL ASSISTING SERVICES,11123,803,10320,Health,0.927807246,67,9168,5643,4107,4290,407,0.042506527,42000,30000,65000,2091,6948,1270 54 | 53,4005,MATHEMATICS AND COMPUTER SCIENCE,609,500,109,Computers & Mathematics,0.178981938,7,559,584,0,391,0,0,42000,30000,78000,452,67,25 55 | 54,2101,COMPUTER PROGRAMMING AND DATA PROCESSING,4168,3046,1122,Computers & Mathematics,0.269193858,43,3257,3204,482,2453,419,0.11398259,41300,20000,46000,2024,1033,263 56 | 55,4006,COGNITIVE SCIENCE AND BIOPSYCHOLOGY,3831,1667,2164,Biology & Life Science,0.56486557,25,2741,2470,711,1584,223,0.075236167,41000,20000,60000,1369,921,135 57 | 56,2303,SCHOOL STUDENT COUNSELING,818,119,699,Education,0.854523227,4,730,595,135,545,88,0.107579462,41000,41000,43000,509,221,0 58 | 57,5505,INTERNATIONAL RELATIONS,28187,10345,17842,Social Science,0.632986838,219,21190,18681,5563,13583,2271,0.096798943,40100,31200,53000,6774,9570,2499 59 | 58,6200,GENERAL BUSINESS,234590,132238,102352,Business,0.436301633,2380,190183,171385,36241,138299,14946,0.072861468,40000,30000,55000,29334,100831,27320 60 | 59,1401,ARCHITECTURE,46420,25463,20957,Engineering,0.451464886,362,34158,29223,10206,20026,4366,0.113331949,40000,31000,50000,16178,13724,4221 61 | 60,6210,INTERNATIONAL BUSINESS,25894,10624,15270,Business,0.589711902,260,19660,17563,4890,12823,2092,0.096175064,40000,30000,50000,3383,9482,3046 62 | 61,6108,PHARMACY PHARMACEUTICAL SCIENCES AND ADMINISTRATION,23551,8697,14854,Health,0.630716318,38,16620,12537,5346,9131,977,0.055520827,40000,20000,90000,11573,4493,1121 63 | 62,3603,MOLECULAR BIOLOGY,18300,7426,10874,Biology & Life Science,0.59420765,90,11581,9441,4590,6183,1067,0.084361164,40000,29000,47000,7225,3145,1168 64 | 63,6299,MISCELLANEOUS BUSINESS & MEDICAL ADMINISTRATION,17947,10285,7662,Business,0.42692372,244,14826,13364,3366,10637,1150,0.071982974,40000,30000,51000,2236,8937,1758 65 | 64,1101,AGRICULTURE PRODUCTION AND MANAGEMENT,14240,9658,4582,Agriculture & Natural Resources,0.321769663,273,12323,11119,2196,9093,649,0.050030836,40000,25000,50000,1925,6221,1362 66 | 65,1100,GENERAL AGRICULTURE,10399,6053,4346,Agriculture & Natural Resources,0.4179248,158,8884,7589,2031,5888,178,0.019642463,40000,30000,50000,2418,4717,839 67 | 66,2599,MISCELLANEOUS ENGINEERING TECHNOLOGIES,8804,7043,1761,Engineering,0.200022717,125,7502,7001,1240,5825,416,0.05253852,40000,30400,56000,2446,3896,386 68 | 67,2504,MECHANICAL ENGINEERING RELATED TECHNOLOGIES,4790,4419,371,Engineering,0.077453027,71,4186,4175,247,3607,250,0.056357078,40000,27000,52000,1861,2121,406 69 | 68,3605,GENETICS,3635,1761,1874,Biology & Life Science,0.515543329,11,2463,1787,847,1487,87,0.034117647,40000,34000,45000,1675,678,201 70 | 69,5599,MISCELLANEOUS SOCIAL SCIENCES,3283,1499,1784,Social Science,0.543405422,28,2727,2183,907,1530,215,0.073079538,40000,30000,54000,744,1654,573 71 | 70,6403,UNITED STATES HISTORY,3079,1756,1323,Humanities & Liberal Arts,0.429684963,22,2787,2103,839,1274,138,0.047179487,40000,30000,42000,801,1591,302 72 | 71,5205,INDUSTRIAL AND ORGANIZATIONAL PSYCHOLOGY,3014,1075,1939,Psychology & Social Work,0.643331121,24,2343,1644,1095,1409,286,0.108786611,40000,32000,53000,559,1224,272 73 | 72,1102,AGRICULTURAL ECONOMICS,2439,1749,690,Agriculture & Natural Resources,0.282902829,44,2174,1819,620,1528,182,0.077249576,40000,27000,54000,535,893,94 74 | 73,5000,PHYSICAL SCIENCES,1436,894,542,Physical Sciences,0.377437326,10,1146,768,437,653,42,0.035353535,40000,30000,55000,530,465,269 75 | 74,3801,MILITARY TECHNOLOGIES,124,124,0,Industrial Arts & Consumer Services,0,4,0,111,0,111,0,0,40000,40000,40000,0,0,0 76 | 75,5003,CHEMISTRY,66530,32923,33607,Physical Sciences,0.505140538,353,48535,39509,15066,29910,2769,0.0539724,39000,30000,49900,30382,14718,4288 77 | 76,5701,"ELECTRICAL, MECHANICAL, AND PRECISION TECHNOLOGIES AND PRODUCTION",2435,1869,566,Industrial Arts & Consumer Services,0.232443532,37,2107,2057,287,1752,64,0.029479503,38400,22500,45000,221,1659,81 78 | 77,6203,BUSINESS MANAGEMENT AND ADMINISTRATION,329927,173809,156118,Business,0.473189524,4212,276234,251540,50357,199897,21502,0.072218341,38000,29000,50000,36720,148395,32395 79 | 78,6206,MARKETING AND MARKETING RESEARCH,205211,78857,126354,Business,0.615727227,2684,178862,156668,35829,127230,11663,0.061215064,38000,30000,50000,25320,93889,27968 80 | 79,5506,POLITICAL SCIENCE AND GOVERNMENT,182621,93880,88741,Social Science,0.485929877,1387,133454,117709,43711,83236,15022,0.101174601,38000,28000,50000,36854,66947,19803 81 | 80,5504,GEOGRAPHY,18480,11404,7076,Social Science,0.382900433,179,14057,11367,5651,8628,1799,0.113458628,38000,30000,50000,5350,6830,1905 82 | 81,3606,MICROBIOLOGY,15232,6383,8849,Biology & Life Science,0.580948004,62,9685,7453,3379,5080,693,0.066775872,38000,29600,50000,5577,3174,1246 83 | 82,2106,COMPUTER ADMINISTRATION MANAGEMENT AND SECURITY,8066,6607,1459,Computers & Mathematics,0.180882718,103,6509,6289,1030,4936,721,0.099723375,37500,25000,50000,2354,3244,308 84 | 83,3601,BIOCHEMICAL SCIENCES,39107,18951,20156,Biology & Life Science,0.515406449,174,25678,20643,9948,13785,2249,0.080531385,37400,29000,50000,15654,8394,3012 85 | 84,3602,BOTANY,1329,626,703,Biology & Life Science,0.52896915,9,1010,946,169,740,0,0,37000,26000,40000,677,184,56 86 | 85,2107,COMPUTER NETWORKING AND TELECOMMUNICATIONS,7613,5291,2322,Computers & Mathematics,0.305004597,97,6144,5495,1447,4369,1100,0.151849807,36400,27000,49000,2593,2941,352 87 | 86,5004,GEOLOGY AND EARTH SCIENCE,10972,5813,5159,Physical Sciences,0.470196865,78,8296,6966,2913,5008,677,0.075448568,36200,28000,47000,4858,2792,959 88 | 87,6209,HUMAN RESOURCES AND PERSONNEL MANAGEMENT,24497,6184,18313,Business,0.747560926,264,20760,18550,3767,15446,1315,0.059569649,36000,28000,45000,2406,9629,1906 89 | 88,3202,PRE-LAW AND LEGAL STUDIES,13528,4435,9093,Law & Public Policy,0.672161443,92,9762,7851,3595,5370,757,0.071965016,36000,29200,46000,2002,6454,1336 90 | 89,6199,MISCELLANEOUS HEALTH MEDICAL PROFESSIONS,13386,1589,11797,Health,0.881293889,81,10076,7514,4145,5868,893,0.08141125,36000,23000,42000,5652,3835,1422 91 | 90,5401,PUBLIC ADMINISTRATION,5629,2947,2682,Law & Public Policy,0.476461183,46,4158,4148,847,2952,789,0.1594906,36000,23000,60000,919,2313,496 92 | 91,5005,GEOSCIENCES,1978,809,1169,Physical Sciences,0.591001011,18,1441,1264,354,1011,36,0.024373731,36000,21000,41000,784,591,221 93 | 92,5206,SOCIAL PSYCHOLOGY,1386,413,973,Psychology & Social Work,0.702020202,8,1080,828,433,529,33,0.029649596,36000,34000,45000,434,593,37 94 | 93,1301,ENVIRONMENTAL SCIENCE,25965,10787,15178,Biology & Life Science,0.584556133,225,20859,16987,7071,10916,1779,0.078584681,35600,25000,40200,8149,10076,3175 95 | 94,1901,COMMUNICATIONS,213996,70619,143377,Communications & Journalism,0.669998505,2394,179633,147335,49889,116251,14602,0.075176976,35000,27000,45000,40763,97964,27440 96 | 95,5301,CRIMINAL JUSTICE AND FIRE PROTECTION,152824,80231,72593,Law & Public Policy,0.47501047,1728,125393,109970,32242,88548,11268,0.082452199,35000,26000,45000,24348,88858,18404 97 | 96,6004,COMMERCIAL ART AND GRAPHIC DESIGN,103480,32041,71439,Arts,0.690365288,1186,83483,67448,24387,52243,8947,0.096797577,35000,25000,45000,37389,38119,14839 98 | 97,1902,JOURNALISM,72619,23736,48883,Communications & Journalism,0.673143392,843,61022,51411,15902,39524,4535,0.069176442,35000,26000,42900,23279,26672,8512 99 | 98,5098,MULTI-DISCIPLINARY OR GENERAL SCIENCE,62052,27015,35037,Physical Sciences,0.564639335,427,46138,37850,13133,28966,2727,0.055806815,35000,24000,50000,17923,22039,5751 100 | 99,1904,ADVERTISING AND PUBLIC RELATIONS,53162,12862,40300,Communications & Journalism,0.758060269,681,45326,38815,10948,30932,3305,0.067960766,35000,27000,47000,9659,23059,7214 101 | 100,1501,AREA ETHNIC AND CIVILIZATION STUDIES,31195,8739,22456,Humanities & Liberal Arts,0.719858952,249,24629,18755,9541,13109,1668,0.063429289,35000,24500,44000,8465,11818,3677 102 | 101,2310,SPECIAL NEEDS EDUCATION,28739,2682,26057,Education,0.906677337,246,24639,21584,5153,16642,1067,0.041507819,35000,32000,42000,20185,3797,1179 103 | 102,3608,PHYSIOLOGY,22060,8422,13638,Biology & Life Science,0.618223028,99,14643,10732,6541,7588,1088,0.0691628,35000,20000,50000,6587,6894,2237 104 | 103,5503,CRIMINOLOGY,19879,10031,9848,Social Science,0.495397153,214,16181,13616,4543,10548,1743,0.097243919,35000,25000,45000,3373,10605,1895 105 | 104,4002,NUTRITION SCIENCES,18909,2563,16346,Health,0.864456079,118,13217,9601,6648,6625,975,0.068700676,35000,26000,45000,6535,5473,2449 106 | 105,6103,HEALTH AND MEDICAL ADMINISTRATIVE SERVICES,18109,4266,13843,Health,0.764426528,184,15419,13534,3299,10982,1518,0.089626262,35000,27000,42000,2589,8592,1391 107 | 106,2001,COMMUNICATION TECHNOLOGIES,18035,11431,6604,Computers & Mathematics,0.366176878,208,14779,11981,4690,9085,2006,0.119511469,35000,25000,45000,4545,8794,2495 108 | 107,5901,TRANSPORTATION SCIENCES AND TECHNOLOGIES,15150,13257,1893,Industrial Arts & Consumer Services,0.124950495,180,12266,11688,2633,9170,962,0.072724524,35000,22000,52000,4575,6147,557 109 | 108,1303,NATURAL RESOURCES MANAGEMENT,13773,8617,5156,Agriculture & Natural Resources,0.374355623,152,11797,10722,2613,6954,842,0.066619195,35000,25000,42000,4333,5808,1405 110 | 109,3611,NEUROSCIENCE,13663,4944,8719,Biology & Life Science,0.63814682,53,9087,8027,3078,5482,463,0.048481675,35000,30000,44000,5605,2301,902 111 | 110,4000,MULTI/INTERDISCIPLINARY STUDIES,12296,2817,9479,Interdisciplinary,0.770901106,128,9821,8032,3173,6234,749,0.070860927,35000,25000,44000,5176,3903,1061 112 | 111,5002,ATMOSPHERIC SCIENCES AND METEOROLOGY,4043,2744,1299,Physical Sciences,0.321296067,32,3431,2659,1309,2161,78,0.022228555,35000,28000,50000,1808,1317,237 113 | 112,1302,FORESTRY,3607,3156,451,Agriculture & Natural Resources,0.125034655,48,3007,2473,891,1763,322,0.096725743,35000,28600,48000,1096,1692,327 114 | 113,1106,SOIL SCIENCE,685,476,209,Agriculture & Natural Resources,0.305109489,4,613,488,185,383,0,0,35000,18500,44000,355,144,0 115 | 114,2300,GENERAL EDUCATION,143718,26893,116825,Education,0.812876606,919,118241,98408,29558,73531,7195,0.057359929,34000,26000,41000,82007,31112,11443 116 | 115,6402,HISTORY,141951,78253,63698,Humanities & Liberal Arts,0.448732309,1058,105646,84681,40657,59218,11176,0.095666912,34000,25000,47000,35336,54569,16839 117 | 116,2602,FRENCH GERMAN LATIN AND OTHER COMMON FOREIGN LANGUAGE STUDIES,48246,12835,35411,Humanities & Liberal Arts,0.733967583,342,38315,29340,14569,20056,3132,0.075566386,34000,25000,45000,15051,18193,5267 118 | 117,4001,INTERCULTURAL AND INTERNATIONAL STUDIES,24650,8575,16075,Humanities & Liberal Arts,0.652129817,184,18824,14354,7978,8801,1718,0.083633531,34000,24000,45000,4956,10343,3168 119 | 118,2311,SOCIAL SCIENCE OR HISTORY TEACHER EDUCATION,20198,9950,10248,Education,0.507376968,157,17700,14002,5168,8871,1012,0.054082941,34000,23050,42000,10928,5561,1806 120 | 119,6110,COMMUNITY AND PUBLIC HEALTH,19735,4103,15632,Health,0.792095262,130,14512,10099,6377,7460,1833,0.112144387,34000,21000,45000,5225,7385,1854 121 | 120,2305,MATHEMATICS TEACHER EDUCATION,14237,3872,10365,Education,0.728032591,123,13115,11259,2273,8073,216,0.016202835,34000,30000,40000,10699,1977,786 122 | 121,2301,EDUCATIONAL ADMINISTRATION AND SUPERVISION,804,280,524,Education,0.651741294,5,703,733,0,504,0,0,34000,29000,35000,346,206,111 123 | 122,6106,HEALTH AND MEDICAL PREPARATORY PROGRAMS,12740,5521,7219,Health,0.566640502,31,7052,5029,3891,3236,529,0.069779712,33500,23000,40000,3051,3539,1159 124 | 123,3699,MISCELLANEOUS BIOLOGY,10706,4747,5959,Biology & Life Science,0.556603774,63,7767,6076,2568,4542,483,0.058545455,33500,23000,48000,4253,2722,459 125 | 124,3600,BIOLOGY,280709,111762,168947,Biology & Life Science,0.601858152,1370,182295,144512,72371,100336,13874,0.070724732,33400,24000,45000,88232,81109,28339 126 | 125,5507,SOCIOLOGY,115433,32510,82923,Social Science,0.718364766,1024,92721,73475,29639,56561,8608,0.084951001,33000,25000,44000,29051,48899,13748 127 | 126,1903,MASS MEDIA,52824,24704,28120,Communications & Journalism,0.532333788,590,44679,35769,13078,27521,4410,0.089836827,33000,25000,45000,12855,25297,6429 128 | 127,6109,TREATMENT THERAPY PROFESSIONS,48491,13487,35004,Health,0.721865913,224,37861,30020,12346,21735,2409,0.059821207,33000,24000,41000,22215,14616,4468 129 | 128,6211,HOSPITALITY MANAGEMENT,43647,15204,28443,Business,0.651659908,546,36728,32160,7494,23106,2393,0.061169193,33000,25000,42000,2325,23341,9063 130 | 129,2313,LANGUAGE AND DRAMA EDUCATION,30471,3741,26730,Education,0.877227528,235,26033,21419,7239,15266,1379,0.050306435,33000,24000,40000,17985,6824,2819 131 | 130,2601,LINGUISTICS AND COMPARATIVE LANGUAGE AND LITERATURE,16601,4416,12185,Humanities & Liberal Arts,0.733991928,88,11165,8462,4831,5821,1302,0.10443571,33000,25000,40000,4122,5695,2085 132 | 131,2399,MISCELLANEOUS EDUCATION,10150,3654,6496,Education,0.64,126,8691,7264,2202,5816,547,0.059211951,33000,30000,45000,5284,2438,657 133 | 132,4007,INTERDISCIPLINARY SOCIAL SCIENCES,9916,2337,7579,Social Science,0.76432029,95,7444,5843,2834,4714,757,0.092305816,33000,24000,40000,2630,3906,1470 134 | 133,3604,ECOLOGY,9154,3878,5276,Biology & Life Science,0.576360061,86,7585,5603,2741,3912,437,0.054475193,33000,23000,42000,2856,4159,976 135 | 134,2309,SECONDARY TEACHER EDUCATION,17125,6820,10305,Education,0.601751825,156,15116,12520,3782,9193,833,0.05222898,32500,25000,38000,10304,3967,1385 136 | 135,6100,GENERAL MEDICAL AND HEALTH SERVICES,33599,7574,26025,Health,0.774576624,202,24406,18166,11088,12809,2183,0.082101621,32400,25000,45000,9364,12889,3816 137 | 136,4801,PHILOSOPHY AND RELIGIOUS STUDIES,54814,31967,22847,Humanities & Liberal Arts,0.416809574,375,40157,31086,16659,21816,4267,0.096051684,32200,23000,47100,14444,20313,8051 138 | 137,2314,ART AND MUSIC EDUCATION,34181,10732,23449,Education,0.6860244,338,30007,23018,9209,16537,1206,0.038637747,32100,25000,40000,20821,8260,2767 139 | 138,3301,ENGLISH LANGUAGE AND LITERATURE,194673,58227,136446,Humanities & Liberal Arts,0.70089843,1436,149180,114386,57825,81180,14345,0.08772359,32000,23000,41000,57690,71827,26503 140 | 139,2304,ELEMENTARY