Common/shared_datasets/titanic.csv

+PassengerId,Survived,Pclass,Name,Sex,Age,SibSp,Parch,Ticket,Fare,Cabin,Embarked
+1,0,3,"Braund, Mr. Owen Harris",male,22,1,0,A/5 21171,7.25,,S
+2,1,1,"Cumings, Mrs. John Bradley (Florence Briggs Thayer)",female,38,1,0,PC 17599,71.2833,C85,C
+3,1,3,"Heikkinen, Miss. Laina",female,26,0,0,STON/O2. 3101282,7.925,,S
+4,1,1,"Futrelle, Mrs. Jacques Heath (Lily May Peel)",female,35,1,0,113803,53.1,C123,S
+5,0,3,"Allen, Mr. William Henry",male,35,0,0,373450,8.05,,S
+6,0,3,"Moran, Mr. James",male,,0,0,330877,8.4583,,Q
+7,0,1,"McCarthy, Mr. Timothy J",male,54,0,0,17463,51.8625,E46,S
+8,0,3,"Palsson, Master. Gosta Leonard",male,2,3,1,349909,21.075,,S
+9,1,3,"Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)",female,27,0,2,347742,11.1333,,S
+10,1,2,"Nasser, Mrs. Nicholas (Adele Achem)",female,14,1,0,237736,30.0708,,C
+11,1,3,"Sandstrom, Miss. Marguerite Rut",female,4,1,1,PP 9549,16.7,G6,S
+12,1,1,"Bonnell, Miss. Elizabeth",female,58,0,0,113783,26.55,C103,S
+13,0,3,"Saundercock, Mr. William Henry",male,20,0,0,A/5. 2151,8.05,,S
+14,0,3,"Andersson, Mr. Anders Johan",male,39,1,5,347082,31.275,,S
+15,0,3,"Vestrom, Miss. Hulda Amanda Adolfina",female,14,0,0,350406,7.8542,,S
+16,1,2,"Hewlett, Mrs. (Mary D Kingcome) ",female,55,0,0,248706,16,,S
+17,0,3,"Rice, Master. Eugene",male,2,4,1,382652,29.125,,Q
+18,1,2,"Williams, Mr. Charles Eugene",male,,0,0,244373,13,,S
+19,0,3,"Vander Planke, Mrs. Julius (Emelia Maria Vandemoortele)",female,31,1,0,345763,18,,S
+20,1,3,"Masselmani, Mrs. Fatima",female,,0,0,2649,7.225,,C
+21,0,2,"Fynney, Mr. Joseph J",male,35,0,0,239865,26,,S
+22,1,2,"Beesley, Mr. Lawrence",male,34,0,0,248698,13,D56,S
+23,1,3,"McGowan, Miss. Anna ""Annie""",female,15,0,0,330923,8.0292,,Q
+24,1,1,"Sloper, Mr. William Thompson",male,28,0,0,113788,35.5,A6,S
+25,0,3,"Palsson, Miss. Torborg Danira",female,8,3,1,349909,21.075,,S
+26,1,3,"Asplund, Mrs. Carl Oscar (Selma Augusta Emilia Johansson)",female,38,1,5,347077,31.3875,,S
+27,0,3,"Emir, Mr. Farred Chehab",male,,0,0,2631,7.225,,C
+28,0,1,"Fortune, Mr. Charles Alexander",male,19,3,2,19950,263,C23 C25 C27,S
+29,1,3,"O'Dwyer, Miss. Ellen ""Nellie""",female,,0,0,330959,7.8792,,Q
+30,0,3,"Todoroff, Mr. Lalio",male,,0,0,349216,7.8958,,S
+31,0,1,"Uruchurtu, Don. Manuel E",male,40,0,0,PC 17601,27.7208,,C
+32,1,1,"Spencer, Mrs. William Augustus (Marie Eugenie)",female,,1,0,PC 17569,146.5208,B78,C
+33,1,3,"Glynn, Miss. Mary Agatha",female,,0,0,335677,7.75,,Q
+34,0,2,"Wheadon, Mr. Edward H",male,66,0,0,C.A. 24579,10.5,,S
+35,0,1,"Meyer, Mr. Edgar Joseph",male,28,1,0,PC 17604,82.1708,,C
+36,0,1,"Holverson, Mr. Alexander Oskar",male,42,1,0,113789,52,,S
+37,1,3,"Mamee, Mr. Hanna",male,,0,0,2677,7.2292,,C
+38,0,3,"Cann, Mr. Ernest Charles",male,21,0,0,A./5. 2152,8.05,,S
+39,0,3,"Vander Planke, Miss. Augusta Maria",female,18,2,0,345764,18,,S
+40,1,3,"Nicola-Yarred, Miss. Jamila",female,14,1,0,2651,11.2417,,C
+41,0,3,"Ahlin, Mrs. Johan (Johanna Persdotter Larsson)",female,40,1,0,7546,9.475,,S
+42,0,2,"Turpin, Mrs. William John Robert (Dorothy Ann Wonnacott)",female,27,1,0,11668,21,,S
+43,0,3,"Kraeff, Mr. Theodor",male,,0,0,349253,7.8958,,C
+44,1,2,"Laroche, Miss. Simonne Marie Anne Andree",female,3,1,2,SC/Paris 2123,41.5792,,C
+45,1,3,"Devaney, Miss. Margaret Delia",female,19,0,0,330958,7.8792,,Q
+46,0,3,"Rogers, Mr. William John",male,,0,0,S.C./A.4. 23567,8.05,,S
+47,0,3,"Lennon, Mr. Denis",male,,1,0,370371,15.5,,Q
+48,1,3,"O'Driscoll, Miss. Bridget",female,,0,0,14311,7.75,,Q
+49,0,3,"Samaan, Mr. Youssef",male,,2,0,2662,21.6792,,C
+50,0,3,"Arnold-Franchi, Mrs. Josef (Josefine Franchi)",female,18,1,0,349237,17.8,,S
+51,0,3,"Panula, Master. Juha Niilo",male,7,4,1,3101295,39.6875,,S
+52,0,3,"Nosworthy, Mr. Richard Cater",male,21,0,0,A/4. 39886,7.8,,S
+53,1,1,"Harper, Mrs. Henry Sleeper (Myna Haxtun)",female,49,1,0,PC 17572,76.7292,D33,C
+54,1,2,"Faunthorpe, Mrs. Lizzie (Elizabeth Anne Wilkinson)",female,29,1,0,2926,26,,S
+55,0,1,"Ostby, Mr. Engelhart Cornelius",male,65,0,1,113509,61.9792,B30,C
+56,1,1,"Woolner, Mr. Hugh",male,,0,0,19947,35.5,C52,S
+57,1,2,"Rugg, Miss. Emily",female,21,0,0,C.A. 31026,10.5,,S
+58,0,3,"Novel, Mr. Mansouer",male,28.5,0,0,2697,7.2292,,C
+59,1,2,"West, Miss. Constance Mirium",female,5,1,2,C.A. 34651,27.75,,S
+60,0,3,"Goodwin, Master. William Frederick",male,11,5,2,CA 2144,46.9,,S
+61,0,3,"Sirayanian, Mr. Orsen",male,22,0,0,2669,7.2292,,C
+62,1,1,"Icard, Miss. Amelie",female,38,0,0,113572,80,B28,
+63,0,1,"Harris, Mr. Henry Birkhardt",male,45,1,0,36973,83.475,C83,S
+64,0,3,"Skoog, Master. Harald",male,4,3,2,347088,27.9,,S
+65,0,1,"Stewart, Mr. Albert A",male,,0,0,PC 17605,27.7208,,C
+66,1,3,"Moubarek, Master. Gerios",male,,1,1,2661,15.2458,,C
+67,1,2,"Nye, Mrs. (Elizabeth Ramell)",female,29,0,0,C.A. 29395,10.5,F33,S
+68,0,3,"Crease, Mr. Ernest James",male,19,0,0,S.P. 3464,8.1583,,S
+69,1,3,"Andersson, Miss. Erna Alexandra",female,17,4,2,3101281,7.925,,S
+70,0,3,"Kink, Mr. Vincenz",male,26,2,0,315151,8.6625,,S
+71,0,2,"Jenkin, Mr. Stephen Curnow",male,32,0,0,C.A. 33111,10.5,,S
+72,0,3,"Goodwin, Miss. Lillian Amy",female,16,5,2,CA 2144,46.9,,S
+73,0,2,"Hood, Mr. Ambrose Jr",male,21,0,0,S.O.C. 14879,73.5,,S
+74,0,3,"Chronopoulos, Mr. Apostolos",male,26,1,0,2680,14.4542,,C
+75,1,3,"Bing, Mr. Lee",male,32,0,0,1601,56.4958,,S
+76,0,3,"Moen, Mr. Sigurd Hansen",male,25,0,0,348123,7.65,F G73,S
+77,0,3,"Staneff, Mr. Ivan",male,,0,0,349208,7.8958,,S
+78,0,3,"Moutal, Mr. Rahamin Haim",male,,0,0,374746,8.05,,S
+79,1,2,"Caldwell, Master. Alden Gates",male,0.83,0,2,248738,29,,S
+80,1,3,"Dowdell, Miss. Elizabeth",female,30,0,0,364516,12.475,,S
+81,0,3,"Waelens, Mr. Achille",male,22,0,0,345767,9,,S
+82,1,3,"Sheerlinck, Mr. Jan Baptist",male,29,0,0,345779,9.5,,S
+83,1,3,"McDermott, Miss. Brigdet Delia",female,,0,0,330932,7.7875,,Q
+84,0,1,"Carrau, Mr. Francisco M",male,28,0,0,113059,47.1,,S
+85,1,2,"Ilett, Miss. Bertha",female,17,0,0,SO/C 14885,10.5,,S
+86,1,3,"Backstrom, Mrs. Karl Alfred (Maria Mathilda Gustafsson)",female,33,3,0,3101278,15.85,,S
+87,0,3,"Ford, Mr. William Neal",male,16,1,3,W./C. 6608,34.375,,S
+88,0,3,"Slocovski, Mr. Selman Francis",male,,0,0,SOTON/OQ 392086,8.05,,S
+89,1,1,"Fortune, Miss. Mabel Helen",female,23,3,2,19950,263,C23 C25 C27,S
+90,0,3,"Celotti, Mr. Francesco",male,24,0,0,343275,8.05,,S
+91,0,3,"Christmann, Mr. Emil",male,29,0,0,343276,8.05,,S
+92,0,3,"Andreasson, Mr. Paul Edvin",male,20,0,0,347466,7.8542,,S
+93,0,1,"Chaffee, Mr. Herbert Fuller",male,46,1,0,W.E.P. 5734,61.175,E31,S
+94,0,3,"Dean, Mr. Bertram Frank",male,26,1,2,C.A. 2315,20.575,,S
+95,0,3,"Coxon, Mr. Daniel",male,59,0,0,364500,7.25,,S
+96,0,3,"Shorney, Mr. Charles Joseph",male,,0,0,374910,8.05,,S
+97,0,1,"Goldschmidt, Mr. George B",male,71,0,0,PC 17754,34.6542,A5,C
+98,1,1,"Greenfield, Mr. William Bertram",male,23,0,1,PC 17759,63.3583,D10 D12,C
+99,1,2,"Doling, Mrs. John T (Ada Julia Bone)",female,34,0,1,231919,23,,S
+100,0,2,"Kantor, Mr. Sinai",male,34,1,0,244367,26,,S
+101,0,3,"Petranec, Miss. Matilda",female,28,0,0,349245,7.8958,,S
+102,0,3,"Petroff, Mr. Pastcho (""Pentcho"")",male,,0,0,349215,7.8958,,S
+103,0,1,"White, Mr. Richard Frasar",male,21,0,1,35281,77.2875,D26,S
+104,0,3,"Johansson, Mr. Gustaf Joel",male,33,0,0,7540,8.6542,,S
+105,0,3,"Gustafsson, Mr. Anders Vilhelm",male,37,2,0,3101276,7.925,,S
+106,0,3,"Mionoff, Mr. Stoytcho",male,28,0,0,349207,7.8958,,S
+107,1,3,"Salkjelsvik, Miss. Anna Kristine",female,21,0,0,343120,7.65,,S
+108,1,3,"Moss, Mr. Albert Johan",male,,0,0,312991,7.775,,S
+109,0,3,"Rekic, Mr. Tido",male,38,0,0,349249,7.8958,,S
+110,1,3,"Moran, Miss. Bertha",female,,1,0,371110,24.15,,Q
+111,0,1,"Porter, Mr. Walter Chamberlain",male,47,0,0,110465,52,C110,S
+112,0,3,"Zabour, Miss. Hileni",female,14.5,1,0,2665,14.4542,,C
+113,0,3,"Barton, Mr. David John",male,22,0,0,324669,8.05,,S
+114,0,3,"Jussila, Miss. Katriina",female,20,1,0,4136,9.825,,S
+115,0,3,"Attalah, Miss. Malake",female,17,0,0,2627,14.4583,,C
+116,0,3,"Pekoniemi, Mr. Edvard",male,21,0,0,STON/O 2. 3101294,7.925,,S
+117,0,3,"Connors, Mr. Patrick",male,70.5,0,0,370369,7.75,,Q
+118,0,2,"Turpin, Mr. William John Robert",male,29,1,0,11668,21,,S
+119,0,1,"Baxter, Mr. Quigg Edmond",male,24,0,1,PC 17558,247.5208,B58 B60,C
+120,0,3,"Andersson, Miss. Ellis Anna Maria",female,2,4,2,347082,31.275,,S
+121,0,2,"Hickman, Mr. Stanley George",male,21,2,0,S.O.C. 14879,73.5,,S
+122,0,3,"Moore, Mr. Leonard Charles",male,,0,0,A4. 54510,8.05,,S
+123,0,2,"Nasser, Mr. Nicholas",male,32.5,1,0,237736,30.0708,,C
+124,1,2,"Webber, Miss. Susan",female,32.5,0,0,27267,13,E101,S
+125,0,1,"White, Mr. Percival Wayland",male,54,0,1,35281,77.2875,D26,S
+126,1,3,"Nicola-Yarred, Master. Elias",male,12,1,0,2651,11.2417,,C
+127,0,3,"McMahon, Mr. Martin",male,,0,0,370372,7.75,,Q
+128,1,3,"Madsen, Mr. Fridtjof Arne",male,24,0,0,C 17369,7.1417,,S
+129,1,3,"Peter, Miss. Anna",female,,1,1,2668,22.3583,F E69,C
+130,0,3,"Ekstrom, Mr. Johan",male,45,0,0,347061,6.975,,S
+131,0,3,"Drazenoic, Mr. Jozef",male,33,0,0,349241,7.8958,,C
+132,0,3,"Coelho, Mr. Domingos Fernandeo",male,20,0,0,SOTON/O.Q. 3101307,7.05,,S
+133,0,3,"Robins, Mrs. Alexander A (Grace Charity Laury)",female,47,1,0,A/5. 3337,14.5,,S
+134,1,2,"Weisz, Mrs. Leopold (Mathilde Francoise Pede)",female,29,1,0,228414,26,,S
+135,0,2,"Sobey, Mr. Samuel James Hayden",male,25,0,0,C.A. 29178,13,,S
+136,0,2,"Richard, Mr. Emile",male,23,0,0,SC/PARIS 2133,15.0458,,C
+137,1,1,"Newsom, Miss. Helen Monypeny",female,19,0,2,11752,26.2833,D47,S
+138,0,1,"Futrelle, Mr. Jacques Heath",male,37,1,0,113803,53.1,C123,S
+139,0,3,"Osen, Mr. Olaf Elon",male,16,0,0,7534,9.2167,,S
+140,0,1,"Giglio, Mr. Victor",male,24,0,0,PC 17593,79.2,B86,C
+141,0,3,"Boulos, Mrs. Joseph (Sultana)",female,,0,2,2678,15.2458,,C
+142,1,3,"Nysten, Miss. Anna Sofia",female,22,0,0,347081,7.75,,S
+143,1,3,"Hakkarainen, Mrs. Pekka Pietari (Elin Matilda Dolck)",female,24,1,0,STON/O2. 3101279,15.85,,S
+144,0,3,"Burke, Mr. Jeremiah",male,19,0,0,365222,6.75,,Q
+145,0,2,"Andrew, Mr. Edgardo Samuel",male,18,0,0,231945,11.5,,S
+146,0,2,"Nicholls, Mr. Joseph Charles",male,19,1,1,C.A. 33112,36.75,,S
+147,1,3,"Andersson, Mr. August Edvard (""Wennerstrom"")",male,27,0,0,350043,7.7958,,S
+148,0,3,"Ford, Miss. Robina Maggie ""Ruby""",female,9,2,2,W./C. 6608,34.375,,S
+149,0,2,"Navratil, Mr. Michel (""Louis M Hoffman"")",male,36.5,0,2,230080,26,F2,S
+150,0,2,"Byles, Rev. Thomas Roussel Davids",male,42,0,0,244310,13,,S
+151,0,2,"Bateman, Rev. Robert James",male,51,0,0,S.O.P. 1166,12.525,,S
+152,1,1,"Pears, Mrs. Thomas (Edith Wearne)",female,22,1,0,113776,66.6,C2,S
+153,0,3,"Meo, Mr. Alfonzo",male,55.5,0,0,A.5. 11206,8.05,,S
+154,0,3,"van Billiard, Mr. Austin Blyler",male,40.5,0,2,A/5. 851,14.5,,S
+155,0,3,"Olsen, Mr. Ole Martin",male,,0,0,Fa 265302,7.3125,,S
+156,0,1,"Williams, Mr. Charles Duane",male,51,0,1,PC 17597,61.3792,,C
+157,1,3,"Gilnagh, Miss. Katherine ""Katie""",female,16,0,0,35851,7.7333,,Q
+158,0,3,"Corn, Mr. Harry",male,30,0,0,SOTON/OQ 392090,8.05,,S
+159,0,3,"Smiljanic, Mr. Mile",male,,0,0,315037,8.6625,,S
+160,0,3,"Sage, Master. Thomas Henry",male,,8,2,CA. 2343,69.55,,S
+161,0,3,"Cribb, Mr. John Hatfield",male,44,0,1,371362,16.1,,S
+162,1,2,"Watt, Mrs. James (Elizabeth ""Bessie"" Inglis Milne)",female,40,0,0,C.A. 33595,15.75,,S
+163,0,3,"Bengtsson, Mr. John Viktor",male,26,0,0,347068,7.775,,S
+164,0,3,"Calic, Mr. Jovo",male,17,0,0,315093,8.6625,,S
+165,0,3,"Panula, Master. Eino Viljami",male,1,4,1,3101295,39.6875,,S
+166,1,3,"Goldsmith, Master. Frank John William ""Frankie""",male,9,0,2,363291,20.525,,S
+167,1,1,"Chibnall, Mrs. (Edith Martha Bowerman)",female,,0,1,113505,55,E33,S
+168,0,3,"Skoog, Mrs. William (Anna Bernhardina Karlsson)",female,45,1,4,347088,27.9,,S
+169,0,1,"Baumann, Mr. John D",male,,0,0,PC 17318,25.925,,S
+170,0,3,"Ling, Mr. Lee",male,28,0,0,1601,56.4958,,S
+171,0,1,"Van der hoef, Mr. Wyckoff",male,61,0,0,111240,33.5,B19,S
+172,0,3,"Rice, Master. Arthur",male,4,4,1,382652,29.125,,Q
+173,1,3,"Johnson, Miss. Eleanor Ileen",female,1,1,1,347742,11.1333,,S
+174,0,3,"Sivola, Mr. Antti Wilhelm",male,21,0,0,STON/O 2. 3101280,7.925,,S
+175,0,1,"Smith, Mr. James Clinch",male,56,0,0,17764,30.6958,A7,C
+176,0,3,"Klasen, Mr. Klas Albin",male,18,1,1,350404,7.8542,,S
+177,0,3,"Lefebre, Master. Henry Forbes",male,,3,1,4133,25.4667,,S
+178,0,1,"Isham, Miss. Ann Elizabeth",female,50,0,0,PC 17595,28.7125,C49,C
+179,0,2,"Hale, Mr. Reginald",male,30,0,0,250653,13,,S
+180,0,3,"Leonard, Mr. Lionel",male,36,0,0,LINE,0,,S
+181,0,3,"Sage, Miss. Constance Gladys",female,,8,2,CA. 2343,69.55,,S
+182,0,2,"Pernot, Mr. Rene",male,,0,0,SC/PARIS 2131,15.05,,C
+183,0,3,"Asplund, Master. Clarence Gustaf Hugo",male,9,4,2,347077,31.3875,,S
+184,1,2,"Becker, Master. Richard F",male,1,2,1,230136,39,F4,S
+185,1,3,"Kink-Heilmann, Miss. Luise Gretchen",female,4,0,2,315153,22.025,,S
+186,0,1,"Rood, Mr. Hugh Roscoe",male,,0,0,113767,50,A32,S
+187,1,3,"O'Brien, Mrs. Thomas (Johanna ""Hannah"" Godfrey)",female,,1,0,370365,15.5,,Q
+188,1,1,"Romaine, Mr. Charles Hallace (""Mr C Rolmane"")",male,45,0,0,111428,26.55,,S
+189,0,3,"Bourke, Mr. John",male,40,1,1,364849,15.5,,Q
+190,0,3,"Turcin, Mr. Stjepan",male,36,0,0,349247,7.8958,,S
+191,1,2,"Pinsky, Mrs. (Rosa)",female,32,0,0,234604,13,,S
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+193,1,3,"Andersen-Jensen, Miss. Carla Christine Nielsine",female,19,1,0,350046,7.8542,,S
+194,1,2,"Navratil, Master. Michel M",male,3,1,1,230080,26,F2,S
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+196,1,1,"Lurette, Miss. Elise",female,58,0,0,PC 17569,146.5208,B80,C
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+198,0,3,"Olsen, Mr. Karl Siegwart Andreas",male,42,0,1,4579,8.4042,,S
+199,1,3,"Madigan, Miss. Margaret ""Maggie""",female,,0,0,370370,7.75,,Q
+200,0,2,"Yrois, Miss. Henriette (""Mrs Harbeck"")",female,24,0,0,248747,13,,S
+201,0,3,"Vande Walle, Mr. Nestor Cyriel",male,28,0,0,345770,9.5,,S
+202,0,3,"Sage, Mr. Frederick",male,,8,2,CA. 2343,69.55,,S
+203,0,3,"Johanson, Mr. Jakob Alfred",male,34,0,0,3101264,6.4958,,S
+204,0,3,"Youseff, Mr. Gerious",male,45.5,0,0,2628,7.225,,C
+205,1,3,"Cohen, Mr. Gurshon ""Gus""",male,18,0,0,A/5 3540,8.05,,S
+206,0,3,"Strom, Miss. Telma Matilda",female,2,0,1,347054,10.4625,G6,S
+207,0,3,"Backstrom, Mr. Karl Alfred",male,32,1,0,3101278,15.85,,S
+208,1,3,"Albimona, Mr. Nassef Cassem",male,26,0,0,2699,18.7875,,C
+209,1,3,"Carr, Miss. Helen ""Ellen""",female,16,0,0,367231,7.75,,Q
+210,1,1,"Blank, Mr. Henry",male,40,0,0,112277,31,A31,C
+211,0,3,"Ali, Mr. Ahmed",male,24,0,0,SOTON/O.Q. 3101311,7.05,,S
+212,1,2,"Cameron, Miss. Clear Annie",female,35,0,0,F.C.C. 13528,21,,S
+213,0,3,"Perkin, Mr. John Henry",male,22,0,0,A/5 21174,7.25,,S
+214,0,2,"Givard, Mr. Hans Kristensen",male,30,0,0,250646,13,,S
+215,0,3,"Kiernan, Mr. Philip",male,,1,0,367229,7.75,,Q
+216,1,1,"Newell, Miss. Madeleine",female,31,1,0,35273,113.275,D36,C
+217,1,3,"Honkanen, Miss. Eliina",female,27,0,0,STON/O2. 3101283,7.925,,S
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+883,0,3,"Dahlberg, Miss. Gerda Ulrika",female,22,0,0,7552,10.5167,,S
+884,0,2,"Banfield, Mr. Frederick James",male,28,0,0,C.A./SOTON 34068,10.5,,S
+885,0,3,"Sutehall, Mr. Henry Jr",male,25,0,0,SOTON/OQ 392076,7.05,,S
+886,0,3,"Rice, Mrs. William (Margaret Norton)",female,39,0,5,382652,29.125,,Q
+887,0,2,"Montvila, Rev. Juozas",male,27,0,0,211536,13,,S
+888,1,1,"Graham, Miss. Margaret Edith",female,19,0,0,112053,30,B42,S
+889,0,3,"Johnston, Miss. Catherine Helen ""Carrie""",female,,1,2,W./C. 6607,23.45,,S
+890,1,1,"Behr, Mr. Karl Howell",male,26,0,0,111369,30,C148,C
+891,0,3,"Dooley, Mr. Patrick",male,32,0,0,370376,7.75,,Q