EDUCATION,170862,13029,157833,Education,0.923745479,1629,149339,123177,37965,86540,7297,0.046585715,32000,23400,38000,108085,36972,11502 141 | 140,4101,PHYSICAL FITNESS PARKS RECREATION AND LEISURE,125074,62181,62893,Industrial Arts & Consumer Services,0.502846315,1014,103078,77428,38515,57978,5593,0.051467273,32000,24000,43000,27581,63946,16838 142 | 141,3401,LIBERAL ARTS,71369,22339,49030,Humanities & Liberal Arts,0.686992952,569,54844,43401,19187,33438,4657,0.078267592,32000,25000,42000,18565,28558,9030 143 | 142,6005,FILM VIDEO AND PHOTOGRAPHIC ARTS,38761,22357,16404,Arts,0.423208896,331,31433,22457,12818,15740,3718,0.10577224,32000,22000,42000,7368,20721,5862 144 | 143,5500,GENERAL SOCIAL SCIENCES,12920,5079,7841,Social Science,0.606888545,113,9602,7700,3396,5679,1108,0.103454715,32000,27000,50000,3602,4778,1634 145 | 144,1105,PLANT SCIENCE AND AGRONOMY,7416,4897,2519,Agriculture & Natural Resources,0.339670982,110,6594,5798,1246,4522,314,0.045454545,32000,22900,40000,2089,3545,1231 146 | 145,2308,SCIENCE AND COMPUTER TEACHER EDUCATION,6483,2049,4434,Education,0.683942619,59,5362,4764,1227,3247,266,0.047263682,32000,28000,39000,4214,1106,591 147 | 146,5200,PSYCHOLOGY,393735,86648,307087,Psychology & Social Work,0.779933204,2584,307933,233205,115172,174438,28169,0.083810867,31500,24000,41000,125148,141860,48207 148 | 147,6002,MUSIC,60633,29909,30724,Arts,0.506720763,419,47662,29010,24943,21425,3918,0.075959674,31000,22300,42000,13752,28786,9286 149 | 148,2306,PHYSICAL AND HEALTH EDUCATION TEACHING,28213,15670,12543,Education,0.444582285,259,23794,19420,7230,13651,1920,0.074667496,31000,24000,40000,12777,9328,2042 150 | 149,6006,ART HISTORY AND CRITICISM,21030,3240,17790,Humanities & Liberal Arts,0.845934379,204,17579,13262,6140,9965,1128,0.060298284,31000,23000,40000,5139,9738,3426 151 | 150,6000,FINE ARTS,74440,24786,49654,Arts,0.667033853,623,59679,42764,23656,31877,5486,0.084186296,30500,21000,41000,20792,32725,11880 152 | 151,2901,FAMILY AND CONSUMER SCIENCES,58001,5166,52835,Industrial Arts & Consumer Services,0.91093257,518,46624,36747,15872,26906,3355,0.067128194,30000,22900,40000,20985,20133,5248 153 | 152,5404,SOCIAL WORK,53552,5137,48415,Psychology & Social Work,0.904074544,374,45038,34941,13481,27588,3329,0.06882792,30000,25000,35000,27449,14416,4344 154 | 153,1103,ANIMAL SCIENCES,21573,5347,16226,Agriculture & Natural Resources,0.752143884,255,17112,14479,5353,10824,917,0.050862499,30000,22000,40000,5443,9571,2125 155 | 154,6003,VISUAL AND PERFORMING ARTS,16250,4133,12117,Arts,0.745661538,132,12870,8447,6253,6322,1465,0.102197419,30000,22000,40000,3849,7635,2840 156 | 155,2312,TEACHER EDUCATION: MULTIPLE LEVELS,14443,2734,11709,Education,0.810704147,142,13076,11734,2214,8457,496,0.03654583,30000,24000,37000,10766,1949,722 157 | 156,5299,MISCELLANEOUS PSYCHOLOGY,9628,1936,7692,Psychology & Social Work,0.798919817,60,7653,5201,3221,3838,419,0.05190783,30000,20800,40000,2960,3948,1650 158 | 157,5403,HUMAN SERVICES AND COMMUNITY ORGANIZATION,9374,885,8489,Psychology & Social Work,0.90558993,89,8294,6455,2405,5061,326,0.037819026,30000,24000,35000,2878,4595,724 159 | 158,3402,HUMANITIES,6652,2013,4639,Humanities & Liberal Arts,0.697384245,49,5052,3565,2225,2661,372,0.068584071,30000,20000,49000,1168,3354,1141 160 | 159,4901,THEOLOGY AND RELIGIOUS VOCATIONS,30207,18616,11591,Humanities & Liberal Arts,0.383719006,310,24202,18079,8767,13944,1617,0.062628297,29000,22000,38000,9927,12037,3304 161 | 160,6007,STUDIO ARTS,16977,4754,12223,Arts,0.719974083,182,13908,10451,5673,7413,1368,0.089552239,29000,19200,38300,3948,8707,3586 162 | 161,2201,COSMETOLOGY SERVICES AND CULINARY ARTS,10510,4364,6146,Industrial Arts & Consumer Services,0.584776403,117,8650,7662,2064,5949,510,0.055676856,29000,20000,36000,563,7384,3163 163 | 162,1199,MISCELLANEOUS AGRICULTURE,1488,404,1084,Agriculture & Natural Resources,0.728494624,24,1290,1098,335,936,82,0.059766764,29000,23000,42100,483,626,31 164 | 163,5502,ANTHROPOLOGY AND ARCHEOLOGY,38844,11376,27468,Humanities & Liberal Arts,0.707136237,247,29633,20147,14515,13232,3395,0.102791571,28000,20000,38000,9805,16693,6866 165 | 164,6102,COMMUNICATION DISORDERS SCIENCES AND SERVICES,38279,1225,37054,Health,0.967998119,95,29763,19975,13862,14460,1487,0.047584,28000,20000,40000,19957,9404,5125 166 | 165,2307,EARLY CHILDHOOD EDUCATION,37589,1167,36422,Education,0.968953683,342,32551,27569,7001,20748,1360,0.040104981,28000,21000,35000,23515,7705,2868 167 | 166,2603,OTHER FOREIGN LANGUAGES,11204,3472,7732,Humanities & Liberal Arts,0.690110675,56,7052,5197,3685,3214,846,0.107115726,27500,22900,38000,2326,3703,1115 168 | 167,6001,DRAMA AND THEATER ARTS,43249,14440,28809,Arts,0.666119448,357,36165,25147,15994,16891,3040,0.07754113,27000,19200,35000,6994,25313,11068 169 | 168,3302,COMPOSITION AND RHETORIC,18953,7022,11931,Humanities & Liberal Arts,0.629504564,151,15053,10121,6612,7832,1340,0.081742207,27000,20000,35000,4855,8100,3466 170 | 169,3609,ZOOLOGY,8409,3050,5359,Biology & Life Science,0.637293376,47,6259,5043,2190,3602,304,0.04632028,26000,20000,39000,2771,2947,743 171 | 170,5201,EDUCATIONAL PSYCHOLOGY,2854,522,2332,Psychology & Social Work,0.817098809,7,2125,1848,572,1211,148,0.065112187,25000,24000,34000,1488,615,82 172 | 171,5202,CLINICAL PSYCHOLOGY,2838,568,2270,Psychology & Social Work,0.799859056,13,2101,1724,648,1293,368,0.149048198,25000,25000,40000,986,870,622 173 | 172,5203,COUNSELING PSYCHOLOGY,4626,931,3695,Psychology & Social Work,0.798746217,21,3777,3154,965,2738,214,0.053620646,23400,19200,26000,2403,1245,308 174 | 173,3501,LIBRARY SCIENCE,1098,134,964,Education,0.877959927,2,742,593,237,410,87,0.104945718,22000,20000,22000,288,338,192 175 | -------------------------------------------------------------------------------- /Guided Project- Police killings/Basics.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "metadata": { 7 | "collapsed": false 8 | }, 9 | "outputs": [], 10 | "source": [ 11 | "import pandas as pd\n", 12 | "police_killings = pd.read_csv(\"police_killings.csv\", encoding=\"ISO_8859_1\")" 13 | ] 14 | }, 15 | { 16 | "cell_type": "code", 17 | "execution_count": 2, 18 | "metadata": { 19 | "collapsed": false 20 | }, 21 | "outputs": [ 22 | { 23 | "data": { 24 | "text/html": [ 25 | "
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nameagegenderraceethnicitymonthdayyearstreetaddresscitystate...share_hispanicp_incomeh_incomecounty_incomecomp_incomecounty_bucketnat_bucketpovuratecollege
0 A'donte Washington 16 Male Black February 23 2015 Clearview Ln Millbrook AL... 5.6 28375 51367 54766 0.937936 3 3 14.1 0.097686 0.168510
1 Aaron Rutledge 27 Male White April 2 2015 300 block Iris Park Dr Pineville LA... 0.5 14678 27972 40930 0.683411 2 1 28.8 0.065724 0.111402
2 Aaron Siler 26 Male White March 14 2015 22nd Ave and 56th St Kenosha WI... 16.8 25286 45365 54930 0.825869 2 3 14.6 0.166293 0.147312
3 Aaron Valdez 25 Male Hispanic/Latino March 11 2015 3000 Seminole Ave South Gate CA... 98.8 17194 48295 55909 0.863814 3 3 11.7 0.124827 0.050133
4 Adam Jovicic 29 Male White March 19 2015 364 Hiwood Ave Munroe Falls OH... 1.7 33954 68785 49669 1.384868 5 4 1.9 0.063550 0.403954
\n", 176 | "

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\n", 177 | "
" 178 | ], 179 | "text/plain": [ 180 | " name age gender raceethnicity month day year \\\n", 181 | "0 A'donte Washington 16 Male Black February 23 2015 \n", 182 | "1 Aaron Rutledge 27 Male White April 2 2015 \n", 183 | "2 Aaron Siler 26 Male White March 14 2015 \n", 184 | "3 Aaron Valdez 25 Male Hispanic/Latino March 11 2015 \n", 185 | "4 Adam Jovicic 29 Male White March 19 2015 \n", 186 | "\n", 187 | " streetaddress city state ... share_hispanic \\\n", 188 | "0 Clearview Ln Millbrook AL ... 5.6 \n", 189 | "1 300 block Iris Park Dr Pineville LA ... 0.5 \n", 190 | "2 22nd Ave and 56th St Kenosha WI ... 16.8 \n", 191 | "3 3000 Seminole Ave South Gate CA ... 98.8 \n", 192 | "4 364 Hiwood Ave Munroe Falls OH ... 1.7 \n", 193 | "\n", 194 | " p_income h_income county_income comp_income county_bucket nat_bucket \\\n", 195 | "0 28375 51367 54766 0.937936 3 3 \n", 196 | "1 14678 27972 40930 0.683411 2 1 \n", 197 | "2 25286 45365 54930 0.825869 2 3 \n", 198 | "3 17194 48295 55909 0.863814 3 3 \n", 199 | "4 33954 68785 49669 1.384868 5 4 \n", 200 | "\n", 201 | " pov urate college \n", 202 | "0 14.1 0.097686 0.168510 \n", 203 | "1 28.8 0.065724 0.111402 \n", 204 | "2 14.6 0.166293 0.147312 \n", 205 | "3 11.7 0.124827 0.050133 \n", 206 | "4 1.9 0.063550 0.403954 \n", 207 | "\n", 208 | "[5 rows x 34 columns]" 209 | ] 210 | }, 211 | "execution_count": 2, 212 | "metadata": {}, 213 | "output_type": "execute_result" 214 | } 215 | ], 216 | "source": [ 217 | "police_killings.head()" 218 | ] 219 | }, 220 | { 221 | "cell_type": "code", 222 | "execution_count": 3, 223 | "metadata": { 224 | "collapsed": false 225 | }, 226 | "outputs": [ 227 | { 228 | "data": { 229 | "image/png": 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230 | "text/plain": [ 231 | "" 232 | ] 233 | }, 234 | "metadata": {}, 235 | "output_type": "display_data" 236 | } 237 | ], 238 | "source": [ 239 | "%matplotlib inline\n", 240 | "import matplotlib.pyplot as plt\n", 241 | "import numpy as np\n", 242 | "\n", 243 | "race_counts = police_killings[\"raceethnicity\"].value_counts()\n", 244 | "plt.bar(range(len(race_counts)), race_counts)\n", 245 | "xtickloc = np.array(range(len(race_counts)))+0.5\n", 246 | "plt.xticks(xtickloc, race_counts.index, rotation=90)\n", 247 | "plt.show()" 248 | ] 249 | }, 250 | { 251 | "cell_type": "markdown", 252 | "metadata": {}, 253 | "source": [ 254 | "At first glance, whites make up the majority of police killings, however, upon further inspection, the proportion of whites in the population implies that minorities are being the victims of police shootings at significantly higher rates." 255 | ] 256 | }, 257 | { 258 | "cell_type": "code", 259 | "execution_count": 4, 260 | "metadata": { 261 | "collapsed": true 262 | }, 263 | "outputs": [], 264 | "source": [ 265 | "filt = police_killings[police_killings[\"p_income\"] != '-']" 266 | ] 267 | }, 268 | { 269 | "cell_type": "code", 270 | "execution_count": 5, 271 | "metadata": { 272 | "collapsed": false 273 | }, 274 | "outputs": [], 275 | "source": [ 276 | "income = filt[\"p_income\"]" 277 | ] 278 | }, 279 | { 280 | "cell_type": "code", 281 | "execution_count": 6, 282 | "metadata": { 283 | "collapsed": false 284 | }, 285 | "outputs": [], 286 | "source": [ 287 | "income = income.astype(int)" 288 | ] 289 | }, 290 | { 291 | "cell_type": "code", 292 | "execution_count": 7, 293 | "metadata": { 294 | "collapsed": false 295 | }, 296 | "outputs": [ 297 | { 298 | "data": { 299 | "text/plain": [ 300 | "" 301 | ] 302 | }, 303 | "execution_count": 7, 304 | "metadata": {}, 305 | "output_type": "execute_result" 306 | }, 307 | { 308 | "data": { 309 | "image/png": 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310 | "text/plain": [ 311 | "" 312 | ] 313 | }, 314 | "metadata": {}, 315 | "output_type": "display_data" 316 | } 317 | ], 318 | "source": [ 319 | "income.hist(bins=30)" 320 | ] 321 | }, 322 | { 323 | "cell_type": "code", 324 | "execution_count": 34, 325 | "metadata": { 326 | "collapsed": false 327 | }, 328 | "outputs": [], 329 | "source": [ 330 | "state_pop = pd.read_csv(\"state_population.csv\")" 331 | ] 332 | }, 333 | { 334 | "cell_type": "code", 335 | "execution_count": 40, 336 | "metadata": { 337 | "collapsed": false 338 | }, 339 | "outputs": [], 340 | "source": [ 341 | "counts = police_killings[\"state_fp\"].value_counts()" 342 | ] 343 | }, 344 | { 345 | "cell_type": "code", 346 | "execution_count": 36, 347 | "metadata": { 348 | "collapsed": true 349 | }, 350 | "outputs": [], 351 | "source": [ 352 | "states = pd.DataFrame({\"STATE\": counts.index, \"shootings\": counts})" 353 | ] 354 | }, 355 | { 356 | "cell_type": "code", 357 | "execution_count": 37, 358 | "metadata": { 359 | "collapsed": false 360 | }, 361 | "outputs": [], 362 | "source": [ 363 | "states = state_pop.merge(states, on=\"STATE\")" 364 | ] 365 | }, 366 | { 367 | "cell_type": "code", 368 | "execution_count": 86, 369 | "metadata": { 370 | "collapsed": false 371 | }, 372 | "outputs": [ 373 | { 374 | "data": { 375 | "text/html": [ 376 | "
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nameagegenderraceethnicitymonthdayyearstreetaddresscitystatelatitudelongitudestate_fpcounty_fptract_cegeo_idcounty_idnamelsadlawenforcementagencycausearmedpopshare_whiteshare_blackshare_hispanicp_incomeh_incomecounty_incomecomp_incomecounty_bucketnat_bucketpovuratecollege
0 A'donte Washington 16 Male Black February 23 2015 Clearview Ln Millbrook AL 32.529577 -86.362829 1 51 30902 1051030902 1051 Census Tract 309.02 Millbrook Police Department Gunshot No 3779 60.5 30.5 5.6 28375 51367 54766 0.937936 3 3 14.1 0.097686 0.168510
1 Aaron Rutledge 27 Male White April 2 2015 300 block Iris Park Dr Pineville LA 31.321739 -92.434860 22 79 11700 22079011700 22079 Census Tract 117 Rapides Parish Sheriff's Office Gunshot No 2769 53.8 36.2 0.5 14678 27972 40930 0.683411 2 1 28.8 0.065724 0.111402
2 Aaron Siler 26 Male White March 14 2015 22nd Ave and 56th St Kenosha WI 42.583560 -87.835710 55 59 1200 55059001200 55059 Census Tract 12 Kenosha Police Department Gunshot No 4079 73.8 7.7 16.8 25286 45365 54930 0.825869 2 3 14.6 0.166293 0.147312
3 Aaron Valdez 25 Male Hispanic/Latino March 11 2015 3000 Seminole Ave South Gate CA 33.939298-118.219463 6 37 535607 6037535607 6037 Census Tract 5356.07 South Gate Police Department Gunshot Firearm 4343 1.2 0.6 98.8 17194 48295 55909 0.863814 3 3 11.7 0.124827 0.050133
4 Adam Jovicic 29 Male White March 19 2015 364 Hiwood Ave Munroe Falls OH 41.148575 -81.429878 39 153 530800 39153530800 39153 Census Tract 5308 Kent Police Department Gunshot No 6809 92.5 1.4 1.7 33954 68785 49669 1.384868 5 4 1.9 0.063550 0.403954
\n", 605 | "
" 606 | ], 607 | "text/plain": [ 608 | " name age gender raceethnicity month day year \\\n", 609 | "0 A'donte Washington 16 Male Black February 23 2015 \n", 610 | "1 Aaron Rutledge 27 Male White April 2 2015 \n", 611 | "2 Aaron Siler 26 Male White March 14 2015 \n", 612 | "3 Aaron Valdez 25 Male Hispanic/Latino March 11 2015 \n", 613 | "4 Adam Jovicic 29 Male White March 19 2015 \n", 614 | "\n", 615 | " streetaddress city state latitude longitude \\\n", 616 | "0 Clearview Ln Millbrook AL 32.529577 -86.362829 \n", 617 | "1 300 block Iris Park Dr Pineville LA 31.321739 -92.434860 \n", 618 | "2 22nd Ave and 56th St Kenosha WI 42.583560 -87.835710 \n", 619 | "3 3000 Seminole Ave South Gate CA 33.939298 -118.219463 \n", 620 | "4 364 Hiwood Ave Munroe Falls OH 41.148575 -81.429878 \n", 621 | "\n", 622 | " state_fp county_fp tract_ce geo_id county_id \\\n", 623 | "0 1 51 30902 1051030902 1051 \n", 624 | "1 22 79 11700 22079011700 22079 \n", 625 | "2 55 59 1200 55059001200 55059 \n", 626 | "3 6 37 535607 6037535607 6037 \n", 627 | "4 39 153 530800 39153530800 39153 \n", 628 | "\n", 629 | " namelsad lawenforcementagency cause armed \\\n", 630 | "0 Census Tract 309.02 Millbrook Police Department Gunshot No \n", 631 | "1 Census Tract 117 Rapides Parish Sheriff's Office Gunshot No \n", 632 | "2 Census Tract 12 Kenosha Police Department Gunshot No \n", 633 | "3 Census Tract 5356.07 South Gate Police Department Gunshot Firearm \n", 634 | "4 Census Tract 5308 Kent Police Department Gunshot No \n", 635 | "\n", 636 | " pop share_white share_black share_hispanic p_income h_income \\\n", 637 | "0 3779 60.5 30.5 5.6 28375 51367 \n", 638 | "1 2769 53.8 36.2 0.5 14678 27972 \n", 639 | "2 4079 73.8 7.7 16.8 25286 45365 \n", 640 | "3 4343 1.2 0.6 98.8 17194 48295 \n", 641 | "4 6809 92.5 1.4 1.7 33954 68785 \n", 642 | "\n", 643 | " county_income comp_income county_bucket nat_bucket pov urate \\\n", 644 | "0 54766 0.937936 3 3 14.1 0.097686 \n", 645 | "1 40930 0.683411 2 1 28.8 0.065724 \n", 646 | "2 54930 0.825869 2 3 14.6 0.166293 \n", 647 | "3 55909 0.863814 3 3 11.7 0.124827 \n", 648 | "4 49669 1.384868 5 4 1.9 0.063550 \n", 649 | "\n", 650 | " college \n", 651 | "0 0.168510 \n", 652 | "1 0.111402 \n", 653 | "2 0.147312 \n", 654 | "3 0.050133 \n", 655 | "4 0.403954 " 656 | ] 657 | }, 658 | "execution_count": 86, 659 | "metadata": {}, 660 | "output_type": "execute_result" 661 | } 662 | ], 663 | "source": [ 664 | "states[\"pop_millions\"] = states[\"POPESTIMATE2015\"] / 1000000\n", 665 | "states[\"rate\"] = states[\"shootings\"] / states[\"pop_millions\"]\n", 666 | "df = states.sort(\"shootings\")\n", 667 | "pk_10lowest = df[:10]\n", 668 | "pk_10highest = df[-10:]\n", 669 | "\n", 670 | "\n", 671 | "states['state_fp'] = states.STATE\n", 672 | "\n", 673 | "pk = police_killings[police_killings[\"share_white\"] != '-']\n", 674 | "pk = pk[pk[\"share_black\"] != '-']\n", 675 | "pk = pk[pk[\"share_hispanic\"] != '-']\n", 676 | "\n", 677 | "share_cols = ['share_white', 'share_black', 'share_hispanic']\n", 678 | "pk[share_cols] = pk[share_cols].astype(float)\n", 679 | "\n", 680 | "pk[['state', 'share_white', 'share_black', 'share_hispanic']]\n", 681 | "\n", 682 | "new_pk = states.merge(pk, on=\"state_fp\")\n", 683 | "\n", 684 | "pk.head()\n" 685 | ] 686 | }, 687 | { 688 | "cell_type": "code", 689 | "execution_count": 88, 690 | "metadata": { 691 | "collapsed": false 692 | }, 693 | "outputs": [], 694 | "source": [ 695 | "lowest = list(pk_10lowest.STATE)\n", 696 | "highest = list(pk_10highest.STATE)\n", 697 | "\n", 698 | "new_pk_low = new_pk[new_pk.state_fp.isin(lowest)]\n", 699 | "new_pk_high = new_pk[new_pk.state_fp.isin(highest)]" 700 | ] 701 | }, 702 | { 703 | "cell_type": "code", 704 | "execution_count": 93, 705 | "metadata": { 706 | "collapsed": false 707 | }, 708 | "outputs": [ 709 | { 710 | "name": "stdout", 711 | "output_type": "stream", 712 | "text": [ 713 | " pop county_income share_white share_black share_hispanic\n", 714 | "count 15.000000 15.000000 15.000000 15.000000 15.000000\n", 715 | "mean 5031.866667 58328.000000 72.173333 9.306667 7.073333\n", 716 | "std 2991.855895 15623.922825 23.165259 12.323929 8.074428\n", 717 | "min 2619.000000 31163.000000 25.500000 0.100000 0.000000\n", 718 | "25% 3246.500000 46917.500000 55.500000 1.250000 2.500000\n", 719 | "50% 4066.000000 59018.000000 75.400000 3.700000 5.200000\n", 720 | "75% 5127.000000 71589.000000 94.200000 12.650000 9.500000\n", 721 | "max 13561.000000 79488.000000 99.600000 45.600000 32.200000\n", 722 | " pop county_income share_white share_black share_hispanic\n", 723 | "count 260.000000 260.000000 260.000000 260.000000 260.000000\n", 724 | "mean 5048.934615 53632.969231 45.030000 13.189615 32.118077\n", 725 | "std 2582.080474 12697.837635 28.042125 19.545498 26.853527\n", 726 | "min 732.000000 22545.000000 0.300000 0.000000 0.100000\n", 727 | "25% 3535.750000 45700.000000 20.550000 1.075000 9.650000\n", 728 | "50% 4699.000000 53137.000000 45.600000 5.600000 23.800000\n", 729 | "75% 5923.500000 56853.000000 68.750000 17.550000 50.000000\n", 730 | "max 26826.000000 91702.000000 96.500000 95.600000 98.800000\n" 731 | ] 732 | } 733 | ], 734 | "source": [ 735 | "pd.set_option(\"display.max_columns\", None)\n", 736 | "\n", 737 | "cols = ['pop', 'county_income', 'share_white', 'share_black', 'share_hispanic']\n", 738 | "print(new_pk_low[cols].describe())\n", 739 | "print(new_pk_high[cols].describe())\n" 740 | ] 741 | }, 742 | { 743 | "cell_type": "code", 744 | "execution_count": 94, 745 | "metadata": { 746 | "collapsed": false 747 | }, 748 | "outputs": [], 749 | "source": [ 750 | "dummy_low = {}\n", 751 | "dummy_high = {}\n", 752 | "for column in cols:\n", 753 | " dummy_low[column] = new_pk_low[column].mean()\n", 754 | " dummy_high[column] = new_pk_high[column].mean()\n", 755 | " " 756 | ] 757 | }, 758 | { 759 | "cell_type": "code", 760 | "execution_count": 96, 761 | "metadata": { 762 | "collapsed": false 763 | }, 764 | "outputs": [ 765 | { 766 | "name": "stdout", 767 | "output_type": "stream", 768 | "text": [ 769 | "{'share_hispanic': 7.0733333333333333, 'share_black': 9.3066666666666666, 'pop': 5031.8666666666668, 'county_income': 58328.0, 'share_white': 72.173333333333346} {'share_hispanic': 32.11807692307692, 'share_black': 13.189615384615385, 'pop': 5048.9346153846154, 'county_income': 53632.969230769231, 'share_white': 45.029999999999994}\n" 770 | ] 771 | } 772 | ], 773 | "source": [ 774 | "print(dummy_low, dummy_high)" 775 | ] 776 | }, 777 | { 778 | "cell_type": "code", 779 | "execution_count": null, 780 | "metadata": { 781 | "collapsed": true 782 | }, 783 | "outputs": [], 784 | "source": [] 785 | } 786 | ], 787 | "metadata": { 788 | "kernelspec": { 789 | "display_name": "Python 3", 790 | "language": "python", 791 | "name": "python3" 792 | }, 793 | "language_info": { 794 | "codemirror_mode": { 795 | "name": "ipython", 796 | "version": 3 797 | }, 798 | "file_extension": ".py", 799 | "mimetype": "text/x-python", 800 | "name": "python", 801 | "nbconvert_exporter": "python", 802 | "pygments_lexer": "ipython3", 803 | "version": "3.4.3" 804 | } 805 | }, 806 | "nbformat": 4, 807 | "nbformat_minor": 0 808 | } 809 | -------------------------------------------------------------------------------- /Guided Project- Police killings/police_killings.csv: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pmk2109/DataQuest/38e3fc36a0f7cd960363fff8157836f590b973a4/Guided Project- Police killings/police_killings.csv -------------------------------------------------------------------------------- /Guided Project- Police killings/state_population.csv: -------------------------------------------------------------------------------- 1 | SUMLEV,REGION,DIVISION,STATE,NAME,POPESTIMATE2015,POPEST18PLUS2015,PCNT_POPEST18PLUS 2 | 010,0,0,00,United States,321418820,247773709,77.1 3 | 040,3,6,01,Alabama,4858979,3755483,77.3 4 | 040,4,9,02,Alaska,738432,552166,74.8 5 | 040,4,8,04,Arizona,6828065,5205215,76.2 6 | 040,3,7,05,Arkansas,2978204,2272904,76.3 7 | 040,4,9,06,California,39144818,30023902,76.7 8 | 040,4,8,08,Colorado,5456574,4199509,77 9 | 040,1,1,09,Connecticut,3590886,2826827,78.7 10 | 040,3,5,10,Delaware,945934,741548,78.4 11 | 040,3,5,11,District of Columbia,672228,554121,82.4 12 | 040,3,5,12,Florida,20271272,16166143,79.7 13 | 040,3,5,13,Georgia,10214860,7710688,75.5 14 | 040,4,9,15,Hawaii,1431603,1120770,78.3 15 | 040,4,8,16,Idaho,1654930,1222093,73.8 16 | 040,2,3,17,Illinois,12859995,9901322,77 17 | 040,2,3,18,Indiana,6619680,5040224,76.1 18 | 040,2,4,19,Iowa,3123899,2395103,76.7 19 | 040,2,4,20,Kansas,2911641,2192084,75.3 20 | 040,3,6,21,Kentucky,4425092,3413425,77.1 21 | 040,3,7,22,Louisiana,4670724,3555911,76.1 22 | 040,1,1,23,Maine,1329328,1072948,80.7 23 | 040,3,5,24,Maryland,6006401,4658175,77.6 24 | 040,1,1,25,Massachusetts,6794422,5407335,79.6 25 | 040,2,3,26,Michigan,9922576,7715272,77.8 26 | 040,2,4,27,Minnesota,5489594,4205207,76.6 27 | 040,3,6,28,Mississippi,2992333,2265485,75.7 28 | 040,2,4,29,Missouri,6083672,4692196,77.1 29 | 040,4,8,30,Montana,1032949,806529,78.1 30 | 040,2,4,31,Nebraska,1896190,1425853,75.2 31 | 040,4,8,32,Nevada,2890845,2221681,76.9 32 | 040,1,1,33,New Hampshire,1330608,1066610,80.2 33 | 040,1,2,34,New Jersey,8958013,6959192,77.7 34 | 040,4,8,35,New Mexico,2085109,1588201,76.2 35 | 040,1,2,36,New York,19795791,15584974,78.7 36 | 040,3,5,37,North Carolina,10042802,7752234,77.2 37 | 040,2,4,38,North Dakota,756927,583001,77 38 | 040,2,3,39,Ohio,11613423,8984946,77.4 39 | 040,3,7,40,Oklahoma,3911338,2950017,75.4 40 | 040,4,9,41,Oregon,4028977,3166121,78.6 41 | 040,1,2,42,Pennsylvania,12802503,10112229,79 42 | 040,1,1,44,Rhode Island,1056298,845254,80 43 | 040,3,5,45,South Carolina,4896146,3804558,77.7 44 | 040,2,4,46,South Dakota,858469,647145,75.4 45 | 040,3,6,47,Tennessee,6600299,5102688,77.3 46 | 040,3,7,48,Texas,27469114,20257343,73.7 47 | 040,4,8,49,Utah,2995919,2083423,69.5 48 | 040,1,1,50,Vermont,626042,506119,80.8 49 | 040,3,5,51,Virginia,8382993,6512571,77.7 50 | 040,4,9,53,Washington,7170351,5558509,77.5 51 | 040,3,5,54,West Virginia,1844128,1464532,79.4 52 | 040,2,3,55,Wisconsin,5771337,4476711,77.6 53 | 040,4,8,56,Wyoming,586107,447212,76.3 54 | 040,X,X,72,Puerto Rico Commonwealth,3474182,2736791,78.8 55 | -------------------------------------------------------------------------------- /Guided Project- Predicting the stock market/predict.py: -------------------------------------------------------------------------------- 1 | import pandas as pd 2 | import numpy as np 3 | from datetime import datetime 4 | 5 | df = pd.read_csv('sphist.csv') 6 | df['DateTime'] = pd.to_datetime(df.Date) 7 | df_ordered = df.sort('DateTime', ascending=True) 8 | df_ordered['index'] = range(0,df.shape[0],1) 9 | df_ordered.set_index(['index']) 10 | 11 | 12 | df_ordered['date_after_april1_2015'] = df_ordered.DateTime > datetime(year=2015, month=4, day=1) 13 | data_mean_5day = pd.rolling_mean(df_ordered.Close, window=5).shift(1) 14 | data_mean_365day = pd.rolling_mean(df_ordered.Close, window=365).shift(1) 15 | data_mean_ratio = data_mean_5day/data_mean_365day 16 | 17 | data_std_5day = pd.rolling_std(df_ordered.Close, window=5).shift(1) 18 | data_std_365day = pd.rolling_std(df_ordered.Close, window=365).shift(1) 19 | data_std_ratio = data_std_5day/data_std_365day 20 | 21 | df_ordered['data_mean_5day'] = data_mean_5day 22 | df_ordered['data_mean_365day'] = data_mean_365day 23 | df_ordered['data_mean_ratio'] = data_mean_ratio 24 | df_ordered['data_std_5day'] = data_std_5day 25 | df_ordered['data_std_365day'] = data_std_365day 26 | df_ordered['data_std_ratio'] = data_std_ratio 27 | 28 | 29 | df_new = df_ordered[df_ordered["DateTime"] > datetime(year=1951, month=1, day=2)] 30 | df_no_NA = df_new.dropna(axis=0) 31 | 32 | df_train = df_no_NA[df_no_NA['DateTime'] < datetime(year=2013, month=1, day=1)] 33 | df_test = df_no_NA[df_no_NA['DateTime'] >= datetime(year=2013, month=1, day=1)] 34 | 35 | 36 | from sklearn.linear_model import LinearRegression 37 | model = LinearRegression() 38 | features = ['data_mean_5day', 'data_mean_365day', 'data_mean_ratio', 'data_std_5day', 'data_std_365day', 'data_std_ratio'] 39 | X = df_train[features] 40 | X_test = df_test[features] 41 | y = df_train.Close 42 | y_test = df_test.Close 43 | 44 | model.fit(X, y) 45 | pred = model.predict(X_test) 46 | 47 | MAE = sum(abs(pred - y_test))/len(pred) 48 | print(MAE) 49 | print(model.score(X, y)) 50 | 51 | 52 | 53 | 54 | 55 | 56 | 57 | 58 | -------------------------------------------------------------------------------- /Guided Project- Transforming data with Python/__pycache__/read.cpython-34.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pmk2109/DataQuest/38e3fc36a0f7cd960363fff8157836f590b973a4/Guided Project- Transforming data with Python/__pycache__/read.cpython-34.pyc -------------------------------------------------------------------------------- /Guided Project- Transforming data with Python/count.py: -------------------------------------------------------------------------------- 1 | import read 2 | from collections import Counter 3 | 4 | df = read.load_data() 5 | headlines = df.headline 6 | 7 | headline_list = "" 8 | for i in range(len(headlines)): 9 | headline_list += str(headlines[i]).strip("!@^&*():;<>,.?/[]{}+=|-_ ") + " " 10 | headline_list = headline_list.lower() 11 | headline_list = headline_list.split(" ") 12 | 13 | headline_clean = [] 14 | for i in range(len(headline_list)): 15 | if headline_list[i] in "!@^&*():;<>,.?/[]{}+=|-_ ": 16 | pass 17 | else: 18 | headline_clean.append(headline_list[i]) 19 | 20 | headline_dict = Counter(headline_clean) 21 | headline_count_list = sorted(headline_dict, key=headline_dict.get, reverse=True) 22 | print(headline_count_list[:100]) -------------------------------------------------------------------------------- /Guided Project- Transforming data with Python/domains.py: -------------------------------------------------------------------------------- 1 | import read 2 | from collections import Counter 3 | #from urlparse import urlparse 4 | #import tldextract 5 | 6 | df = read.load_data() 7 | urls = df.url 8 | 9 | urls_domain = [] 10 | 11 | """ 12 | for x in urls: 13 | url = urlparse.urlparse(address) 14 | length = len(url.hostname.split('.')) 15 | domain = url.hostname.split('.')[(length-2):] 16 | urls_domain.append(domain) 17 | 18 | print(urls_domain) 19 | """ 20 | 21 | 22 | 23 | """ 24 | for x in urls: 25 | extracted = tldextract.extract(str(x)) 26 | urls_domain.append("{}.