f22/andy_lec_notes/lec37_Dec07_Plotting2/lec36_plotting2_850.ipynb

-%% Cell type:code id: tags:
-
-``` python
-# ignore this cell (it's just to make certain text red later, but you don't need to understand it).
-from IPython.core.display import display, HTML
-display(HTML('<style>em { color: red; }</style> <style>.container { width:100% !important; }</style>'))
-```
-
-%% Output
-
-
-%% Cell type:code id: tags:
-
-``` python
-import pandas as pd
-from pandas import DataFrame, Series
-
-import sqlite3
-import os
-
-import matplotlib
-from matplotlib import pyplot as plt
-
-import requests
-matplotlib.rcParams["font.size"] = 12
-```
-
-%% Cell type:markdown id: tags:
-
-### IRIS dataset: http://archive.ics.uci.edu/ml/datasets/iris
-- This set of data is used in beginning Machine Learning Courses
-- You can train a ML algorithm to use the values to predict the class of iris
-- Dataset link: https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data
-
-%% Cell type:code id: tags:
-
-``` python
-# Warmup 1:  Requests and file writing
-
-# use requests to get this file  "https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data"
-response = requests.get("https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data")
-
-# check that the request was successful
-response.raise_for_status()
-
-# open a file called "iris.csv" for writing the data locally to avoid spamming their server
-file_obj = open("iris.csv", "w")
-
-# write the text of response to the file object
-file_obj.write(response.text)
-
-# close the file object
-file_obj.close()
-
-# Look at the file you downloaded. What's wrong with it?
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# Warmup 2:  Making a DataFrame
-
-# read the "iris.csv" file into a Pandas dataframe
-
-# display the head of the data frame
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# Warmup 3: Our CSV file has no header....let's add column names.
-#           Refer to the documentation: https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html
-
-# Attribute Information:
-# 1. sepal length in cm
-# 2. sepal width in cm
-# 3. petal length in cm
-# 4. petal width in cm
-# 5. class: Iris Setosa, Iris Versicolour, Iris Virginica
-
-# These should be our headers ["sep-length", "sep-width", "pet-length", "pet-width", "class"]
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# Warmup 4: Connect to our database version of this data
-iris_conn = sqlite3.connect("iris-flowers.db")
-
-# find out the name of the table
-pd.read_sql("SELECT * FROM sqlite_master WHERE type='table'", iris_conn)
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# Warmup 5: Using SQL, get the 10 'Iris-setosa' flowers with the longest sepal length.
-#           Break any ties by ordering by the shortest sepal width.
-
-pd.read_sql("""
-
-""", iris_conn)
-```
-
-%% Cell type:markdown id: tags:
-
-# Lecture 36:  Scatter Plots
-**Learning Objectives**
-- Set the marker, color, and size of scatter plot data
-- Calculate correlation between DataFrame columns
-- Use subplots to group scatterplot data
-
-%% Cell type:markdown id: tags:
-
-## Set the marker, color, and size of scatter plot data
-
-To start, let's look at some made-up data about Trees.
-The city of Madison maintains a database of all the trees they care for.
-
-%% Cell type:code id: tags:
-
-``` python
-trees = [
-    {"age": 1, "height": 1.5, "diameter": 0.8},
-    {"age": 1, "height": 1.9, "diameter": 1.2},
-    {"age": 1, "height": 1.8, "diameter": 1.4},
-    {"age": 2, "height": 1.8, "diameter": 0.9},
-    {"age": 2, "height": 2.5, "diameter": 1.5},
-    {"age": 2, "height": 3, "diameter": 1.8},
-    {"age": 2, "height": 2.9, "diameter": 1.7},
-    {"age": 3, "height": 3.2, "diameter": 2.1},
-    {"age": 3, "height": 3, "diameter": 2},
-    {"age": 3, "height": 2.4, "diameter": 2.2},
-    {"age": 2, "height": 3.1, "diameter": 2.9},
-    {"age": 4, "height": 2.5, "diameter": 3.1},
-    {"age": 4, "height": 3.9, "diameter": 3.1},
-    {"age": 4, "height": 4.9, "diameter": 2.8},
-    {"age": 4, "height": 5.2, "diameter": 3.5},
-    {"age": 4, "height": 4.8, "diameter": 4},
-]
-trees_df = DataFrame(trees)
-trees_df.head()
-```
-
-%% Cell type:markdown id: tags:
-
-### Scatter Plots
-We can make a scatter plot of a DataFrame using the following function...
-
-`df_name.plot.scatter(x="x_col_name", y="y_col_name", color="peachpuff")`
-
-Plot the trees data comparing a tree's age to its height...
- - What is `df_name`?
- - What is `x_col_name`?
- - What is `y_col_name`?
-
-%% Cell type:code id: tags:
-
-``` python
-```
-
-%% Cell type:markdown id: tags:
-
-Now plot with a little more beautification...
- - Use a new [color](https://matplotlib.org/3.5.0/_images/sphx_glr_named_colors_003.png)
- - Use a type of [marker](https://matplotlib.org/stable/api/markers_api.html)
- - Change the size (any int)
-
-%% Cell type:code id: tags:
-
-``` python
-# Plot with some more beautification options.
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# Add a title to your plot.
-```
-
-%% Cell type:markdown id: tags:
-
-#### Correlation
-
-%% Cell type:code id: tags:
-
-``` python
-# What is the correlation between our DataFrame columns?
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# What is the correlation between age and height (don't use .iloc)
-```
-
-%% Cell type:markdown id: tags:
-
-### The Size can be based on a DataFrame value
-
-%% Cell type:code id: tags:
-
-``` python
-# Option 1:
-trees_df.plot.scatter(x="age", y="height",  marker="H", s="diameter")
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# Option 2:
-trees_df.plot.scatter(x="age", y="height", marker = "H", s=trees_df["diameter"] * 50) # this way allows you to make it bigger
-```
-
-%% Cell type:markdown id: tags:
-
-## Use subplots to group scatterplot data
-
-%% Cell type:markdown id: tags:
-
-### Re-visit the Iris Data
-
-%% Cell type:code id: tags:
-
-``` python
-iris_df
-```
-
-%% Cell type:markdown id: tags:
-
-### How do we create a *scatter plot* for various *class types*?
-First, gather all the class types.
-
-%% Cell type:code id: tags:
-
-``` python
-# In Pandas
-varieties = ???
-varieties
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# In SQL
-varietes = pd.read_sql("""
-
-""", iris_conn)
-varietes
-```
-
-%% Cell type:markdown id: tags:
-
-In reality, you can choose to write Pandas or SQL queries (or a mix of both!). For the rest of this lecture, we'll use Pandas.
-
-%% Cell type:code id: tags:
-
-``` python
-# If you want to continue using SQL instead, don't close the connection!
-iris_conn.close()
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# Change this scatter plot so that the data is only for class ='Iris-setosa'
-iris_df.plot.scatter(x = "pet-width", y = "pet-length")
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# Write a for loop that iterates through each variety in classes
-# and makes a plot for only that class
-
-for i in range(len(varietes)):
-    variety = varietes[i]
-    pass
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# copy/paste the code above, but this time make each plot a different color
-colors = ["blue", "green", "red"]
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# copy/paste the code above, but this time make each plot a different color AND marker
-colors = ["blue", "green", "red"]
-markers = ["o", "^", "v"]
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# Did you notice that it made 3 plots?!?! What's deceiving about this?
-```
-
-%% Cell type:code id: tags:
-
-``` python
-colors = ["blue", "green", "red"]
-markers = ["o", "^", "v"]
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# Have to be VERY careful to not crop out data.
-# We'll talk about this next lecture.
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# Better yet, we could combine these.
-```
-
-%% Cell type:markdown id: tags:
-
-### We can make Subplots in plots, called an AxesSubplot, keyword ax
-1. if AxesSuplot ax passed, then plot in that subplot
-2. if ax is None, create a new AxesSubplot
-3. return AxesSubplot that was used
-
-%% Cell type:code id: tags:
-
-``` python
-# complete this code to make 3 plots in one
-
-plot_area = None   # don't change this...look at this variable in line 12
-colors = ["blue", "green", "red"]
-markers = ["o", "^", "v"]
-```
-
-%% Cell type:markdown id: tags:
-
-### Time-Permitting
-Plot this data in an interesting/meaningful way & identify any correlations.
-
-%% Cell type:code id: tags:
-
-``` python
-students = pd.DataFrame({
-    "name": [
-        "Cole",
-        "Cynthia",
-        "Alice",
-        "Seth"
-    ],
-    "grade": [
-        "C",
-        "AB",
-        "B",
-        "BC"
-    ],
-    "gpa": [
-        2.0,
-        3.5,
-        3.0,
-        2.5
-    ],
-    "attendance": [
-        4,
-        11,
-        10,
-        6
-    ],
-    "height": [
-        68,
-        66,
-        60,
-        72
-    ]
-})
-students
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# Min, Max, and Overall Difference in Student Height
-min_height = students["height"].min()
-max_height = students["height"].max()
-diff_height = max_height - min_height
-
-# Normalize students heights on a scale of [0, 1] (black to white)
-height_colors = (students["height"] - min_height) / diff_height
-
-# Normalize students heights on a scale of [0, 0.5] (black to gray)
-height_colors = height_colors / 2
-
-# Color must be a string (e.g. c='0.34')
-height_colors = height_colors.astype("string")
-
-height_colors
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# Plot!
-```
-
-%% Cell type:code id: tags:
-
-``` python
-# What are the correlations?
-```
-
-%% Cell type:markdown id: tags:
-
-![image.png](attachment:image.png)
-
-%% Cell type:markdown id: tags:
-
-https://www.researchgate.net/publication/247907373_Stupid_Data_Miner_Tricks_Overfitting_the_SP_500

f22/andy_lec_notes/lec37_Dec07_Plotting2/lec_37_plotting2_scatter_plots_template.ipynb

+%% Cell type:code id: tags:
+
+``` python
+# ignore this cell (it's just to make certain text red later, but you don't need to understand it).
+from IPython.core.display import display, HTML
+display(HTML('<style>em { color: red; }</style> <style>.container { width:100% !important; }</style>'))
+```
+
+%% Cell type:code id: tags:
+
+``` python
+%matplotlib inline
+```
+
+%% Cell type:code id: tags:
+
+``` python
+import pandas as pd
+from pandas import DataFrame, Series
+
+import sqlite3
+import os
+
+import matplotlib
+# new import statement
+from matplotlib import pyplot as plt
+
+import requests
+matplotlib.rcParams["font.size"] = 12
+```
+
+%% Cell type:markdown id: tags:
+
+#### Wrapping up bus dataset example
+
+%% Cell type:markdown id: tags:
+
+#### What are the top routes, and how many people ride them daily?
+
+%% Cell type:code id: tags:
+
+``` python
+path = "bus.db"
+# assert existence of path
+assert os.path.exists(path)
+
+# establish connection to bus.db
+conn = sqlite3.connect(path)
+```
+
+%% Cell type:code id: tags:
+
+``` python
+df = pd.read_sql("""
+SELECT Route, SUM(DailyBoardings) AS daily
+FROM boarding
+GROUP BY Route
+ORDER BY daily DESC
+""", conn)
+
+df
+```
+
+%% Cell type:code id: tags:
+
+``` python
+# let's extract daily column from df
+df["daily"]
+```
+
+%% Cell type:code id: tags:
+
+``` python
+# let's create a bar plot from daily column Series
+df["daily"].plot.bar()
+
+# Oops wrong x-axis labels!
+```
+
+%% Cell type:code id: tags:
+
+``` python
+df
+```
+
+%% Cell type:code id: tags:
+
+``` python
+df = ???
+
+# let's plot for top 5 routes alone
+???
+```
+
+%% Cell type:code id: tags:
+
+``` python
+# let's use slicing to aggregate the rest of the data
+```
+
+%% Cell type:code id: tags:
+
+``` python
+# let's plot the bars
+ax = (s / 1000).plot.bar(color = "k")
+ax.set_ylabel("Rides / Day (Thousands)")
+None
+```
+
+%% Cell type:code id: tags:
+
+``` python
+conn.close()
+```
+
+%% Cell type:markdown id: tags:
+
+### IRIS dataset: http://archive.ics.uci.edu/ml/datasets/iris
+- This set of data is used in beginning Machine Learning Courses
+- You can train a ML algorithm to use the values to predict the class of iris
+- Dataset link: https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data
+
+%% Cell type:markdown id: tags:
+
+#### Warmup 1:  Downloading IRIS dataset (https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data)
+
+%% Cell type:code id: tags:
+
+``` python
+# use requests to get this URL
+url = "https://archive.ics.uci.edu/ml/machine-learning-databases/iris/iris.data"
+response = ???
+
+# check that the request was successful
+???
+
+# open a file called "iris.csv" for writing the data locally
+file_obj = open("iris.csv", ???)
+
+# write the text of response to the file object
+file_obj.write(???)
+
+# close the file object
+file_obj.close()
+
+# Look at the file you downloaded. What's wrong with it?
+```
+
+%% Cell type:markdown id: tags:
+
+#### Warmup 2: Making a DataFrame
+
+%% Cell type:code id: tags:
+
+``` python
+# read the "iris.csv" file into a Pandas dataframe
+iris_df = ???
+
+# display the head of the data frame
+iris_df.head()
+```
+
+%% Cell type:markdown id: tags:
+
+#### Warmup 3: Our CSV file has no header. Let's add column names.
+- Refer to the documentation: https://pandas.pydata.org/docs/reference/api/pandas.read_csv.html
+
+%% Cell type:code id: tags:
+
+``` python
+# Attribute Information:
+# 1. sepal length in cm
+# 2. sepal width in cm
+# 3. petal length in cm
+# 4. petal width in cm
+# 5. class: Iris Setosa, Iris Versicolour, Iris Virginica
+
+# These should be our headers
+# ["sep-length", "sep-width", "pet-length", "pet-width", "class"]
+
+iris_df = pd.read_csv("iris.csv",
+                 ???)
+iris_df.head()
+```
+
+%% Cell type:markdown id: tags:
+
+#### Warmup 4: Connect to our database version of this data!
+
+%% Cell type:code id: tags:
+
+``` python
+iris_conn = sqlite3.connect("iris-flowers.db")
+pd.read_sql("SELECT * FROM sqlite_master WHERE type='table'", iris_conn)
+```
+
+%% Cell type:markdown id: tags:
+
+#### Warmup 5: Using SQL, get the 10 'Iris-setosa' flowers with the longest sepal length.
+Break any ties by ordering by the shortest sepal width.
+
+%% Cell type:code id: tags:
+
+``` python
+pd.read_sql("""
+    SELECT
+    FROM
+    WHERE
+    ORDER BY
+    LIMIT 10
+""", iris_conn)
+```
+
+%% Cell type:markdown id: tags:
+
+# Lecture 36:  Scatter Plots
+**Learning Objectives**
+- Set the marker, color, and size of scatter plot data
+- Calculate correlation between DataFrame columns
+- Use subplots to group scatterplot data
+
+%% Cell type:markdown id: tags:
+
+## Set the marker, color, and size of scatter plot data
+
+To start, let's look at some made-up data about Trees.
+The city of Madison maintains a database of all the trees they care for.
+
+%% Cell type:code id: tags:
+
+``` python
+trees = [
+    {"age": 1, "height": 1.5, "diameter": 0.8},
+    {"age": 1, "height": 1.9, "diameter": 1.2},
+    {"age": 1, "height": 1.8, "diameter": 1.4},
+    {"age": 2, "height": 1.8, "diameter": 0.9},
+    {"age": 2, "height": 2.5, "diameter": 1.5},
+    {"age": 2, "height": 3, "diameter": 1.8},
+    {"age": 2, "height": 2.9, "diameter": 1.7},
+    {"age": 3, "height": 3.2, "diameter": 2.1},
+    {"age": 3, "height": 3, "diameter": 2},
+    {"age": 3, "height": 2.4, "diameter": 2.2},
+    {"age": 2, "height": 3.1, "diameter": 2.9},
+    {"age": 4, "height": 2.5, "diameter": 3.1},
+    {"age": 4, "height": 3.9, "diameter": 3.1},
+    {"age": 4, "height": 4.9, "diameter": 2.8},
+    {"age": 4, "height": 5.2, "diameter": 3.5},
+    {"age": 4, "height": 4.8, "diameter": 4},
+]
+trees_df = DataFrame(trees)
+trees_df.head()
+```
+
+%% Cell type:markdown id: tags:
+
+### Scatter Plots
+We can make a scatter plot of a DataFrame using the following function...
+
+`df_name.plot.scatter(x = "x_col_name", y = "y_col_name", \
+                     color = "red", marker = "*", s = 50)`
+
+%% Cell type:markdown id: tags:
+
+Plot the trees data comparing a tree's age to its height...
+ - What is `df_name`?
+ - What is `x_col_name`?
+ - What is `y_col_name`?
+
+%% Cell type:code id: tags:
+
+``` python
+# TODO: change y to diameter
+```
+
+%% Cell type:markdown id: tags:
+
+Now plot with a little more beautification...
+ - Use a new [color](https://matplotlib.org/3.5.0/_images/sphx_glr_named_colors_003.png)
+ - Use a type of [marker](https://matplotlib.org/stable/api/markers_api.html)
+ - Change the size (any int)
+
+%% Cell type:code id: tags:
+
+``` python
+# Plot with some more beautification options.
+trees_df.plot.scatter(x = "age", y = "height", color = "r",  marker = "D", s = 50)
+# D for diamond
+```
+
+%% Cell type:code id: tags:
+
+``` python
+# Add a title to your plot.
+ax = trees_df.plot.scatter(x = "age", y = "height", color = "r", marker = "D", s = 50)
+# D for diamond
+ax.set_title("Tree Age vs Height")
+```
+
+%% Cell type:markdown id: tags:
+
+#### Correlation
+
+%% Cell type:code id: tags:
+
+``` python
+# What is the correlation between our DataFrame columns?
+corr_df = trees_df.corr()
+corr_df
+```
+
+%% Cell type:code id: tags:
+
+``` python
+# What is the correlation between age and height (don't use .iloc)
+# Using index in this case isn't considered as hardcoding
+corr_df['age']['height']
+```
+
+%% Cell type:markdown id: tags:
+
+### Variating Stylistic Parameters
+
+%% Cell type:code id: tags:
+
+``` python
+# Option 1:
+trees_df.plot.scatter(x = "age", y = "height",  marker = "H", s = "diameter")
+```
+
+%% Cell type:code id: tags:
+
+``` python
+# Option 2:
+# this way allows you to make it bigger
+trees_df.plot.scatter(x = "age", y = "height", marker = "H", s = trees_df["diameter"] * 50)
+```
+
+%% Cell type:markdown id: tags:
+
+## Use subplots to group scatterplot data
+
+%% Cell type:markdown id: tags:
+
+### Re-visit the Iris Data
+
+%% Cell type:code id: tags:
+
+``` python
+iris_df
+```
+
+%% Cell type:markdown id: tags:
+
+### How do we create a *scatter plot* for various *class types*?
+First, gather all the class types.
+
+%% Cell type:code id: tags:
+
+``` python
+# In Pandas
+varietes = list(set(iris_df["class"]))
+varietes
+```
+
+%% Cell type:code id: tags:
+
+``` python
+# In SQL
+varietes = list(pd.read_sql("""
+    SELECT DISTINCT class
+    FROM iris
+""", iris_conn)["class"])
+varietes
+```
+
+%% Cell type:markdown id: tags:
+
+In reality, you can choose to write Pandas or SQL queries (or a mix of both!). For the rest of this lecture, we'll use Pandas.
+
+%% Cell type:code id: tags:
+
+``` python
+# If you want to continue using SQL instead, don't close the connection!
+iris_conn.close()
+```
+
+%% Cell type:code id: tags:
+
+``` python
+# Change this scatter plot so that the data is only for class ='Iris-setosa'
+```
+
+%% Cell type:code id: tags:
+
+``` python
+# Write a for loop that iterates through each variety in classes
+# and makes a plot for only that class
+
+# For each class add a color and a marker style
+colors = ["blue", "green", "red"]
+markers = ["o", "^", "v"]
+
+for i in range(len(varietes)):
+    ???
+```
+
+%% Cell type:markdown id: tags:
+
+Did you notice that it made 3 plots?!?! What's decieving about this?
+
+%% Cell type:markdown id: tags:
+
+### We can make Subplots in plots, called an AxesSubplot, keyword ax
+1. if AxesSuplot ax passed, then plot in that subplot
+2. if ax is None, create a new AxesSubplot
+3. return AxesSubplot that was used
+
+%% Cell type:code id: tags:
+
+``` python
+# complete this code to make 3 plots in one
+
+plot_area = None   # don't change this...look at this variable in line 12
+colors = ["blue", "green", "red"]
+markers = ["o", "^", "v"]
+for i in range(len(varietes)):
+    ???
+```
+
+%% Cell type:markdown id: tags:
+
+### Let's focus on "Iris-virginica" data
+
+%% Cell type:code id: tags:
+
+``` python
+iris_virginica = ???
+assert(len(iris_virginica) == 50)
+iris_virginica.head()
+```
+
+%% Cell type:code id: tags:
+
+``` python
+iris_virginica.plot.scatter(x = "pet-width", y = "pet-length")
+```
+
+%% Cell type:markdown id: tags:
+
+### Let's learn about *xlim* and *ylim*
+- Allows us to set x-axis and y-axis limits
+- Takes either a single value (LOWER-BOUND) or a tuple containing two values (LOWER-BOUND, UPPER-BOUND)
+- You need to be careful about setting the UPPER-BOUND
+
+%% Cell type:code id: tags:
+
+``` python
+iris_virginica.plot.scatter(x = "pet-width", y = "pet-length", xlim = ???, ylim = ???)
+```
+
+%% Cell type:code id: tags:
+
+``` python
+ax = iris_virginica.plot.scatter(x = "pet-width", y = "pet-length",
+                    xlim = (0, 6), ylim = (0, 6),
+                    figsize = (3, 3))
+
+# What is wrong with this plot?
+```
+
+%% Cell type:markdown id: tags:
+
+What is the maximum pet-len?
+
+%% Cell type:code id: tags:
+
+``` python
+```
+
+%% Cell type:code id: tags:
+
+``` python
+ax.get_ylim()
+```
+
+%% Cell type:markdown id: tags:
+
+Let's include assert statements to make sure we don't crop the plot!
+
+%% Cell type:code id: tags:
+
+``` python
+ax = iris_virginica.plot.scatter(x = "pet-width", y = "pet-length",
+                     xlim = (0, 6), ylim = (0, 6),
+                     figsize = (3, 3))
+assert iris_virginica["pet-length"].max() <= ax.get_ylim()[1]
+```
+
+%% Cell type:markdown id: tags:
+
+### Now let's try all 4 assert statements
+
+```
+assert iris_virginica[ax.get_xlabel()].min() >= ax.get_xlim()[0]
+assert iris_virginica[ax.get_xlabel()].max() <= ax.get_xlim()[1]
+assert iris_virginica[ax.get_ylabel()].min() >= ax.get_ylim()[0]
+assert iris_virginica[ax.get_ylabel()].max() <= ax.get_ylim()[1]
+```
+
+%% Cell type:code id: tags:
+
+``` python
+ax = iris_virginica.plot.scatter(x = "pet-width", y = "pet-length",
+                     xlim = (0, 7), ylim = (0, 7),
+                     figsize = (3, 3))
+assert iris_virginica[ax.get_xlabel()].min() >= ax.get_xlim()[0]
+assert iris_virginica[ax.get_xlabel()].max() <= ax.get_xlim()[1]
+assert iris_virginica[ax.get_ylabel()].min() >= ax.get_ylim()[0]
+assert iris_virginica[ax.get_ylabel()].max() <= ax.get_ylim()[1]
+```
+
+%% Cell type:markdown id: tags:
+
+### Time-Permitting
+Plot this data in an interesting/meaningful way & identify any correlations.
+
+%% Cell type:code id: tags:
+
+``` python
+students = pd.DataFrame({
+    "name": [
+        "Cole",
+        "Cynthia",
+        "Alice",
+        "Seth"
+    ],
+    "grade": [
+        "C",
+        "AB",
+        "B",
+        "BC"
+    ],
+    "gpa": [
+        2.0,
+        3.5,
+        3.0,
+        2.5
+    ],
+    "attendance": [
+        4,
+        11,
+        10,
+        6
+    ],
+    "height": [
+        68,
+        66,
+        60,
+        72
+    ]
+})
+students
+```
+
+%% Cell type:code id: tags:
+
+``` python
+# Min, Max, and Overall Difference in Student Height
+min_height = students["height"].min()
+max_height = students["height"].max()
+diff_height = max_height - min_height
+
+# Normalize students heights on a scale of [0, 1] (black to white)
+height_colors = (students["height"] - min_height) / diff_height
+
+# Normalize students heights on a scale of [0, 0.5] (black to gray)
+height_colors = height_colors / 2
+
+# Color must be a string (e.g. c='0.34')
+height_colors = height_colors.astype("string")
+
+height_colors
+```
+
+%% Cell type:code id: tags:
+
+``` python
+students.plot.scatter(x="attendance", y="gpa", c=height_colors)
+```
+
+%% Cell type:code id: tags:
+
+``` python
+students.corr()
+```

f22/meena_lec_notes/lec-38/lec_38_plotting3_line_plots_template.ipynb

 %% Cell type:code id: tags:
 
 ``` python
-# ignore this cell (it's just to make certain text red later, but you don't need to understand it).
-from IPython.core.display import display, HTML
-display(HTML('<style>em { color: red; }</style> <style>.container { width:100% !important; }</style>'))
-```
-
-%% Cell type:code id: tags:
-
-``` python
-%matplotlib inline
-```
 
-%% Cell type:code id: tags:
-
-``` python
 # import statements
 import sqlite3
 import pandas as pd
 from pandas import DataFrame, Series
 import matplotlib
 from matplotlib import pyplot as plt
 matplotlib.rcParams["font.size"] = 16
 ```
 
 %% Cell type:markdown id: tags:
 
 #### Warmup 1: Write a function that converts any Fehrenheit temp to Celcius
 C = (5/9) * (f-32)
 
 %% Cell type:code id: tags:
 
 ``` python
 def f_to_c(f):
-
+    return (5/9) * (f-32)
 
 # test it by making several calls
-print(f_to_c())
-print(f_to_c())
-print(f_to_c())
+print(f_to_c(212))
+print(f_to_c(32))
+print(f_to_c(67))
 ```
 
 %% Cell type:markdown id: tags:
 
 #### Warmup 2a: What is the name of the only table inside of iris-flowers.db?
 
 %% Cell type:code id: tags:
 
 ``` python
 # Establish a connection to "iris-flowers.db" database
-iris_conn = ???
-???
+iris_conn = sqlite3.connect("iris-flowers.db")
+pd.read_sql("SELECT * FROM sqlite_master WHERE type='table'", iris_conn)
 ```
 
 %% Cell type:markdown id: tags:
 
 #### Warmup 2b: Save & display all the data from this table to a variable called "iris_df"
 
 %% Cell type:code id: tags:
 
 ``` python
-iris_df = ???
+iris_df = pd.read_sql("SELECT * FROM iris", iris_conn)
 iris_df
 ```
 
 %% Cell type:markdown id: tags:
 
-#### Warmup 3: Scatter plot to visualize relationship between `pet-width` and `pet-length`
+#### Warmup 3a: What are all the class types?
+
+%% Cell type:code id: tags:
+
+``` python
+# v1: pandas
+varietes = iris_df["class"]
+varietes
+```
+
+%% Cell type:code id: tags:
+
+``` python
+# v2: SQL
+varietes = list(pd.read_sql("""
+    SELECT DISTINCT class
+    FROM iris
+""", iris_conn)["class"])
+varietes
+```
+
+%% Cell type:markdown id: tags:
+
+#### Warmup 3b: Scatter plot to visualize relationship between `pet-width` and `pet-length`
 
 %% Cell type:code id: tags:
 
 ``` python
 # complete this code to make 3 plots in one
 
 colors = ["blue", "green", "red"]
 markers = ["o", "^", "v"]
 
 # getting unique class column values
 varietes = list(set(iris_df["class"]))
 
-plot_area = None
+# Iterate over indices of varieties list
+# Q: Why are we iterating over indices instead values here?
+#    Discuss how it will be useful to extract information from other lists
+#    like colors and markers
 for i in range(len(varietes)):
     variety = varietes[i]
+    curr_color = ??? # write code to extract color
+    curr_marker = ??? # write code to extract marker
 
     # make a df just of just the data for this variety
     variety_df = iris_df[iris_df["class"] == variety]
+    # print each subset DataFrame and verify that the output is correct
 
     #make a scatter plot for this variety
-    plot_area = variety_df.plot.scatter(x = "pet-width", y = "pet-length", \
-                                        label = variety, color = colors[i],
-                                        marker = markers[i], \
-                                        ax = plot_area)
+    #variety_df.plot.scatter(x = "pet-width", y = "pet-length")
 ```
 
 %% Cell type:markdown id: tags:
 
 #### Let's focus on "Iris-virginica" data
 
 %% Cell type:code id: tags:
 
 ``` python
 iris_virginica = ???
 # assert that length of iris_virginica is exactly 50
 ???
 iris_virginica.head()
 ```
 
 %% Cell type:markdown id: tags:
 
 #### Create scatter plot to visualize relationship between `pet-width` and `pet-length`
 
 %% Cell type:code id: tags:
 
 ``` python
+iris_virginica.plot.scatter(x = "pet-width", y = "pet-length")
 ```
 
 %% Cell type:markdown id: tags:
 
 ### Let's learn about *xlim* and *ylim*
 - Allows us to set x-axis and y-axis limits
 - Takes either a single value (LOWER-BOUND) or a tuple containing two values (LOWER-BOUND, UPPER-BOUND)
 - You need to be careful about setting the UPPER-BOUND
 
 %% Cell type:code id: tags:
 
 ``` python
+iris_virginica.plot.scatter(x = "pet-width", y = "pet-length", xlim = ???, ylim = ???)
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 ax = iris_virginica.plot.scatter(x = "pet-width", y = "pet-length",
                     xlim = ???, ylim = ???,
                     figsize = (3, 3))
 
 # What is wrong with this plot?
 ```
 
 %% Cell type:markdown id: tags:
 
 What is the maximum `pet-length`?
 