{}".format(extracted.domain, extracted.suffix)) 27 | 28 | print(urls_domain) 29 | """ 30 | 31 | 32 | 33 | 34 | urls_counts = urls.value_counts() 35 | first100 = urls_counts[:10] 36 | for name, row in first100.items(): 37 | print("{0}: {1}".format(name, row)) 38 | -------------------------------------------------------------------------------- /Guided Project- Transforming data with Python/read.py: -------------------------------------------------------------------------------- 1 | import pandas as pd 2 | 3 | def load_data(): 4 | df = pd.read_csv("hn_stories.csv") 5 | df.columns = ['submission_time', 'upvotes', 'url', 'headline'] 6 | return df 7 | 8 | 9 | -------------------------------------------------------------------------------- /Guided Project- Transforming data with Python/read.pyc: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pmk2109/DataQuest/38e3fc36a0f7cd960363fff8157836f590b973a4/Guided Project- Transforming data with Python/read.pyc -------------------------------------------------------------------------------- /Guided Project- Transforming data with Python/times.py: -------------------------------------------------------------------------------- 1 | import read 2 | from dateutil.parser import parse 3 | 4 | df = read.load_data() 5 | 6 | times = df.submission_time 7 | 8 | def hour_extract(datetimeobj): 9 | datetime_obj = parse(datetimeobj) 10 | return datetime_obj.hour 11 | 12 | def day_extract(datetimeobj): 13 | return parse(datetimeobj).day 14 | 15 | 16 | df['submission_hour'] = times.apply(lambda x: hour_extract(x)) 17 | sub_hour = df.submission_hour 18 | sub_hour_counts = sub_hour.value_counts() 19 | 20 | df['submission_day'] = times.apply(lambda x: day_extract(x)) 21 | sub_day = df.submission_day 22 | sub_day_counts = sub_day.value_counts() 23 | 24 | print(sub_day_counts[:8]) -------------------------------------------------------------------------------- /Guided Project- Using Jupyter notebook/2015_white_house.csv: -------------------------------------------------------------------------------- 1 | Name,Status,Salary,Pay Basis,Position Title 2 | "Abdullah, Hasan A.",Detailee,105960,Per Annum,POLICY ADVISOR 3 | "Abraham, Sabey M.",Employee,55000,Per Annum,ENERGY AND ENVIRONMENT DIRECTOR FOR PRESIDENTIAL PERSONNEL 4 | "Abraham, Yohannes A.",Employee,121200,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND CHIEF OF STAFF FOR THE OFFICE OF PUBLIC ENGAGEMENT AND INTERGOVERNMENTAL AFFAIRS 5 | "Abramson, Jerry E.",Employee,155035,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT AND DIRECTOR OF INTERGOVERNMENTAL AFFAIRS 6 | "Adler, Caroline E.",Employee,114000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND DIRECTOR OF COMMUNICATIONS FOR THE FIRST LADY 7 | "Aiyer, Vikrum D.",Detailee,134662,Per Annum,SENIOR POLICY ADVISOR 8 | "Alcantara, Elias ",Employee,65650,Per Annum,ASSOCIATE DIRECTOR OF INTERGOVERNMENTAL AFFAIRS 9 | "Ali, Mohammed I.",Employee,42000,Per Annum,STAFF ASSISTANT 10 | "Allen, Angelica P.",Employee,50000,Per Annum,SPECIAL ASSISTANT TO THE DIRECTOR OF THE OFFICE OF POLITICAL STRATEGY AND OUTREACH 11 | "Allen, Elizabeth M.",Employee,103000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR MESSAGE PLANNING 12 | "Allen, Jessica L.",Employee,42844,Per Annum,PRESS ASSISTANT 13 | "Allison, Ashley R.",Employee,97000,Per Annum,DEPUTY DIRECTOR OF PUBLIC ENGAGEMENT 14 | "Amendolare, Vincent C.",Employee,42420,Per Annum,ANALYST 15 | "Amuluru, Uma M.",Detailee,116804,Per Annum,ASSOCIATE COUNSEL 16 | "Anderson, Amanda D.",Employee,126250,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND HOUSE LEGISLATIVE AFFAIRS LIAISON 17 | "Anderson, Charles D.",Employee,101000,Per Annum,SENIOR ADVISOR FOR THE NATIONAL ECONOMIC COUNCIL 18 | "Aniskoff, Paulette L.",Employee,155035,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT AND DIRECTOR OF THE OFFICE OF PUBLIC ENGAGEMENT 19 | "Ashton, Nathaniel R.",Employee,42000,Per Annum,STAFF ASSISTANT 20 | "Austin, Jr., Roy L.",Employee,160085,Per Annum,"DEPUTY ASSISTANT TO THE PRESIDENT FOR THE OFFICE OF URBAN AFFAIRS, JUSTICE, AND OPPORTUNITY" 21 | "Axios, Ashleigh T.",Employee,73225,Per Annum,DIGITAL CREATIVE DIRECTOR 22 | "Babajide, Ayotunde T.",Detailee,114480,Per Annum,SENIOR POLICY ADVISOR 23 | "Bae, Yena ",Employee,44000,Per Annum,SENIOR ANALYST AND PROJECT MANAGER 24 | "Baker, Sarah E.",Employee,131805,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND ASSOCIATE COUNSEL TO THE PRESIDENT 25 | "Bansal, Gaurab ",Employee,120000,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT AND DEPUTY CABINET SECRETARY 26 | "Barnes, Desiree N.",Employee,42844,Per Annum,PRESS ASSISTANT 27 | "Bartoloni, Kristen A.",Employee,70000,Per Annum,DEPUTY DIRECTOR OF RESEARCH 28 | "Beckford, Kevin F.",Employee,42000,Per Annum,ANALYST 29 | "Beliveau, Emmett S.",Employee,160085,Per Annum,ASSISTANT TO THE PRESIDENT AND DIRECTOR OF THE WHITE HOUSE MILITARY OFFICE 30 | "Benenati, Frank J.",Employee,84840,Per Annum,ASSISTANT PRESS SECRETARY 31 | "Bennett, Tabitha R.",Employee,50000,Per Annum,PRESS LEAD 32 | "Bentley, Lauren G.",Employee,45450,Per Annum,TRAVEL PLANNER 33 | "Berg, Kristen E.",Employee,45450,Per Annum,STENOGRAPHER 34 | "Berger, Samuel K.",Employee,95000,Per Annum,SENIOR POLICY ADVISOR 35 | "Bernstein, Cynthia R.",Employee,52000,Per Annum,ASSOCIATE DIRECTOR FOR FINANCE 36 | "Bertagnoll, Brendan P.",Employee,50500,Per Annum,SENIOR WRITER 37 | "Billingsley, Tara L.",Employee,125000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND SENATE LEGISLATIVE AFFAIRS LIAISON 38 | "Bisognano, John P.",Employee,65000,Per Annum,ASSOCIATE DIRECTOR OF PUBLIC ENGAGEMENT 39 | "Blair, Patricia A.",Employee,98669,Per Annum,CHIEF CALLIGRAPHER 40 | "Blakemore, Emily D.",Employee,50500,Per Annum,SPECIAL ASSISTANT TO THE DEPUTY CHIEF OF STAFF 41 | "Bleiweis, Alexander A.",Employee,45450,Per Annum,ASSOCIATE DIRECTOR FOR SCHEDULING CORRESPONDENCE 42 | "Block, Sharon I.",Detailee,163000,Per Annum,SENIOR PUBLIC ENGAGEMENT ADVISOR FOR LABOR AND WORKING FAMILIES 43 | "Blount, Patricia H.",Employee,56178,Per Annum,RECORDS MANAGEMENT ANALYST 44 | "Blume, Kolbie A.",Employee,42420,Per Annum,ANALYST 45 | "Bollinger, Chelsea M.",Employee,55000,Per Annum,ASSOCIATE DIRECTOR OF SCHEDULING 46 | "Bosworth, Michael S.",Employee,160085,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT AND DEPUTY COUNSEL TO THE PRESIDENT 47 | "Bowerman, Heidi L.",Employee,42000,Per Annum,ANALYST 48 | "Boyd, Blaine A.",Employee,50000,Per Annum,DIRECTOR OF CORRESPONDENCE FOR THE FIRST LADY 49 | "Boyle, Emily M.",Employee,45000,Per Annum,SPECIAL ASSISTANT TO THE DIRECTOR OF SCHEDULING AND ADVANCE 50 | "Branch, Katherine Y.",Employee,71407,Per Annum,DIRECTOR OF SPECIAL PROJECTS AND SPECIAL ASSISTANT TO THE SENIOR ADVISOR 51 | "Brandenburg, Hilary R.",Employee,50500,Per Annum,SPECIAL ASSISTANT TO THE DIRECTOR OF THE NATIONAL ECONOMIC COUNCIL 52 | "Bray, Alan R.",Employee,50500,Per Annum,ADVANCE LEAD 53 | "Brayton, Jenna C.",Employee,47975,Per Annum,ASSOCIATE DIRECTOR OF CONTENT AND OPERATIONS 54 | "Breckenridge, Anita J.",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT AND DEPUTY CHIEF OF STAFF FOR OPERATIONS 55 | "Breitenbeck, Casey L.",Employee,55550,Per Annum,SPECIAL ASSISTANT AND ADVANCE LEAD 56 | "Brinker, Sonja C.",Employee,42420,Per Annum,ANALYST 57 | "Briscoe, Rochelle B.",Employee,114130,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR PRESIDENTIAL PERSONNEL 58 | "Broadie, Kristina T.",Employee,51005,Per Annum,PRESS LEAD 59 | "Brooke, Mary J.",Employee,99905,Per Annum,SUPERVISOR OF CORRESPONDENCE REVIEW 60 | "Brooks, Douglas M.",Employee,101000,Per Annum,DIRECTOR OF THE OFFICE OF NATIONAL AIDS POLICY 61 | "Brooks, Jordan A.",Employee,55000,Per Annum,ASSISTANT DIRECTOR OF THE COUNCIL ON WOMEN AND GIRLS 62 | "Brosius, Rory M.",Employee,66307,Per Annum,"DEPUTY DIRECTOR, JOINING FORCES" 63 | "Brown, Debra S. ",Employee,87680,Per Annum,CALLIGRAPHER 64 | "Brown, Tramaine D.",Employee,55000,Per Annum,ASSOCIATE DIRECTOR OF SCHEDULING AND ADVANCE 65 | "Brundage, Amy J.",Employee,141400,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT AND DEPUTY DIRECTOR OF COMMUNICATIONS 66 | "Brush, Michael P.",Employee,131300,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT AND DIRECTOR OF ADVANCE AND OPERATIONS 67 | "Burger, Jillian M.",Employee,50000,Per Annum,DIRECTOR OF GREETINGS 68 | "Burglass, Summer A.",Employee,52000,Per Annum,ASSOCIATE DIRECTOR OF WHITE HOUSE PERSONNEL 69 | "Burke, Katherine R.",Employee,50500,Per Annum,POLICY ADVISOR 70 | "Burns, Annina C.",Detailee,118057,Per Annum,"ASSOCIATE DIRECTOR FOR POLICY, LET'S MOVE!" 71 | "Campbell, Frances L.",Employee,105960,Per Annum,"SUPERVISOR, DOCUMENT MANAGEMENT AND TRACKING UNIT" 72 | "Canegallo, Kristie A.",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT AND DEPUTY CHIEF OF STAFF FOR IMPLEMENTATION 73 | "Cardona, Mario R.",Employee,75000,Per Annum,SENIOR POLICY ADVISOR 74 | "Carmen, Evan S.",Employee,44440,Per Annum,SENIOR ANALYST AND PROJECT MANAGER 75 | "Carson, Crystal M.",Employee,50500,Per Annum,EXECUTIVE ASSISTANT 76 | "Ceronsky, Megan M.",Employee,100000,Per Annum,SENIOR POLICY ADVISOR 77 | "Chan, Emmanuel M.",Employee,42420,Per Annum,STAFF ASSISTANT 78 | "Chiza, Glorie B.",Employee,42420,Per Annum,STAFF ASSISTANT 79 | "Claude, Lilia H.",Employee,63199,Per Annum,INFORMATION SERVICES OPERATOR 80 | "Click, John S.",Employee,47363,Per Annum,INFORMATION SERVICES OPERATOR 81 | "Coates, Kelsey A.",Employee,50000,Per Annum,ASSOCIATE RESEARCH DIRECTOR FOR VETTING 82 | "Cobbina, Kwesi A.",Employee,96910,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND POLICY ADVISOR TO THE OFFICE OF THE CHIEF OF STAFF 83 | "Cohen, Ilona R.",Employee,131805,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND ASSOCIATE COUNSEL TO THE PRESIDENT 84 | "Cohen, Mitchell R.",Employee,50500,Per Annum,SENIOR WRITER 85 | "Cohen, Nora E.",Employee,56106,Per Annum,SPECIAL ASSISTANT AND ADVANCE LEAD 86 | "Coleman, Pamela D.",Employee,114130,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR PRESIDENTIAL PERSONNEL 87 | "Conn-Powers, Alyse C.",Employee,42000,Per Annum,ANALYST 88 | "Contreras, Nita N.",Employee,60000,Per Annum,ASSISTANT STAFF SECRETARY 89 | "Cooper, Anna M.",Employee,42000,Per Annum,STAFF ASSISTANT 90 | "Costa, Kristina L.",Employee,60600,Per Annum,POLICY ADVISOR 91 | "Cunnane, Patrick J.",Employee,57550,Per Annum,DEPUTY DIRECTOR OF MESSAGE PLANNING AND SENIOR WRITER 92 | "Cushman, Chase M.",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT AND DIRECTOR OF SCHEDULING AND ADVANCE 93 | "Cutillo, Andrew D.",Employee,42000,Per Annum,ANALYST 94 | "Dansky Bari, Dominique A.",Employee,75750,Per Annum,DEPUTY DIRECTOR OF STENOGRAPHY 95 | "D'Arcangelo, Nicole M.",Employee,42420,Per Annum,INFORMATION SERVICES OPERATOR 96 | "Dautzenberg, John P.",Employee,45450,Per Annum,LEGISLATIVE ASSISTANT 97 | "Dechter, Gadi",Detailee,134662,Per Annum,SENIOR POLICY ADVISOR 98 | "Deese, Brian C.",Employee,172200,Per Annum,ASSISTANT TO THE PRESIDENT AND SENIOR ADVISOR 99 | "Degen, Gregory R.",Employee,70700,Per Annum,SENIOR ASSISTANT STAFF SECRETARY 100 | "DeGuzman, Brian K.",Employee,65000,Per Annum,DIRECTOR OF THE WHITE HOUSE SWITCHBOARD 101 | "DeGuzman, Jr., Danilo ",Employee,78592,Per Annum,PRESIDENTIAL SUPPORT SPECIALIST 102 | "Dessources, Kalisha ",Employee,42000,Per Annum,STAFF ASSISTANT 103 | "DeValk, Randall J.",Detailee,165300,Per Annum,COUNSELOR TO THE OFFICE OF LEGISLATIVE AFFAIRS 104 | "Devaney, Stephanie A.",Detailee,110902,Per Annum,SENIOR POLICY ADVISOR 105 | "Diamond, Robert I.",Employee,97000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND DIRECTOR OF PRIVATE SECTOR ENGAGEMENT 106 | "Dietz, David R.",Employee,42844,Per Annum,SPECIAL ASSISTANT TO THE CHIEF OF STAFF FOR THE OFFICE OF PUBLIC ENGAGEMENT AND INTERGOVERNMENTAL AFFAIRS 107 | "Dillon, Molly D.",Employee,45450,Per Annum,POLICY ASSISTANT FOR URBAN AFFAIRS AND ECONOMIC MOBILITY 108 | "Dinneen, Jacklyn D.",Detailee,130032,Per Annum,ASSOCIATE POLICY DIRECTOR 109 | "Dominguez, Daniel J.",Employee,115140,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND ASSOCIATE COUNSEL TO THE PRESIDENT 110 | "Donohue, Kelsey A.",Employee,42000,Per Annum,RESEARCH ASSOCIATE 111 | "Donovan, Michael W.",Employee,103020,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND DEPUTY DIRECTOR OF SCHEDULING 112 | "Dorey-Stein, Rebecca C.",Employee,63630,Per Annum,STENOGRAPHER 113 | "Dorsainvil, Monique ",Employee,61206,Per Annum,DIRECTOR OF PLANNING AND EVENTS FOR THE OFFICE OF PUBLIC ENGAGEMENT AND INTERGOVERNMENTAL AFFAIRS 114 | "Doukas, Diana L.",Employee,65000,Per Annum,DIRECTOR OF THE WHITE HOUSE BUSINESS COUNCIL 115 | "Droege, Philip C.",Employee,143079,Per Annum,DIRECTOR OF RECORDS MANAGEMENT 116 | "Dumas, Clay A.",Employee,80000,Per Annum,CHIEF OF STAFF FOR THE OFFICE OF DIGITAL STRATEGY 117 | "Durheim, Joseph T.",Employee,60600,Per Annum,ASSOCIATE DIRECTOR 118 | "Dyer, Deesha A.",Employee,118000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND WHITE HOUSE SOCIAL SECRETARY 119 | "Earnest, Joshua R.",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT AND PRESS SECRETARY 120 | "Edelman, Ross D.",Employee,120000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR ECONOMIC AND TECHNOLOGY POLICY 121 | "Edmonds, Anita J.",Employee,57934,Per Annum,RECORDS MANAGEMENT ANALYST 122 | "Egan, Brian J.",Employee,160085,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT AND DEPUTY COUNSEL TO THE PRESIDENT 123 | "Eggleston, Warren N.",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT AND COUNSEL TO THE PRESIDENT 124 | "Eisenberg, Lynn D.",Employee,99990,Per Annum,DEPUTY ASSOCIATE COUNSEL 125 | "Elias, John W.",Detailee,138871,Per Annum,DEPUTY ASSOCIATE COUNSEL FOR PRESIDENTIAL PERSONNEL 126 | "Eschmeyer, Debra L.",Employee,115000,Per Annum,EXECUTIVE DIRECTOR OF LET'S MOVE! AND SENIOR POLICY ADVISOR FOR NUTRITION POLICY 127 | "Escobar, Felicia A.",Employee,101000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR IMMIGRATION POLICY 128 | "Etienne, Ashley D.",Employee,103020,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND CABINET COMMUNICATIONS DIRECTOR 129 | "Evans, Elisabeth