 %% Cell type:code id: tags:
 
 ``` python
-# How do we extract `pet-length` column Series?
+iris_virginica["pet-length"]
 ```
 
 %% Cell type:markdown id: tags:
 
 For every set method, there is a corresponding get method. Try `ax.get_ylim()`.
 
 %% Cell type:code id: tags:
 
 ``` python
 ```
 
 %% Cell type:markdown id: tags:
 
 Let's include assert statements to make sure we don't crop the plot!
 
 %% Cell type:code id: tags:
 
 ``` python
 ax = iris_virginica.plot.scatter(x = "pet-width", y = "pet-length",
                      xlim = (0, 6), ylim = (0, 6),
                      figsize = (3, 3))
 
 #print("Ran into AssertionError while checking axes limits")
 ```
 
 %% Cell type:markdown id: tags:
 
 ### Now let's try all 4 assert statements
 
 ```
 assert iris_virginica[ax.get_xlabel()].min() >= ax.get_xlim()[0]
 assert iris_virginica[ax.get_xlabel()].max() <= ax.get_xlim()[1]
 assert iris_virginica[ax.get_ylabel()].min() >= ax.get_ylim()[0]
 assert iris_virginica[ax.get_ylabel()].max() <= ax.get_ylim()[1]
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 ax = iris_virginica.plot.scatter(x = "pet-width", y = "pet-length",
                      xlim = (0, 7), ylim = (0, 7),
                      figsize = (3, 3))
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 # Close the database connection.
+iris_conn.close()
 ```
 
 %% Cell type:markdown id: tags:
 
 # Plotting Applications
 
 **Learning Objectives**
 
 - Make a line plot on a series or on a DataFrame
 - Apply features of line plots and bar plots to visualize results of data investigations
 - Clean Series data by dropping NaN values and by converting to int
 - Make a stacked bar plot
 
 %% Cell type:markdown id: tags:
 
 ## Line plots
 - `SERIES.plot.line()`       each value in the Series becomes y-value and each index becomes x-value
 - `DATAFRAME.plot.line()`    each column in the data frame becomes a line in the plot
 - ***IMPORTANT***: lines in line plots shouldn't be crooked, you need to sort the values based on increasing order of indices!
 
 https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.plot.line.html
 
 %% Cell type:markdown id: tags:
 
 ### Plotting line from a Series
 
 %% Cell type:code id: tags:
 
 ``` python
 # when you make a series from a list, the default indices 0, 1, 2, ...
 s = Series([0, 100, 300, 200, 400])
 s
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 s = Series([0, 100, 300, 200, 400], index = [0, 20, 21, 22, 1])
 s # oops this produces a crooked line plot!
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 # Let's fix it by sorting the Series values based on the indices
 ```
 
 %% Cell type:markdown id: tags:
 
 ### Craft breweries example
 
 %% Cell type:code id: tags:
 
 ``` python
 # You can make a series from a list and add indices
 s = Series([1758, 2002, 2408, 2898, 3814, 4803, 5713, 6661, 7618, 8391, 8764], \
            index=[2010, 2011, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020])
 
 # We can save the AxesSubplot and "beautify" it like the other plots...
 
 # Set title to "Craft Breweries in the USA"
 
 # Set x-axis label to "Year"
 
 # Set y-axis label to "# Craft Breweries"
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 # Be careful! If the indices are out of order you get a mess
 # pandas plots each (index, value) in the order given
 s = Series([1758, 2408, 2898, 3814, 4803, 5713, 6661, 7618, 8391, 8764, 2002], \
            index=[2010, 2012, 2013, 2014, 2015, 2016, 2017, 2018, 2019, 2020, 2011])
 # TODO: fix this crooked line plot
 s.plot.line()
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 # Fix it here
 ```
 
 %% Cell type:markdown id: tags:
 
 ### Temperature example
 Plotting lines from a DataFrame
 
 - `DATAFRAME.plot.line()`    each column in the data frame becomes a line in the plot
 - ***IMPORTANT***: lines in line plots shouldn't be crooked, you need to sort the values based on increasing order of indices!
 
 %% Cell type:code id: tags:
 
 ``` python
 # This DataFrame is made using a dict of lists
 # City of Madison normal high and low (degrees F) by month
 temp_df = DataFrame( {
     "high": [26, 31, 43, 57, 68, 78, 82, 79, 72, 59, 44, 30],
     "low": [11, 15, 25, 36, 46, 56, 61, 59, 50, 39, 28, 16]}
 )
 
 # Q: do "high" and "low" become rows or columns within the DataFrame?
 # A:
 temp_df
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 # Let's create line plots
  # not a nice plot
 
 # Let's fix the aesthetics
 ```
 
 %% Cell type:markdown id: tags:
 
 ### A Line Plot made from a DataFrame automatically plots all columns
 
 The same is true for bar plots; we'll see this later.
 
 `ax.xticks(...)`: takes as argument a sequence of numbers and add ticks at those locations.
 
 %% Cell type:code id: tags:
 
 ``` python
 # You can also add ticks and ticklabels to a line plot
 # TODOs:
 # 1. Also add figure size as (8, 4)
 # 2. Add xticks - how many do we need?
 # 3. Add xticklables and rotate them by 45 degrees
 #["Jan", "Feb", "Mar", "Apr", "May", "Jun", "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"]
 
 ax = temp_df.plot.line(???)
 ax.set_title("Average Temperatures in Madison, WI")
 ax.set_xlabel("Month")
 ax.set_ylabel("Temp (Fahrenheit)")
 ax.set_xticks(???)   # makes a sequence of integers from 0 to 11
 ax.set_xticklabels(???, ???)
 
 # This gets rid of the weird output
 None
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 # We could explicitly pass arguments to the "x" and "y" parameters
 temp_df_with_month = DataFrame(
     {
     "month": ["Jan", "Feb", "Mar", "Apr", "May", "Jun",
                    "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"],
     "high": [26, 31, 43, 57, 68, 78, 82, 79, 72, 59, 44, 30],
     "low": [11, 15, 25, 36, 46, 56, 61, 59, 50, 39, 28, 16]}
 )
 
 ax = temp_df_with_month.plot.line(x = ???, y = ???, figsize = (8, 4))
 ax.set_title("Average Temperatures in Madison, WI")
 ax.set_xlabel("Month")
 ax.set_ylabel("Temp (Fahrenheit)")
 ```
 
 %% Cell type:markdown id: tags:
 
 ### We can perform a calculation on an entire DataFrame
 Let's change the entire DataFrame to Celcius
 
 %% Cell type:code id: tags:
 
 ``` python
 # call the function on the dataframe
 celcius_df = ???
 celcius_df
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 # here is one way to add a horizontal line to our line plots
 celcius_df[???] = ???
 celcius_df
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 # this plots each column as lines
 # with rotation for the tick labels
 ax = celcius_df.plot.line(figsize = (8, 4))
 ax.set_xlabel("Month")
 ax.set_ylabel("Temp (Celcius)")
 ax.set_xticks(range(12))
 ax.set_xticklabels(["Jan", "Feb", "Mar", "Apr", "May", "Jun",
                     "Jul", "Aug", "Sep", "Oct", "Nov", "Dec"], rotation = 45)
 ax.grid()
 None
 ```
 
 %% Cell type:markdown id: tags:
 
 ## Bar plots using DataFrames
 
 %% Cell type:markdown id: tags:
 
 Bar Plot Example w/ Fire Hydrants
 
 - General review of pandas
 - Some new bar plot options
 
 %% Cell type:code id: tags:
 
 ``` python
 # TODO: read "Fire_Hydrants.csv" into a DataFrame
 hdf = ???
 hdf.tail()
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 # Extract just the column names
 ```
 
 %% Cell type:markdown id: tags:
 
 ### Let's create a *bar plot* to visualize *colors* of fire hydrants.
 
 %% Cell type:code id: tags:
 
 ``` python
 # Make a series called counts_series which stores the value counts of the "nozzle_color"
 color_counts = ???
 color_counts # what is wrong with this data?
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 # TODO: Clean the data ......use str.upper()
 
 color_counts = ???
 color_counts
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 # Make a horizontal bar plot of counts of colors and have the colors match
 # use color list: ["b", "g", "darkorange", "r", "c", "0.5"]
 ax = ???
 ax.set_xlabel("Fire hydrant count")
 ```
 
 %% Cell type:markdown id: tags:
 
 ### Let's create a *bar plot* to visualize *style* of fire hydrants.
 
 %% Cell type:code id: tags:
 
 ``` python
 # Do the same thing as we did for the colors but this time for the "Style"
 style_counts = ???
 style_counts
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 # Grab the top 12
 top12 = ???
 
 # and them add an index to our Series for the sum of all the "other" for
 top12[???] = ???
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 # Plot the results
 ax = ???(color = "firebrick")
 ax.set_ylabel("Hydrant Count")
 ax.set_xlabel("Hydrant Type")
 ```
 
 %% Cell type:markdown id: tags:
 
 ### In what *decade* were *pacers manufactured*?
 ### Take a peek at the *Style* column data
 
 %% Cell type:code id: tags:
 
 ``` python
 hdf["Style"]
 ```
 
 %% Cell type:markdown id: tags:
 
 ### Which *column* gives *year* information?
 
 %% Cell type:code id: tags:
 
 ``` python
 hdf.columns
 ```
 
 %% Cell type:markdown id: tags:
 
 ### How to get the *year_manufactured* for *pacers* and *others*?
 
 %% Cell type:code id: tags:
 
 ``` python
 # Let's get the year manufactured for all of the "Pacer" hydrants.
 pacer_years = ???
 
 # Note: We can do this either way
 # pacer_years = hdf["year_manufactured"][hdf["Style"] == "Pacer"]
 
 pacer_years
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 # then do the same for all the other data
 other_years = ???
 other_years
 ```
 
 %% Cell type:markdown id: tags:
 
 ### How to get the *decade* for *pacers*?
 
 %% Cell type:code id: tags:
 
 ``` python
 # Round each year down to the start of the decade.
 # e.g. 1987 --> 1980, 2003 --> 2000
 pacer_decades = ???
 pacer_decades
 ```
 
 %% Cell type:markdown id: tags:
 
 ### How to convert the *decades* back to *int*?
 - `astype(...)` method
 - `dropna(...)` method
 
 %% Cell type:code id: tags:
 
 ``` python
 # Drop the NaN values, convert to int, and do value counts
 pacer_decades = ???
 ```
 
 %% Cell type:markdown id: tags:
 
 ### How to *count the decades* for pacers?
 
 %% Cell type:code id: tags:
 
 ``` python
 pacer_decades_count = ???
 pacer_decades_count
 ```
 
 %% Cell type:markdown id: tags:
 
 ### Count the *decades* for others.
 
 %% Cell type:code id: tags:
 
 ``` python
 # Do the same thing for other_years. Save to a variable called "other_decades"
 other_decades = ???
 other_decades_count = ???
 other_decades_count
 ```
 
 %% Cell type:markdown id: tags:
 
 ### Build a DataFrame from a dictionary of key, Series
 
 %% Cell type:code id: tags:
 
 ``` python
 plot_df = DataFrame(???)
 plot_df # observe the NaN values
 ```
 
 %% Cell type:code id: tags:
 
 ``` python
 # make a bar plot
 
 ax = ???
 ax.set_xlabel("Decade")
 ax.set_ylabel("Hydrant Count")
 ```
 
 %% Cell type:markdown id: tags:
 
 #### Ignore data from before 1950 using boolean indexing.
 
 %% Cell type:code id: tags:
 
 ``` python
 ax = ???
 ax.set_xlabel("Decade")
 ax.set_ylabel("Hydrant Count")
 ```
 
 %% Cell type:markdown id: tags:
 
 ### Stacked Bar Chart
 `stacked` parameter accepts boolean value as argument
 
 %% Cell type:code id: tags:
 
 ``` python
 ax = ???
 ax.set_xlabel("Decade")
 ax.set_ylabel("Hydrant Count")
 None
 ```