W.",Employee,65650,Per Annum,ASSOCIATE DIRECTOR OF PUBLIC ENGAGEMENT 130 | "Evans, Karen M.",Employee,50500,Per Annum,SPECIAL ASSISTANT 131 | "Faed, Pantea ",Employee,55550,Per Annum,DEPUTY ASSOCIATE DIRECTOR 132 | "Fallon, Katherine B. ",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT AND DIRECTOR OF THE OFFICE OF LEGISLATIVE AFFAIRS 133 | "Fatemi, Mandana ",Employee,44000,Per Annum,SENIOR ANALYST AND PROJECT MANAGER 134 | "Fay, Jennifer M.",Employee,115000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR MANAGEMENT AND ADMINISTRATION AND DIRECTOR OF WHITE HOUSE PERSONNEL 135 | "Federico, Carina C.",Detailee,126245,Per Annum,CLEARANCE COUNSEL 136 | "Ferguson, Katharine W.",Detailee,141400,Per Annum,SENIOR POLICY ADVISOR 137 | "Fiddler, Leah C.",Employee,42420,Per Annum,ANALYST 138 | "Figures, Shomari C.",Employee,55550,Per Annum,DOMESTIC DIRECTOR FOR PRESIDENTIAL PERSONNEL 139 | "Fistonich, George M.",Employee,45905,Per Annum,POLICY ASSISTANT 140 | "Fitzgerald, Quinn S.",Employee,42844,Per Annum,STAFF ASSISTANT 141 | "Fleming, Camylle J.",Employee,42000,Per Annum,SPECIAL ASSISTANT TO THE DIRECTOR OF PRESIDENTIAL PERSONNEL 142 | "Fonzone, Christopher C.",Employee,115140,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND ASSOCIATE COUNSEL TO THE PRESIDENT 143 | "Ford, Harrison A.",Employee,56106,Per Annum,SPECIAL ASSISTANT 144 | "Foster, Heather J.",Employee,66307,Per Annum,PUBLIC ENGAGEMENT ADVISOR 145 | "Freeman, Myra B.",Employee,75395,Per Annum,SENIOR MANAGEMENT ANALYST 146 | "Friedman, Jennifer B.",Employee,111100,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND DEPUTY PRESS SECRETARY 147 | "Friedman, Joshua N.",Employee,112000,Per Annum,ASSOCIATE COUNSEL 148 | "Frohlichstein, Richard ",Employee,45450,Per Annum,LEGAL ASSISTANT 149 | "Gabriel, Jr., Brian A.",Employee,42000,Per Annum,PRESS ASSISTANT 150 | "Gainedi, Sriramya ",Employee,45000,Per Annum,SPECIAL ASSISTANT TO THE CHIEF OF STAFF TO THE FIRST LADY 151 | "Gallogly, Katharine S.",Employee,42420,Per Annum,SPECIAL ASSISTANT TO THE DIRECTOR OF PUBLIC ENGAGEMENT 152 | "Galloway, John M.",Employee,121200,Per Annum,SENIOR ADVISOR AND CHIEF OF STAFF OF THE NATIONAL ECONOMIC COUNCIL 153 | "Garber, Adam W.",Employee,73225,Per Annum,DIRECTOR OF VIDEO FOR DIGITAL STRATEGY 154 | "Gaughran, Kaitlin D.",Employee,55550,Per Annum,DIRECTOR OF PRINCIPAL TRIP ACCOMMODATIONS 155 | "George, Elizabeth L.",Detailee,130453,Per Annum,DEPUTY ASSOCIATE COUNSEL 156 | "Gianotti, Claire L.",Employee,45450,Per Annum,RESEARCHER 157 | "Gillum, Bria L.",Employee,51005,Per Annum,POLICY ASSISTANT 158 | "Goldman, Jason B.",Employee,140000,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT AND CHIEF DIGITAL OFFICER 159 | "Gonzalez, Ximena ",Employee,62620,Per Annum,DEPUTY CHIEF OF STAFF FOR PRESIDENTIAL PERSONNEL 160 | "Gordon, Gabriella J.",Employee,45000,Per Annum,LEGISLATIVE ASSISTANT 161 | "Govashiri, Ferial ",Employee,109080,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND PERSONAL AIDE TO THE PRESIDENT 162 | "Gray, Ian Q.",Employee,45450,Per Annum,SPECIAL ASSISTANT TO THE DIRECTOR OF THE DOMESTIC POLICY COUNCIL 163 | "Green, Valerie E.",Employee,162900,Per Annum,ASSISTANT TO THE PRESIDENT AND DIRECTOR OF PRESIDENTIAL PERSONNEL 164 | "Grigonis, Alison M.",Employee,80000,Per Annum,SENIOR DIRECTOR OF CABINET AFFAIRS 165 | "Grimes, Stephen H.",Employee,60600,Per Annum,ASSOCIATE DIRECTOR 166 | "Gurman, Jesse A.",Employee,111100,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND DEPUTY STAFF SECRETARY 167 | "Gustavson, Matthew J.",Employee,50864,Per Annum,DEPUTY DIRECTOR FOR INFORMATION SERVICES 168 | "Gwynn, II, Artemus R.",Employee,45928,Per Annum,INFORMATION SERVICES OPERATOR 169 | "Haines, Avril D.",Employee,172200,Per Annum,ASSISTANT TO THE PRESIDENT AND DEPUTY NATIONAL SECURITY ADVISOR 170 | "Hakim, Neema ",Employee,45450,Per Annum,RESEARCHER 171 | "Hankins, Hannah R.",Employee,60000,Per Annum,COMMUNICATIONS DIRECTOR OF THE DOMESTIC POLICY COUNCIL AND OFFICE OF NATIONAL AIDS POLICY 172 | "Hanlon, Seth D.",Employee,120000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR ECONOMIC POLICY 173 | "Hardikar, Aditi S.",Employee,65650,Per Annum,ASSOCIATE DIRECTOR OF PUBLIC ENGAGEMENT 174 | "Harris, Adrienne A.",Employee,120000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR ECONOMIC POLICY 175 | "Harris, Jacqueline B.",Employee,45905,Per Annum,LEGISLATIVE ASSISTANT AND ASSOCIATE DIRECTOR FOR LEGISLATIVE CORRESPONDENCE 176 | "Hartz, Timothy S.",Employee,65650,Per Annum,SPECIAL ASSISTANT AND SENIOR ADVANCE LEAD 177 | "Harwood, Maria-Zena A.",Employee,52667,Per Annum,RECORDS MANAGEMENT ANALYST 178 | "Hassan, Zaid B.",Employee,42844,Per Annum,STAFF ASSISTANT 179 | "Hegde, Shilpa S.",Employee,80800,Per Annum,ASSOCIATE STAFF SECRETARY 180 | "Heinzelman, Kate E.",Employee,115140,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND ASSOCIATE COUNSEL TO THE PRESIDENT 181 | "Herczeg, Jonathan A.",Detailee,158700,Per Annum,SENIOR POLICY ADVISOR 182 | "Herman, Daniel J.",Employee,55550,Per Annum,NATIONAL SECURITY DIRECTOR FOR PRESIDENTIAL PERSONNEL 183 | "Hicks Delgado, Tequia M.",Employee,60600,Per Annum,MEMBER RELATIONS ADVISOR 184 | "Higley, Lacey E.",Employee,42000,Per Annum,SPECIAL ASSISTANT TO THE OFFICE OF CABINET AFFAIRS 185 | "Hoang, Vy T.",Employee,56178,Per Annum,RECORDS MANAGEMENT ANALYST 186 | "Hobbs, James R.",Employee,63125,Per Annum,SENIOR DESIGNER FOR THE OFFICE OF DIGITAL STRATEGY 187 | "Hoffine, Brandi S.",Employee,84840,Per Annum,ASSISTANT PRESS SECRETARY 188 | "Holst, Lindsay L.",Employee,73957,Per Annum,DIRECTOR OF DIGITAL CONTENT 189 | "Hoover, Zealan T.",Employee,45450,Per Annum,POLICY ASSISTANT 190 | "Hornung, Daniel Z.",Employee,64000,Per Annum,SPECIAL ASSISTANT AND ADVISOR TO THE SENIOR ADVISOR 191 | "Houshower, Samuel B.",Employee,80000,Per Annum,ASSOCIATE COUNSEL 192 | "Hsu, Irene ",Employee,61206,Per Annum,POLICY ADVISOR 193 | "Hudson, Jr., David L.",Employee,47975,Per Annum,ASSOCIATE DIRECTOR OF CONTENT 194 | "Hunt, Thomas F.",Employee,65000,Per Annum,DEPUTY DIRECTOR FOR OPERATIONS 195 | "Hurwitz, Sarah K.",Employee,116150,Per Annum,"SPECIAL ASSISTANT TO THE PRESIDENT, SENIOR STRATEGIC AND POLICY ADVISOR TO THE COUNCIL ON WOMEN AND GIRLS, AND SENIOR PRESIDENTIAL SPEECHWRITER" 196 | "Ismail, Lori J.",Employee,45450,Per Annum,LEGISLATIVE ASSISTANT 197 | "Jackson, Bartlett W.",Employee,55000,Per Annum,SENIOR ASSOCIATE RESEARCH DIRECTOR 198 | "Jackson, Jamie L.",Detailee,78924,Per Annum,NATIONAL SECURITY DIRECTOR FOR PRESIDENTIAL PERSONNEL 199 | "Jackson, Theresa R.",Employee,67664,Per Annum,INFORMATION SERVICES OPERATOR 200 | "Jacob, Susannah ",Employee,50500,Per Annum,ASSISTANT SPEECHWRITER 201 | "Jacobson, Daniel F.",Employee,72000,Per Annum,DEPUTY ASSOCIATE COUNSEL 202 | "Jarrett, Valerie B.",Employee,173922,Per Annum,SENIOR ADVISOR AND ASSISTANT TO THE PRESIDENT FOR INTERGOVERNMENTAL AFFAIRS AND PUBLIC ENGAGEMENT 203 | "Johnson, Broderick D.",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT AND CABINET SECRETARY 204 | "Johnson, Linda M.",Employee,71530,Per Annum,INFORMATION SERVICES OPERATOR 205 | "Jones, Crystal B.",Employee,91657,Per Annum,"ASSISTANT SUPERVISOR, DOCUMENT MANAGEMENT AND TRACKING UNIT" 206 | "Jones, Kristin T.",Employee,70000,Per Annum,SPECIAL ASSISTANT AND DIRECTOR OF SPECIAL PROJECTS FOR THE FIRST LADY 207 | "Jones, Sidney L.",Employee,42420,Per Annum,INFORMATION SERVICES OPERATOR 208 | "Jones, Stefani A.",Employee,42420,Per Annum,MEDIA MONITOR 209 | "Jones, Takesha R.",Employee,52454,Per Annum,INFORMATION SERVICES OPERATOR 210 | "Kader, Gabriel D.",Employee,60000,Per Annum,ASSISTANT COUNSEL 211 | "Kalbaugh, David E.",Employee,143079,Per Annum,EXECUTIVE CLERK 212 | "Kale, Katy A.",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT FOR MANAGEMENT AND ADMINISTRATION 213 | "Kane, Amanda J.",Employee,80000,Per Annum,DEPUTY ASSOCIATE COUNSEL FOR PRESIDENTIAL PERSONNEL 214 | "Kang, Christopher D.",Employee,160085,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT AND DEPUTY COUNSEL TO THE PRESIDENT 215 | "Katz-Hernandez, Leah B.",Employee,42844,Per Annum,WEST WING RECEPTIONIST 216 | "Kawahata, Molly M.",Employee,45450,Per Annum,POLICY ASSISTANT 217 | "Keenan, Ashley E.",Employee,42420,Per Annum,STAFF ASSISTANT 218 | "Keenan, Cody S.",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT AND DIRECTOR OF SPEECHWRITING 219 | "Keeney, Andrew J.",Employee,45905,Per Annum,COORDINATOR 220 | "Kelly, Elizabeth A.",Employee,58580,Per Annum,SENIOR POLICY ADVISOR 221 | "Kelly, Lauren M.",Employee,65000,Per Annum,DEPUTY DIRECTOR AND DEPUTY SOCIAL SECRETARY 222 | "Kelly, Nijah C.",Employee,47361,Per Annum,INFORMATION SERVICES OPERATOR 223 | "Kilaru, Rakesh N.",Employee,114000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND ASSOCIATE COUNSEL TO THE PRESIDENT 224 | "Kim, Julia ",Employee,42420,Per Annum,STAFF ASSISTANT 225 | "King, Taeshonnda C.",Employee,64955,Per Annum,RECORDS MANAGEMENT ANALYST 226 | "Kissinger, Alexa M.",Employee,42844,Per Annum,STAFF ASSISTANT 227 | "Kline, Lacy R.",Employee,65000,Per Annum,DIRECTOR OF THE WHITE HOUSE INTERNSHIP PROGRAM 228 | "Ko, Alissa L.",Employee,65000,Per Annum,ASSOCIATE DIRECTOR OF INTERGOVERNMENTAL AFFAIRS 229 | "Kochman, Katherine H.",Employee,121200,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND CHIEF OF STAFF OF THE DOMESTIC POLICY COUNCIL 230 | "Koo, Stacy J.",Employee,114130,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND CHIEF OF STAFF FOR PRESIDENTIAL PERSONNEL 231 | "Kreikemeier, Chad R.",Employee,125000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND SENATE LEGISLATIVE AFFAIRS LIAISON 232 | "Krueger, Benjamin S.",Employee,42844,Per Annum,ANALYST 233 | "Kupe, Laura J.",Detailee,54423,Per Annum,DOMESTIC DIRECTOR FOR PRESIDENTIAL PERSONNEL 234 | "Kvaal, James R.",Employee,160085,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT AND DEPUTY DIRECTOR OF THE DOMESTIC POLICY COUNCIL 235 | "Lacko, Michelle V.",Detailee,150776,Per Annum,ETHICS COUNSEL 236 | "Lambrew, Jeanne M.",Employee,160085,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT FOR HEALTH POLICY 237 | "Lamm, Garrett C.",Employee,41000,Per Annum,ANALYST 238 | "Langner, Emily R.",Employee,80800,Per Annum,ASSOCIATE STAFF SECRETARY 239 | "Larimer, Becky S.",Employee,67670,Per Annum,CALLIGRAPHER 240 | "Larkin, Kellie N.",Employee,126250,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND HOUSE LEGISLATIVE AFFAIRS LIAISON 241 | "Larrimore, Zachary T.",Employee,44440,Per Annum,SENIOR ANALYST AND PROJECT MANAGER 242 | "Lartey, Solomon D.",Employee,63199,Per Annum,RECORDS MANAGEMENT ANALYST 243 | "Layden, William J.",Employee,50000,Per Annum,SPECIAL ASSISTANT TO THE CHIEF OF STAFF 244 | "Le Mon, Christopher J.",Employee,114130,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR PRESIDENTIAL PERSONNEL 245 | "Leary, Kimberlyn R.",Employee,0,Per Annum,ADVISOR TO THE COUNCIL ON WOMEN AND GIRLS 246 | "Lechtenberg, Tyler A.",Employee,85850,Per Annum,SENIOR PRESIDENTIAL SPEECHWRITER 247 | "Lee, Gi H.",Employee,55550,Per Annum,ASSOCIATE DIRECTOR FOR CONFIRMATIONS 248 | "Lee, Jesse C.",Employee,96910,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND DIRECTOR OF PROGRESSIVE MEDIA AND ONLINE RESPONSE 249 | "Lee, Jonathan S.",Employee,42420,Per Annum,STAFF ASSISTANT 250 | "Lee, Victoria J.",Employee,42420,Per Annum,ANALYST 251 | "Leibenluft, Jacob D.",Employee,120000,Per Annum,"SPECIAL ASSISTANT TO THE PRESIDENT AND DEPUTY DIRECTOR, NATIONAL ECONOMIC COUNCIL" 252 | "Lessne, Allison B.",Employee,60600,Per Annum,DEPUTY CHIEF OF STAFF FOR THE NATIONAL ECONOMIC COUNCIL 253 | "Levine, Sarah L.",Employee,131805,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND ASSOCIATE COUNSEL TO THE PRESIDENT 254 | "Lezotte, Darin R.",Employee,72219,Per Annum,SUPERVISOR OF SEARCH AND FILE 255 | "Lierman, Kyle J.",Employee,65650,Per Annum,ASSOCIATE DIRECTOR OF PUBLIC ENGAGEMENT 256 | "Lillard, Brooke M.",Employee,50500,Per Annum,SPECIAL ASSISTANT TO THE SENIOR ADVISOR 257 | "Lillie, Jordan N.",Employee,75000,Per Annum,DEPUTY DIRECTOR OF PRESIDENTIAL CORRESPONDENCE 258 | "Lin, Austin Y.",Employee,52000,Per Annum,ASSOCIATE DIRECTOR FOR OPERATIONS 259 | "Litt, David M.",Employee,101000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND SENIOR PRESIDENTIAL SPEECHWRITER 260 | "Loeb, Emily M.",Employee,112000,Per Annum,ASSOCIATE COUNSEL 261 | "Loewentheil, Nathaniel F.",Employee,58580,Per Annum,SENIOR POLICY ADVISOR 262 | "Lopez, David J.",Employee,50500,Per Annum,SPECIAL ASSISTANT TO THE DEPUTY CHIEF OF STAFF 263 | "Lorjuste, Gregory ",Employee,131300,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT AND DIRECTOR OF SCHEDULING 264 | "Lustig, Taylor J.",Employee,45450,Per Annum,POLICY ASSISTANT 265 | "MacDonald, John J.",Detailee,128790,Per Annum,ETHICS ADVISOR 266 | "MacFarquhar, Rory ",Employee,131805,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR INTERNATIONAL ECONOMICS 267 | "Magana, Genevieve",Employee,65000,Per Annum,ASSOCIATE DIRECTOR OF PUBLIC ENGAGEMENT 268 | "Mahoney, Caitria L.",Employee,70000,Per Annum,DIRECTOR OF PLANNING FOR THE OFFICE OF POLITICAL STRATEGY AND OUTREACH 269 | "Main, Galen E.",Employee,78038,Per Annum,PRINCIPAL DEPUTY DIRECTOR 270 | "Malachowski, Nicole M.",Detailee,136406,Per Annum,"EXECUTIVE DIRECTOR, JOINING FORCES" 271 | "Maley, Keith R.",Employee,76407,Per Annum,DIRECTOR OF REGIONAL MEDIA 272 | "Malik, Quratul-Ann ",Employee,45450,Per Annum,POLICY ASSISTANT 273 | "Mann, Dominique J.",Employee,42420,Per Annum,PRESS ASSISTANT 274 | "Marcus, Robert N.",Employee,116150,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR LEGISLATIVE AFFAIRS 275 | "Martin, Darren D.",Employee,50500,Per Annum,DIRECTOR OF THE COMMENT LINE 276 | "Martz, Stephanie A.",Employee,136350,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND SENIOR COUNSEL TO THE PRESIDENT 277 | "Mattson, Philip C.",Employee,64955,Per Annum,SPECIAL ASSISTANT 278 | "McCathran, William W.",Employee,108987,Per Annum,ASSISTANT EXECUTIVE CLERK 279 | "McCombs, Claire E.",Employee,75750,Per Annum,CHIEF OF STAFF TO THE OFFICE OF THE WHITE HOUSE COUNSEL 280 | "McCormick, Michael