f22/meena_lec_notes/lec-39/cs220_survey_data.csv

-Lecture,Age,Primary major,Other majors,Zip Code,Pizza topping,Pet owner,Runner,Sleep habit,Procrastinator
-LEC002,19,Engineering: Mechanical,,53711,pepperoni,Yes,No,night owl,Maybe
-LEC002,20,Science: Physics,"Astronomy-Physics, History",53726,pineapple,Yes,Yes,night owl,Yes
-LEC001,20,Science: Chemistry,,53703,pepperoni,Yes,No,early bird,No
-LEC004,19,Engineering: Biomedical,,53703,pepperoni,Yes,Yes,night owl,No
-LEC004,20,Other,Economics ,53715,mushroom,Yes,Yes,no preference,Maybe
-LEC003,18,Statistics,,53706,Other,Yes,No,night owl,Yes
-LEC003,18,Mathematics/AMEP,,53706,sausage,No,No,night owl,No
-LEC004,18,Engineering: Biomedical,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC003,19,Data Science,Stats,53715,pineapple,Yes,No,no preference,No
-LEC003,19,Business: Finance,,53703,sausage,Yes,Yes,early bird,Yes
-LEC003,18,Engineering: Mechanical,,53706,Other,No,No,no preference,No
-LEC004,18,Other,I am undecided – thinking about Data Science Major,53706,basil/spinach,Yes,No,night owl,Maybe
-LEC004,19,Engineering: Other,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC003,18,Statistics,psychology,53706,mushroom,No,No,night owl,Yes
-LEC004,20,Statistics,Mathematics ,53726,pepperoni,Yes,Yes,early bird,Maybe
-LEC004,20,Mathematics/AMEP,,53711,sausage,Yes,No,night owl,Yes
-LEC003,18,Science: Physics,Data Science,53706,pepperoni,No,Yes,early bird,No
-LEC003,19,Data Science,Economics,53715,pepperoni,No,Yes,no preference,Maybe
-LEC003,19,Engineering: Mechanical,nuclear engineering,53706,sausage,Yes,No,night owl,Yes
-LEC003,21,Science: Chemistry,,,green pepper,Yes,No,early bird,Maybe
-LEC003,18,Engineering: Other,,53706,pepperoni,Yes,Yes,no preference,Yes
-LEC003,,Engineering: Other,,,pineapple,Yes,No,early bird,Maybe
-LEC002,20,Computer Science,Data Science,53706,basil/spinach,Yes,No,night owl,Maybe
-LEC002,21,Science: Other,,53703,sausage,Yes,No,early bird,Maybe
-LEC001,21,Computer Science,Data Science,53715,pepperoni,Yes,No,night owl,Maybe
-LEC004,18,Engineering: Mechanical,,53706,pepperoni,Yes,No,early bird,Maybe
-LEC002,18,Languages,Linguistics,53706,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC002,18,Engineering: Mechanical,,53706,Other,No,Yes,night owl,Maybe
-LEC002,18,Other,,53706,none (just cheese),Yes,Yes,night owl,Yes
-LEC001,19,Science: Other,,53706,mushroom,Yes,No,night owl,Yes
-LEC001,18,Engineering: Biomedical,,,pepperoni,Yes,No,no preference,Maybe
-LEC003,19,Engineering: Biomedical,,53706,none (just cheese),Yes,No,night owl,Maybe
-LEC001,20,Science: Physics,Mathematics,53703,pineapple,Yes,No,early bird,No
-LEC002,28,Science: Other,,53703,pineapple,Yes,Yes,night owl,Maybe
-LEC001,18,Other,,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,20,Engineering: Other,,53715,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Science: Physics,Life Science Communication,53706,pineapple,Yes,No,night owl,Yes
-LEC003,18,Engineering: Biomedical,pre-medicine,53706,sausage,Yes,Yes,early bird,No
-LEC003,,Engineering: Biomedical,,53706,none (just cheese),No,Yes,early bird,Yes
-LEC001,21,Science: Other,,53711,pepperoni,Yes,No,night owl,No
-LEC002,18,Engineering: Biomedical,,53706,sausage,Yes,No,no preference,No
-LEC001,18,Engineering: Biomedical,,53706,macaroni/pasta,Yes,No,early bird,Yes
-LEC004,21,Engineering: Biomedical,,53703,pepperoni,Yes,No,no preference,Yes
-LEC004,18,Business: Information Systems,,53706,pepperoni,Yes,Yes,night owl,No
-LEC001,19,Business: Actuarial,Data Science and Analytics,53706,pepperoni,Yes,Yes,night owl,No
-LEC001,22,Engineering: Industrial,,,sausage,Yes,No,night owl,Yes
-LEC003,20,Other,"data science, business",53703,mushroom,Yes,Yes,no preference,Maybe
-LEC004,18,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,18,Engineering: Other,,53706,mushroom,No,No,early bird,No
-LEC001,19,Data Science,Sports Journalism certificate,53703,pepperoni,Yes,Yes,no preference,No
-LEC004,18,Data Science,,53706,none (just cheese),Yes,No,night owl,Yes
-LEC002,20,Statistics,"Data Science, Math",53715,mushroom,No,No,night owl,No
-LEC001,19,Engineering: Biomedical,,53706,mushroom,Yes,Yes,early bird,No
-LEC003,20,Other,Data science certificate,,sausage,Yes,Yes,no preference,Yes
-LEC003,20,Engineering: Industrial,Computer science,53719,sausage,No,No,early bird,Maybe
-LEC003,,Computer Science,Minors in Data Science and Chicano and Latino Studies,53715,macaroni/pasta,No,Yes,night owl,Yes
-LEC002,19,Computer Science,,,mushroom,Yes,No,no preference,No
-LEC002,18,Engineering: Biomedical,,,pepperoni,Yes,No,night owl,Yes
-LEC002,20,Business: Finance,Economics,53715,pepperoni,Yes,No,night owl,Yes
-LEC002,19,Engineering: Biomedical,,53706,sausage,Yes,Yes,no preference,Maybe
-LEC002,19,Engineering: Biomedical,,52706,pepperoni,Yes,Yes,early bird,No
-LEC001,19,Science: Biology/Life,,53703,basil/spinach,Yes,No,night owl,Maybe
-LEC002,19,Engineering: Mechanical,History,53706,none (just cheese),No,Yes,no preference,Yes
-LEC002,21,Computer Science,Math,53715,sausage,Yes,No,night owl,Yes
-LEC004,19,Data Science,Economics,53706,pepperoni,No,No,night owl,Yes
-LEC001,18,Engineering: Mechanical,,53715,none (just cheese),Yes,Yes,no preference,Maybe
-LEC004,18,Engineering: Biomedical,,53706,pineapple,Yes,No,night owl,Yes
-LEC003,18,Other,Sociology,53706,pineapple,Yes,No,night owl,Yes
-LEC004,18,Engineering: Biomedical,,53706,pepperoni,Yes,Yes,early bird,No
-LEC001,23,Business: Other,,53705,pineapple,No,No,no preference,No
-LEC004,18,Engineering: Biomedical,,53706,mushroom,Yes,Yes,no preference,Maybe
-LEC001,18,Data Science,,53703,pepperoni,Yes,No,night owl,No
-LEC001,19,Business: Finance,,53706,pineapple,No,No,night owl,Maybe
-LEC004,19,Science: Biology/Life,"Environmental Sciences, Conservation Biology",53715,basil/spinach,Yes,No,no preference,No
-LEC001,20,Computer Science,,53715,pepperoni,Yes,Yes,night owl,Yes
-LEC004,18,Computer Science,Data Science,53706,none (just cheese),Yes,No,early bird,Yes
-LEC003,18,Science: Other,,53706,pepperoni,Yes,No,night owl,Yes
-LEC002,19,Engineering: Biomedical,,53706,sausage,Yes,Yes,no preference,Yes
-LEC001,19,Computer Science,Economics,53715,sausage,Yes,No,no preference,Yes
-LEC001,21,Other,,,mushroom,No,No,night owl,Maybe
-LEC004,21,Data Science,,53703,none (just cheese),Yes,No,night owl,Yes
-LEC002,20,Data Science,,53703,pineapple,Yes,Yes,early bird,Maybe
-LEC002,18,Data Science,,53715,Other,Yes,No,early bird,No
-LEC003,19,Mathematics/AMEP,Double major math and economics,,pepperoni,Yes,Yes,night owl,No
-LEC003,18,Science: Biology/Life,,53706,none (just cheese),No,Yes,night owl,Yes
-LEC003,20,Computer Science,Computer Engineering,,pepperoni,Yes,No,night owl,Maybe
-LEC002,20,Engineering: Industrial,Maybe Data Science,53703,none (just cheese),Yes,No,night owl,Yes
-LEC003,18,Data Science,Biochemistry,53706,basil/spinach,No,Yes,no preference,Yes
-LEC003,19,Science: Other,,53706,Other,No,Yes,early bird,No
-LEC003,20,Engineering: Mechanical,,53706,pepperoni,No,No,night owl,Maybe
-LEC001,36,Other,,53705,sausage,No,No,no preference,Maybe
-LEC003,18,Data Science,,53706,pineapple,Yes,No,early bird,No
-LEC003,19,Engineering: Mechanical,,,pepperoni,Yes,No,no preference,No
-LEC004,20,Science: Biology/Life,,53703,pepperoni,Yes,No,night owl,Yes
-LEC001,22,Engineering: Biomedical,,53703,sausage,Yes,No,night owl,Yes
-LEC002,18,Business: Information Systems,,53706,macaroni/pasta,Yes,Yes,no preference,Maybe
-LEC001,18,Engineering: Other,,53703,basil/spinach,Yes,Yes,no preference,Yes
-LEC002,19,Statistics,mathematics,53703,Other,No,Yes,night owl,Yes
-LEC001,20,Engineering: Biomedical,,53715,pepperoni,Yes,No,early bird,Yes
-LEC002,24,Science: Other,,53703,mushroom,Yes,No,night owl,Yes
-LEC001,20,Computer Science,Data science,53715,pepperoni,Yes,Yes,night owl,No
-LEC001,19,Mathematics/AMEP,Spanish,53715,pepperoni,Yes,Yes,night owl,Yes
-LEC003,19,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC003,20,Data Science,,53726,sausage,Yes,No,night owl,Maybe
-LEC004,20,Other,,53713,pineapple,Yes,No,early bird,Maybe
-LEC002,23,Engineering: Other,,53705,pineapple,Yes,No,night owl,Maybe
-LEC001,21,Engineering: Mechanical,,53706,pepperoni,No,Yes,night owl,Yes
-LEC003,21,Science: Biology/Life,,53726,basil/spinach,Yes,No,night owl,Yes
-LEC003,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,No
-LEC004,19,Engineering: Other,,53706,sausage,Yes,No,night owl,Yes
-LEC001,19,Science: Physics,,53706,Other,Yes,No,night owl,Maybe
-LEC002,20,Engineering: Industrial,,53715,basil/spinach,Yes,No,night owl,Yes
-LEC003,19,Science: Biology/Life,Data sciences ,53706,pineapple,Yes,Yes,early bird,No
-LEC003,19,Other,undecided/exploring majors in science/math/tech,53706,macaroni/pasta,Yes,Yes,night owl,Maybe
-LEC001,19,Engineering: Industrial,,53703,sausage,Yes,No,night owl,Yes
-LEC003,20,Engineering: Industrial,,53703,sausage,Yes,Yes,night owl,Yes
-LEC002,18,Other,,53706,pepperoni,Yes,No,no preference,Yes
-LEC003,19,Business: Information Systems,Management and Human Resources ,53706,none (just cheese),No,No,night owl,No
-LEC001,19,Computer Science,Computer engineering,53726,pepperoni,Yes,Yes,night owl,Yes
-LEC001,18,Business: Finance,Minor: Data Science,53703,pepperoni,Yes,No,night owl,Maybe
-LEC002,18,Engineering: Mechanical,,53706,Other,Yes,No,night owl,Yes
-LEC004,18,Engineering: Mechanical,,53715,sausage,Yes,No,no preference,Maybe
-LEC002,19,Engineering: Biomedical,,53715,pepperoni,Yes,No,night owl,Maybe
-LEC002,22,Science: Other,,53715,sausage,Yes,Yes,night owl,Yes
-LEC001,19,Other,Education Studies,53715,mushroom,No,No,night owl,Yes
-LEC001,24,Business: Actuarial,,53713,sausage,Yes,No,night owl,Maybe
-LEC001,18,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,25,Engineering: Industrial,,53705,pineapple,No,No,night owl,Maybe
-LEC003,20,Engineering: Biomedical,,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC003,18,Engineering: Mechanical,business,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC002,21,Engineering: Biomedical,,53703,basil/spinach,Yes,No,night owl,Maybe
-LEC003,19,Computer Science,,53703,pepperoni,Yes,No,no preference,No
-LEC003,18,Data Science,,53703,pepperoni,Yes,Yes,early bird,No
-LEC001,19,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC003,18,Mathematics/AMEP,,52706,mushroom,Yes,Yes,night owl,No
-LEC001,19,Data Science,,53706,macaroni/pasta,Yes,No,night owl,Maybe
-LEC003,18,Business: Other,I wasn't sure what to answer in the question above because I'm a Freshman and I'm Pre-Business.,53703,none (just cheese),Yes,No,night owl,Yes
-LEC001,21,Data Science,,53715,pepperoni,Yes,Yes,early bird,No
-LEC003,18,Computer Science,,53706-1203,Other,Yes,No,night owl,Yes
-LEC001,20,Computer Science,,53706,pepperoni,No,No,night owl,Yes
-LEC003,19,Business: Information Systems,,53706,sausage,Yes,Yes,no preference,No
-LEC001,21,Business: Actuarial,Risk Management and Insurance,53715,pineapple,Yes,No,night owl,Maybe
-LEC003,19,Science: Biology/Life,Data Science,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,19,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC004,20,Engineering: Biomedical,,53703,pepperoni,Yes,Yes,early bird,No
-LEC002,21,Other,Economics with Math Emphasis,53703,pepperoni,Yes,No,no preference,Yes
-LEC001,20,Business: Other,Certificates in Data Science and Digital Studies,53715,sausage,Yes,Yes,early bird,Maybe
-LEC001,18,Engineering: Mechanical,,,pineapple,No,No,no preference,Yes
-LEC003,19,Computer Science,,53706,pepperoni,No,Yes,no preference,Maybe
-LEC003,18,Statistics,Data Science ,53706,pepperoni,Yes,No,night owl,No
-LEC004,18,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Maybe
-LEC002,26,Engineering: Other,,53705,Other,Yes,Yes,early bird,Yes
-LEC001,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,18,Engineering: Mechanical,,53706,basil/spinach,Yes,No,night owl,Yes
-LEC001,27,Computer Science,,53703,sausage,No,No,early bird,Maybe
-LEC003,20,Engineering: Biomedical,,,mushroom,Yes,No,early bird,Yes
-LEC001,18,Statistics,,,sausage,Yes,No,night owl,Maybe
-LEC004,19,Statistics,Considering data science as my secondary field of study.,53726,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Engineering: Industrial,,,basil/spinach,Yes,Yes,night owl,Yes
-LEC001,20,Other,,53706,macaroni/pasta,Yes,Yes,night owl,Maybe
-LEC004,20,Other,,53703,sausage,Yes,Yes,night owl,Yes
-LEC001,21,Engineering: Other,,53715,pepperoni,No,No,night owl,Yes
-LEC004,20,Engineering: Mechanical,,53711,mushroom,Yes,No,night owl,Yes
-LEC003,20,Business: Information Systems,,53715,pepperoni,Yes,No,night owl,Yes
-LEC003,21,Engineering: Other,,,mushroom,Yes,No,night owl,Yes
-LEC001,24,Statistics,data science,53703,basil/spinach,Yes,No,early bird,No
-LEC003,19,Computer Science,math,53706,basil/spinach,Yes,No,early bird,Maybe
-LEC004,21,Computer Science,,53715,pepperoni,Yes,Yes,early bird,No
-LEC002,21,Mathematics/AMEP,,53715,pepperoni,Yes,No,early bird,Maybe
-LEC001,,Science: Biology/Life,,,Other,Yes,Yes,early bird,No
-LEC003,18,Engineering: Mechanical,Computer Science Certificate,53706,basil/spinach,No,Yes,early bird,No
-LEC002,18,Other,Data Science,53706,basil/spinach,Yes,No,early bird,No
-LEC003,18,Business: Information Systems,Data Science Certificate,53706,basil/spinach,Yes,Yes,early bird,No
-LEC002,19,Engineering: Industrial,,53706,sausage,Yes,No,early bird,Maybe
-LEC004,18,Engineering: Mechanical,,53706,sausage,Yes,No,night owl,Maybe
-LEC001,22,Science: Other,Mathematics,53726,pepperoni,Yes,Yes,no preference,Yes
-LEC001,18,Engineering: Industrial,,53706,mushroom,No,Yes,early bird,Yes
-LEC002,19,Engineering: Mechanical,,53706,green pepper,No,Yes,night owl,No
-LEC003,18,Statistics,mathematics,53706,mushroom,Yes,No,night owl,No
-LEC003,19,Other,,53706,pepperoni,Yes,Yes,no preference,Yes
-LEC003,20,Other,"Education, Psychology, Data Science",53715,pineapple,Yes,Yes,no preference,Yes
-LEC003,19,Statistics,,53703,pepperoni,Yes,No,early bird,Maybe
-LEC003,20,Data Science,,53703,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC004,20,Business: Actuarial,,53706,pepperoni,Yes,No,early bird,No
-LEC003,20,Data Science,,53703,mushroom,Yes,No,night owl,Yes
-LEC003,19,Mathematics/AMEP,finance,53706,sausage,No,Yes,early bird,Maybe
-LEC003,21,Other,Political Science,53703,pepperoni,Yes,No,night owl,Maybe
-LEC002,19,Engineering: Mechanical,,53706,basil/spinach,Yes,Yes,night owl,Maybe
-LEC001,19,Mathematics/AMEP,Data Science,53706,pepperoni,Yes,Yes,night owl,Maybe
-LEC001,18,Computer Science,Information Systems (Maybe),53706,sausage,Yes,No,early bird,Yes
-LEC001,20,Business: Actuarial,Business: Risk Management,53703,pepperoni,Yes,No,early bird,Yes
-LEC002,26,Engineering: Other,,53705,mushroom,No,No,night owl,Maybe
-LEC001,18,Business: Information Systems,,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,23,Engineering: Other,Environmental Science,53703,mushroom,Yes,Yes,early bird,Maybe
-LEC003,18,Science: Biology/Life,,53706,pineapple,No,No,early bird,Yes
-LEC002,18,Engineering: Biomedical,,53706,pepperoni,Yes,No,no preference,No
-LEC001,18,Other,,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,19,Engineering: Mechanical,Data Science,53726,sausage,Yes,No,no preference,Yes
-LEC003,20,Data Science,,53715,pepperoni,Yes,No,night owl,Yes
-LEC003,19,Engineering: Biomedical,,53706,pepperoni,No,Yes,early bird,No
-LEC004,19,Business: Information Systems,,53715,none (just cheese),Yes,No,night owl,Yes
-LEC001,20,Computer Science,,53703,mushroom,Yes,Yes,early bird,Maybe
-LEC002,18,Data Science,,53703,none (just cheese),Yes,No,night owl,Yes
-LEC004,19,Engineering: Mechanical,,53575,sausage,Yes,No,night owl,Maybe
-LEC004,20,Business: Other,Information Systems,53703,sausage,Yes,Yes,no preference,Maybe
-LEC003,18,Engineering: Biomedical,,53715,pineapple,Yes,No,no preference,Yes
-LEC004,19,Engineering: Mechanical,,53706,mushroom,Yes,No,early bird,Maybe
-LEC003,,Engineering: Biomedical,Certificate in French,,macaroni/pasta,Yes,Yes,night owl,No
-LEC003,21,Business: Information Systems,,53703,pepperoni,Yes,Yes,night owl,Maybe
-LEC001,,Data Science,,5 3706,mushroom,Yes,No,night owl,No
-LEC004,19,Engineering: Biomedical,,53715,none (just cheese),Yes,Yes,no preference,Yes
-LEC002,19,Engineering: Biomedical,,53703,pepperoni,Yes,Yes,night owl,No
-LEC003,20,Computer Science,,53711,sausage,No,No,night owl,Maybe
-LEC004,21,Science: Biology/Life,,53711,sausage,Yes,Yes,night owl,No
-LEC003,21,Other,"Psychology, Chinese",53703,Other,Yes,Yes,night owl,Maybe
-LEC003,20,Data Science,Minor - Comp Sci,53703,basil/spinach,Yes,Yes,no preference,Yes
-LEC004,21,Science: Other,"Global Health is main major, possibly on the premed track, Data Science Certificate",53715,pineapple,Yes,Yes,early bird,No
-LEC003,20,Engineering: Mechanical,,53726,pepperoni,Yes,Yes,night owl,Yes
-LEC001,22,Science: Biology/Life,,53703,green pepper,Yes,No,night owl,Yes
-LEC002,19,Science: Biology/Life,,53703,pepperoni,Yes,No,night owl,Maybe
-LEC004,21,Engineering: Biomedical,,53715,green pepper,Yes,Yes,night owl,Maybe
-LEC002,20,Business: Finance,Real Estate,53703,pepperoni,Yes,Yes,night owl,No
-LEC004,21,Engineering: Biomedical,,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC002,19,Engineering: Industrial,"not positive on IE, maybe ME",53703,pepperoni,Yes,No,night owl,Maybe
-LEC004,18,Engineering: Biomedical,,53706,mushroom,Yes,No,early bird,No
-LEC003,19,Business: Actuarial,Data Science,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,24,Other,Life Science Communications,53703,pineapple,Yes,No,night owl,No
-LEC004,22,Engineering: Other,,53715,pepperoni,No,Yes,early bird,No
-LEC002,18,Engineering: Mechanical,,53715,pepperoni,Yes,Yes,night owl,Maybe
-LEC004,19,Data Science,business: finance,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC003,19,Business: Other,"Economics, Data Science",53703,pepperoni,Yes,Yes,early bird,No
-LEC004,18,Engineering: Other,,53706,pineapple,Yes,Yes,night owl,Maybe
-LEC003,19,Engineering: Mechanical,,53706,none (just cheese),Yes,No,early bird,No
-LEC002,18,Engineering: Mechanical,,53706,Other,Yes,Yes,early bird,No
-LEC001,19,Other,,53706,green pepper,Yes,Yes,night owl,Yes
-LEC004,18,Engineering: Biomedical,,53706,basil/spinach,Yes,Yes,no preference,No
-LEC001,19,Business: Information Systems,,53726,green pepper,No,Yes,night owl,Maybe
-LEC001,18,Engineering: Biomedical,,53706,sausage,Yes,No,night owl,Yes
-LEC003,19,Engineering: Industrial,,53715,pepperoni,No,Yes,early bird,Yes
-LEC002,27,Business: Information Systems,,53703,mushroom,No,Yes,night owl,No
-LEC001,30,Business: Other,,57305,pineapple,Yes,No,night owl,Yes
-LEC004,18,Engineering: Biomedical,Neuroscience/pre-med,53706,none (just cheese),Yes,No,night owl,Yes
-LEC002,20,Data Science,,53703,mushroom,No,No,early bird,Yes
-LEC001,19,Data Science,,53706,Other,Yes,Yes,no preference,Maybe
-LEC001,22,Engineering: Biomedical,,53706,sausage,Yes,No,night owl,Yes
-LEC003,20,Data Science,,,mushroom,Yes,No,no preference,Maybe
-LEC003,20,Other,Economics with Math emphasis,53703,pineapple,No,No,early bird,Maybe
-LEC002,20,Computer Science,Data Science,53706,basil/spinach,Yes,No,no preference,Yes
-LEC001,24,Science: Biology/Life,,53706,mushroom,Yes,Yes,early bird,No
-LEC004,20,Business: Information Systems,Real Estate,53703,pepperoni,Yes,No,night owl,Maybe
-LEC001,20,Data Science,Economics,53703,sausage,Yes,No,no preference,Maybe
-LEC002,20,Engineering: Mechanical,,53703,pepperoni,Yes,Yes,night owl,Maybe
-LEC004,20,Engineering: Mechanical,,53715,pineapple,Yes,Yes,night owl,No
-LEC004,20,Science: Biology/Life,Data Science Certificate (maybe) ,53703,sausage,Yes,Yes,night owl,Maybe
-LEC004,18,Engineering: Mechanical,,19002,pepperoni,Yes,No,no preference,Yes
-LEC001,19,Engineering: Other,,53706,pepperoni,Yes,No,no preference,Maybe
-LEC002,18,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,early bird,Maybe
-LEC004,19,Computer Science,Mathematics,53706,pineapple,Yes,No,no preference,Maybe
-LEC003,18,Business: Information Systems,,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,19,Science: Physics,,53706,pineapple,Yes,Yes,night owl,Maybe
-LEC004,18,Other,,53706,pepperoni,Yes,Yes,night owl,Maybe
-LEC001,25,Engineering: Other,"Architect, Landscape Planner",,mushroom,Yes,Yes,early bird,No
-LEC001,21,Engineering: Mechanical,Physics,53706,mushroom,No,Yes,no preference,Maybe
-LEC004,20,Other,"I major in economics, hoping to obtain a data science certificate.",53703,pepperoni,Yes,No,night owl,Yes
-LEC001,20,Data Science,Economics,53703,none (just cheese),No,Yes,night owl,Maybe
-LEC001,21,Science: Other,,53703,mushroom,Yes,No,night owl,Yes
-LEC002,18,Data Science,,53706,pepperoni,Yes,No,night owl,No
-LEC002,24,Business: Other,,53711,sausage,Yes,No,night owl,Yes
-LEC001,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC003,20,Business: Actuarial,,53703,pepperoni,No,Yes,night owl,No
-LEC001,21,Data Science,Economics,53715,pineapple,Yes,No,night owl,Maybe
-LEC001,23,Other,"Marketing, Data science ",,none (just cheese),No,No,early bird,Maybe
-LEC002,22,Engineering: Biomedical,,53703,pepperoni,Yes,Yes,night owl,No
-LEC003,18,Computer Science,,53703,sausage,Yes,No,night owl,Yes
-LEC003,19,Science: Physics,Astronomy-Physics ,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,19,Engineering: Mechanical,,53715,pepperoni,Yes,No,early bird,No
-LEC001,18,Data Science,,53706,pepperoni,Yes,Yes,early bird,Yes
-LEC001,18,Business: Information Systems,,53706,pepperoni,No,No,night owl,Yes
-LEC002,20,Mathematics/AMEP,data and risk analysis (data science),53726,pineapple,Yes,No,night owl,Yes
-LEC001,18,Other,,53706,mushroom,Yes,No,no preference,Yes
-LEC002,20,Science: Biology/Life,Economics with Math Emphasis,53703,pepperoni,Yes,No,early bird,Yes
-LEC001,18,Data Science,,53706,none (just cheese),Yes,No,night owl,Yes
-LEC001,,Statistics,Econ,,pineapple,No,No,night owl,Maybe
-LEC003,19,Engineering: Biomedical,,53706,pineapple,Yes,No,night owl,Yes
-LEC003,18,Engineering: Mechanical,,53706,Other,Yes,Yes,night owl,Yes
-LEC003,18,Engineering: Biomedical,,53089,pepperoni,Yes,No,night owl,Yes
-LEC003,18,Mathematics/AMEP,,53703,sausage,No,No,no preference,Maybe
-LEC001,18,Data Science,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC003,19,Data Science,,53706,pepperoni,Yes,No,early bird,Yes
-LEC003,21,Engineering: Biomedical,,53726,sausage,Yes,No,early bird,Maybe
-LEC004,22,Business: Other,,53703,green pepper,Yes,Yes,night owl,Yes
-LEC002,19,Engineering: Mechanical,computer science,53706,pineapple,Yes,Yes,night owl,Maybe
-LEC004,21,Science: Biology/Life,,53703,sausage,Yes,No,early bird,No
-LEC002,18,Engineering: Other,,53706,sausage,Yes,Yes,night owl,Maybe
-LEC001,20,Data Science,Economics,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC003,19,Engineering: Industrial,,53703,pepperoni,Yes,Yes,early bird,Maybe
-LEC003,21,Computer Science,no,53703,pineapple,Yes,No,night owl,No
-LEC002,20,Engineering: Mechanical,,53706,mushroom,Yes,No,night owl,Yes
-LEC003,21,Business: Finance,,53715,pepperoni,Yes,No,night owl,Yes
-LEC001,20,Science: Other,,53703,Other,Yes,Yes,night owl,Maybe
-LEC001,20,Engineering: Other,,53715,pepperoni,Yes,Yes,night owl,Yes
-LEC003,19,Engineering: Biomedical,,53706,green pepper,Yes,Yes,early bird,No
-LEC002,19,Engineering: Mechanical,"German Certificate, Theatre Certificate",53706,pepperoni,Yes,No,night owl,Yes
-LEC001,20,Engineering: Biomedical,,53703,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Statistics,,53715,sausage,Yes,No,night owl,Yes
-LEC001,18,Engineering: Industrial,,53706,none (just cheese),Yes,No,night owl,Maybe
-LEC004,22,Data Science,Economics,53703,pepperoni,Yes,No,night owl,Maybe
-LEC001,18,Other,,53703,pepperoni,Yes,No,night owl,Yes
-LEC002,19,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC001,23,Other,Biological Anthropology,53705,none (just cheese),Yes,No,early bird,Yes
-LEC001,19,Engineering: Biomedical,,53706,pineapple,Yes,Yes,no preference,Maybe
-LEC004,19,Business: Actuarial,econ,53715,sausage,Yes,No,night owl,Yes
-LEC001,18,Engineering: Mechanical,,53703,macaroni/pasta,Yes,No,night owl,Yes
-LEC002,18,Business: Other,,53706,mushroom,No,No,night owl,Maybe
-LEC002,20,Other,,53703,mushroom,Yes,Yes,no preference,Yes
-LEC002,19,Business: Actuarial,,53703,Other,Yes,No,no preference,Maybe
-LEC001,21,Business: Other,,53715,pepperoni,Yes,No,night owl,Yes
-LEC001,21,Business: Other,econ with math emphasis,53715,mushroom,Yes,Yes,night owl,Maybe
-LEC004,21,Science: Biology/Life,,53703,none (just cheese),Yes,No,night owl,Maybe
-LEC004,22,Other,"Psychology, communications",53715,basil/spinach,Yes,No,night owl,Yes
-LEC003,18,Statistics,,53706,pepperoni,Yes,Yes,night owl,Maybe
-LEC001,20,Statistics,,53703,pepperoni,Yes,Yes,night owl,Maybe
-LEC002,21,Data Science,,,pepperoni,Yes,Yes,no preference,Maybe
-LEC001,18,Engineering: Biomedical,,,sausage,Yes,Yes,early bird,No
-LEC003,20,Statistics,,53706,sausage,Yes,No,night owl,No
-LEC002,21,Business: Other,,53703,pineapple,Yes,Yes,night owl,Maybe
-LEC001,22,Data Science,,53715,pineapple,Yes,Yes,night owl,Maybe
-LEC003,25,Computer Science,,53705,mushroom,Yes,No,night owl,Yes
-LEC004,20,Other,,53715,pepperoni,Yes,Yes,early bird,Yes
-LEC002,19,Computer Science,"ds,econ",53711,Other,Yes,No,night owl,No
-LEC002,18,Other,,53706,pepperoni,No,No,night owl,Yes
-LEC002,21,Business: Actuarial,Management,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Business: Finance,Data science,53703,pepperoni,No,No,no preference,Maybe
-LEC003,18,Engineering: Mechanical,,53703,pineapple,Yes,Yes,no preference,No
-LEC001,21,Business: Other,"Consumer Behavior & Marketplace Studies, Data Science",53703,pepperoni,Yes,No,night owl,No
-LEC002,20,Business: Finance,,53715,sausage,Yes,No,night owl,Yes
-LEC001,19,Other,Psychology,53703,pepperoni,No,Yes,night owl,Yes
-LEC003,18,Engineering: Biomedical,,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Business: Information Systems,,53711,sausage,Yes,No,night owl,No
-LEC003,21,Computer Science,,53715,sausage,No,Yes,early bird,Yes
-LEC004,20,Business: Other,,53703,pineapple,Yes,Yes,early bird,Yes
-LEC001,,Other,,53706,pineapple,Yes,No,no preference,Maybe
-LEC001,18,Statistics,economics,53703,pineapple,Yes,No,no preference,Yes
-LEC003,19,Business: Finance,,53706,mushroom,Yes,No,night owl,Maybe
-LEC001,18,Computer Science,Data Science,53706,mushroom,No,No,night owl,Maybe
-LEC003,20,Statistics,,53703,pepperoni,Yes,No,night owl,Yes
-LEC002,19,Engineering: Biomedical,,,macaroni/pasta,Yes,No,night owl,Yes
-LEC003,19,Data Science,,53715,green pepper,Yes,No,early bird,Maybe
-LEC001,19,Other,Psychology,53703,pepperoni,Yes,Yes,night owl,Maybe
-LEC003,21,Business: Finance,Economics,53703,pepperoni,Yes,No,night owl,Maybe
-LEC002,24,Engineering: Other,,53703,sausage,Yes,No,night owl,Yes
-LEC003,19,Engineering: Industrial,,53703,pepperoni,Yes,Yes,no preference,Maybe
-LEC002,20,Engineering: Other,"urban & regional planning, environmental engineering, data science",53706-1406,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC003,23,Engineering: Other,,53705,pepperoni,No,Yes,night owl,Yes
-LEC001,19,Science: Biology/Life,,53703,pepperoni,Yes,No,early bird,No
-LEC001,18,Data Science,,53706,basil/spinach,Yes,No,night owl,Maybe
-LEC003,19,Business: Information Systems,,53703,macaroni/pasta,Yes,No,night owl,Yes
-LEC003,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC004,18,Science: Biology/Life,,53706,pepperoni,Yes,Yes,early bird,No
-LEC003,27,Science: Biology/Life,,53705,mushroom,Yes,No,early bird,Maybe
-LEC004,,Computer Science,,53715,pepperoni,Yes,No,night owl,Yes
-LEC004,20,Engineering: Biomedical,,53715,pepperoni,Yes,Yes,early bird,No
-LEC001,18,Computer Science,,53706,none (just cheese),No,Yes,night owl,Yes
-LEC004,17,Science: Biology/Life,Data science certificate,53706,pepperoni,Yes,No,no preference,Maybe
-LEC002,19,Data Science,"Econ, data science",53715,Other,Yes,No,night owl,Maybe
-LEC001,18,Computer Science,Data Science,53706,mushroom,No,No,night owl,Yes
-LEC002,18,Data Science,Economics,,pineapple,No,Yes,no preference,Yes
-LEC002,18,Engineering: Industrial,,53703-1104,sausage,Yes,No,night owl,Maybe
-LEC001,20,Business: Actuarial,Risk Management & Insurance,53703,pepperoni,Yes,No,early bird,No
-LEC001,19,Data Science,,53715,mushroom,Yes,Yes,no preference,Maybe
-LEC001,18,Engineering: Mechanical,,53706-1127,pepperoni,Yes,Yes,night owl,Yes
-LEC003,18,Engineering: Other,,53703,Other,No,Yes,early bird,No
-LEC001,24,Science: Other,data science,53715,pepperoni,Yes,Yes,early bird,Yes
-LEC004,19,Engineering: Biomedical,,53715,green pepper,Yes,No,early bird,Yes
-LEC003,20,Engineering: Biomedical,,53703,pepperoni,Yes,Yes,early bird,Maybe
-LEC003,21,Mathematics/AMEP,Biochemistry,53715,none (just cheese),Yes,Yes,early bird,No
-LEC003,20,Business: Other,,53706,sausage,Yes,No,night owl,Maybe
-LEC003,19,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,no preference,Yes
-LEC003,21,Engineering: Industrial,,53711,basil/spinach,No,Yes,night owl,Yes
-LEC001,20,Engineering: Industrial,,53703,pepperoni,Yes,Yes,no preference,No
-LEC003,18,Engineering: Industrial,,53706,sausage,Yes,Yes,night owl,No
-LEC003,20,Science: Biology/Life,Global Health,55416,pineapple,Yes,Yes,night owl,Yes
-LEC003,18,Engineering: Biomedical,,53706,basil/spinach,No,No,no preference,Maybe
-LEC003,19,Business: Other,,53706,sausage,Yes,No,night owl,Yes
-LEC003,18,Engineering: Industrial,,53706,green pepper,Yes,Yes,night owl,Yes
-LEC004,20,Data Science,Economics - math emphasis,53703,pepperoni,Yes,No,no preference,Yes
-LEC003,19,Business: Information Systems," Operations, Technology, Management",53715,pepperoni,Yes,No,night owl,Maybe
-LEC004,21,Engineering: Other,,53706,pineapple,No,Yes,early bird,No
-LEC003,19,Engineering: Mechanical,,53715,Other,Yes,No,early bird,No
-LEC003,20,Computer Science,Data Science,53703,none (just cheese),No,Yes,night owl,Maybe
-LEC003,18,Science: Biology/Life,Data science,53706,sausage,Yes,No,night owl,No
-LEC004,20,Engineering: Mechanical,,53715,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC002,,Business: Other,Double Business Major (Supply Chain and Business Management),53703,basil/spinach,Yes,No,night owl,Maybe
-LEC003,18,Business: Finance,,53715,none (just cheese),No,Yes,night owl,Yes
-LEC002,20,Engineering: Industrial,,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC001,22,Data Science,Stat or CS,53705,basil/spinach,Yes,Yes,early bird,No
-LEC003,20,Business: Information Systems,"International Business, French",53703,basil/spinach,Yes,Yes,early bird,No
-LEC004,19,Engineering: Other,,53706,none (just cheese),Yes,Yes,night owl,Maybe
-LEC002,20,Other,ECONOMICS,53715,none (just cheese),Yes,Yes,night owl,Maybe
-LEC004,19,Engineering: Mechanical, ,53715,pepperoni,Yes,No,night owl,Maybe
-LEC004,19,Engineering: Mechanical,,53715,pepperoni,Yes,Yes,no preference,Yes
-LEC004,20,Statistics,,53703,pepperoni,Yes,No,early bird,Yes
-LEC001,19,Business: Actuarial,RMI,53706,basil/spinach,Yes,Yes,night owl,Yes
-LEC001,20,Engineering: Biomedical,,53703,sausage,No,Yes,night owl,Yes
-LEC004,19,Engineering: Biomedical,,53706,basil/spinach,Yes,No,early bird,Yes
-LEC003,18,Data Science,,53706,none (just cheese),Yes,No,night owl,Maybe
-LEC001,21,Computer Science,,53703,Other,Yes,Yes,night owl,Maybe
-LEC001,19,Engineering: Industrial,,53706,pepperoni,Yes,No,night owl,No
-LEC004,20,Science: Other,,53713,pineapple,Yes,Yes,night owl,Maybe
-LEC004,18,Data Science,,53706,macaroni/pasta,Yes,No,night owl,Yes
-LEC004,20,Engineering: Industrial,NA,54636,macaroni/pasta,Yes,Yes,early bird,Maybe
-LEC001,19,Computer Science,,53711,mushroom,Yes,No,night owl,Yes
-LEC004,19,Computer Science,,53711,sausage,No,No,night owl,Maybe
-LEC004,19,Engineering: Biomedical,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC004,19,Engineering: Mechanical,,53711,macaroni/pasta,Yes,No,night owl,Yes
-LEC004,19,Engineering: Mechanical,,53597,pepperoni,No,Yes,night owl,No
-LEC004,18,Engineering: Biomedical,,53706,sausage,Yes,Yes,night owl,Maybe
-LEC004,18,Computer Science,Data science,53706,basil/spinach,No,Yes,no preference,Maybe
-LEC004,21,Engineering: Biomedical,,53703,sausage,Yes,Yes,night owl,Yes
-LEC004,19,Business: Information Systems,Accounting,53706,mushroom,Yes,No,night owl,No
-LEC004,18,Engineering: Other,,53706,sausage,Yes,Yes,night owl,Yes
-LEC004,20,Data Science,,53715,Other,Yes,No,night owl,Yes
-LEC004,18,Engineering: Mechanical,,53706,mushroom,Yes,Yes,night owl,Yes
-LEC004,18,Engineering: Mechanical,,53706,macaroni/pasta,Yes,Yes,no preference,Maybe
-LEC001,18,Engineering: Biomedical,,53706,Other,No,No,night owl,Maybe
-LEC004,19,Business: Finance,Industrial Engineering,53706,sausage,Yes,No,night owl,Maybe
-LEC001,18,Business: Other,Main one is economics and data science,53706,pepperoni,No,No,no preference,Maybe
-LEC004,18,Engineering: Industrial,,83001,sausage,Yes,Yes,night owl,Yes
-LEC004,20,Engineering: Biomedical,,53715,pepperoni,Yes,Yes,night owl,Maybe
-LEC004,18,Engineering: Mechanical,,53706,none (just cheese),No,No,night owl,Yes
-LEC004,20,Other,,53715,sausage,No,No,night owl,Maybe
-LEC004,19,Business: Information Systems,Business: Supply Chain Management,53703,pepperoni,Yes,No,no preference,Maybe
-LEC004,20,Other,,53703,basil/spinach,Yes,No,night owl,Yes
-LEC004,18,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC004,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,27,Computer Science,,53711,mushroom,Yes,Yes,no preference,Yes
-LEC004,19,Business: Actuarial,,53706-1188,sausage,Yes,No,no preference,Yes
-LEC004,21,Other,,53703,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Business: Other,,53703,pepperoni,Yes,No,no preference,Maybe
-LEC004,18,Business: Finance,Data Science,53706,basil/spinach,Yes,No,night owl,Yes
-LEC004,18,Science: Physics,,53706,mushroom,Yes,No,night owl,Yes
-LEC002,19,Mathematics/AMEP,Actuarial Science,53706,sausage,Yes,Yes,night owl,Yes
-LEC004,19,Business: Finance,data science,53706,pepperoni,Yes,Yes,no preference,Maybe
-LEC002,19,Data Science,"Electrical engineering, physics",53703,none (just cheese),Yes,No,night owl,Yes
-LEC004,21,Engineering: Biomedical,History Certificate ,53715,green pepper,Yes,No,no preference,Maybe
-LEC001,19,Business: Finance,,53703,sausage,Yes,Yes,night owl,Maybe
-LEC001,18,Business: Finance,,53703,pepperoni,Yes,No,night owl,Yes
-LEC004,21,Engineering: Mechanical,Mechanical Engineering ,53703,green pepper,No,No,no preference,No
-LEC004,19,Business: Information Systems,,53706,pepperoni,Yes,Yes,no preference,Maybe
-LEC002,18,Computer Science,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC001,21,Computer Science,,43706,mushroom,Yes,Yes,no preference,Yes
-LEC002,20,Business: Finance,Data Science,53703,pepperoni,No,Yes,no preference,No
-LEC002,20,Engineering: Biomedical,,53703,pineapple,Yes,Yes,early bird,Maybe
-LEC001,19,Business: Actuarial,risk management and insurance,53711,pepperoni,No,No,night owl,Yes
-LEC002,21,Other,"Linguistics, Communication Sciences and Disorders",53715,green pepper,Yes,Yes,night owl,No
-LEC001,19,Engineering: Mechanical,,53706,none (just cheese),Yes,Yes,night owl,Yes
-LEC002,18,Engineering: Mechanical,,53706,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC001,19,Data Science,,53703,pineapple,Yes,No,night owl,Yes
-LEC001,18,Science: Biology/Life,"Either stats, data science, or math (undecided)",53706,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC001,19,Data Science,Mathematics,53703,green pepper,Yes,Yes,night owl,Maybe
-LEC001,23,Business: Other,,53711,pineapple,Yes,No,night owl,Maybe
-LEC001,20,Data Science,economics,53703,none (just cheese),Yes,No,early bird,Yes
-LEC001,18,Computer Science,Planning on Data Sci but unsure,53708,macaroni/pasta,Yes,No,night owl,Yes
-LEC002,18,Science: Other,,53706,pepperoni,Yes,No,early bird,Maybe
-LEC001,18,Computer Science,,53706,green pepper,Yes,Yes,night owl,Yes
-LEC001,19,Statistics,,53703,pineapple,Yes,No,night owl,No
-LEC001,20,Computer Science,Data Science,53703,pepperoni,Yes,Yes,no preference,Yes
-LEC001,19,Business: Information Systems,,53706,basil/spinach,Yes,No,night owl,Yes
-LEC001,19,Data Science,,53703,pineapple,No,Yes,night owl,Maybe
-LEC001,18,Engineering: Mechanical,,53706,macaroni/pasta,Yes,Yes,night owl,No
-LEC001,18,Data Science,,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Engineering: Industrial,Data Science,53706,green pepper,Yes,No,night owl,Yes
-LEC004,21,Other,,53726,sausage,Yes,No,night owl,Yes
-LEC001,19,Engineering: Mechanical,,53704,sausage,Yes,No,no preference,Yes
-LEC001,18,Computer Science,Data Science,53706,pepperoni,No,Yes,no preference,No
-LEC001,19,Other,,53705,pepperoni,No,No,night owl,Yes
-LEC001,21,Computer Science,data science,53706,pineapple,No,No,night owl,Yes
-LEC001,19,Statistics,,53703,sausage,Yes,No,night owl,Maybe
-LEC001,19,Science: Chemistry,,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,20,Other,legal study,53705,sausage,Yes,No,no preference,Maybe
-LEC001,19,Statistics,biochemistry,53703,pineapple,Yes,No,no preference,Yes
-LEC001,22,Engineering: Biomedical,,,basil/spinach,Yes,Yes,night owl,Maybe
-LEC001,19,Engineering: Industrial,,53706,sausage,Yes,No,night owl,Yes
-LEC003,19,Engineering: Mechanical,,53711,sausage,Yes,No,no preference,Yes
-LEC001,19,Engineering: Mechanical,,53703,none (just cheese),Yes,Yes,night owl,Yes
-LEC001,21,Computer Science,Computer Engineering,53703,sausage,No,No,night owl,Yes
-LEC003,20,Engineering: Mechanical,,53703,sausage,No,No,night owl,No
-LEC001,21,Computer Science,Electrical Engineering,53715,pepperoni,Yes,Yes,night owl,Maybe
-LEC001,19,Engineering: Industrial,Business,53706,pepperoni,Yes,Yes,night owl,Maybe
-LEC001,18,Other,,53706,none (just cheese),Yes,No,night owl,Yes
-LEC001,18,Science: Biology/Life,"Data Science Minor, French",53706,pineapple,Yes,No,night owl,Yes
-LEC001,21,Other,,53703,mushroom,Yes,Yes,early bird,Yes
-LEC001,22,Computer Science,DS,53711,Other,Yes,No,no preference,Maybe
-LEC003,19,Other,,53703,pepperoni,No,No,no preference,Yes
-LEC001,19,Data Science,,53706,Other,No,Yes,early bird,Yes
-LEC002,18,Engineering: Mechanical,Minor in Business ,53706,sausage,Yes,No,no preference,Yes
-LEC001,21,Engineering: Other,Civil Engineering,53715,Other,No,Yes,no preference,Yes
-LEC002,19,Statistics,Economics,53703,pepperoni,Yes,No,night owl,Yes
-LEC002,20,Business: Actuarial,,53703,sausage,Yes,No,night owl,No
-LEC001,24,Business: Other,,53703,green pepper,No,No,early bird,Maybe
-LEC004,18,Engineering: Biomedical,,53706,sausage,Yes,No,no preference,No
-LEC001,23,Other,,53703,pineapple,Yes,No,night owl,Yes
-LEC003,19,Statistics,,53706,none (just cheese),Yes,Yes,early bird,Yes
-LEC002,18,Other,,53706,basil/spinach,Yes,No,night owl,Yes
-LEC001,20,Statistics,,53703,mushroom,Yes,Yes,night owl,Yes
-LEC004,18,Computer Science,Data Science,,none (just cheese),Yes,Yes,night owl,Yes
-LEC002,19,Engineering: Mechanical,,53706,Other,Yes,No,no preference,Yes
-LEC002,22,Science: Biology/Life,,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC003,,Computer Science,Possibly Data Science (Definitely a Certificate),53706,Other,No,No,night owl,Yes
-LEC002,19,Engineering: Mechanical,,53562,pepperoni,Yes,Yes,night owl,Yes
-LEC002,19,Other,Data Science,53715,green pepper,Yes,Yes,no preference,Yes
-LEC003,18,Statistics,,53706,Other,No,No,night owl,Yes
-LEC004,19,Engineering: Mechanical,,53715,sausage,Yes,No,night owl,Yes
-LEC003,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC002,21,Business: Other,,53703,mushroom,No,No,no preference,Yes
-LEC003,19,Business: Information Systems,,53711,pepperoni,Yes,No,night owl,Yes
-LEC002,19,Business: Actuarial,,53706,sausage,No,No,night owl,Yes
-LEC002,21,Data Science,,53703,sausage,Yes,Yes,night owl,Yes
-LEC001,23,Data Science,,53705,mushroom,Yes,No,night owl,Yes
-LEC002,20,Computer Science,Data Science,53726,pineapple,Yes,Yes,night owl,Maybe
-LEC003,18,Engineering: Industrial,,53706,pepperoni,Yes,No,night owl,Yes
-LEC002,27,Data Science,,53705,basil/spinach,Yes,No,night owl,Yes
-LEC002,18,Computer Science,Data Science,53706,mushroom,Yes,No,early bird,Yes
-LEC001,22,Data Science,,53706,sausage,Yes,No,night owl,Yes
-LEC002,20,Computer Science,,53715,pepperoni,No,Yes,night owl,Yes
-LEC002,21,Data Science,,53703,macaroni/pasta,No,No,night owl,No
-LEC002,20,Computer Science,,,mushroom,Yes,No,early bird,Maybe
-LEC001,19,Computer Science,prolly data science,92376,pepperoni,Yes,No,night owl,Yes
-LEC002,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC002,19,Engineering: Mechanical,,,none (just cheese),Yes,No,night owl,Yes
-LEC002,19,Data Science,,53717,none (just cheese),Yes,No,night owl,Yes
-LEC002,22,Science: Other,,53715,green pepper,Yes,Yes,early bird,Yes
-LEC002,19,Engineering: Biomedical,,53706,sausage,Yes,No,early bird,No
-LEC002,20,Business: Finance,,53703,pepperoni,Yes,No,early bird,No
-LEC002,18,Business: Actuarial,,53706,pepperoni,Yes,No,early bird,No
-LEC002,19,Engineering: Mechanical,,53706,Other,Yes,No,night owl,Yes
-LEC002,20,Data Science,economics,internation student,mushroom,Yes,Yes,early bird,Maybe
-LEC003,19,Engineering: Mechanical,,,Other,No,No,night owl,Yes
-LEC002,19,Engineering: Industrial,,53703,sausage,No,Yes,night owl,Yes
-LEC002,19,Engineering: Mechanical,,53701,pepperoni,Yes,Yes,no preference,Yes
-LEC002,22,Computer Science,,53703,sausage,Yes,No,night owl,Yes
-LEC001,19,Engineering: Industrial,,53715,pepperoni,Yes,No,no preference,Maybe
-LEC002,18,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Maybe
-LEC002,23,Mathematics/AMEP,,53719,sausage,No,Yes,early bird,Yes
-LEC002,18,Engineering: Industrial,,53706,pineapple,No,Yes,no preference,Maybe
-LEC002,20,Other,Communication Arts,53711,sausage,Yes,Yes,no preference,Maybe
-LEC002,21,Business: Information Systems,Finance ,53703,pepperoni,Yes,Yes,night owl,Maybe
-LEC002,21,Science: Physics,Astrophysics,,macaroni/pasta,Yes,No,no preference,Maybe
-LEC002,21,Science: Biology/Life,,53703,green pepper,Yes,No,early bird,Maybe
-LEC003,21,Engineering: Other,,53706,none (just cheese),Yes,No,early bird,Maybe
-LEC002,19,Data Science,Economics,53715,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Data Science,,53706,none (just cheese),No,Yes,night owl,Yes
-LEC001,20,Statistics,"economics, social science",53715,pepperoni,No,No,no preference,Yes
-LEC004,19,Business: Other,"Information systems, Data science",53706,sausage,Yes,Yes,night owl,Yes
-LEC004,18,Computer Science,,53706,basil/spinach,Yes,No,no preference,Yes
-LEC003,18,Computer Science,,53703,pepperoni,Yes,No,night owl,Yes
-LEC003,,Mathematics/AMEP,,,mushroom,No,Yes,night owl,Yes
-LEC004,19,Data Science,,53706,mushroom,Yes,No,night owl,Yes
-LEC001,19,Science: Chemistry,Data Science,53706,sausage,Yes,No,night owl,No
-LEC002,19,Mathematics/AMEP,,53703,Other,No,No,night owl,Yes
-LEC003,18,Other,,53703,pineapple,No,No,early bird,No
-LEC004,19,Engineering: Mechanical,,53703,pepperoni,Yes,No,early bird,Yes
-LEC003,19,Statistics,thinking about a data science certificate or switching major to data science,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Other,,53706,pepperoni,Yes,Yes,night owl,Maybe
-LEC003,18,Statistics,data science,53706,pineapple,No,No,night owl,Maybe
-LEC003,21,Computer Science,,53705,mushroom,Yes,No,night owl,Maybe
-LEC002,21,Other,Data Science,53705,sausage,Yes,No,night owl,Yes
-LEC003,20,Science: Biology/Life,,53703,pineapple,No,No,early bird,Maybe
-LEC003,18,Other,,53715,pepperoni,Yes,No,early bird,No
-LEC004,18,Engineering: Biomedical,,53706,pepperoni,Yes,Yes,early bird,Yes
-LEC001,21,Computer Science,,53715,macaroni/pasta,Yes,No,night owl,Yes
-LEC003,21,Science: Other,Data Science,53711,mushroom,Yes,Yes,night owl,Yes
-LEC004,19,Engineering: Mechanical,,,sausage,No,No,early bird,No
-LEC002,20,Engineering: Industrial,,53715,mushroom,No,No,night owl,Yes
-LEC002,19,Engineering: Mechanical,,53706,pepperoni,Yes,No,no preference,No
-LEC002,22,Science: Physics,,53703,sausage,Yes,No,night owl,Yes
-LEC004,19,Engineering: Other,,53706,sausage,Yes,Yes,no preference,Maybe
-LEC001,19,Engineering: Biomedical,,53711,macaroni/pasta,Yes,No,night owl,Yes
-LEC001,23,Data Science,,53703,mushroom,Yes,Yes,night owl,Maybe
-LEC001,20,Engineering: Industrial,,53703,pepperoni,Yes,No,night owl,Yes
-LEC003,18,Science: Other,,53706,pineapple,Yes,Yes,night owl,Yes
-LEC003,25,Computer Science,,53713,sausage,Yes,No,night owl,Yes
-LEC001,31,Data Science,,53575,sausage,Yes,Yes,early bird,Maybe
-LEC001,19,Data Science,,53715,pepperoni,Yes,Yes,night owl,Yes
-LEC002,21,Computer Science,,53703,pepperoni,Yes,No,night owl,Yes
-LEC003,20,Business: Actuarial,Risk Management and Insurance,53715,pepperoni,Yes,No,night owl,No
-LEC004,19,Data Science,,53715,pepperoni,Yes,Yes,night owl,Yes
-LEC001,19,Computer Science,,53706,mushroom,Yes,No,early bird,Maybe
-LEC001,19,Mathematics/AMEP,,,pepperoni,Yes,No,night owl,Maybe
-LEC001,19,Engineering: Mechanical,,53705,sausage,Yes,No,night owl,Yes
-LEC004,19,Engineering: Mechanical,,53706,pineapple,Yes,No,night owl,Yes
-LEC002,19,Science: Physics,,53706,Other,Yes,No,no preference,Yes
-LEC001,21,Computer Science,Data science,53703,basil/spinach,No,Yes,night owl,No
-LEC003,19,Mathematics/AMEP,data science,53706,sausage,Yes,No,night owl,Yes
-LEC002,18,Science: Biology/Life,data science certificate,53706,pineapple,Yes,Yes,night owl,Yes
-LEC004,18,Statistics,,53706,sausage,No,Yes,night owl,Yes
-LEC003,21,Engineering: Industrial,,53562,pepperoni,Yes,No,night owl,Maybe
-LEC001,20,Engineering: Mechanical,,53715,green pepper,Yes,No,early bird,Yes
-LEC003,19,Engineering: Mechanical,,,pineapple,No,No,early bird,No
-LEC003,20,Statistics,,53703,mushroom,Yes,Yes,no preference,No
-LEC002,18,Engineering: Mechanical,"Industrial, Buisness",53701,pepperoni,No,No,night owl,Maybe
-LEC001,18,Other,Legal Studies,53706,mushroom,No,No,night owl,Yes
-LEC001,20,Data Science,,53703,none (just cheese),Yes,Yes,night owl,Yes
-LEC001,21,Other,,53703,Other,Yes,Yes,no preference,Maybe
-LEC001,22,Engineering: Biomedical,pre-med,53715,none (just cheese),Yes,Yes,no preference,Yes
-LEC003,20,Other,"Philosophy, Data Science Certificate, Pre-Med",53703,basil/spinach,No,Yes,early bird,Yes
-LEC001,21,Business: Finance,Economics,53703,basil/spinach,Yes,No,night owl,Yes
-LEC003,19,Statistics,,53705,none (just cheese),Yes,Yes,no preference,Yes
-LEC001,18,Engineering: Industrial,,53703,sausage,Yes,Yes,night owl,Yes
-LEC003,21,Science: Biology/Life,My majors are Environmental Science and Spanish,53703,macaroni/pasta,Yes,No,night owl,Maybe
-LEC001,18,Other,,,pepperoni,Yes,No,no preference,Yes
-LEC004,23,Science: Physics,Astronomy,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC002,21,Computer Science,,53711,sausage,Yes,No,night owl,Maybe
-LEC002,18,Engineering: Mechanical,,53706,sausage,Yes,Yes,early bird,Yes
-LEC003,19,Engineering: Other,Environmental Science,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,19,Science: Other,Life science communications,53706,Other,Yes,No,night owl,Maybe
-LEC004,21,Engineering: Mechanical,,53703,sausage,Yes,Yes,no preference,No
-LEC001,20,Computer Science,,53703,pineapple,Yes,No,night owl,Yes
-LEC001,20,Other,,53703,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC001,22,Other,"psychology, legal studies, certificate in criminal justice ",53711,sausage,Yes,No,night owl,Maybe
-LEC002,21,Data Science,,53711,none (just cheese),Yes,No,night owl,Yes
-LEC003,21,Other,,53703,mushroom,Yes,No,early bird,Yes
-LEC002,20,Engineering: Industrial,,53703,pineapple,Yes,Yes,early bird,Yes