J.",Employee,75750,Per Annum,DEPUTY DIRECTOR OF STENOGRAPHY 281 | "McDermott, Hugh C.",Employee,45000,Per Annum,SCHEDULER 282 | "McDonough, Denis R.",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT AND CHIEF OF STAFF 283 | "McKay, Caroline M.",Employee,42000,Per Annum,STAFF ASSISTANT 284 | "McLaughlin, Margaret T.",Employee,131300,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT FOR PRESIDENTIAL PERSONNEL 285 | "McPhail, Taylor M.",Employee,45450,Per Annum,TRAVEL MANAGER 286 | "McQuaid, Nicholas R.",Employee,135000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND SENIOR COUNSEL TO THE PRESIDENT 287 | "Mellody, Kathleen L.",Employee,126250,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND SENATE LEGISLATIVE AFFAIRS LIAISON 288 | "Menon, Ajita T.",Employee,94869,Per Annum,SENIOR POLICY ADVISOR FOR EDUCATION 289 | "Merrick, Kelsey R.",Employee,100000,Per Annum,"SENIOR ADVISOR, TAX AND FISCAL POLICY" 290 | "Mesiwala, Alefiyah K.",Detailee,107325,Per Annum,SENIOR POLICY ADVISOR 291 | "Mevis, Kathryn E.",Employee,125000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND SENATE LEGISLATIVE AFFAIRS LIAISON 292 | "Meyer, Kenneth A.",Employee,47975,Per Annum,ASSOCIATE DIRECTOR OF ONLINE ENGAGEMENT 293 | "Miller, Jason S.",Employee,147500,Per Annum,"DEPUTY ASSISTANT TO THE PRESIDENT AND DEPUTY DIRECTOR, NATIONAL ECONOMIC COUNCIL" 294 | "Millison, Chad L.",Employee,64955,Per Annum,RECORDS MANAGEMENT ANALYST 295 | "Millones, Danielle V.",Employee,42420,Per Annum,STAFF ASSISTANT 296 | "Miraaj-Raza, Sidrah ",Employee,42420,Per Annum,INFORMATION SERVICES OPERATOR 297 | "Miterko, Kelly C.",Employee,56106,Per Annum,DEPUTY ASSOCIATE DIRECTOR OF LET'S MOVE! 298 | "Mokros, Andrea K.",Employee,104030,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND DIRECTOR OF STRATEGIC PLANNING FOR THE FIRST LADY 299 | "Monaco, Lisa O.",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT FOR HOMELAND SECURITY AND COUNTERTERRORISM AND DEPUTY NATIONAL SECURITY ADVISOR 300 | "Moore, Jesse D.",Employee,61206,Per Annum,SPEECHWRITER 301 | "Moore, Jr., Michael P.",Employee,80000,Per Annum,DEPUTY ASSOCIATE COUNSEL FOR PRESIDENTIAL PERSONNEL 302 | "Moose, Amanda D.",Employee,114130,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR PRESIDENTIAL PERSONNEL 303 | "Mosteller, Brian D.",Employee,102000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND DIRECTOR OF OVAL OFFICE OPERATIONS 304 | "Mulhall, Erin C.",Employee,80000,Per Annum,DEPUTY DIRECTOR OF ADVANCE AND DIRECTOR OF PRESS ADVANCE 305 | "Mulholland, Melissa C.",Detailee,90823,Per Annum,POLICY ASSISTANT 306 | "Muñoz, Cecilia ",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT AND DIRECTOR OF THE DOMESTIC POLICY COUNCIL 307 | "Munro, Marea L.",Employee,42000,Per Annum,RECORDS MANAGEMENT ANALYST 308 | "Murphy, Allison F.",Detailee,126245,Per Annum,ASSOCIATE COUNSEL 309 | "Murray, Shailagh J.",Employee,172200,Per Annum,ASSISTANT TO THE PRESIDENT AND SENIOR ADVISOR 310 | "Neiman, Wanda M.",Employee,78592,Per Annum,ASSISTANT TO THE EXECUTIVE CLERK 311 | "Nelson, Gregory S.",Employee,131805,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND SENIOR ADVISOR FOR THE NATIONAL ECONOMIC COUNCIL 312 | "Nerurkar, Neelesh L.",Detailee,138871,Per Annum,SENIOR POLICY ADVISOR 313 | "Newman, David A.",Employee,114000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND ASSOCIATE COUNSEL TO THE PRESIDENT 314 | "Nguyen, Eric S.",Employee,112000,Per Annum,ASSOCIATE COUNSEL 315 | "Nicholson, Jr., Marvin D.",Employee,131300,Per Annum,"SPECIAL ASSISTANT TO THE PRESIDENT, TRIP DIRECTOR AND PERSONAL AIDE TO THE PRESIDENT" 316 | "Noble, David L.",Employee,131300,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT FOR PRESIDENTIAL PERSONNEL 317 | "Noor, Fatima M.",Detailee,44492,Per Annum,POLICY ASSISTANT 318 | "Norris, Amanda J.",Employee,53045,Per Annum,ASSOCIATE DIRECTOR FOR TECHNOLOGY 319 | "Nosanchuk, Mathew S.",Detailee,158700,Per Annum,ASSOCIATE DIRECTOR OF PUBLIC ENGAGEMENT 320 | "Oakar, Catherine R.",Detailee,130453,Per Annum,SENIOR POLICY ADVISOR 321 | "O'Connor, Jennifer M.",Employee,160085,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT AND DEPUTY COUNSEL TO THE PRESIDENT 322 | "O'Leary, Kathleen M.",Employee,42420,Per Annum,STAFF ASSISTANT 323 | "Olinsky, Benjamin C.",Employee,93930,Per Annum,SENIOR POLICY ADVISOR FOR LABOR AND WORKFORCE 324 | "Olorunnipa, Funmi E.",Detailee,118057,Per Annum,ETHICS COUNSEL 325 | "Owens, Rodrick T.",Employee,44440,Per Annum,SENIOR ANALYST AND PROJECT MANAGER 326 | "Pan, Elizabeth H.",Employee,55550,Per Annum,DEPUTY ASSOCIATE DIRECTOR 327 | "Paone, Martin P.",Employee,158500,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT FOR LEGISLATIVE AFFAIRS AND SENATE LIAISON 328 | "Park, Todd Y.",Employee,0,Per Annum,ADVISOR FOR TECHNOLOGY 329 | "Pate, Brian E.",Employee,70700,Per Annum,ASSISTANT TO THE EXECUTIVE CLERK FOR LEGISLATION 330 | "Patel, Rohan ",Employee,97970,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR INTERGOVERNMENTAL AFFAIRS 331 | "Patterson, Edward D.",Employee,42420,Per Annum,ANALYST 332 | "Paulsen, Joseph B.",Employee,115000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND PRINCIPAL TRAVEL AIDE 333 | "Payne, John H.",Employee,45905,Per Annum,COORDINATOR 334 | "Pèrez, Alejandro ",Employee,160085,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT FOR LEGISLATIVE AFFAIRS AND HOUSE LIAISON 335 | "Peri, Sarada K.",Employee,85850,Per Annum,SENIOR PRESIDENTIAL SPEECHWRITER 336 | "Perkins, Nathaniel M.",Employee,90900,Per Annum,CHIEF OF STAFF AND SENIOR ADVISOR TO THE DIRECTOR OF THE OFFICE OF LEGISLATIVE AFFAIRS 337 | "Peterson, Ann R.",Employee,56106,Per Annum,OPERATIONS DIRECTOR FOR PRESIDENTIAL PERSONNEL 338 | "Phan, Jessica H.",Employee,42000,Per Annum,STAFF ASSISTANT 339 | "Pielemeier, Katherine L.",Employee,55550,Per Annum,OUTREACH AND RECRUITMENT DIRECTOR FOR PRESIDENTIAL PERSONNEL 340 | "Platkin, Alexandra R.",Employee,100000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND DIRECTOR OF RESEARCH 341 | "Platt, Katherine A.",Employee,154530,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT FOR MANAGEMENT AND ADMINISTRATION 342 | "Poese, Caroline S.",Employee,42420,Per Annum,RECORDS MANAGEMENT ANALYST 343 | "Pollack, Joshua D.",Employee,126250,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND SENATE LEGISLATIVE AFFAIRS LIAISON 344 | "Presser, Jeremy S.",Employee,90900,Per Annum,PRINCIPAL DEPUTY ASSOCIATE COUNSEL 345 | "Preve, Alexander W.",Employee,42420,Per Annum,ANALYST 346 | "Price, Ryan L.",Employee,65650,Per Annum,SPECIAL ASSISTANT AND ADVISOR TO THE DIRECTOR OF LEGISLATIVE AFFAIRS 347 | "Pruski, Jacek",Detailee,130453,Per Annum,DEPUTY ASSOCIATE COUNSEL FOR PRESIDENTIAL PERSONNEL 348 | "Psaki, Jennifer R.",Employee,172200,Per Annum,ASSISTANT TO THE PRESIDENT AND DIRECTOR OF COMMUNICATIONS 349 | "Purse, Andrea E.",Employee,101000,Per Annum,DIRECTOR OF BROADCAST MEDIA 350 | "Quillian, Natalie H.",Employee,140000,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT AND ADVISOR TO THE CHIEF OF STAFF 351 | "Racusen, Rachel J.",Employee,98000,Per Annum,STRATEGIC COMMUNICATIONS ADVISOR 352 | "Rafi, Hina A.",Employee,44493,Per Annum,INFORMATION SERVICES OPERATOR 353 | "Raizk, Paul S.",Employee,125210,Per Annum,DEPUTY DIRECTOR AND SENIOR ADVISOR FOR RECORDS MANAGEMENT 354 | "Rana, Yasmin S.",Employee,47363,Per Annum,INFORMATION SERVICES OPERATOR 355 | "Rangel, Antoinette N.",Employee,57500,Per Annum,SPECIAL ASSISTANT AND ADVISOR TO THE PRESS SECRETARY 356 | "Rapp, Jeffrey J.",Employee,55000,Per Annum,ECONOMICS DIRECTOR FOR PRESIDENTIAL PERSONNEL 357 | "Raynor, Jessica J.",Employee,120000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR ECONOMIC POLICY 358 | "Recordon, David B.",Employee,120000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND DIRECTOR OF WHITE HOUSE INFORMATION TECHNOLOGY 359 | "Reeves, Fiona O.",Employee,111100,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND DIRECTOR OF PRESIDENTIAL CORRESPONDENCE 360 | "Rhodes, Benjamin J.",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT AND DEPUTY NATIONAL SECURITY ADVISOR FOR STRATEGIC COMMUNICATIONS AND SPEECHWRITING 361 | "Rice, Susan E.",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT AND NATIONAL SECURITY ADVISOR 362 | "Richards, Kaelan E.",Employee,70700,Per Annum,REGIONAL COMMUNICATIONS DIRECTOR 363 | "Richardson, Erin E.",Employee,95000,Per Annum,SENIOR POLICY ADVISOR 364 | "Roach, Cynthia L.",Employee,105960,Per Annum,SUPERVISOR OF CLASSIFICATION 365 | "Roberts, Brian D.",Employee,60000,Per Annum,DIRECTOR FOR CORRESPONDENCE SYSTEMS INNOVATION 366 | "Robinson, Ryan S.",Detailee,65847,Per Annum,ASSOCIATE DIRECTOR OF PUBLIC ENGAGEMENT 367 | "Roddick, Gertrude A.",Employee,94203,Per Annum,PRESIDENTIAL SUPPORT SPECIALIST 368 | "Rodriguez, Julie C.",Employee,97970,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND SENIOR DEPUTY DIRECTOR OF PUBLIC ENGAGEMENT 369 | "Rodriguez, Roberto J.",Employee,160085,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT FOR EDUCATION POLICY 370 | "Rogers, Melissa ",Employee,101000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND EXECUTIVE DIRECTOR OF THE WHITE HOUSE OFFICE OF FAITH-BASED AND NEIGHBORHOOD PARTNERSHIPS 371 | "Rooney, Megan E.",Employee,76508,Per Annum,SENIOR PRESIDENTIAL SPEECHWRITER 372 | "Rosa, Luke B.",Employee,50500,Per Annum,SENIOR ASSOCIATE DIRECTOR AND TRIP MANAGER 373 | "Rosenbaum, Amy D.",Employee,160085,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT FOR LEGISLATIVE AFFAIRS 374 | "Rosholm, Joanna S.",Employee,77000,Per Annum,PRESS SECRETARY AND DEPUTY COMMUNICATIONS DIRECTOR FOR THE FIRST LADY 375 | "Rothblum, Michelle L.",Employee,55550,Per Annum,ASSOCIATE DIRECTOR OF SCHEDULING 376 | "Rothman, Mika L.",Employee,45450,Per Annum,LEGAL ASSISTANT 377 | "Rouse, Hana N.",Employee,45450,Per Annum,DEPUTY ASSISTANT DIRECTOR OF BROADCAST MEDIA 378 | "Rowe, Courtney M.",Employee,87000,Per Annum,ASSOCIATE COMMUNICATIONS DIRECTOR 379 | "Rowe, Zawadi J.",Employee,44493,Per Annum,RECORDS MANAGEMENT ANALYST 380 | "Rusche, William M.",Employee,45000,Per Annum,VETTER 381 | "Ruskin, Rachel M.",Employee,45450,Per Annum,ADVANCE COORDINATOR 382 | "Ruvin, Hallie M.",Employee,42420,Per Annum,ASSOCIATE REGIONAL COMMUNICATIONS DIRECTOR 383 | "Saenz, Adrian ",Employee,97970,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR INTERGOVERNMENTAL AFFAIRS 384 | "Samuels, Jr., Wendell A.",Employee,72219,Per Annum,RECORDS MANAGEMENT INFORMATION SYSTEMS SPECIALIST 385 | "Sandoval, Kenneth A.",Employee,45450,Per Annum,EXECUTIVE ASSISTANT 386 | "Sarkesian, Lauren A.",Employee,45450,Per Annum,LEGISLATIVE ASSISTANT 387 | "Sarsour, Nora N.",Employee,42000,Per Annum,STAFF ASSISTANT 388 | "Sass, Joan C.",Employee,63199,Per Annum,INFORMATION SERVICES OPERATOR 389 | "Satkowiak, Karly M.",Employee,55550,Per Annum,SPECIAL ASSISTANT AND ADVANCE LEAD 390 | "Schafer, Ellie S.",Employee,115000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR MANAGEMENT AND ADMINISTRATION AND DIRECTOR OF THE VISITORS OFFICE 391 | "Schinazi, Yann D.",Employee,50000,Per Annum,SENIOR WRITER 392 | "Schmuck, Robert E.",Employee,106050,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND DEPUTY DIRECTOR OF THE OFFICE OF POLITICAL STRATEGY AND OUTREACH 393 | "Schneider, Michael P.",Employee,42420,Per Annum,STAFF ASSISTANT 394 | "Schneir, Hallie R.",Employee,97970,Per Annum,DEPUTY EXECUTIVE DIRECTOR AND DIRECTOR OF OUTREACH FOR THE COUNCIL ON WOMEN AND GIRLS 395 | "Schousen, Matthew R.",Employee,42420,Per Annum,ANALYST 396 | "Schulman, Kori S.",Employee,73957,Per Annum,DIRECTOR OF ONLINE ENGAGEMENT 397 | "Schultz, Eric H.",Employee,122210,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND PRINCIPAL DEPUTY PRESS SECRETARY 398 | "Scott, Karen M.",Employee,50500,Per Annum,POLICY ADVISOR 399 | "Seidman, David L.",Employee,50000,Per Annum,SPECIAL ASSISTANT TO THE CABINET SECRETARY 400 | "Sendroff, Jesse L.",Employee,45000,Per Annum,ADVANCE COORDINATOR 401 | "Sgro, Max C.",Employee,50500,Per Annum,ASSISTANT DIRECTOR FOR CONSTITUENT ENGAGEMENT FOR PRESIDENTIAL CORRESPONDENCE 402 | "Shevlin, Paige L.",Employee,120000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR ECONOMIC POLICY 403 | "Showers, Wendy W.",Employee,96878,Per Annum,"DIRECTOR, OFFICE OF PRESIDENTIAL SUPPORT" 404 | "Siegler, Matthew A.",Employee,58075,Per Annum,SENIOR POLICY ANALYST 405 | "Simas, David M.",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT AND DIRECTOR OF THE OFFICE OF POLITICAL STRATEGY AND OUTREACH 406 | "Singletary, Barvetta ",Employee,126250,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND HOUSE LEGISLATIVE AFFAIRS LIAISON 407 | "Sisson, Donald C.",Employee,126250,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR LEGISLATIVE AFFAIRS AND HOUSE LEGISLATIVE AFFAIRS LIAISON 408 | "Slabey, Jill D.",Employee,58000,Per Annum,SENIOR SCHEDULER 409 | "Smart, Christopher W.",Employee,131805,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR INTERNATIONAL ECONOMICS 410 | "Smith, II, Michael D.",Employee,111100,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND SENIOR DIRECTOR OF CABINET AFFAIRS FOR THE MY BROTHER’S KEEPER INITIATIVE 411 | "Smith, Jason J.",Employee,91809,Per Annum,"DEPUTY DIRECTOR, PRESIDENTIAL CORRESPONDENCE" 412 | "Smith, Mackenzie R.",Employee,65000,Per Annum,DEPUTY DIRECTOR OF SCHEDULING AND ADVANCE AND TRAVEL AIDE FOR THE FIRST LADY 413 | "Somanader, Tanya I.",Employee,63125,Per Annum,DEPUTY DIRECTOR OF DIGITAL CONTENT 414 | "Sopko, Alexandra L.",Employee,42420,Per Annum,SPECIAL ASSISTANT TO THE DIRECTOR OF INTERGOVERNMENTAL AFFAIRS 415 | "Sponzo, Jem C.",Detailee,138871,Per Annum,CLEARANCE COUNSEL 416 | "Spooner, Sarah C.",Employee,45905,Per Annum,COORDINATOR 417 | "Stegman, Michael A.",Detailee,165300,Per Annum,SENIOR POLICY ADVISOR 418 | "Stephens, Jeffrey M.",Employee,111100,Per Annum,DIRECTOR OF CONFIRMATIONS 419 | "Stock, Ann N.",Detailee,90823,Per Annum,POLICY ADVISOR 420 | "Stone, Amanda E.",Employee,63125,Per Annum,SENIOR PROGRAM MANAGER 421 | "Strome, Grace W.",Employee,60000,Per Annum,ASSOCIATE DIRECTOR 422 | "Sunshine, James R.",Employee,45000,Per