-LEC001,19,Computer Science,data science,53706,pineapple,No,No,night owl,No
-LEC003,19,Statistics,Data Science,53703,pineapple,No,No,night owl,Maybe
-LEC001,20,Computer Science,,53726,none (just cheese),Yes,No,night owl,Yes
-LEC002,,Computer Science,,,pepperoni,Yes,No,night owl,Maybe
-LEC001,18,Computer Science,,53706,pineapple,No,No,no preference,Maybe
-LEC001,19,Computer Science,data science,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC003,19,Other,Undecided in STEM,53706,pepperoni,No,No,night owl,No
-LEC001,18,Computer Science,data science,53590,Other,No,No,night owl,Yes
-LEC004,18,Other,,53706,Other,Yes,No,night owl,Maybe
-LEC003,19,Data Science,,53706,basil/spinach,Yes,No,no preference,Maybe
-LEC001,19,Business: Finance,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC001,19,Engineering: Industrial,,53704,basil/spinach,No,No,no preference,Yes
-LEC004,18,Engineering: Other,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC002,18,Computer Science,,,macaroni/pasta,Yes,Yes,night owl,Yes
-LEC003,20,Engineering: Biomedical,,53715,none (just cheese),Yes,Yes,no preference,Maybe
-LEC001,18,Other,,52816,none (just cheese),Yes,No,night owl,Yes
-LEC002,18,Engineering: Mechanical,Computes Science Certificate Potentially,53706,sausage,Yes,Yes,night owl,Yes
-LEC002,18,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,no preference,No
-LEC003,20,Business: Finance,Business: Risk Management ,53703,sausage,Yes,Yes,night owl,Yes
-LEC001,19,Science: Chemistry,,53706,pineapple,Yes,No,night owl,Yes
-LEC001,20,Engineering: Mechanical,,59301,pepperoni,Yes,Yes,no preference,Maybe
-LEC001,22,Mathematics/AMEP,Economics ,53715,basil/spinach,Yes,Yes,early bird,No
-LEC001,22,Other,,53703,green pepper,Yes,Yes,night owl,Yes
-LEC001,19,Engineering: Other,,53715,none (just cheese),Yes,Yes,night owl,No
-LEC002,18,Engineering: Mechanical,,53706,sausage,Yes,Yes,night owl,Yes
-LEC001,23,Engineering: Other,,53711,green pepper,Yes,Yes,no preference,Maybe
-LEC001,18,Science: Chemistry,,53706,sausage,Yes,Yes,night owl,No
-LEC001,23,Engineering: Mechanical,,53715,pepperoni,Yes,Yes,night owl,Maybe
-LEC002,19,Data Science,Economics,53706,macaroni/pasta,No,No,early bird,Yes
-LEC001,20,Engineering: Industrial,"Science: Other, Economics",53703,sausage,Yes,Yes,early bird,No
-LEC003,21,Data Science,"Economics, Social Science",53703,sausage,Yes,Yes,no preference,Maybe
-LEC002,18,Data Science,,10306,none (just cheese),Yes,No,night owl,Maybe
-LEC002,20,Mathematics/AMEP,Environmental Sciences,53715,pepperoni,No,No,night owl,Maybe
-LEC002,18,Statistics,,53706,pepperoni,Yes,No,night owl,Maybe
-LEC003,21,Engineering: Mechanical,,53715,pepperoni,Yes,Yes,night owl,Yes
-LEC002,20,Engineering: Biomedical,,53703,pepperoni,Yes,No,night owl,Yes
-LEC002,19,Data Science,,53703,pineapple,Yes,No,no preference,Yes
-LEC001,21,Engineering: Other,,53715,mushroom,No,No,early bird,Maybe
-LEC003,18,Data Science,possibly Statistics / Math,53706,mushroom,Yes,No,night owl,Yes
-LEC002,,Business: Other,,,pepperoni,Yes,No,early bird,No
-LEC002,19,Other,,53706,pepperoni,Yes,No,night owl,Yes
-LEC001,19,Engineering: Other,,53706,pineapple,Yes,No,night owl,Maybe
-LEC003,19,Computer Science,data science I havent decided on a major yet but it might be either one of these,53726,none (just cheese),No,No,night owl,Maybe
-LEC003,20,Business: Finance,,53703,Other,Yes,No,night owl,Yes
-LEC001,21,Science: Other,,53703,sausage,No,No,night owl,Yes
-LEC001,20,Other,,53703,pepperoni,No,No,night owl,Yes
-LEC004,20,Engineering: Other,,53703,none (just cheese),Yes,No,night owl,Yes
-LEC001,21,Business: Information Systems,,53703,Other,Yes,Yes,no preference,No
-LEC003,21,Mathematics/AMEP,,,mushroom,No,No,night owl,Yes
-LEC001,18,Other,,53703,mushroom,Yes,No,night owl,Yes
-LEC003,19,Business: Actuarial,,53175,sausage,Yes,Yes,early bird,Yes
-LEC003,20,Engineering: Mechanical,Naval Architecture & Marnie Engineering (self-tutored),53711,green pepper,Yes,No,night owl,Maybe
-LEC002,20,Business: Other,,53703,pineapple,Yes,No,night owl,Maybe
-LEC003,20,Data Science,"computer science, stats ",53711,pineapple,Yes,No,early bird,Yes
-LEC004,19,Statistics,,53706,pepperoni,Yes,No,night owl,Yes
-LEC003,18,Engineering: Industrial,Data science ,53715,pepperoni,No,Yes,early bird,Maybe
-LEC004,20,Other,"Economics, Data Science",53715,mushroom,Yes,No,no preference,Maybe
-LEC001,19,Engineering: Mechanical,,53706,sausage,Yes,Yes,night owl,Yes
-LEC002,21,Engineering: Mechanical,Spanish,53719,none (just cheese),Yes,Yes,night owl,Maybe
-LEC001,24,Engineering: Industrial,Business,53726,mushroom,Yes,No,night owl,Maybe
-LEC002,20,Other,NA,53703,basil/spinach,Yes,Yes,night owl,Yes
-LEC004,18,Engineering: Mechanical,,53706,sausage,Yes,Yes,early bird,Yes
-LEC001,19,Other,"Data Science Certificate, Economics",53703,sausage,No,Yes,night owl,Yes
-LEC001,18,Engineering: Mechanical,,53706,pepperoni,No,No,night owl,Yes
-LEC003,18,Engineering: Mechanical,,53706,pepperoni,Yes,Yes,night owl,Yes
-LEC004,19,Engineering: Biomedical,,53706,none (just cheese),Yes,No,no preference,Yes
-LEC001,20,Computer Science,,53715,sausage,Yes,No,night owl,Yes
-LEC001,17,Engineering: Mechanical,,53706,pineapple,Yes,No,night owl,Yes
-LEC002,20,Data Science,,53703,pepperoni,Yes,Yes,night owl,Yes
-LEC003,18,Engineering: Mechanical,,53715,pineapple,No,No,night owl,Maybe
-LEC003,19,Engineering: Biomedical,,53703,none (just cheese),Yes,Yes,night owl,Yes
-LEC003,20,Other,Data Science,53715,mushroom,Yes,Yes,early bird,Maybe
-LEC003,19,Mathematics/AMEP,,53705,pineapple,No,No,night owl,Yes
-LEC002,19,Engineering: Mechanical,chemical engineering,53711,green pepper,Yes,No,night owl,Maybe
-LEC003,21,Computer Science,Data Science,53715,mushroom,No,No,night owl,Maybe
-LEC003,19,Data Science,,53590,pepperoni,No,No,no preference,Yes
-LEC001,20,Computer Science,,,pepperoni,Yes,No,early bird,Yes
-LEC001,20,Data Science,"Biology, Bioinformatics",53703,sausage,Yes,No,no preference,Yes
-LEC002,21,Engineering: Mechanical,,53705,none (just cheese),Yes,No,no preference,Maybe
-LEC001,19,Computer Science,Data Science,53706,Other,No,Yes,night owl,No
-LEC001,20,Business: Finance,Data Science,53715,sausage,Yes,Yes,night owl,Yes
-LEC001,19,Data Science,Computer science,53706,pineapple,No,Yes,no preference,Yes
-LEC002,23,Science: Other,Computer Science,53711,pineapple,Yes,Yes,early bird,No
-LEC003,18,Engineering: Mechanical,,53706,sausage,No,No,night owl,No
-LEC001,19,Computer Science,Data Science,53703,Other,No,No,no preference,Maybe
-LEC001,19,Science: Other,,53706,macaroni/pasta,Yes,No,night owl,Yes
-LEC003,19,Other,I do not have a secondary major but my major is International Studies. ,53076,pepperoni,Yes,Yes,early bird,Yes
-LEC001,21,Science: Biology/Life,,53715,pepperoni,Yes,No,night owl,Yes
-LEC001,20,Engineering: Mechanical,,53726,pepperoni,Yes,No,night owl,Yes
-LEC002,20,Engineering: Industrial,,53715,pepperoni,Yes,No,no preference,Yes
-LEC003,20,Science: Biology/Life,Life Science Communication,53703,pepperoni,Yes,No,early bird,Maybe
-LEC002,19,Science: Biology/Life,Data Science,,pepperoni,No,No,no preference,Maybe
-LEC002,22,Computer Science,,53703,sausage,Yes,No,night owl,Yes
-LEC001,20,Business: Information Systems,,53706,mushroom,Yes,No,night owl,Yes
-LEC001,19,Business: Other,,53706,pepperoni,Yes,No,early bird,Yes
-LEC001,21,Other,"Economics/Philosophy, Data Science Certificate",53703,pepperoni,Yes,No,no preference,Yes
-LEC003,19,Computer Science,Data science,53706,pineapple,Yes,Yes,night owl,Yes
\ No newline at end of file
+Lecture,Age,Major,Zip Code,Latitude,Longitude,Pizza topping,Pet preference,Runner,Sleep habit,Procrastinator
+LEC001,22,Engineering: Biomedical,53703,43.073051,-89.40123,none (just cheese),neither,No,no preference,Maybe
+LEC006,,Undecided,53706,43.073051,-89.40123,none (just cheese),neither,No,no preference,Maybe
+LEC004,18,Engineering: Industrial,53715,43.073051,-89.40123,none (just cheese),neither,No,no preference,Maybe
+LEC005,,Undecided,53706,43.073051,-89.40123,none (just cheese),neither,No,no preference,Maybe
+LEC002,,Undecided,53706,43.073051,-89.40123,none (just cheese),neither,No,no preference,Maybe
+LEC004,18,Engineering: Other|Engineering: Computer,53706,43.073051,-89.40123,none (just cheese),neither,No,no preference,Maybe
+LEC003,,Undecided,53706,43.073051,-89.40123,none (just cheese),neither,No,no preference,Maybe
+LEC003,18,Data Science,53715,43.073051,-89.40123,pineapple,cat,Yes,no preference,Maybe
+LEC006,18,Data Science,53706,35.4,119.11,none (just cheese),dog,No,night owl,Yes
+LEC006,18,Mathematics/AMEP,53706,44,-93,pepperoni,dog,No,night owl,Yes
+LEC002,21,Engineering: Other,53703,24.713552,46.675297,none (just cheese),cat,Yes,night owl,Maybe
+LEC003,19,Data Science,53705,24.6806,46.57936,pineapple,cat,No,early bird,No
+LEC004,24,Economics,53703,43,-89,pineapple,cat,Yes,early bird,Yes
+LEC003,18,Data Science,53706,36.102371,-115.174553,none (just cheese),dog,No,night owl,Yes
+LEC006,22,Psychology,53703,31.78,119.95,mushroom,cat,No,night owl,Yes
+LEC005,20,Data Science,53705,37.8,112.5,pepperoni,cat,Yes,night owl,Yes
+LEC004,24,Science: Biology/Life,53703,46.872131,-113.994019,pepperoni,dog,Yes,early bird,Yes
+LEC004,17,Engineering: Mechanical,53706,46.6242,8.0414,pineapple,dog,No,night owl,Yes
+LEC004,19,Engineering: Mechanical,53726,43.073051,-89.40123,none (just cheese),dog,Yes,early bird,No
+LEC002,19,Engineering: Mechanical,57303,41.878113,-87.629799,pineapple,dog,No,night owl,Yes
+LEC001,,Mathematics/AMEP,53706,31.230391,121.473701,basil/spinach,dog,No,no preference,Maybe
+LEC002,19,Mathematics/AMEP,53558,40.712776,-74.005974,sausage,dog,Yes,night owl,Yes
+LEC001,20,Economics (Mathematical Emphasis),53703,48.86,2.3522,pepperoni,dog,No,early bird,Yes
+LEC001,19,Engineering: Mechanical,53703,24.7,46.7,mushroom,dog,Yes,early bird,Maybe
+LEC005,18,Computer Science,53703,37.338207,-121.88633,green pepper,dog,Yes,night owl,Yes
+LEC003,19,Engineering: Mechanical,53558,43.073051,-89.40123,pepperoni,dog,No,night owl,Yes
+LEC005,20,Engineering: Mechanical,53715,38.9072,-77.0369,Other,cat,No,night owl,Yes
+LEC003,20,Data Science,53703,43.073051,-89.40123,pepperoni,dog,No,night owl,Yes
+LEC002,21,Science: Other|Political Science,53703,31.768318,35.213711,pepperoni,dog,No,no preference,Maybe
+LEC003,19,Mathematics/AMEP,53715,19.075983,72.877655,basil/spinach,cat,No,night owl,Maybe
+LEC001,23,Computer Science,53711,43.073929,-89.385239,sausage,dog,No,night owl,Yes
+LEC006,21,Business: Other,53715,25.761681,-80.191788,pepperoni,dog,No,night owl,Yes
+LEC003,19,Business: Other|Real Estate,53715,117,33,pepperoni,dog,Yes,night owl,No
+LEC004,19,Computer Science,53726,47.037872,-122.900696,tater tots,dog,No,night owl,Yes
+LEC004,24,Economics,53703,23.12911,113.264381,pepperoni,cat,Yes,early bird,Maybe
+LEC005,19,Data Science,53703,64.49796,165.40998,sausage,dog,No,night owl,Yes
+LEC003,19,Data Science,53705,25,47,mushroom,cat,No,early bird,Maybe
+LEC005,20,Engineering: Other|Engineering Physics: Scientific Computing,53715,43.073051,-89.4,none (just cheese),dog,No,night owl,Yes
+LEC005,20,Computer Science,53703,48.856613,2.352222,pepperoni,dog,No,night owl,Yes
+LEC002,19,Business: Finance,53726,43.04156,87.91006,pepperoni,dog,No,night owl,Yes
+LEC002,21,Data Science,53713,29.868336,121.543991,mushroom,dog,No,night owl,No
+LEC004,19,Computer Science,53715,40.712776,-74.005974,pepperoni,dog,No,night owl,Maybe
+LEC003,18,Computer Science,53706,5.93876,80.48433,Other,dog,No,night owl,Maybe
+LEC005,19,Engineering: Mechanical,53704,38.7,-77,pepperoni,cat,Yes,no preference,No
+LEC004,18,Engineering: Mechanical,53726,41.878113,-87.629799,pepperoni,dog,No,night owl,Maybe
+LEC005,19,Engineering: Other,53703,36.169941,-115.139832,pepperoni,dog,No,night owl,Maybe
+LEC005,19,Engineering: Mechanical,53703,43.078104,-89.431698,pepperoni,dog,Yes,night owl,Yes
+LEC006,18,Engineering: Biomedical,53051,33.6846,117.8265,pepperoni,dog,Yes,night owl,Yes
+LEC001,22,Engineering: Mechanical,53719,43.073051,-89.40123,none (just cheese),cat,Yes,night owl,Yes
+LEC001,18,Computer Science,53706,26.2992,87.2625,mushroom,dog,Yes,night owl,No
+LEC001,24,Business: Information Systems,53703,43.073051,-89.40123,macaroni/pasta,cat,No,night owl,No
+LEC006,19,Engineering: Mechanical,53703,43.04049,-87.91732,Other,dog,No,night owl,Yes
+LEC001,,Computer Science,53715,34.052235,-118.243683,green pepper,dog,No,night owl,Yes
+LEC002,20,Statistics,53703,40.7128,74.006,Other,dog,No,night owl,Maybe
+LEC005,23,Computer Science,53703,37.5,126.97,pepperoni,dog,No,night owl,No
+LEC002,21,Statistics,53703,52.370216,4.895168,pepperoni,dog,Yes,early bird,Maybe
+LEC002,18,Undecided,53706,38.56247,-121.70411,pepperoni,dog,Yes,night owl,Yes
+LEC006,18,Statistics,53706,40.712776,40.712776,pepperoni,dog,No,night owl,Yes
+LEC003,21,Economics,53715,43.073051,-89.40123,none (just cheese),dog,No,night owl,Yes
+LEC003,19,Engineering: Mechanical,53715,45,-93,sausage,dog,No,night owl,No
+LEC005,21,Business: Finance,53717,40.6461,-111.498,sausage,dog,No,night owl,Yes
+LEC001,26,Engineering: Mechanical,53703,41.902782,12.496365,pepperoni,dog,No,night owl,Yes
+LEC001,25,Economics,53703,40.712776,-74.005974,pepperoni,dog,No,night owl,Yes
+LEC003,18,Mathematics/AMEP,53706,31.230391,121.473701,mushroom,dog,Yes,early bird,No
+LEC001,19,Computer Science,53706,48.855709,2.29889,pepperoni,cat,Yes,night owl,Yes
+LEC005,17,Science: Biology/Life,53706,-18.766947,46.869106,basil/spinach,dog,Yes,early bird,Maybe
+LEC003,19,Business: Information Systems,53711,38.893452,-77.014709,pepperoni,dog,No,early bird,Yes
+LEC001,21,Computer Science,53715,16.306652,80.436539,Other,dog,No,night owl,Yes
+LEC006,19,Data Science,53703,35.689487,139.691711,sausage,neither,Yes,no preference,Maybe
+LEC004,18,Engineering: Industrial,53706,17.385044,78.486671,mushroom,dog,No,early bird,Yes
+LEC004,19,Computer Science,53715,37.774929,-122.419418,pepperoni,dog,No,night owl,Maybe
+LEC004,19,Data Science,53703,26.2644,20.3052,pepperoni,dog,No,night owl,Yes
+LEC005,18,Data Science,53706,40.712776,-74.005974,pepperoni,dog,Yes,no preference,Yes
+LEC002,18,Data Science,53706,36,117,Other,dog,No,early bird,Maybe
+LEC005,19,Data Science,50703,42.360081,-71.058884,sausage,cat,No,night owl,No
+LEC006,19,Computer Science,53711,36.569666,112.218744,pineapple,neither,Yes,early bird,Maybe
+LEC005,18,Computer Science,53706,37.54443,-121.95269,pepperoni,dog,No,night owl,Maybe
+LEC003,20,Mathematics/AMEP,53715,32.0853,34.781769,mushroom,dog,No,no preference,Yes
+LEC003,19,Data Science,53715,42.701847,-84.48217,tater tots,dog,No,night owl,Yes
+LEC003,18,Mathematics/AMEP,53706,40.179188,44.499104,Other,dog,Yes,no preference,Yes
+LEC002,,Computer Science,53711,2.81375,101.504272,sausage,dog,Yes,no preference,Maybe
+LEC001,18,Engineering: Industrial,53715,30.733315,76.779419,green pepper,cat,No,no preference,Yes
+LEC003,21,Data Science,53590,7.9519,98.3381,Other,dog,Yes,early bird,Yes
+LEC004,19,Data Science,53715,35.69,139.69,mushroom,dog,No,no preference,Maybe
+LEC002,19,Data Science,53704,26.473308,50.048218,Other,cat,Yes,night owl,Yes
+LEC002,22,Economics,53703,34.052235,-118.243683,pineapple,dog,No,night owl,Yes
+LEC006,18,Data Science,53706,19.075983,72.877655,mushroom,dog,Yes,night owl,Yes
+LEC003,,Business: Actuarial,53705,39.6336,118.16,basil/spinach,dog,Yes,early bird,Yes
+LEC003,18,Data Science,53706,52.370216,4.895168,mushroom,cat,Yes,no preference,No
+LEC003,18,Engineering: Mechanical,53706,52.368944,4.891663,pepperoni,cat,No,night owl,No
+LEC002,18,Science: Physics,53703,32,118,sausage,neither,No,night owl,No
+LEC005,18,Data Science,53706,17.384716,78.409424,mushroom,dog,Yes,night owl,Maybe
+LEC003,19,Data Science,53715,3.1569,101.7123,mushroom,cat,No,early bird,No
+LEC005,18,Computer Science,53706,43.769562,11.255814,Other,neither,No,night owl,Yes
+LEC006,18,Business: Actuarial,53706,48.856613,2.352222,mushroom,cat,No,no preference,Yes
+LEC004,20,Business: Actuarial,53711,40.7128,74.006,pepperoni,dog,Yes,early bird,No
+LEC005,20,Science: Biology/Life,53703,44.67082,-93.24432,mushroom,dog,No,no preference,Maybe
+LEC004,18,Mathematics/AMEP,53706,46.786671,-92.100487,pepperoni,cat,No,early bird,Yes
+LEC005,20,Economics,53703,48.856613,2.352222,pepperoni,neither,No,night owl,Maybe
+LEC006,18,Business: Finance,53706,40.409264,49.867092,Other,neither,No,early bird,No
+LEC004,21,Computer Science,53715,27.993828,120.699364,green pepper,dog,Yes,no preference,No
+LEC002,,Computer Science,53706,43.073051,-89.40123,Other,neither,Yes,no preference,Maybe
+LEC002,20,Engineering: Mechanical,53706,35.6762,139.6503,sausage,cat,Yes,night owl,Yes
+LEC001,20,Economics (Mathematical Emphasis),53703,43.073929,-89.385239,macaroni/pasta,cat,No,night owl,No
+LEC002,21,Business: Information Systems,53713,43.03638,-89.40292,pineapple,neither,Yes,night owl,Yes
+LEC004,18,Data Science,53706,45.31625,-92.59181,pepperoni,dog,No,night owl,Yes
+LEC001,21,Business: Finance,53711,43.073929,-89.385239,pepperoni,dog,No,no preference,Maybe
+LEC005,19,Engineering: Mechanical,53715,35.689487,139.691711,pepperoni,dog,No,night owl,Yes
+LEC003,18,Computer Science,53706,51.500153,-0.1262362,pepperoni,dog,No,night owl,Yes
+LEC002,22,Science: Biology/Life,53711,43.073051,-89.40123,mushroom,cat,No,no preference,No
+LEC004,18,Data Science,53706,42.360081,-71.058884,green pepper,dog,No,night owl,Yes
+LEC005,19,Engineering: Mechanical,53703,32.8328,117.2713,sausage,neither,Yes,night owl,Yes
+LEC003,20,Engineering: Mechanical,53715,44.834,-87.376,none (just cheese),dog,Yes,night owl,No
+LEC006,21,Economics,53703,41.902782,12.496365,none (just cheese),dog,No,no preference,Yes
+LEC003,25,Data Science,53703,34.693737,135.502167,pineapple,dog,No,early bird,Maybe
+LEC003,17,Computer Science,53703,19.075983,72.877655,Other,neither,Yes,no preference,No
+LEC002,19,Psychology,53715,30.5928,114.3052,sausage,cat,No,night owl,Yes
+LEC001,19,Computer Science,53703,51.507351,-0.127758,sausage,cat,Yes,no preference,Yes
+LEC006,17,Engineering: Industrial,53706,55.953251,-3.188267,Other,dog,No,night owl,Yes
+LEC005,,Computer Science,53703,43.073051,-89.40123,pineapple,dog,Yes,night owl,No
+LEC002,21,Engineering: Mechanical,53705,37.566536,126.977966,mushroom,cat,Yes,no preference,Maybe
+LEC002,18,Undecided,53715,48.775845,9.182932,Other,dog,No,night owl,Yes
+LEC004,19,Data Science,53703,43,-89,sausage,cat,No,early bird,Maybe
+LEC001,21,Science: Biology/Life,53703,36,117,macaroni/pasta,dog,No,night owl,Maybe
+LEC002,19,Business: Information Systems,53703,42.360081,-71.058884,pepperoni,dog,No,no preference,Yes
+LEC005,19,Computer Science,53706,-8.340539,115.091949,pineapple,dog,Yes,night owl,Maybe
+LEC003,20,Business: Information Systems,53726,43.073051,-89.40123,sausage,dog,Yes,night owl,No
+LEC003,,Science: Other,53715,39.904202,116.407394,mushroom,cat,No,night owl,Maybe
+LEC004,20,Engineering: Biomedical,53715,43.0707,12.6196,tater tots,dog,No,night owl,Maybe
+LEC004,19,Engineering: Biomedical,53715,41.878113,-87.629799,mushroom,dog,Yes,night owl,Yes
+LEC002,21,Business: Other|Accounting,53703,41.8781,87.6298,pepperoni,cat,No,night owl,No
+LEC002,17,Undecided,53706,33.742185,-84.386124,Other,dog,No,no preference,Yes
+LEC006,18,Data Science,53558,40.73061,-73.935242,pepperoni,dog,Yes,night owl,No
+LEC003,25,Data Science,53705,43.073051,-89.385239,sausage,cat,No,night owl,Maybe
+LEC002,18,Data Science,53706,37.34163,-122.05411,sausage,dog,No,night owl,Yes
+LEC006,18,Science: Biology/Life,53706,19.21833,72.978088,green pepper,neither,No,no preference,Maybe
+LEC002,,Business: Other|business analytics,53703,31.230391,121.473701,none (just cheese),cat,Yes,night owl,Maybe
+LEC003,,Data Science,53706,35.719312,139.784546,none (just cheese),neither,Yes,night owl,Yes
+LEC002,19,Engineering: Mechanical,53726,47.141041,9.52145,mushroom,dog,No,night owl,Yes
+LEC002,,Computer Science,53715,41.8781,87.6298,pepperoni,dog,No,no preference,Maybe
+LEC002,26,Science: Other|animal sciences,53705,25.204849,55.270782,pepperoni,dog,No,no preference,Maybe
+LEC003,21,Mathematics,53704,61.218056,-149.900284,green pepper,cat,Yes,early bird,Maybe
+LEC003,22,Engineering: Other,53703,49.28273,-123.120735,macaroni/pasta,cat,No,early bird,Maybe
+LEC001,18,Engineering: Other,53706,41.902782,12.496365,pepperoni,dog,No,night owl,Yes
+LEC003,20,Engineering: Mechanical,53726,39.81059,-74.71795,basil/spinach,dog,No,early bird,Yes
+LEC003,21,Health Promotion and Health Equity,53711,37.2982,113.0263,pepperoni,dog,No,early bird,No
+LEC003,20,Engineering: Mechanical,53703,38.722252,-9.139337,mushroom,dog,No,night owl,Yes
+LEC003,19,Engineering: Mechanical,53714,43,-89.4,none (just cheese),dog,No,night owl,Yes
+LEC002,19,Engineering: Industrial,53703,41.878,-87.63,pepperoni,dog,Yes,night owl,Yes
+LEC003,18,Computer Science,53706,43.073051,-89.40123,mushroom,neither,No,night owl,Yes
+LEC001,18,Engineering: Industrial,53706,19.655041,-101.169891,pepperoni,dog,Yes,no preference,Maybe
+LEC005,20,Engineering: Mechanical,53703,26.147,-81.795,pepperoni,dog,Yes,early bird,Yes
+LEC006,18,Business: Other,53706,51.507,-0.128,sausage,dog,No,no preference,No
+LEC005,19,Business: Other,53706,43,-89,pepperoni,dog,Yes,no preference,Yes
+LEC004,19,Engineering: Mechanical,53705,34.869709,-111.760902,pepperoni,cat,No,no preference,Maybe
+LEC005,21,Business: Finance,53703,3.15443,101.715103,pepperoni,cat,No,night owl,Yes
+LEC005,18,Engineering: Mechanical,53706,44.655991,-93.242752,none (just cheese),dog,Yes,night owl,Yes
+LEC003,18,Art,53706,36.25,138.25,macaroni/pasta,dog,No,night owl,Yes
+LEC005,19,Data Science,53715,41.94288,-87.68667,pepperoni,dog,Yes,night owl,Yes
+LEC005,18,Data Science,53703,44.2795,73.9799,pepperoni,dog,Yes,night owl,No
+LEC002,19,Mathematics/AMEP,53715,37.80718,23.734864,pineapple,cat,No,night owl,Yes
+LEC004,18,Computer Science,53706,35.689487,139.691711,pepperoni,cat,No,night owl,Yes
+LEC006,18,Engineering: Mechanical,53706,43.0826,-97.16051,pepperoni,dog,No,no preference,Yes
+LEC006,18,Engineering: Other,53715,37.441883,-122.143021,mushroom,dog,Yes,night owl,Maybe
+LEC006,18,Engineering: Mechanical,53706,44.883,-87.86291,pepperoni,dog,No,early bird,Yes
+LEC004,19,Engineering: Mechanical,53706,40.73598,-74.37531,none (just cheese),dog,Yes,early bird,No
+LEC001,20,Business: Actuarial,53703,42.28,-83.74,mushroom,dog,No,night owl,Yes
+LEC003,17,Engineering: Mechanical,53706,37.98381,23.727539,pineapple,dog,Yes,night owl,No
+LEC004,18,Computer Science,53706,40.27385,-74.75972,sausage,dog,Yes,night owl,Yes
+LEC002,19,Economics,53703,90.1994,38.627,none (just cheese),dog,No,early bird,Yes
+LEC002,21,"Mathematics, Data Science",53703,30.572815,104.066803,sausage,dog,No,night owl,Maybe
+LEC002,,Computer Science,53717,36,139,mushroom,dog,Yes,early bird,Yes
+LEC006,19,Science: Biology/Life,53715,45.289143,-87.021847,none (just cheese),cat,No,night owl,Maybe
+LEC002,21,Mathematics/AMEP,53703,20.878332,-156.682495,pepperoni,cat,No,night owl,Yes
+LEC003,22,Mathematics/AMEP,53715,44.481586,-88.005981,pepperoni,neither,No,night owl,Yes
+LEC006,18,Data Science,53706,43.073051,-89.40123,pepperoni,dog,No,night owl,Yes
+LEC005,18,Computer Science,53706,30.733315,76.779419,none (just cheese),dog,No,night owl,Yes
+LEC005,20,Mathematics/AMEP,53703,38.837702,-238.449497,pepperoni,dog,No,night owl,Yes
+LEC005,,Computer Science,53593,50.116322,-122.957359,sausage,dog,No,night owl,Yes
+LEC005,18,Computer Science,53715,43.059023,-89.296875,pepperoni,cat,No,night owl,Maybe
+LEC005,19,Engineering: Industrial,53703,22.2255,-159.4835,pepperoni,cat,Yes,night owl,Yes
+LEC005,18,Engineering: Biomedical,53593,43.073051,-89.40123,green pepper,cat,No,night owl,Maybe
+LEC005,20,Engineering: Mechanical,53715,41.283211,-70.099228,sausage,dog,No,no preference,Maybe