Annum,VETTER 423 | "Suntum, Margaret M.",Employee,116150,Per Annum,DIRECTOR OF STENOGRAPHY 424 | "Tabor, Nicholas K.",Employee,58000,Per Annum,SENIOR POLICY ADVISOR 425 | "Taggart, Jr., Hugh T.",Employee,99296,Per Annum,ASSISTANT SUPERVISOR OF SEARCH AND FILE 426 | "Tate, Lucas L.",Employee,101000,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR ECONOMIC MOBILITY 427 | "Tate-Gilmore, Ashley R.",Employee,76508,Per Annum,DIRECTOR OF TRAVEL OFFICE 428 | "Tchen, Christina M.",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT AND CHIEF OF STAFF TO THE FIRST LADY 429 | "Teater, Louis D.",Employee,67670,Per Annum,SPECIAL ASSISTANT AND SENIOR ADVANCE LEAD 430 | "Tedmon, Dirk A.",Employee,60000,Per Annum,ASSOCIATE DIRECTOR FOR PRESIDENTIAL CORRESPONDENCE 431 | "Temaat, Stephanie M.",Employee,55550,Per Annum,SENIOR PRESS LEAD 432 | "Then, Corey M.",Employee,114130,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT FOR PRESIDENTIAL PERSONNEL 433 | "Thiele, Raina D.",Employee,65650,Per Annum,ASSOCIATE DIRECTOR OF INTERGOVERNMENTAL AFFAIRS 434 | "Thomas, Debbie A.",Employee,50000,Per Annum,SENIOR WRITER 435 | "Thomas, III, Edwin R.",Employee,110902,Per Annum,ASSISTANT EXECUTIVE CLERK FOR MESSAGES AND EXECUTIVE ACTIONS 436 | "Tiller, Jeffrey D.",Employee,78000,Per Annum,DIRECTOR OF SPECIALTY MEDIA 437 | "Town, Maria M.",Employee,65000,Per Annum,ASSOCIATE DIRECTOR OF PUBLIC ENGAGEMENT 438 | "Trainor, Gregory T.",Employee,71530,Per Annum,SPECIAL ASSISTANT 439 | "Tucker, Phyllis J.",Employee,99905,Per Annum,SUPERVISOR OF COMPUTER ADMINISTRATION 440 | "Utech, Dan G.",Employee,160085,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT FOR ENERGY AND CLIMATE CHANGE 441 | "Vahlsing, Candace M.",Employee,58075,Per Annum,SENIOR POLICY ANALYST 442 | "Vargas, Katherine A.",Employee,79568,Per Annum,DIRECTOR OF HISPANIC MEDIA 443 | "Varghese, Elizabeth J.",Employee,58000,Per Annum,ASSISTANT SUPERVISOR OF CLASSIFICATION 444 | "Varghese, Maju S.",Employee,103020,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND DEPUTY DIRECTOR OF ADVANCE 445 | "Velz, Peter T.",Employee,42844,Per Annum,PRESS ASSISTANT 446 | "Vignarajah, Krishanti ",Employee,90000,Per Annum,DIRECTOR OF INTERNATIONAL AFFAIRS AND SENIOR POLICY ADVISOR 447 | "Vilfer, Ryan E.",Employee,42420,Per Annum,STAFF ASSISTANT 448 | "Vorhaus, David A.",Employee,111100,Per Annum,SPECIAL ASSISTANT TO THE PRESIDENT AND ADVISOR TO THE OFFICE OF THE CHIEF OF STAFF 449 | "Vrazilek, Lauren S.",Employee,55000,Per Annum,DEPUTY PRESS SECRETARY FOR THE FIRST LADY 450 | "Wagstaff, Jesica E.",Employee,45905,Per Annum,LEGISLATIVE ASSISTANT AND ASSISTANT TO THE SENATE LIAISON 451 | "Waheed, Manar ",Employee,80800,Per Annum,DEPUTY POLICY DIRECTOR FOR IMMIGRATION 452 | "Wainscott, Kip F.",Detailee,134662,Per Annum,SENIOR DIRECTOR OF CABINET AFFAIRS 453 | "Waldo, Katherine A.",Employee,47470,Per Annum,TRIP COORDINATOR 454 | "Wall, Alexander B.",Employee,63125,Per Annum,DEPUTY DIRECTOR OF ONLINE ENGAGEMENT 455 | "Walsh, James D.",Detailee,171871,Per Annum,ASSOCIATE COUNSEL 456 | "Walsh, Joan L.",Employee,160085,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT AND STAFF SECRETARY 457 | "Wang, Ya W.",Employee,85000,Per Annum,SPECIAL ASSISTANT AND ADVISOR TO THE CHIEF OF STAFF 458 | "Whisenant, Addie M.",Employee,78780,Per Annum,DIRECTOR OF AFRICAN-AMERICAN MEDIA 459 | "Wild, Clayton S.",Employee,44000,Per Annum,PRESIDENTIAL WRITER 460 | "Wilkinson, Jr., David E.",Employee,100000,Per Annum,"DIRECTOR, OFFICE OF SOCIAL INNOVATION AND CIVIC PARTICIPATION" 461 | "Williams, Sherman A.",Employee,80716,Per Annum,ASSISTANT TO THE EXECUTIVE CLERK 462 | "Winter, Melissa E.",Employee,133320,Per Annum,DEPUTY ASSISTANT TO THE PRESIDENT AND SENIOR ADVISOR TO THE FIRST LADY 463 | "Wong, Jacqueline ",Employee,58075,Per Annum,SENIOR POLICY ANALYST 464 | "Wright, Frank B.",Employee,65000,Per Annum,DEPUTY DIRECTOR FOR FINANCE 465 | "Wu, Alexander P.",Employee,52520,Per Annum,ASSOCIATE DIRECTOR FOR THE MANAGEMENT AND ADMINISTRATION FRONT OFFICE 466 | "Xharda, Klevis ",Employee,42420,Per Annum,EXECUTIVE ASSISTANT 467 | "Yaros, Stephen G.",Employee,42000,Per Annum,STAFF ASSISTANT 468 | "Young, Caitlin E.",Employee,63630,Per Annum,STENOGRAPHER 469 | "Young, Jr., Reginald D.",Employee,69597,Per Annum,SENIOR MANAGEMENT ANALYST 470 | "Young, Kimberly E.",Employee,45000,Per Annum,LEGISLATIVE ASSISTANT 471 | "Young, Stephanie L.",Employee,87870,Per Annum,ASSOCIATE COMMUNICATIONS DIRECTOR 472 | "Young, Valerie A.",Employee,52667,Per Annum,RECORDS MANAGEMENT ANALYST 473 | "Yudelson, Alex R.",Employee,42000,Per Annum,STAFF ASSISTANT 474 | "Zaid, Zaid A.",Detailee,158700,Per Annum,ASSOCIATE COUNSEL 475 | "Zients, Jeffrey D.",Employee,173922,Per Annum,ASSISTANT TO THE PRESIDENT FOR ECONOMIC POLICY AND DIRECTOR OF THE NATIONAL ECONOMIC COUNCIL 476 | -------------------------------------------------------------------------------- /Guided Project- Using Jupyter notebook/Basics.ipynb: -------------------------------------------------------------------------------- 1 | { 2 | "cells": [ 3 | { 4 | "cell_type": "code", 5 | "execution_count": 1, 6 | "metadata": { 7 | "collapsed": false 8 | }, 9 | "outputs": [ 10 | { 11 | "name": "stdout", 12 | "output_type": "stream", 13 | "text": [ 14 | "(474, 5)\n" 15 | ] 16 | } 17 | ], 18 | "source": [ 19 | "import pandas as pd\n", 20 | "white_house = pd.read_csv(\"2015_white_house.csv\")\n", 21 | "print(white_house.shape)" 22 | ] 23 | }, 24 | { 25 | "cell_type": "code", 26 | "execution_count": 4, 27 | "metadata": { 28 | "collapsed": false 29 | }, 30 | "outputs": [ 31 | { 32 | "name": "stdout", 33 | "output_type": "stream", 34 | "text": [ 35 | "Name Zients, Jeffrey D.\n", 36 | "Status Employee\n", 37 | "Salary 173922\n", 38 | "Pay Basis Per Annum\n", 39 | "Position Title ASSISTANT TO THE PRESIDENT FOR ECONOMIC POLICY...\n", 40 | "Name: 473, dtype: object\n" 41 | ] 42 | } 43 | ], 44 | "source": [ 45 | "print(white_house.iloc[-1])" 46 | ] 47 | }, 48 | { 49 | "cell_type": "code", 50 | "execution_count": 3, 51 | "metadata": { 52 | "collapsed": false 53 | }, 54 | "outputs": [ 55 | { 56 | "data": { 57 | "text/html": [ 58 | "
\n", 59 | "\n", 60 | " \n", 61 | " \n", 62 | " \n", 63 | " \n", 64 | " \n", 65 | " \n", 66 | " \n", 67 | " \n", 68 | " \n", 69 | " \n", 70 | " \n", 71 | " \n", 72 | " \n", 73 | " \n", 74 | " \n", 75 | " \n", 76 | " \n", 77 | " \n", 78 | " \n", 79 | " \n", 80 | " \n", 81 | " \n", 82 | " \n", 83 | " \n", 84 | " \n", 85 | " \n", 86 | " \n", 87 | " \n", 88 | " \n", 89 | " \n", 90 | " \n", 91 | " \n", 92 | " \n", 93 | " \n", 94 | " \n", 95 | " \n", 96 | " \n", 97 | " \n", 98 | " \n", 99 | " \n", 100 | " \n", 101 | " \n", 102 | " \n", 103 | " \n", 104 | " \n", 105 | " \n", 106 | " \n", 107 | " \n", 108 | " \n", 109 | " \n", 110 | " \n", 111 | " \n", 112 | " \n", 113 | " \n", 114 | " \n", 115 | " \n", 116 | " \n", 117 | " \n", 118 | " \n", 119 | " \n", 120 | " \n", 121 | " \n", 122 | " \n", 123 | " \n", 124 | " \n", 125 | " \n", 126 | " \n", 127 | " \n", 128 | " \n", 129 | " \n", 130 | " \n", 131 | " \n", 132 | " \n", 133 | " \n", 134 | " \n", 135 | " \n", 136 | " \n", 137 | " \n", 138 | " \n", 139 | " \n", 140 | " \n", 141 | " \n", 142 | " \n", 143 | " \n", 144 | " \n", 145 | " \n", 146 | " \n", 147 | " \n", 148 | " \n", 149 | " \n", 150 | " \n", 151 | " \n", 152 | " \n", 153 | " \n", 154 | " \n", 155 | " \n", 156 | " \n", 157 | " \n", 158 | " \n", 159 | " \n", 160 | " \n", 161 | " \n", 162 | " \n", 163 | " \n", 164 | " \n", 165 | " \n", 166 | " \n", 167 | " \n", 168 | " \n", 169 | " \n", 170 | " \n", 171 | " \n", 172 | " \n", 173 | " \n", 174 | " \n", 175 | " \n", 176 | " \n", 177 | " \n", 178 | " \n", 179 | " \n", 180 | " \n", 181 | " \n", 182 | " \n", 183 | " \n", 184 | " \n", 185 | " \n", 186 | " \n", 187 | " \n", 188 | " \n", 189 | " \n", 190 | " \n", 191 | " \n", 192 | " \n", 193 | " \n", 194 | " \n", 195 | " \n", 196 | " \n", 197 | " \n", 198 | " \n", 199 | " \n", 200 | " \n", 201 | " \n", 202 | " \n", 203 | " \n", 204 | " \n", 205 | " \n", 206 | " \n", 207 | " \n", 208 | " \n", 209 | " \n", 210 | " \n", 211 | " \n", 212 | " \n", 213 | " \n", 214 | " \n", 215 | " \n", 216 | " \n", 217 | " \n", 218 | " \n", 219 | " \n", 220 | " \n", 221 | " \n", 222 | " \n", 223 | " \n", 224 | " \n", 225 | " \n", 226 | " \n", 227 | " \n", 228 | " \n", 229 | " \n", 230 | " \n", 231 | " \n", 232 | " \n", 233 | " \n", 234 | " \n", 235 | " \n", 236 | " \n", 237 | " \n", 238 | " \n", 239 | " \n", 240 | " \n", 241 | " \n", 242 | " \n", 243 | " \n", 244 | " \n", 245 | " \n", 246 | " \n", 247 | " \n", 248 | " \n", 249 | " \n", 250 | " \n", 251 | " \n", 252 | " \n", 253 | " \n", 254 | " \n", 255 | " \n", 256 | " \n", 257 | " \n", 258 | " \n", 259 | " \n", 260 | " \n", 261 | " \n", 262 | " \n", 263 | " \n", 264 | " \n", 265 | " \n", 266 | " \n", 267 | " \n", 268 | " \n", 269 | " \n", 270 | " \n", 271 | " \n", 272 | " \n", 273 | " \n", 274 | " \n", 275 | " \n", 276 | " \n", 277 | " \n", 278 | " \n", 279 | " \n", 280 | " \n", 281 | " \n", 282 | " \n", 283 | " \n", 284 | " \n", 285 | " \n", 286 | " \n", 287 | " \n", 288 | " \n", 289 | " \n", 290 | " \n", 291 | " \n", 292 | " \n", 293 | " \n", 294 | " \n", 295 | " \n", 296 | " \n", 297 | " \n", 298 | " \n", 299 | " \n", 300 | " \n", 301 | " \n", 302 | " \n", 303 | " \n", 304 | " \n", 305 | " \n", 306 | " \n", 307 | " \n", 308 | " \n", 309 | " \n", 310 | " \n", 311 | " \n", 312 | " \n", 313 | " \n", 314 | " \n", 315 | " \n", 316 | " \n", 317 | " \n", 318 | " \n", 319 | " \n", 320 | " \n", 321 | " \n", 322 | " \n", 323 | " \n", 324 | " \n", 325 | " \n", 326 | " \n", 327 | " \n", 328 | " \n", 329 | " \n", 330 | " \n", 331 | " \n", 332 | " \n", 333 | " \n", 334 | " \n", 335 | " \n", 336 | " \n", 337 | " \n", 338 | " \n", 339 | " \n", 340 | " \n", 341 | " \n", 342 | " \n", 343 | " \n", 344 | " \n", 345 | " \n", 346 | " \n", 347 | " \n", 348 | " \n", 349 | " \n", 350 | " \n", 351 | " \n", 352 | " \n", 353 | " \n", 354 | " \n", 355 | " \n", 356 | " \n", 357 | " \n", 358 | " \n", 359 | " \n", 360 | " \n", 361 | " \n", 362 | " \n", 363 | " \n", 364 | " \n", 365 | " \n", 366 | " \n", 367 | " \n", 368 | " \n", 369 | " 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\n", 447 | " \n", 448 | " \n", 449 | " \n", 450 | " \n", 451 | " \n", 452 | " \n", 453 | " \n", 454 | " \n", 455 | " \n", 456 | " \n", 457 | " \n", 458 | " \n", 459 | " \n", 460 | " \n", 461 | " \n", 462 | " \n", 463 | " \n", 464 | " \n", 465 | " \n", 466 | " \n", 467 | " \n", 468 | " \n", 469 | " \n", 470 | " \n", 471 | " \n", 472 | " \n", 473 | " \n", 474 | " \n", 475 | " \n", 476 | " \n", 477 | " \n", 478 | " \n", 479 | " \n", 480 | " \n", 481 | " \n", 482 | " \n", 483 | " \n", 484 | " \n", 485 | " \n", 486 | " \n", 487 | " \n", 488 | " \n", 489 | " \n", 490 | " \n", 491 | " \n", 492 | " \n", 493 | " \n", 494 | " \n", 495 | " \n", 496 | " \n", 497 | " \n", 498 | " \n", 499 | " \n", 500 | " \n", 501 | " \n", 502 | " \n", 503 | " \n", 504 | " \n", 505 | " \n", 506 | " \n", 507 | " \n", 508 | " \n", 509 | " \n", 510 | " \n", 511 | " \n", 512 | " \n", 513 | " \n", 514 | " \n", 515 | " \n", 516 | " \n", 517 | " \n", 518 | " \n", 519 | " \n", 520 | " \n", 521 | " \n", 522 | " \n", 523 | " \n", 524 | " \n", 525 | " \n", 526 | " \n", 527 | " \n", 528 | " \n", 529 | " \n", 530 | " \n", 531 | " \n", 532 | " \n", 533 | " \n", 534 | " \n", 535 | " \n", 536 | " \n", 537 | " \n", 538 | " \n", 539 | " \n", 540 | " \n", 541 | " \n", 542 | " \n", 543 | " \n", 544 | " \n", 545 | " \n", 546 | " \n", 547 | " \n", 548 | " \n", 549 | " \n", 550 | " \n", 551 | " \n", 552 | " \n", 553 | " \n", 554 | " \n", 555 | " \n", 556 | " \n", 557 | " \n", 558 | " \n", 559 | " \n", 560 | "
NameStatusSalaryPay BasisPosition Title
0 Abdullah, Hasan A. Detailee 105960 Per Annum POLICY ADVISOR
1 Abraham, Sabey M. Employee 55000 Per Annum ENERGY AND ENVIRONMENT DIRECTOR FOR PRESIDENTI...
2 Abraham, Yohannes A. Employee 121200 Per Annum SPECIAL ASSISTANT TO THE PRESIDENT AND CHIEF O...
3 Abramson, Jerry E. Employee 155035 Per Annum DEPUTY ASSISTANT TO THE PRESIDENT AND DIRECTOR...
4 Adler, Caroline E. Employee 114000 Per Annum SPECIAL ASSISTANT TO THE PRESIDENT AND DIRECTO...
5 Aiyer, Vikrum D. Detailee 134662 Per Annum SENIOR POLICY ADVISOR
6 Alcantara, Elias Employee 65650 Per Annum ASSOCIATE DIRECTOR OF INTERGOVERNMENTAL AFFAIRS
7 Ali, Mohammed I. Employee 42000 Per Annum STAFF ASSISTANT
8 Allen, Angelica P. Employee 50000 Per Annum SPECIAL ASSISTANT TO THE DIRECTOR OF THE OFFIC...
9 Allen, Elizabeth M. Employee 103000 Per Annum SPECIAL ASSISTANT TO THE PRESIDENT FOR MESSAGE...
10 Allen, Jessica L. Employee 42844 Per Annum PRESS ASSISTANT
11 Allison, Ashley R. Employee 97000 Per Annum DEPUTY DIRECTOR OF PUBLIC ENGAGEMENT
12 Amendolare, Vincent C. Employee 42420 Per Annum ANALYST
13 Amuluru, Uma M. Detailee 116804 Per Annum ASSOCIATE COUNSEL
14 Anderson, Amanda D. Employee 126250 Per Annum SPECIAL ASSISTANT TO THE PRESIDENT AND HOUSE L...
15 Anderson, Charles D. Employee 101000 Per Annum SENIOR ADVISOR FOR THE NATIONAL ECONOMIC COUNCIL
16 Aniskoff, Paulette L. Employee 155035 Per Annum DEPUTY ASSISTANT TO THE PRESIDENT AND DIRECTOR...
17 Ashton, Nathaniel R. Employee 42000 Per Annum STAFF ASSISTANT
18 Austin, Jr., Roy L. Employee 160085 Per Annum DEPUTY ASSISTANT TO THE PRESIDENT FOR THE OFFI...
19 Axios, Ashleigh T. Employee 73225 Per Annum DIGITAL CREATIVE DIRECTOR
20 Babajide, Ayotunde T. Detailee 114480 Per Annum SENIOR POLICY ADVISOR
21 Bae, Yena Employee 44000 Per Annum SENIOR ANALYST AND PROJECT MANAGER
22 Baker, Sarah E. Employee 131805 Per Annum SPECIAL ASSISTANT TO THE PRESIDENT AND ASSOCIA...
23 Bansal, Gaurab Employee 120000 Per Annum DEPUTY ASSISTANT TO THE PRESIDENT AND DEPUTY C...
24 Barnes, Desiree N. Employee 42844 Per Annum PRESS ASSISTANT
25 Bartoloni, Kristen A. Employee 70000 Per Annum DEPUTY DIRECTOR OF RESEARCH
26 Beckford, Kevin F. Employee 42000 Per Annum ANALYST
27 Beliveau, Emmett S. Employee 160085 Per Annum ASSISTANT TO THE PRESIDENT AND DIRECTOR OF THE...
28 Benenati, Frank J. Employee 84840 Per Annum ASSISTANT PRESS SECRETARY
29 Bennett, Tabitha R. Employee 50000 Per Annum PRESS LEAD
..................