+LEC005,18,Data Science,53715,25.26741,55.292679,basil/spinach,cat,Yes,early bird,Yes
+LEC005,19,Business: Other,53726,43.038902,-87.906471,pepperoni,dog,No,night owl,Yes
+LEC002,,Undecided,53703,30.5723,104.0665,sausage,dog,No,night owl,Yes
+LEC006,18,Engineering: Mechanical,53706,30.2672,97.7431,pepperoni,dog,No,night owl,No
+LEC006,20,Data Science,53703,36.731651,-119.785858,Other,dog,Yes,night owl,Yes
+LEC005,18,Computer Science,53706,43.038902,-87.906471,pepperoni,dog,No,night owl,Yes
+LEC004,,Business: Finance,53703,33.8688,151.2093,green pepper,dog,Yes,night owl,Yes
+LEC005,18,Science: Other|Science: Genetics and Genomics,53715,43.073051,-89.40123,mushroom,dog,No,no preference,Yes
+LEC003,19,Engineering: Mechanical,53715,44.90767,-93.183594,basil/spinach,dog,No,night owl,Maybe
+LEC006,18,Business: Finance,53706,-33.448891,-70.669266,macaroni/pasta,dog,No,night owl,Yes
+LEC006,17,Business: Finance,53706,43.296482,5.36978,pineapple,dog,No,night owl,Yes
+LEC006,21,Mathematics/AMEP,53703,30.572815,104.066803,green pepper,dog,No,no preference,Maybe
+LEC005,20,Engineering: Mechanical,53703,41.99884,-87.68828,Other,dog,No,no preference,No
+LEC001,19,Business: Information Systems,53703,39.481655,-106.038353,macaroni/pasta,dog,Yes,night owl,Yes
+LEC004,19,Engineering: Mechanical,53703,41.883228,-87.632401,pepperoni,dog,No,no preference,Maybe
+LEC004,18,Engineering: Industrial,53706,41.878113,41.878113,pepperoni,dog,No,night owl,No
+LEC004,19,Engineering: Mechanical,53703,28.228209,112.938812,none (just cheese),neither,Yes,early bird,Yes
+LEC003,18,Data Science,89451,34.42083,-119.698189,green pepper,dog,No,early bird,No
+LEC003,19,Computer Science,53703,41.3874,2.1686,pepperoni,cat,No,early bird,No
+LEC005,20,Science: Biology/Life,53703,32.05196,118.77803,sausage,neither,No,night owl,Yes
+LEC004,19,Engineering: Mechanical,53706,50.075539,14.4378,none (just cheese),neither,No,night owl,Yes
+LEC003,20,Statistics (actuarial route),53715,43.134315,-88.220062,sausage,dog,No,early bird,No
+LEC004,19,Computer Science,53706,17.385044,78.486671,pepperoni,neither,Yes,night owl,Yes
+LEC002,18,Engineering: Mechanical,53706,53707,-88.415382,Other,dog,No,night owl,Yes
+LEC004,19,Computer Science,53706,45.440845,12.315515,sausage,dog,No,night owl,Yes
+LEC004,18,Computer Science,53706,55.953251,-3.188267,Other,dog,No,night owl,Maybe
+LEC004,18,Engineering: Mechanical,53706,33.8902,-118.39848,sausage,dog,Yes,night owl,Yes
+LEC001,20,Business: Other|Business: Accounting,53703,31.230391,121.473701,pepperoni,cat,Yes,no preference,No
+LEC004,18,Data Science,53706,39.512611,116.677063,pepperoni,dog,No,night owl,Maybe
+LEC003,18,Undecided,53706,41.256538,95.934502,Other,dog,No,no preference,Yes
+LEC003,18,Data Science,53706,19.075983,72.877655,pepperoni,dog,No,night owl,No
+LEC003,22,Economics,53703,40.753685,-73.999161,green pepper,dog,No,night owl,Maybe
+LEC003,18,Data Science,53706,51.507351,-0.127758,pepperoni,cat,No,night owl,Yes
+LEC003,,Engineering: Mechanical,53706,42.44817,-71.224716,pepperoni,cat,Yes,night owl,Maybe
+LEC003,17,Engineering: Other|Computer Engineering,53706,42.36,-71.059,basil/spinach,neither,No,early bird,Maybe
+LEC003,21,Business: Actuarial,53706,32.715736,-117.161087,green pepper,dog,Yes,night owl,No
+LEC003,,Engineering: Other|Computer engineering,53706,35.689487,139.691711,Other,cat,No,night owl,Yes
+LEC003,18,Mathematics/AMEP,53715,41.385063,2.173404,pepperoni,cat,Yes,no preference,Maybe
+LEC003,20,Computer Science,53705,30.274084,120.155067,mushroom,cat,No,night owl,Yes
+LEC005,,Computer Science,53705,51.507351,-0.127758,basil/spinach,dog,No,night owl,Yes
+LEC003,18,Computer Science,53706,45.45676,15.29662,sausage,dog,Yes,early bird,Yes
+LEC003,18,Engineering: Industrial,53706,18.92421,-99.221565,green pepper,dog,Yes,night owl,Yes
+LEC004,18,Engineering: Other|Material Science Engineering,53703,38.941631,-119.977219,pepperoni,dog,Yes,night owl,Yes
+LEC002,21,Economics,53705,25.03841,121.5637,pepperoni,cat,No,night owl,Maybe
+LEC005,,Civil engineering - hydropower engineering,53705,34,113,pineapple,neither,No,night owl,Maybe
+LEC005,18,Computer Science,53706,40.7,-74.005,pepperoni,cat,No,early bird,No
+LEC001,19,Engineering: Mechanical,53706,35.142441,-223.154297,green pepper,neither,Yes,night owl,Yes
+LEC006,18,Data Science,53706,43.05891,-88.007462,pepperoni,dog,Yes,night owl,Yes
+LEC006,,Engineering: Mechanical,53706,37.566536,126.977966,pepperoni,dog,Yes,night owl,No
+LEC005,18,Data Science,53706,36.393154,25.46151,none (just cheese),dog,No,night owl,No
+LEC001,,Engineering: Mechanical,53715,19.8968,155.5828,pepperoni,dog,No,night owl,No
+LEC002,19,Engineering: Biomedical,53706,48.494904,-113.979034,macaroni/pasta,cat,No,night owl,Yes
+LEC005,18,Engineering: Mechanical,53706,41.88998,12.49426,pineapple,dog,Yes,night owl,Yes
+LEC003,17,Data Science,53706,-7.257472,112.75209,pineapple,dog,Yes,early bird,Yes
+LEC005,19,Economics,53703,40.592331,-111.820152,none (just cheese),dog,Yes,night owl,Maybe
+LEC005,19,Data Science,53704,38.722252,-9.139337,pepperoni,dog,No,night owl,Yes
+LEC003,,Computer Science,53703,64.963051,-19.020836,pineapple,dog,No,no preference,Maybe
+LEC002,20,Economics,53703,43.769562,11.255814,mushroom,dog,No,night owl,Yes
+LEC004,20,Business: Actuarial,53715,44.834209,-87.376266,sausage,dog,No,no preference,Yes
+LEC005,21,Economics,53703,37.751824,-122.420105,green pepper,cat,No,night owl,Yes
+LEC004,22,Economics,53703,56.490669,4.202646,mushroom,dog,No,no preference,Yes
+LEC004,18,Engineering: Mechanical,53706,44.9058,-93.28535,pepperoni,cat,Yes,night owl,Maybe
+LEC004,19,Data Science,53703,41.878113,-87.629799,sausage,dog,No,night owl,Yes
+LEC001,21,Computer Science,53703,43.21518,-87.94241,pepperoni,dog,No,no preference,Maybe
+LEC004,24,Science: Chemistry,53703,32.715736,-117.161087,mushroom,dog,Yes,night owl,Maybe
+LEC005,19,Engineering: Mechanical,53715,39.412327,-77.425461,pepperoni,cat,Yes,early bird,Yes
+LEC004,20,Statistics,53703,43.07391,-89.39356,pepperoni,dog,No,early bird,Maybe
+LEC005,21,Business: Finance,53703,38.178127,-92.781052,mushroom,dog,No,night owl,Yes
+LEC004,18,Engineering: Mechanical,53706,35.689487,139.691711,pepperoni,dog,No,no preference,Yes
+LEC005,18,Data Science,60521,41.9,87.6,pepperoni,dog,Yes,night owl,Yes
+LEC005,23,Business: Information Systems,53558,43.073051,-89.40123,pepperoni,dog,Yes,early bird,No
+LEC004,18,Engineering: Mechanical,53706,43.739507,7.426706,pepperoni,dog,No,night owl,Yes
+LEC005,21,Data Science,53703,25,121,pepperoni,dog,No,night owl,Yes
+LEC005,20,Business: Information Systems,53703,43.073051,-89.40123,pepperoni,dog,Yes,night owl,Yes
+LEC004,,Engineering: Biomedical,53715,41.385063,2.173404,pepperoni,dog,Yes,no preference,No
+LEC004,18,Communication arts,53715,22.543097,114.057861,mushroom,cat,Yes,early bird,Yes
+LEC001,22,Engineering: Mechanical,53703,47.497913,19.040236,pepperoni,dog,No,no preference,No
+LEC005,19,Computer Science,54706,34.05,-118.24,sausage,cat,Yes,night owl,Yes
+LEC005,18,Engineering: Biomedical,53706,46.818188,8.227512,pineapple,dog,Yes,no preference,Yes
+LEC004,19,Engineering: Mechanical,53715,42.36,-71.058884,pepperoni,dog,Yes,no preference,Yes
+LEC005,21,Data Science,53703,36.4,117,pineapple,dog,Yes,night owl,Yes
+LEC005,19,Engineering: Mechanical,53704,35.6762,139.6503,sausage,dog,No,night owl,Maybe
+LEC004,20,Economics,53703,44.885,-93.147,pepperoni,dog,No,early bird,Yes
+LEC004,20,Health Promotion and Health Equity,53704,48.8566,2.349014,pepperoni,dog,No,night owl,Yes
+LEC004,19,Engineering: Mechanical,53715,43.073051,-89.40123,sausage,dog,Yes,no preference,Yes
+LEC001,20,Business andministration,53703,37.389091,-5.984459,pineapple,dog,Yes,night owl,Maybe
+LEC003,23,Mathematics/AMEP,53715,24.88,102.8,pineapple,dog,Yes,early bird,Yes
+LEC002,20,Engineering: Industrial,53703,44.389,12.9908,sausage,dog,No,early bird,Maybe
+LEC005,20,Education,53703,41.878113,-87.629799,basil/spinach,cat,Yes,early bird,No
+LEC003,19,Science: Biology/Life,53703,41.38,2.17,pepperoni,dog,Yes,no preference,Maybe
+LEC006,18,Pre-business,53706,41.8781,87.6298,pepperoni,dog,Yes,night owl,Yes
+LEC004,20,Business: Finance,53706,41.10475,-80.64916,basil/spinach,dog,Yes,night owl,Yes
+LEC004,20,Statistics,53703,42.360081,-71.058884,pepperoni,dog,No,night owl,Yes
+LEC003,18,Engineering: Mechanical,53706,24.5554,81.7842,pepperoni,dog,No,early bird,Maybe
+LEC004,19,Data Science,53703,38.72,75.07,none (just cheese),dog,Yes,early bird,Yes
+LEC006,20,Engineering: Mechanical,53705,30.572815,104.066803,mushroom,cat,Yes,no preference,Maybe
+LEC003,20,Mathematics/AMEP,53726,43.07199,-89.42629,mushroom,dog,No,night owl,Yes
+LEC004,20,Engineering: Mechanical,53705,48,7.85,pepperoni,dog,Yes,night owl,No
+LEC001,20,Computer Science,53703,40.7128,74.006,pepperoni,dog,Yes,night owl,Maybe
+LEC003,18,Business: Actuarial,53719,14.599512,120.984222,pineapple,cat,Yes,no preference,Maybe
+LEC003,17,Computer Science,53715,37.38522,-122.114128,Other,dog,No,night owl,No
+LEC003,18,Computer Science,53706,37.386051,-122.083855,sausage,dog,Yes,no preference,Maybe
+LEC004,23,Business: Finance,53703,31.230391,121.473701,mushroom,neither,No,night owl,No
+LEC004,21,Engineering: Industrial,53703,37.94048,-78.63664,Other,dog,Yes,night owl,Yes
+LEC002,21,Mathematics/AMEP,53715,42.360081,-71.058884,mushroom,neither,Yes,early bird,Yes
+LEC002,18,Engineering: Industrial,53715,40.712776,-74.005974,pineapple,dog,Yes,night owl,Yes
+LEC001,22,Engineering: Mechanical,53726,36.97447,122.02899,pepperoni,dog,No,no preference,Yes
+LEC005,,Mathematics/AMEP,53715,36.651199,117.120094,mushroom,neither,No,night owl,Yes
+LEC005,18,Mathematics/AMEP,53706,46.482525,30.723309,basil/spinach,dog,No,early bird,Yes
+LEC006,20,Engineering: Industrial,53703,42.102901,-88.368896,pepperoni,dog,No,night owl,Maybe
+LEC006,18,Computer Science,53706,-31.959153,-244.161255,green pepper,dog,No,night owl,Yes
+LEC002,24,Computer Science,53715,30.704852,104.003904,mushroom,neither,Yes,no preference,Maybe
+LEC005,19,Engineering: Mechanical,53705,40.712776,-74.005974,pepperoni,dog,No,early bird,No
+LEC004,22,Science: Biology/Life,53705,39.758161,39.758161,pepperoni,cat,No,early bird,Yes
+LEC005,20,Statistics,53703,43.073051,-89.40123,sausage,dog,Yes,night owl,Yes
+LEC001,19,Data Science,53703,41,87,sausage,dog,No,no preference,No
+LEC004,20,Engineering: Mechanical,53726,58.2996,14.4444,sausage,cat,No,night owl,Maybe
+LEC005,18,Engineering: Mechanical,53562,1.3521,103.8198,green pepper,cat,No,early bird,Maybe
+LEC002,19,Engineering: Mechanical,53703,44.46534,-72.684303,green pepper,cat,Yes,night owl,Yes
+LEC002,20,Engineering: Industrial,53726,43.038902,-87.906471,pepperoni,dog,No,night owl,Yes
+LEC006,18,Business: Actuarial,53706,45.464203,9.189982,pepperoni,cat,Yes,night owl,Yes
+LEC006,18,Computer Science,53715,30.58198,114.268066,sausage,cat,Yes,early bird,Maybe
+LEC004,19,Business: Finance,53706,41.878113,-87.629799,pepperoni,dog,No,early bird,No
+LEC005,18,Business: Finance,53706,40.416775,-3.70379,pepperoni,dog,Yes,early bird,No
+LEC001,20,Science: Other|Environmental Science,53715,41.878113,-87.629799,green pepper,cat,No,early bird,No
+LEC002,22,Computer Science,53715,42,-71,mushroom,cat,No,night owl,Maybe
+LEC001,24,Economics,53703,40,-90,pineapple,dog,No,night owl,Yes
+LEC006,19,Business: Information Systems,53715,40.712776,-74.005974,basil/spinach,dog,No,night owl,Yes
+LEC002,19,Data Science,53703,33.4942,89.4959,sausage,dog,No,night owl,Maybe
+LEC003,20,Engineering: Mechanical,53715,43.02833,-87.971467,pepperoni,neither,Yes,night owl,Maybe
+LEC001,,Data Science,53706,40.416775,-3.70379,none (just cheese),dog,Yes,no preference,Yes
+LEC003,19,Engineering: Mechanical,53715,43.07,-89.4,pepperoni,dog,No,no preference,Maybe
+LEC006,18,Data Science,53706,46.683334,7.85,mushroom,dog,Yes,no preference,No
+LEC003,19,Engineering: Biomedical,53703,31.046051,34.851612,Other,dog,No,night owl,Maybe
+LEC003,18,Data Science,53705,31.23,121.47,mushroom,dog,Yes,night owl,Maybe
+LEC005,19,Engineering: Mechanical,53703,42.00741,-87.69384,mushroom,dog,No,night owl,Yes
+LEC001,37,Data Science,53718,43.073051,-89.40123,green pepper,dog,No,no preference,Maybe
+LEC003,20,History,53703,31.62,74.8765,Other,cat,Yes,early bird,No
+LEC002,20,Economics,53703,38.627003,-90.199402,mushroom,dog,Yes,night owl,Yes
+LEC005,20,Engineering: Mechanical,53703,40,-74,none (just cheese),dog,Yes,early bird,No
+LEC005,18,Data Science,53706,23.7275,37.9838,pepperoni,dog,Yes,early bird,Yes
+LEC004,20,Mathematics/AMEP,53703,34.746613,113.625328,sausage,neither,Yes,early bird,Maybe
+LEC001,21,Data Science,53703,30.572351,121.776761,pepperoni,cat,No,night owl,Maybe
+LEC005,,Data Science,53715,35.72,-78.89,pepperoni,dog,No,night owl,Yes
+LEC005,20,Information science,53590,44.92556,-89.51539,pepperoni,dog,No,night owl,Yes
+LEC002,22,Mathematics/AMEP,53704,40.76078,-111.891045,pineapple,dog,Yes,night owl,No
+LEC001,22,consumer behavior and marketplace studies,53715,43.653225,-79.383186,mushroom,cat,Yes,night owl,No
+LEC004,22,Computer Science,53703,10.315699,123.885437,sausage,dog,Yes,early bird,No
+LEC002,20,Conservation Biology,53703,40.16573,-105.101189,pineapple,dog,No,night owl,Yes
+LEC005,20,Computer Science,53726,39.4817,106.0384,Other,neither,Yes,early bird,Yes
+LEC005,19,Mathematics/AMEP,53715,48.85,2.35,sausage,cat,No,night owl,Maybe
+LEC005,19,Data Science,53706,30.572815,104.066803,mushroom,neither,No,early bird,Yes
+LEC004,24,Business: Information Systems,53703,37.566536,126.977966,tater tots,dog,No,early bird,No
+LEC004,19,Economics,53703,52.877491,-118.08239,pepperoni,dog,No,night owl,Yes
+LEC004,21,Computer Science,53703,28.538336,-81.379234,pepperoni,dog,No,night owl,Yes
+LEC006,18,Data Science,53706,41.4,-81.9,sausage,dog,Yes,night owl,Maybe
+LEC002,21,Science: Biology/Life,53703,43.038902,-87.906471,none (just cheese),neither,No,no preference,Yes
+LEC004,21,Data Science,53703,3.86,-54.2,macaroni/pasta,dog,No,early bird,No
+LEC004,19,Engineering: Mechanical,53715,39.952583,-75.165222,macaroni/pasta,dog,Yes,no preference,Yes
+LEC004,20,Science: Other,53715,21.3099,157.8581,pineapple,dog,No,early bird,Yes
+LEC005,21,Data Science,48823,11.451419,19.81,mushroom,neither,No,night owl,Maybe
+LEC001,20,Computer Science,53715,41,-87,Other,dog,No,night owl,Yes
+LEC005,21,Data Science,53705,42.3601,71.0589,pepperoni,dog,Yes,no preference,Yes
+LEC005,19,Computer Science,53706,48.856613,2.352222,pepperoni,dog,Yes,night owl,Maybe
+LEC001,17,Statistics,53715,43.0722,89.4008,pineapple,dog,No,early bird,Maybe
+LEC001,20,Economics,53715,27.99942,120.66682,pepperoni,dog,Yes,early bird,No
+LEC001,19,Mathematics/AMEP,53711,45.85038,-84.616989,pineapple,cat,No,night owl,Yes
+LEC004,20,Computer Science,53711,40.842358,111.749992,pineapple,cat,No,night owl,Maybe
+LEC003,18,Engineering: Mechanical,53706,39.738449,-104.984848,pepperoni,dog,No,early bird,Yes
+LEC003,21,Statistics,53705,41.878113,-87.629799,macaroni/pasta,dog,No,night owl,Yes
+LEC006,19,Engineering: Industrial,60540,41.878113,-87.629799,none (just cheese),dog,No,night owl,No
+LEC004,19,Engineering: Mechanical,53703,40.6263,14.3758,mushroom,dog,No,early bird,No
+LEC004,22,Engineering: Other|Chemical Engineering,53703,48.13913,11.58022,macaroni/pasta,dog,Yes,night owl,Yes
+LEC004,21,Economics (Mathematical Emphasis),53703,52.520008,13.404954,pepperoni,dog,No,night owl,No
+LEC004,25,Science: Other|Biophysics PhD,53705,30.21161,-97.80999,pineapple,dog,No,night owl,Yes
+LEC003,19,Computer Science,53716,25.49443,-103.59581,pepperoni,cat,No,no preference,Yes
+LEC003,19,Data Science,53706,64.963051,-19.020836,pineapple,dog,No,no preference,No
+LEC006,19,Computer Science,53706,41.878113,-87.629799,pepperoni,cat,No,night owl,Maybe
+LEC001,23,Economics,53703,43.07348,-89.38089,pepperoni,dog,No,night owl,Yes
+LEC001,29,Business: Other|Technology Strategy/ Product Management,53705,37.386051,-122.083855,Other,cat,No,no preference,Maybe
+LEC002,,Engineering: Mechanical,53706,14.34836,100.576271,pepperoni,neither,No,no preference,Maybe
+LEC004,20,Undecided,53715,37.566536,126.977966,none (just cheese),neither,No,night owl,Yes
+LEC006,19,Engineering: Mechanical,53703,27.993828,120.699364,sausage,neither,No,no preference,Yes
+LEC002,,Computer Science,53705,25.032969,121.565414,pineapple,dog,No,night owl,Yes
+LEC005,20,Mathematics/AMEP,53703,32.060253,118.796875,pineapple,cat,Yes,night owl,Maybe
+LEC003,,Business: Other,53706,50.07553,14.4378,pepperoni,dog,Yes,night owl,Maybe
+LEC006,21,Data Science,57303,32.715736,-117.161087,macaroni/pasta,cat,Yes,no preference,Yes
+LEC006,18,Engineering: Mechanical,53706,45.5579,94.1632,sausage,dog,No,night owl,Yes
+LEC001,18,Engineering: Biomedical,53715,43.073051,-89.40123,sausage,dog,No,early bird,Yes
+LEC005,19,Engineering: Mechanical,53706,38.571739,-109.550797,pepperoni,cat,No,night owl,Yes
+LEC003,18,Engineering: Mechanical,53706,41.902782,12.496365,pepperoni,dog,Yes,night owl,No
+LEC002,21,Data Science,53711,120,30,sausage,dog,Yes,night owl,Maybe
+LEC004,18,Engineering: Biomedical,53706,40.014984,-105.270546,green pepper,dog,No,night owl,Yes
+LEC004,20,Engineering: Mechanical,53715,53.2779,6.1058,sausage,dog,Yes,no preference,Yes
+LEC003,17,Science: Physics,53706,50.088153,14.399437,Other,cat,No,night owl,Yes
+LEC002,19,Engineering: Industrial,53705,35.084385,-106.650421,pineapple,cat,No,night owl,Yes
+LEC003,20,Engineering: Mechanical,53703,44.501343,-88.06221,pepperoni,dog,No,night owl,Yes
+LEC003,18,Engineering: Mechanical,53703,45.659302,-92.466164,macaroni/pasta,dog,No,no preference,Maybe
+LEC003,19,Data Science,53703,16.896721,42.5536,none (just cheese),neither,No,early bird,Maybe
+LEC001,18,Data Science,53703,23.885942,45.079163,mushroom,neither,No,early bird,Maybe
+LEC006,19,Engineering: Mechanical,53703,55.953251,-3.188267,mushroom,cat,Yes,night owl,Yes
+LEC001,30,Business: Other,53705,43.07175,-89.46498,pineapple,cat,No,early bird,No
+LEC006,18,Political Science,53706,39.640263,-106.374191,green pepper,dog,No,early bird,No
+LEC005,23,Business: Information Systems,53705,27.99,120.69,green pepper,dog,No,night owl,No
+LEC003,18,Graphic Design,53706,40.713051,-74.007233,Other,dog,Yes,early bird,Yes
+LEC002,21,Economics,53715,37.369171,-122.112473,mushroom,dog,No,night owl,No
+LEC005,18,Computer Science,53706,21.3099,157.8581,pepperoni,cat,No,night owl,Yes
+LEC002,19,Business: Other|Marketing,53706,59.913868,10.752245,macaroni/pasta,dog,No,night owl,Maybe
+LEC003,20,Cartography and GIS,53726,43.0722,89.4008,sausage,cat,No,early bird,Maybe
+LEC005,21,Economics,53705,25.032969,120.960518,sausage,dog,Yes,night owl,Maybe
+LEC005,19,Engineering: Industrial,53703,42.03992,87.67732,sausage,dog,Yes,night owl,Yes
+LEC003,,Computer Science,53706,35.443081,139.362488,sausage,dog,Yes,night owl,Yes
+LEC002,22,Sociology,53703,53.483959,-2.244644,pepperoni,dog,No,night owl,Yes
+LEC002,18,Undecided,53706,43.073051,-89.40123,pineapple,dog,Yes,night owl,Yes
+LEC004,19,Engineering: Biomedical,53706,-37.81,144.96,sausage,dog,Yes,night owl,Yes
+LEC005,21,Mathematics/AMEP,53703,22.542883,114.062996,pepperoni,cat,No,no preference,Maybe
+LEC002,20,Statistics,53715,23,113,pineapple,dog,No,night owl,Maybe
+LEC001,20,Business: Other|Consumer Behavior and Marketplace Studies,53703,40.76078,-111.891045,green pepper,dog,Yes,early bird,Maybe
+LEC001,21,Data Science,53705,40.712776,-74.005974,pepperoni,cat,No,night owl,Maybe
+LEC002,19,Engineering: Mechanical,53703,26.345631,-81.779083,pepperoni,dog,Yes,night owl,Yes
+LEC004,19,Engineering: Mechanical,53715,40.62632,14.37574,pepperoni,dog,No,no preference,Maybe
+LEC003,18,Engineering: Other,53706,40.73061,-73.9808,mushroom,dog,No,night owl,No
+LEC006,18,Atmospheric Sciences,53706,39.74,-104.99,sausage,dog,Yes,night owl,Maybe
+LEC002,20,Data Science,53703,43.073051,-89.40123,macaroni/pasta,dog,Yes,early bird,Yes
+LEC006,18,Engineering: Mechanical,53706,32.7157,117.1611,pineapple,dog,Yes,night owl,Yes
+LEC004,18,Computer Science,53706,51.507351,-0.127758,green pepper,dog,No,night owl,Yes
+LEC004,19,Education,53715,32.715736,-117.161087,pepperoni,dog,No,night owl,Yes
+LEC004,26,Languages,53703,50.11,8.68,sausage,dog,No,no preference,Yes
+LEC005,21,Economics (Mathematical Emphasis),53715,55.676098,12.568337,pepperoni,cat,No,night owl,Maybe
+LEC004,53,Mathematics/AMEP,53555,47.6,-122.3,mushroom,dog,No,night owl,Yes
+LEC004,17,Computer Science,53706,43.073051,-89.40123,Other,dog,No,night owl,Yes
+LEC006,18,Engineering Mechanics (Aerospace Engineering),53706,43.038902,-87.906471,pepperoni,cat,No,night owl,No
+LEC002,20,Engineering: Mechanical,53715,23.7157,117.1611,none (just cheese),cat,Yes,night owl,Maybe
+LEC002,22,Science: Other|Psychology,53703,37.82034,-122.47872,mushroom,dog,No,early bird,No
+LEC002,22,Computer Science,53705,34.052235,-118.243683,basil/spinach,dog,No,night owl,Yes
+LEC004,26,Science: Biology/Life,53715,33.962425,-83.378622,pineapple,neither,Yes,no preference,Yes
+LEC002,18,Economics,53715,41.878113,-87.629799,basil/spinach,cat,No,night owl,Maybe
+LEC004,24,Engineering: Other|Civil and Environmental Engineering,53703,47.5,19.04,pepperoni,dog,Yes,early bird,Maybe
+LEC004,19,Engineering: Biomedical,53711,40.712776,74.005974,pineapple,dog,No,early bird,No
+LEC001,19,Engineering: Mechanical,53715,43,-90,sausage,dog,No,no preference,Maybe
+LEC006,18,Data Science,94707,37.566536,126.977966,pineapple,dog,Yes,night owl,Yes
+LEC006,20,Undecided,53719,62.2001,58.9638,Other,cat,Yes,night owl,Maybe
+LEC002,18,Engineering: Mechanical,53706,44.977753,-93.265015,none (just cheese),cat,Yes,night owl,Yes
+LEC001,20,Business: Information Systems,53711,34.385204,132.455292,pepperoni,dog,No,early bird,Yes
+LEC005,19,Engineering: Biomedical,53703,41.8781,87.6298,macaroni/pasta,dog,No,night owl,No
+LEC002,19,Engineering: Biomedical,53703,37.98381,23.727539,macaroni/pasta,dog,No,night owl,Maybe
+LEC005,18,Data Science,53706,40,74,pepperoni,dog,No,no preference,Yes
+LEC002,19,Engineering: Mechanical,53711,41.95881,-85.32536,Other,dog,No,no preference,No
+LEC005,18,Data Science,53706,32.715736,-117.161087,sausage,dog,No,night owl,Maybe
+LEC002,18,Undecided,53706,43.060791,-88.119217,Other,neither,No,early bird,Yes
+LEC004,21,Science: Other,53715,27.963989,-82.799957,pineapple,dog,No,night owl,Yes
+LEC006,18,Data Science,53706,1.352083,103.819839,sausage,dog,No,night owl,Yes
+LEC005,19,Data Science,53703,-33.92487,18.424055,none (just cheese),dog,No,night owl,Yes
+LEC001,22,International Studies,53703,48.13913,11.58022,none (just cheese),cat,No,night owl,Yes
+LEC001,19,Engineering: Other,53715,38.331581,-75.086159,macaroni/pasta,dog,No,no preference,Yes
+LEC002,19,Business: Information Systems,53715,44.5,-88,pepperoni,dog,No,night owl,Yes
+LEC002,19,Data Science,53705,21.59143,-158.01743,Other,dog,Yes,night owl,Yes
+LEC002,,Business: Finance,53593,45.813042,9.080931,Other,dog,No,early bird,Yes
+LEC003,21,Business: Information Systems,53703,43.612255,-110.705429,sausage,dog,Yes,no preference,No
+LEC001,21,Data Science,53703,41.00824,28.978359,pepperoni,cat,Yes,early bird,No
+LEC002,18,Engineering: Biomedical,53706,17.385044,78.486671,green pepper,dog,No,night owl,Yes
+LEC006,21,Political Science,53703,45.512,-122.658,sausage,dog,No,night owl,Yes
+LEC003,18,Engineering: Mechanical,53706,41.902782,12.496365,pepperoni,dog,No,early bird,Maybe
+LEC005,19,Engineering: Mechanical,53703,-36.848461,174.763336,none (just cheese),dog,Yes,no preference,No
+LEC002,,Data Science,53713,30.316496,78.032188,mushroom,cat,Yes,night owl,Yes
+LEC002,,Business: Information Systems,53703,35.689487,139.691711,sausage,dog,Yes,night owl,Maybe