444 Vignarajah, Krishanti Employee 90000 Per Annum DIRECTOR OF INTERNATIONAL AFFAIRS AND SENIOR P...
445 Vilfer, Ryan E. Employee 42420 Per Annum STAFF ASSISTANT
446 Vorhaus, David A. Employee 111100 Per Annum SPECIAL ASSISTANT TO THE PRESIDENT AND ADVISOR...
447 Vrazilek, Lauren S. Employee 55000 Per Annum DEPUTY PRESS SECRETARY FOR THE FIRST LADY
448 Wagstaff, Jesica E. Employee 45905 Per Annum LEGISLATIVE ASSISTANT AND ASSISTANT TO THE SEN...
449 Waheed, Manar Employee 80800 Per Annum DEPUTY POLICY DIRECTOR FOR IMMIGRATION
450 Wainscott, Kip F. Detailee 134662 Per Annum SENIOR DIRECTOR OF CABINET AFFAIRS
451 Waldo, Katherine A. Employee 47470 Per Annum TRIP COORDINATOR
452 Wall, Alexander B. Employee 63125 Per Annum DEPUTY DIRECTOR OF ONLINE ENGAGEMENT
453 Walsh, James D. Detailee 171871 Per Annum ASSOCIATE COUNSEL
454 Walsh, Joan L. Employee 160085 Per Annum DEPUTY ASSISTANT TO THE PRESIDENT AND STAFF SE...
455 Wang, Ya W. Employee 85000 Per Annum SPECIAL ASSISTANT AND ADVISOR TO THE CHIEF OF ...
456 Whisenant, Addie M. Employee 78780 Per Annum DIRECTOR OF AFRICAN-AMERICAN MEDIA
457 Wild, Clayton S. Employee 44000 Per Annum PRESIDENTIAL WRITER
458 Wilkinson, Jr., David E. Employee 100000 Per Annum DIRECTOR, OFFICE OF SOCIAL INNOVATION AND CIVI...
459 Williams, Sherman A. Employee 80716 Per Annum ASSISTANT TO THE EXECUTIVE CLERK
460 Winter, Melissa E. Employee 133320 Per Annum DEPUTY ASSISTANT TO THE PRESIDENT AND SENIOR A...
461 Wong, Jacqueline Employee 58075 Per Annum SENIOR POLICY ANALYST
462 Wright, Frank B. Employee 65000 Per Annum DEPUTY DIRECTOR FOR FINANCE
463 Wu, Alexander P. Employee 52520 Per Annum ASSOCIATE DIRECTOR FOR THE MANAGEMENT AND ADMI...
464 Xharda, Klevis Employee 42420 Per Annum EXECUTIVE ASSISTANT
465 Yaros, Stephen G. Employee 42000 Per Annum STAFF ASSISTANT
466 Young, Caitlin E. Employee 63630 Per Annum STENOGRAPHER
467 Young, Jr., Reginald D. Employee 69597 Per Annum SENIOR MANAGEMENT ANALYST
468 Young, Kimberly E. Employee 45000 Per Annum LEGISLATIVE ASSISTANT
469 Young, Stephanie L. Employee 87870 Per Annum ASSOCIATE COMMUNICATIONS DIRECTOR
470 Young, Valerie A. Employee 52667 Per Annum RECORDS MANAGEMENT ANALYST
471 Yudelson, Alex R. Employee 42000 Per Annum STAFF ASSISTANT
472 Zaid, Zaid A. Detailee 158700 Per Annum ASSOCIATE COUNSEL
473 Zients, Jeffrey D. Employee 173922 Per Annum ASSISTANT TO THE PRESIDENT FOR ECONOMIC POLICY...
\n", 561 | "

474 rows × 5 columns

\n", 562 | "
" 563 | ], 564 | "text/plain": [ 565 | " Name Status Salary Pay Basis \\\n", 566 | "0 Abdullah, Hasan A. Detailee 105960 Per Annum \n", 567 | "1 Abraham, Sabey M. Employee 55000 Per Annum \n", 568 | "2 Abraham, Yohannes A. Employee 121200 Per Annum \n", 569 | "3 Abramson, Jerry E. Employee 155035 Per Annum \n", 570 | "4 Adler, Caroline E. Employee 114000 Per Annum \n", 571 | "5 Aiyer, Vikrum D. Detailee 134662 Per Annum \n", 572 | "6 Alcantara, Elias Employee 65650 Per Annum \n", 573 | "7 Ali, Mohammed I. Employee 42000 Per Annum \n", 574 | "8 Allen, Angelica P. Employee 50000 Per Annum \n", 575 | "9 Allen, Elizabeth M. Employee 103000 Per Annum \n", 576 | "10 Allen, Jessica L. Employee 42844 Per Annum \n", 577 | "11 Allison, Ashley R. Employee 97000 Per Annum \n", 578 | "12 Amendolare, Vincent C. Employee 42420 Per Annum \n", 579 | "13 Amuluru, Uma M. Detailee 116804 Per Annum \n", 580 | "14 Anderson, Amanda D. Employee 126250 Per Annum \n", 581 | "15 Anderson, Charles D. Employee 101000 Per Annum \n", 582 | "16 Aniskoff, Paulette L. Employee 155035 Per Annum \n", 583 | "17 Ashton, Nathaniel R. Employee 42000 Per Annum \n", 584 | "18 Austin, Jr., Roy L. Employee 160085 Per Annum \n", 585 | "19 Axios, Ashleigh T. Employee 73225 Per Annum \n", 586 | "20 Babajide, Ayotunde T. Detailee 114480 Per Annum \n", 587 | "21 Bae, Yena Employee 44000 Per Annum \n", 588 | "22 Baker, Sarah E. Employee 131805 Per Annum \n", 589 | "23 Bansal, Gaurab Employee 120000 Per Annum \n", 590 | "24 Barnes, Desiree N. Employee 42844 Per Annum \n", 591 | "25 Bartoloni, Kristen A. Employee 70000 Per Annum \n", 592 | "26 Beckford, Kevin F. Employee 42000 Per Annum \n", 593 | "27 Beliveau, Emmett S. Employee 160085 Per Annum \n", 594 | "28 Benenati, Frank J. Employee 84840 Per Annum \n", 595 | "29 Bennett, Tabitha R. Employee 50000 Per Annum \n", 596 | ".. ... ... ... ... \n", 597 | "444 Vignarajah, Krishanti Employee 90000 Per Annum \n", 598 | "445 Vilfer, Ryan E. Employee 42420 Per Annum \n", 599 | "446 Vorhaus, David A. Employee 111100 Per Annum \n", 600 | "447 Vrazilek, Lauren S. Employee 55000 Per Annum \n", 601 | "448 Wagstaff, Jesica E. Employee 45905 Per Annum \n", 602 | "449 Waheed, Manar Employee 80800 Per Annum \n", 603 | "450 Wainscott, Kip F. Detailee 134662 Per Annum \n", 604 | "451 Waldo, Katherine A. Employee 47470 Per Annum \n", 605 | "452 Wall, Alexander B. Employee 63125 Per Annum \n", 606 | "453 Walsh, James D. Detailee 171871 Per Annum \n", 607 | "454 Walsh, Joan L. Employee 160085 Per Annum \n", 608 | "455 Wang, Ya W. Employee 85000 Per Annum \n", 609 | "456 Whisenant, Addie M. Employee 78780 Per Annum \n", 610 | "457 Wild, Clayton S. Employee 44000 Per Annum \n", 611 | "458 Wilkinson, Jr., David E. Employee 100000 Per Annum \n", 612 | "459 Williams, Sherman A. Employee 80716 Per Annum \n", 613 | "460 Winter, Melissa E. Employee 133320 Per Annum \n", 614 | "461 Wong, Jacqueline Employee 58075 Per Annum \n", 615 | "462 Wright, Frank B. Employee 65000 Per Annum \n", 616 | "463 Wu, Alexander P. Employee 52520 Per Annum \n", 617 | "464 Xharda, Klevis Employee 42420 Per Annum \n", 618 | "465 Yaros, Stephen G. Employee 42000 Per Annum \n", 619 | "466 Young, Caitlin E. Employee 63630 Per Annum \n", 620 | "467 Young, Jr., Reginald D. Employee 69597 Per Annum \n", 621 | "468 Young, Kimberly E. Employee 45000 Per Annum \n", 622 | "469 Young, Stephanie L. Employee 87870 Per Annum \n", 623 | "470 Young, Valerie A. Employee 52667 Per Annum \n", 624 | "471 Yudelson, Alex R. Employee 42000 Per Annum \n", 625 | "472 Zaid, Zaid A. Detailee 158700 Per Annum \n", 626 | "473 Zients, Jeffrey D. Employee 173922 Per Annum \n", 627 | "\n", 628 | " Position Title \n", 629 | "0 POLICY ADVISOR \n", 630 | "1 ENERGY AND ENVIRONMENT DIRECTOR FOR PRESIDENTI... \n", 631 | "2 SPECIAL ASSISTANT TO THE PRESIDENT AND CHIEF O... \n", 632 | "3 DEPUTY ASSISTANT TO THE PRESIDENT AND DIRECTOR... \n", 633 | "4 SPECIAL ASSISTANT TO THE PRESIDENT AND DIRECTO... \n", 634 | "5 SENIOR POLICY ADVISOR \n", 635 | "6 ASSOCIATE DIRECTOR OF INTERGOVERNMENTAL AFFAIRS \n", 636 | "7 STAFF ASSISTANT \n", 637 | "8 SPECIAL ASSISTANT TO THE DIRECTOR OF THE OFFIC... \n", 638 | "9 SPECIAL ASSISTANT TO THE PRESIDENT FOR MESSAGE... \n", 639 | "10 PRESS ASSISTANT \n", 640 | "11 DEPUTY DIRECTOR OF PUBLIC ENGAGEMENT \n", 641 | "12 ANALYST \n", 642 | "13 ASSOCIATE COUNSEL \n", 643 | "14 SPECIAL ASSISTANT TO THE PRESIDENT AND HOUSE L... \n", 644 | "15 SENIOR ADVISOR FOR THE NATIONAL ECONOMIC COUNCIL \n", 645 | "16 DEPUTY ASSISTANT TO THE PRESIDENT AND DIRECTOR... \n", 646 | "17 STAFF ASSISTANT \n", 647 | "18 DEPUTY ASSISTANT TO THE PRESIDENT FOR THE OFFI... \n", 648 | "19 DIGITAL CREATIVE DIRECTOR \n", 649 | "20 SENIOR POLICY ADVISOR \n", 650 | "21 SENIOR ANALYST AND PROJECT MANAGER \n", 651 | "22 SPECIAL ASSISTANT TO THE PRESIDENT AND ASSOCIA... \n", 652 | "23 DEPUTY ASSISTANT TO THE PRESIDENT AND DEPUTY C... \n", 653 | "24 PRESS ASSISTANT \n", 654 | "25 DEPUTY DIRECTOR OF RESEARCH \n", 655 | "26 ANALYST \n", 656 | "27 ASSISTANT TO THE PRESIDENT AND DIRECTOR OF THE... \n", 657 | "28 ASSISTANT PRESS SECRETARY \n", 658 | "29 PRESS LEAD \n", 659 | ".. ... \n", 660 | "444 DIRECTOR OF INTERNATIONAL AFFAIRS AND SENIOR P... \n", 661 | "445 STAFF ASSISTANT \n", 662 | "446 SPECIAL ASSISTANT TO THE PRESIDENT AND ADVISOR... \n", 663 | "447 DEPUTY PRESS SECRETARY FOR THE FIRST LADY \n", 664 | "448 LEGISLATIVE ASSISTANT AND ASSISTANT TO THE SEN... \n", 665 | "449 DEPUTY POLICY DIRECTOR FOR IMMIGRATION \n", 666 | "450 SENIOR DIRECTOR OF CABINET AFFAIRS \n", 667 | "451 TRIP COORDINATOR \n", 668 | "452 DEPUTY DIRECTOR OF ONLINE ENGAGEMENT \n", 669 | "453 ASSOCIATE COUNSEL \n", 670 | "454 DEPUTY ASSISTANT TO THE PRESIDENT AND STAFF SE... \n", 671 | "455 SPECIAL ASSISTANT AND ADVISOR TO THE CHIEF OF ... \n", 672 | "456 DIRECTOR OF AFRICAN-AMERICAN MEDIA \n", 673 | "457 PRESIDENTIAL WRITER \n", 674 | "458 DIRECTOR, OFFICE OF SOCIAL INNOVATION AND CIVI... \n", 675 | "459 ASSISTANT TO THE EXECUTIVE CLERK \n", 676 | "460 DEPUTY ASSISTANT TO THE PRESIDENT AND SENIOR A... \n", 677 | "461 SENIOR POLICY ANALYST \n", 678 | "462 DEPUTY DIRECTOR FOR FINANCE \n", 679 | "463 ASSOCIATE DIRECTOR FOR THE MANAGEMENT AND ADMI... \n", 680 | "464 EXECUTIVE ASSISTANT \n", 681 | "465 STAFF ASSISTANT \n", 682 | "466 STENOGRAPHER \n", 683 | "467 SENIOR MANAGEMENT ANALYST \n", 684 | "468 LEGISLATIVE ASSISTANT \n", 685 | "469 ASSOCIATE COMMUNICATIONS DIRECTOR \n", 686 | "470 RECORDS MANAGEMENT ANALYST \n", 687 | "471 STAFF ASSISTANT \n", 688 | "472 ASSOCIATE COUNSEL \n", 689 | "473 ASSISTANT TO THE PRESIDENT FOR ECONOMIC POLICY... \n", 690 | "\n", 691 | "[474 rows x 5 columns]" 692 | ] 693 | }, 694 | "execution_count": 3, 695 | "metadata": {}, 696 | "output_type": "execute_result" 697 | } 698 | ], 699 | "source": [ 700 | "white_house" 701 | ] 702 | }, 703 | { 704 | "cell_type": "code", 705 | "execution_count": null, 706 | "metadata": { 707 | "collapsed": true 708 | }, 709 | "outputs": [], 710 | "source": [] 711 | } 712 | ], 713 | "metadata": { 714 | "kernelspec": { 715 | "display_name": "Python 3", 716 | "language": "python", 717 | "name": "python3" 718 | }, 719 | "language_info": { 720 | "codemirror_mode": { 721 | "name": "ipython", 722 | "version": 3 723 | }, 724 | "file_extension": ".py", 725 | "mimetype": "text/x-python", 726 | "name": "python", 727 | "nbconvert_exporter": "python", 728 | "pygments_lexer": "ipython3", 729 | "version": "3.4.3" 730 | } 731 | }, 732 | "nbformat": 4, 733 | "nbformat_minor": 0 734 | } 735 | -------------------------------------------------------------------------------- /Guided Project- Visualizing Pixar's Roller Coaster/PixarMovies.csv: -------------------------------------------------------------------------------- 1 | Year Released,Movie,Length,RT Score,IMDB Score,Metacritic Score,Opening Weekend,Worldwide Gross,Domestic Gross,Adjusted Domestic Gross,International Gross,Domestic %,International %,Production Budget,Oscars Nominated,Oscars Won 2 | 1995,Toy Story,81,100,8.3,92,29.14,362,191.8,356.21,170.2,52.98%,47.02%,30,3,0 3 | 1998,A Bug's Life,96,92,7.2,77,33.26,363.4,162.8,277.18,200.6,44.80%,55.20%,45,1,0 4 | 1999,Toy Story 2,92,100,7.9,88,57.39,485,245.9,388.43,239.2,50.70%,49.32%,90,1,0 5 | 2001,"Monsters, Inc.",90,96,8.1,78,62.58,528.8,255.9,366.12,272.9,48.39%,51.61%,115,3,1 6 | 2003,Finding Nemo,104,99,8.2,90,70.25,895.6,339.7,457.46,555.9,37.93%,62.07%,94,4,1 7 | 2004,The Incredibles,115,97,8,90,70.47,631.4,261.4,341.28,370,41.40%,58.60%,92,4,2 8 | 2006,Cars,116,74,7.2,73,60.12,462,244.1,302.59,217.9,52.84%,47.16%,70,2,0 9 | 2007,Ratatouille,111,96,8,96,47,623.7,206.4,243.65,417.3,33.09%,66.91%,150,5,1 10 | 2008,WALL-E,97,96,8.4,94,63.1,521.3,223.8,253.11,297.5,42.93%,57.07%,180,6,1 11 | 2009,Up,96,98,8.3,88,68.11,731.3,293,318.9,438.3,40.07%,59.93%,175,5,2 12 | 2010,Toy Story 3,103,99,8.4,92,110.31,1063.2,415,423.88,648.2,39.03%,60.97%,200,5,2 13 | 2011,Cars 2,113,39,6.3,57,109,559.9,191.5,194.43,368.4,34.20%,65.80%,200,0,0 14 | 2012,Brave,100,78,7.2,69,66.3,539,237.3,243.39,301.7,44.03%,55.97%,185,1,1 15 | 2013,Monsters University,107,78,7.4,65,82.43,743.6,268.5,269.59,475.1,36.11%,63.89%,200,0,0 16 | 2015,Inside Out,102,98,8.8,93,90.4,677.1,340.5,340.5,336.6,50.29%,49.71%,175,NA,NA -------------------------------------------------------------------------------- /Guided Project- Working with a SQLite database/area.py: -------------------------------------------------------------------------------- 1 | import sqlite3 2 | import pandas as pd 3 | 4 | conn = sqlite3.connect('factbook.db') 5 | c = conn.cursor() 6 | 7 | c.execute('SELECT SUM(area_land) FROM facts WHERE area_land != "";') 8 | d = c.fetchall() 9 | area_land = d[0][0] 10 | 11 | c.execute('SELECT SUM(area_water) FROM facts WHERE area_water != "";') 12 | e = c.fetchall() 13 | area_water = e[0][0] 14 | 15 | print(area_land/float(area_water)) -------------------------------------------------------------------------------- /Guided Project- Working with a SQLite database/factbook.db: -------------------------------------------------------------------------------- https://raw.githubusercontent.com/pmk2109/DataQuest/38e3fc36a0f7cd960363fff8157836f590b973a4/Guided Project- Working with a SQLite database/factbook.db -------------------------------------------------------------------------------- /Guided Project- Working with a SQLite database/growth.py: -------------------------------------------------------------------------------- 1 | import pandas as pd 2 | import sqlite3 3 | import math 4 | 5 | conn = sqlite3.connect('factbook.db') 6 | 7 | df = pd.read_sql_query('SELECT * FROM facts', conn) 8 | df_clean = df.dropna(axis=0) 9 | df_clean = df_clean[df_clean['area_land']>0] 10 | 11 | growth_rate = df_clean['population_growth'] 12 | init_pop = df_clean['population'] 13 | 14 | def compound_growth_rate(pop, rate): 15 | return pop*math.e**((rate/100)*35) 16 | 17 | df_clean['pop2050'] = compound_growth_rate(init_pop, growth_rate) 18 | 19 | df_clean_sort_pop2050 = df_clean.sort('pop2050', ascending=False) 20 | print(df_clean_sort_pop2050[['name','population','pop2050']][:10]) 21 | -------------------------------------------------------------------------------- /Guided Project- Working with a SQLite database/query.py: -------------------------------------------------------------------------------- 1 | import sqlite3 2 | import pandas as pd 3 | 4 | conn = sqlite3.connect('factbook.db') 5 | 6 | c = conn.cursor() 7 | #type my sql query here 8 | c.execute('SELECT name FROM facts ORDER BY population LIMIT 10;') 9 | print(c.fetchall()) 10 | -------------------------------------------------------------------------------- /README.md: -------------------------------------------------------------------------------- 1 | # DataQuest 2 | projects from dataquest.io 3 | --------------------------------------------------------------------------------