+LEC005,18,Data Science,53706,52.520008,13.404954,pineapple,dog,Yes,early bird,No
+LEC005,19,Computer Science,53706,41.3784,2.1686,sausage,cat,No,no preference,Yes
+LEC003,20,Engineering: Mechanical,53715,41.878113,-87.629799,Other,cat,No,night owl,Yes
+LEC004,20,Computer Science,53703,43.073051,-89.40123,none (just cheese),cat,Yes,night owl,Yes
+LEC006,23,Data Science,53703,17.05423,-96.713226,basil/spinach,dog,No,night owl,Maybe
+LEC001,19,Engineering: Mechanical,53706,43.77195,-88.43383,pepperoni,dog,No,early bird,Maybe
+LEC001,20,Economics,53726,42.92,-87.96,pepperoni,dog,Yes,early bird,No
+LEC001,19,Engineering: Mechanical,53715,29.424122,-98.493629,mushroom,dog,Yes,early bird,Maybe
+LEC004,18,Computer Science,53706,30.267153,-97.743057,pepperoni,dog,No,night owl,Yes
+LEC005,,Computer Science,53715,44.9778,93.265,sausage,cat,Yes,night owl,Yes
+LEC003,19,Science: Other,53715,41.9028,12.4964,pepperoni,dog,No,night owl,Yes
+LEC004,19,Data Science,53715,61.2176,149.8997,pineapple,cat,Yes,night owl,Maybe
+LEC001,20,Agricultural and Applied Economics,53703,-22.932924,-47.073845,pineapple,cat,Yes,early bird,Maybe
+LEC003,18,Computer Science,53706,52.370216,4.895168,basil/spinach,cat,No,night owl,Maybe
+LEC003,19,Engineering: Industrial,53703,5.838715,3.603516,pepperoni,dog,Yes,early bird,No
+LEC005,19,Engineering: Mechanical,53715,48.502281,-113.988533,sausage,dog,No,night owl,Yes
+LEC004,41,Languages,53705,29.654839,91.140549,pepperoni,cat,No,night owl,Yes
+LEC002,21,Business: Other|MHR,53703,44,125,Other,neither,No,night owl,Maybe
+LEC005,24,Business: Other,53703,43.073051,-89.40123,pineapple,dog,No,night owl,Yes
+LEC002,18,Undecided,53706,46.786671,-92.100487,none (just cheese),cat,No,no preference,Yes
+LEC004,18,Engineering: Biomedical,53705,35.689487,139.691711,basil/spinach,dog,No,night owl,Yes
+LEC001,25,Medicine,53703,48.38203,-123.537827,basil/spinach,dog,Yes,early bird,No
+LEC004,19,Science: Biology/Life,53705,46.009991,-91.482094,pineapple,dog,No,early bird,No
+LEC005,21,Science: Other|Personal Finance,53703,28.228209,112.938812,pepperoni,cat,Yes,night owl,Yes
+LEC004,18,Data Science,53706,35.689487,139.691711,pepperoni,dog,No,night owl,Maybe
+LEC006,21,Mathematics/AMEP,53703,41.878113,-87.629799,pineapple,cat,Yes,night owl,Maybe
+LEC005,18,Environmental science,53706,31.224361,121.46917,mushroom,dog,No,night owl,Yes
+LEC005,18,Engineering: Industrial,53706,40.712776,-74.005974,pepperoni,dog,Yes,night owl,Yes
+LEC001,20,Business: Other|Real Estate,53703,51.5,0.128,mushroom,dog,Yes,no preference,Maybe
+LEC001,19,Computer Science,53706,40,-74,pepperoni,cat,No,night owl,Yes
+LEC003,19,Engineering: Mechanical,53715,44,-94,pineapple,dog,No,early bird,No
+LEC001,19,Data Science,53715,40.712776,-74.005974,pepperoni,dog,No,early bird,No
+LEC005,18,Engineering: Industrial,53703,41.385063,2.173404,pepperoni,dog,Yes,no preference,Yes
+LEC002,20,Engineering: Industrial,53715,22.3,91.8,sausage,cat,Yes,early bird,Maybe
+LEC001,24,Engineering: Industrial,53705,13.100485,77.594009,none (just cheese),dog,Yes,no preference,Maybe
+LEC004,19,Statistics,53706,36.778259,-119.417931,pineapple,cat,No,night owl,Yes
+LEC005,21,Economics,53703,40.016869,-105.279617,pepperoni,cat,Yes,night owl,Yes
+LEC003,19,Economics (Mathematical Emphasis),53705,31.230391,121.473701,sausage,neither,Yes,no preference,Maybe
+LEC003,19,Business: Finance,53706,22.270979,113.576675,pepperoni,dog,Yes,night owl,Yes
+LEC003,21,Computer Science,53705,43.073051,-89.40123,green pepper,cat,No,no preference,Maybe
+LEC001,28,Science: Biology/Life,53703,7.190708,125.455338,sausage,dog,No,night owl,Yes
+LEC004,18,Statistics,53703,60.472023,8.468946,none (just cheese),dog,No,early bird,No
+LEC002,19,Computer Science,53715,41.73993,-88.09423,mushroom,cat,Yes,no preference,Yes
+LEC002,21,Economics,53703,26.074301,119.296539,mushroom,cat,No,no preference,Maybe
+LEC002,20,Engineering: Industrial,53715,2.188477,41.379179,sausage,dog,No,night owl,Yes
+LEC003,21,Science: Other|Environmental Science,53703,20.8,-156.3,basil/spinach,cat,No,early bird,Maybe
+LEC006,18,Engineering: Mechanical,53706,25.204849,55.270782,pepperoni,dog,No,night owl,Yes
+LEC002,18,Data Science,53706,42.360081,-71.058884,sausage,dog,Yes,night owl,Yes
+LEC004,23,Engineering: Mechanical,53703,38.82097,-104.78163,sausage,dog,No,night owl,No
+LEC001,19,Engineering: Industrial,53715,47.606209,-122.332069,pepperoni,cat,No,night owl,No
+LEC006,19,Sociology,53703,43.05977,-87.88491,basil/spinach,dog,No,night owl,Maybe
+LEC005,19,Engineering: Mechanical,53711,38.8951,-77.0364,pepperoni,dog,Yes,night owl,No
+LEC005,19,Engineering: Mechanical,53703,41.881832,87.6298,pepperoni,dog,No,no preference,Yes
+LEC002,20,Engineering: Mechanical,53703,46.453825,7.436478,pineapple,dog,Yes,night owl,Yes
+LEC002,20,Economics,53703,30.49996,117.050003,Other,dog,No,early bird,Maybe
+LEC004,21,Science: Other|Psychology,53715,23.12911,113.264381,none (just cheese),cat,No,night owl,Maybe
+LEC002,18,Science: Biology/Life,53706,40.7831,73.9712,basil/spinach,dog,Yes,night owl,Yes
+LEC002,,Business: Information Systems,53706,18.52043,73.856743,green pepper,dog,No,night owl,Yes
+LEC002,,Computer Science,53706,29.424122,-98.493629,none (just cheese),dog,No,no preference,Yes
+LEC002,20,Engineering: Mechanical,53703,41.05995,-80.32312,basil/spinach,dog,Yes,night owl,Maybe
+LEC006,19,Statistics,53715,3.139003,101.686852,mushroom,cat,No,no preference,Maybe
+LEC005,18,Data Science,53706,52.370216,4.895168,basil/spinach,dog,No,night owl,Yes
+LEC006,19,Engineering: Industrial,53706,41.878113,-87.629799,pepperoni,dog,No,no preference,Maybe
+LEC006,18,Business: Information Systems,53706,25.032969,121.565414,mushroom,dog,Yes,night owl,Yes
+LEC001,17,Computer Science,53726,21.027763,105.83416,pepperoni,dog,No,early bird,Yes
+LEC001,20,Business: Information Systems,53711,45.046799,-87.298149,sausage,cat,No,night owl,Yes
+LEC005,25,Engineering: Other,53705,32.7157,-117.1611,mushroom,dog,No,no preference,Yes
+LEC004,18,Engineering: Industrial,53706,19.896767,-155.582779,pepperoni,dog,Yes,night owl,Maybe
+LEC005,18,Computer Science,53706,1.28217,103.865196,sausage,dog,No,night owl,Yes
+LEC003,18,Engineering: Mechanical,53706,44.977753,-93.265015,pepperoni,dog,No,night owl,Yes
+LEC004,20,Engineering: Mechanical,53715,23,90,green pepper,cat,No,no preference,Yes
+LEC005,20,Data Science,53703,45.259546,-84.938476,mushroom,dog,Yes,night owl,Yes
+LEC002,21,Science: Other,53703,41.878113,-87.629799,pineapple,dog,Yes,early bird,No
+LEC004,19,Information science,53703,40.712776,-74.005974,pineapple,cat,Yes,early bird,Maybe
+LEC001,19,Engineering: Mechanical,53715,64.126518,-21.817438,pepperoni,dog,No,night owl,Yes
+LEC003,,Business: Other,53706,42.360081,-71.058884,sausage,cat,Yes,night owl,No
+LEC002,31,Geoscience,53703,-41.126621,-73.059303,pepperoni,cat,No,night owl,Yes
+LEC003,18,Engineering: Biomedical,53706,45.17099,-87.16494,Other,dog,No,night owl,Maybe
+LEC002,18,Engineering: Mechanical,53706,37.774929,-122.419418,Other,dog,Yes,no preference,Yes
+LEC004,,Computer Science,53715,39.70698,-86.0862,mushroom,cat,No,night owl,Yes
+LEC005,20,Science: Biology/Life,53703,44.276402,-88.26989,macaroni/pasta,cat,No,no preference,Maybe
+LEC002,19,Science: Biology/Life,53703,51.492519,-0.25852,sausage,dog,Yes,no preference,Yes
+LEC002,19,Data Science,53703,37.6,14.0154,none (just cheese),dog,No,night owl,Yes
+LEC002,20,Engineering: Industrial,53715,46.685631,7.8562,Other,cat,No,night owl,Maybe
+LEC002,22,Economics,53706,41.385063,2.173404,pineapple,cat,No,night owl,Maybe
+LEC004,21,Engineering: Industrial,53703,41.878113,-87.629799,pepperoni,neither,Yes,early bird,No
+LEC004,19,Engineering: Mechanical,53703,51.507351,-0.127758,none (just cheese),neither,No,no preference,Maybe
+LEC006,18,Engineering: Mechanical,53706,41.077747,1.131593,sausage,dog,No,no preference,Maybe
+LEC006,18,Engineering: Mechanical,53706,43.526,5.445,basil/spinach,dog,Yes,no preference,Yes
+LEC003,22,Economics,53715,43.073051,-89.40123,pepperoni,dog,Yes,early bird,Yes
+LEC005,18,Engineering: Industrial,53706,43.085369,-88.912086,sausage,dog,No,night owl,Maybe
+LEC002,19,Statistics,53703,43.769562,11.255814,basil/spinach,dog,No,no preference,Yes
+LEC001,20,Computer Science,53715,20.880947,-156.681862,sausage,dog,No,night owl,Yes
+LEC003,19,Mathematics/AMEP,53703,64.963051,-19.020836,basil/spinach,dog,No,no preference,Yes
+LEC005,18,Undecided,53706,43.073929,-89.385239,sausage,dog,Yes,early bird,Yes
+LEC003,18,Business: Information Systems,53706,25.204849,55.270782,none (just cheese),dog,No,night owl,No
+LEC003,21,Economics,53703,39.904,116.407,pepperoni,cat,No,night owl,No
+LEC004,18,Engineering: Mechanical,53706,39.739235,-104.99025,pepperoni,cat,Yes,no preference,Maybe
+LEC004,21,Science: Biology/Life,53726,43,89,pepperoni,dog,Yes,night owl,Yes
+LEC003,19,Data Science,53715,43.073051,-89.40123,none (just cheese),dog,No,early bird,Maybe
+LEC002,19,Business: Other|accounting,53703,43.38,-87.9,sausage,neither,No,night owl,Yes
+LEC002,18,Science: Biology/Life,53706,40.122,25.4988,sausage,dog,No,early bird,No
+LEC005,20,Engineering: Mechanical,53715,39.904202,116.407394,sausage,dog,No,night owl,Yes
+LEC001,19,Engineering: Mechanical,53703,-37.813629,144.963058,sausage,dog,Yes,night owl,Yes
+LEC005,21,Economics,53715,46.81,-71.21,pepperoni,cat,No,night owl,Yes
+LEC004,19,Engineering: Mechanical,53715,52.370216,4.895168,mushroom,dog,Yes,night owl,Yes
+LEC001,21,Mathematics/AMEP,53703,34.29006,108.932941,basil/spinach,dog,No,early bird,Yes
+LEC005,21,Engineering: Mechanical,53726,43.804801,-91.226075,pepperoni,dog,Yes,night owl,Yes
+LEC002,18,Data Science,53703,32.715736,-117.161087,none (just cheese),cat,Yes,night owl,Maybe
+LEC004,18,Engineering: Mechanical,53706,20.92674,-156.69386,pepperoni,dog,No,night owl,Maybe
+LEC003,18,Data Science,53706,47.606209,-122.332069,pepperoni,dog,No,early bird,Yes
+LEC005,21,Computer Science,53703,43.07515,-89.3958,sausage,neither,Yes,night owl,Yes
+LEC001,19,Engineering: Mechanical,53562,43.096851,-89.511528,sausage,dog,No,night owl,No
+LEC003,19,Engineering: Mechanical,53715,20.924325,-156.690102,sausage,cat,Yes,night owl,No
+LEC005,20,Data Science,53703,25.0838,77.3212,pepperoni,dog,No,night owl,Maybe
+LEC003,21,Business: Actuarial,53715,43.073051,-89.40123,pineapple,cat,Yes,night owl,Yes
+LEC001,,Computer Science,53715,31.469279,119.765621,pepperoni,dog,No,night owl,Maybe
+LEC005,19,Engineering: Mechanical,53715,43.769562,11.255814,basil/spinach,neither,No,early bird,No
+LEC001,21,Science: Chemistry,53715,38.892059,-77.019913,pepperoni,neither,No,night owl,Yes
+LEC002,19,Business: Finance,53715,42.360081,-71.058884,mushroom,dog,Yes,night owl,Yes
+LEC001,18,Data Science,53703,24.713552,46.675297,none (just cheese),neither,No,night owl,Yes
+LEC003,19,Business: Actuarial,53715,60.391262,5.322054,pepperoni,dog,No,early bird,No
+LEC003,19,Data Science,53715,23.697809,120.960518,pepperoni,cat,No,night owl,Yes
+LEC003,18,Data Science,53706,40.712776,74.005974,pineapple,dog,Yes,early bird,No
+LEC004,19,Engineering: Mechanical,53703,45.126887,-94.528067,sausage,dog,No,night owl,Maybe
+LEC002,21,Science: Biology/Life,53715,48.208176,16.373819,Other,dog,Yes,night owl,No
+LEC006,18,Engineering: Mechanical,53706,44.0628,-121.30451,pepperoni,dog,No,night owl,Yes
+LEC003,21,Statistics,53703,31.230391,121.473701,pineapple,cat,Yes,night owl,Yes
+LEC005,21,Economics,53703,47.62772,-122.51368,macaroni/pasta,cat,No,no preference,No
+LEC003,19,Engineering: Mechanical,53715,65.68204,-18.090534,sausage,cat,No,no preference,No
+LEC004,21,Economics,53715,48.856613,2.352222,basil/spinach,dog,Yes,night owl,No
+LEC001,18,Engineering: Biomedical,53706,33.501324,-111.925278,pineapple,dog,Yes,early bird,No
+LEC005,18,Data Science,53706,14.77046,-91.183189,mushroom,cat,No,night owl,Maybe
+LEC002,18,Engineering: Industrial,53706,10.480594,-66.903603,mushroom,neither,No,night owl,Maybe
+LEC004,21,Engineering: Mechanical,53715,48.856613,2.352222,mushroom,cat,Yes,night owl,Yes
+LEC001,19,Science: Biology/Life,53706,20.788602,-156.003662,green pepper,dog,Yes,no preference,No
+LEC006,18,Data Science,53706,36.59239,-121.86875,pepperoni,cat,No,night owl,Maybe
+LEC002,,Engineering: Industrial,53705,47.6,-122.33,sausage,dog,No,early bird,No
+LEC001,18,Engineering: Mechanical,53703,23.885942,45.079163,Other,cat,No,night owl,Maybe
+LEC002,18,Engineering: Industrial,53532,47.606209,-122.332069,mushroom,dog,No,night owl,Maybe
+LEC002,17,Engineering: Biomedical,53706,39.5755,-106.100403,pepperoni,dog,Yes,night owl,Maybe
+LEC002,20,Data Science,53711,39.904202,116.407394,pepperoni,dog,No,night owl,Yes
+LEC001,19,Engineering: Industrial,53705,41.878113,-87.629799,tater tots,cat,No,night owl,No
+LEC004,19,Political Science,53703,55.679626,12.581921,pepperoni,dog,Yes,no preference,Maybe
+LEC005,18,Computer Science,53715,28.538336,-81.379234,pepperoni,dog,No,night owl,Maybe
+LEC004,29,Engineering: Mechanical,53704,50.064651,19.944981,sausage,dog,No,early bird,Maybe
+LEC005,18,Engineering: Other,53706,41.385063,2.173404,mushroom,cat,No,night owl,Yes
+LEC001,19,Engineering: Mechanical,53703,44.977753,-93.265015,Other,cat,Yes,early bird,No
+LEC001,32,Design Studies,53705,48.856613,2.352222,mushroom,dog,No,early bird,Yes
+LEC002,20,Engineering: Mechanical,53703,41.28347,-70.099449,pepperoni,dog,Yes,night owl,Yes
+LEC003,19,Engineering: Industrial,53715,41.73849,-71.30418,pepperoni,dog,No,night owl,Yes
+LEC001,18,Data Science,53706,43.073051,-89.40123,sausage,dog,No,early bird,Yes
+LEC001,19,Computer Science,53715,31.230391,121.473701,pineapple,cat,No,night owl,Yes
+LEC001,19,Data Science,53703,37.9838,23.7275,sausage,dog,Yes,no preference,Yes
+LEC005,20,Engineering: Biomedical,53703,47.497913,19.040236,Other,cat,Yes,night owl,No
+LEC004,18,Economics,53711,13.756331,100.501762,Other,dog,No,night owl,Maybe
+LEC002,18,Data Science,53706,3.864255,73.388672,pepperoni,dog,Yes,night owl,Maybe
+LEC006,18,Engineering: Mechanical,53706,32.715736,-117.161087,macaroni/pasta,dog,Yes,night owl,Yes
+LEC001,19,Business: Actuarial,53715,18.32431,64.941612,pepperoni,dog,No,no preference,Yes
+LEC001,22,Psychology,53711,43.055333,-89.425946,pineapple,dog,Yes,early bird,No
+LEC003,18,Computer Science,53706,40.744678,-73.758072,mushroom,cat,No,night owl,Maybe
+LEC006,18,Data Science,53715,38.9784,76.4922,mushroom,cat,No,early bird,Yes
+LEC004,20,Science: Other,53726,55.675758,12.56902,none (just cheese),cat,Yes,night owl,Yes
+LEC001,20,Science: Biology/Life,53715,40.713051,-74.007233,pineapple,cat,No,night owl,Maybe
+LEC004,18,Engineering: Industrial,53706,51.507351,-0.127758,pepperoni,dog,Yes,no preference,No
+LEC004,25,Computer Science,53703,38.736946,-9.142685,pepperoni,dog,No,night owl,Yes
+LEC002,18,Computer Science,53706,22.543097,114.057861,pepperoni,cat,No,no preference,Yes
+LEC004,25,Science: Chemistry,53703,37.566536,126.977966,Other,cat,Yes,night owl,Maybe
+LEC002,19,Engineering: Mechanical,53715,26.338,-81.775,pepperoni,dog,Yes,no preference,Maybe
+LEC005,19,Engineering: Mechanical,53715,33.448376,-112.074036,pepperoni,neither,Yes,early bird,No
+LEC005,19,Engineering: Mechanical,53703,43.073051,-89.40123,pepperoni,cat,No,no preference,Yes
+LEC001,19,Engineering: Mechanical,53705,26.647661,106.63015,mushroom,cat,No,night owl,No
+LEC003,18,Undecided,53706,43.2967,87.9876,pepperoni,dog,No,night owl,No
+LEC005,19,Science: Physics,53703,78.225,15.626,sausage,cat,No,early bird,No
+LEC002,,Science: Other|Environmetal Science,53703,52.973558,-9.425102,none (just cheese),dog,Yes,night owl,Maybe
+LEC006,19,Economics (Mathematical Emphasis),53715,37.774929,-122.419418,sausage,cat,Yes,night owl,Yes
+LEC002,20,Business: Finance,53703,40.7128,74.006,pineapple,dog,No,night owl,Yes
+LEC001,21,Science: Biology/Life,53703,44.794,-93.148,pepperoni,dog,No,night owl,No
+LEC002,19,Engineering: Mechanical,53706,36.17,-115.14,pepperoni,cat,No,night owl,Maybe
+LEC001,18,Engineering: Biomedical,53706,21.161907,-86.851524,none (just cheese),dog,No,early bird,Maybe
+LEC001,18,Computer Science,53715,48.856613,2.352222,pineapple,neither,Yes,no preference,No
+LEC004,19,Engineering: Mechanical,53715,48.137,11.576,green pepper,dog,No,early bird,No
+LEC001,20,Engineering: Biomedical,53703,43.07393,-89.38524,sausage,dog,No,night owl,Maybe
+LEC002,18,Science: Other,53706,35.6762,139.6503,Other,dog,No,no preference,Yes
+LEC004,19,Computer Science,53703,41.902782,12.496365,none (just cheese),neither,Yes,night owl,No
+LEC001,20,Science: Other|Atmospheric and Oceanic Sciences (AOS),53711,49.299171,19.94902,pepperoni,dog,No,night owl,Maybe
+LEC002,18,Data Science,53706,41.380898,2.12282,pepperoni,dog,No,night owl,Maybe
+LEC006,18,Data Science,53706,48.257919,4.03073,mushroom,cat,Yes,early bird,No
+LEC005,19,Engineering: Mechanical,53715,35.0844,106.6504,pineapple,dog,Yes,early bird,Yes
+LEC002,23,Economics,53703,121,5,pepperoni,neither,No,no preference,Maybe
+LEC004,18,Business: Actuarial,53706,21.306944,-157.858337,pineapple,dog,Yes,night owl,Maybe
+LEC005,18,Economics,53706,43,-87.9,pepperoni,dog,Yes,early bird,Maybe
+LEC005,23,Business: Other|Business Analytics,53703,31.230391,121.473701,pineapple,cat,Yes,night owl,Maybe
+LEC002,22,Psychology,53703,25.032969,121.565414,mushroom,dog,No,no preference,Yes
+LEC005,18,Computer Science,53706,43.0722,89.4008,sausage,cat,No,night owl,Yes
+LEC006,18,Data Science,53706,52.370216,4.895168,mushroom,dog,Yes,night owl,Maybe
+LEC004,20,Data Science,53703,35.726212,-83.491226,pepperoni,cat,No,early bird,Yes
+LEC001,18,Computer Science,53703,27,153,mushroom,cat,No,early bird,Yes
+LEC005,18,Data Science,53706,56.117017,-3.879547,pineapple,dog,Yes,night owl,Yes
+LEC001,20,Engineering: Biomedical,53715,45.983964,9.262161,sausage,dog,No,night owl,No
+LEC005,21,Psychology,53703,43.038902,-87.906471,macaroni/pasta,dog,Yes,night owl,Yes
+LEC002,18,Engineering: Mechanical,53706,41.38879,2.15084,sausage,dog,Yes,no preference,Maybe
+LEC003,18,Data Science,53706,47.48,-122.28,basil/spinach,dog,No,no preference,Maybe
+LEC004,21,Data Science,53703,34.746613,113.625328,green pepper,neither,Yes,no preference,No
+LEC005,21,Data Science,53703,38.240946,-85.757571,pepperoni,dog,No,no preference,Yes
+LEC005,19,Engineering: Mechanical,53703,43.07291,-89.39439,sausage,dog,No,night owl,Maybe
+LEC005,19,Engineering: Mechanical,53715,56.373482,-3.84306,none (just cheese),dog,No,early bird,Yes
+LEC005,19,Data Science,53703,41.381717,2.177925,pepperoni,dog,Yes,night owl,Yes
+LEC005,19,Engineering: Mechanical,53714,43.089199,87.8876,pepperoni,dog,No,night owl,Yes
+LEC005,19,Engineering: Other,53590,38.4,11.2,pepperoni,dog,Yes,early bird,No
+LEC005,19,Engineering: Mechanical,53715,25.761681,-80.191788,pepperoni,dog,Yes,night owl,No
+LEC005,19,Engineering: Mechanical,53703,44.5133,88.0133,mushroom,dog,Yes,night owl,Maybe
+LEC002,,Computer Science,53706,41.8781,87.6298,pepperoni,dog,No,night owl,Maybe
+LEC005,19,Business: Finance,53703,38.98378,-77.20871,none (just cheese),dog,Yes,night owl,Yes
+LEC005,18,Business: Finance,53703,22.9068,43.1729,pepperoni,dog,No,night owl,Yes
+LEC005,19,Engineering: Mechanical,53715,43.073051,-89.40123,pepperoni,dog,No,early bird,No
+LEC004,23,Economics,53703,43.083321,-89.372475,mushroom,dog,Yes,early bird,No
+LEC002,17,Business: Actuarial,53715,34.746613,113.625328,sausage,neither,Yes,night owl,Maybe
+LEC005,18,Engineering: Biomedical,53715,46.58276,7.08058,pepperoni,dog,No,early bird,No
+LEC001,20,Statistics,53715,39.904202,116.407394,mushroom,dog,Yes,early bird,No
+LEC002,18,Computer Science,53706,35.96691,-75.627823,sausage,dog,No,early bird,Yes
+LEC005,21,Mathematics/AMEP,53703,13.756331,100.501762,pepperoni,dog,No,night owl,Yes
+LEC005,20,Engineering: Biomedical,53715,28.538336,-81.379234,sausage,cat,No,night owl,Maybe
+LEC002,19,Engineering: Mechanical,53703,44.822783,-93.370743,sausage,dog,Yes,early bird,No
+LEC005,19,Engineering: Mechanical,53715,42.15,-87.96,pepperoni,dog,No,night owl,Yes
+LEC005,20,Journalism,53715,41.3874,2.1686,basil/spinach,dog,Yes,early bird,Maybe
+LEC001,19,Engineering: Mechanical,53703,42.864552,-88.333199,pepperoni,dog,No,early bird,Maybe
+LEC005,17,Data Science,53706,40.7128,74.006,macaroni/pasta,dog,No,night owl,Yes
+LEC005,19,Science: Other|Politcal Science,53703,41.878113,-87.629799,pepperoni,dog,Yes,night owl,No
+LEC002,20,Business: Finance,53703,40.7831,73.9712,sausage,dog,Yes,night owl,No
+LEC004,20,Data Science,53703,43,87.9,none (just cheese),dog,No,night owl,Yes
+LEC001,18,Data Science,53706,38.900497,-77.007507,pineapple,dog,No,night owl,Maybe
+LEC005,18,Engineering: Industrial,53706,45.440845,12.315515,sausage,dog,No,night owl,Maybe
+LEC002,19,Data Science,53715,25.73403,-80.24697,pepperoni,dog,Yes,night owl,Yes
+LEC005,18,Political Science,53706,42.360081,-71.058884,macaroni/pasta,dog,Yes,night owl,Yes
+LEC002,20,Economics,53703,41.878113,-87.629799,pepperoni,dog,Yes,no preference,Maybe
+LEC004,18,Engineering: Mechanical,55088,48.135124,11.581981,pepperoni,dog,Yes,no preference,No
+LEC002,23,Business: Information Systems,53703,37.566536,126.977966,sausage,dog,No,night owl,Maybe
+LEC005,17,Data Science,53703,49.2827,123.1207,sausage,dog,Yes,night owl,Yes
+LEC005,,Statistics,53726,40.712776,-74.005974,Other,dog,Yes,no preference,Yes
+LEC001,18,Science: Biology/Life,53706,48.856613,2.352222,pepperoni,cat,Yes,early bird,No
+LEC005,32,Communication Sciences and Disorder,53705,37.566536,126.977966,pineapple,dog,Yes,no preference,Yes
+LEC001,18,Data Science,53706,41.878113,-87.629799,macaroni/pasta,dog,No,night owl,Yes
+LEC002,17,Business: Information Systems,53706,-6.17511,106.865036,sausage,neither,No,no preference,Maybe
+LEC002,25,Science: Other|Geoscience,53711,46.947975,7.447447,mushroom,cat,No,no preference,Yes
+LEC002,20,Economics,53703,46.7867,92.1005,macaroni/pasta,neither,Yes,early bird,No
+LEC002,21,Business: Other|Marketing,53703,20.878332,-156.682495,basil/spinach,dog,No,night owl,Yes
+LEC001,19,Statistics,53703,52.370216,4.895168,sausage,dog,No,night owl,Maybe
+LEC005,20,Engineering: Biomedical,53711,35.689487,139.691711,basil/spinach,dog,No,night owl,Yes
+LEC005,22,Science: Other|Atmospheric and oceanic science,53703,26.1224,80.1373,pepperoni,dog,No,early bird,No
+LEC001,18,Engineering: Mechanical,53726,21.306944,-157.858337,sausage,dog,No,night owl,Yes
+LEC005,21,Business: Finance,53703,43.11339,-89.37726,sausage,dog,No,night owl,Yes
+LEC001,,Business: Other,53703,22.396427,114.109497,Other,dog,No,early bird,Maybe
+LEC004,19,Science: Biology/Life,53706,41.2,96,pepperoni,cat,No,early bird,No
+LEC004,18,Engineering: Industrial,53706,49.74609,7.4609,pepperoni,cat,No,early bird,Yes
+LEC004,20,Science: Other|Environmental Science,53715,43,-89,mushroom,dog,Yes,night owl,Maybe
+LEC001,18,Business: Finance,53706,39.7392,104.9903,pepperoni,dog,No,early bird,No
+LEC002,,Computer Science,53706,41.67566,-86.28645,pineapple,cat,No,no preference,Maybe
+LEC002,18,Business: Other,53706,33.88509,-118.409714,green pepper,dog,Yes,night owl,No
+LEC001,20,Engineering: Biomedical,53711,41.8781,87.6298,pepperoni,dog,No,night owl,Yes
+LEC002,20,Data Science,53715,10.97285,106.477707,mushroom,dog,No,no preference,Maybe
+LEC002,20,Computer Science,53703,36.16156,-75.752441,pepperoni,dog,Yes,no preference,Yes
+LEC002,20,Business: Other|Marketing,53703,35.689487,139.691711,pepperoni,dog,Yes,night owl,Yes
+LEC002,18,Engineering: Other|Engineering Mechanics,53706,35.689487,139.691711,mushroom,cat,No,night owl,Maybe
+LEC002,21,Economics (Mathematical Emphasis),53703,46.25872,-91.745583,sausage,dog,Yes,no preference,Yes
+LEC002,19,Mathematics,53703,39.904202,116.407394,tater tots,cat,No,night owl,Yes
+LEC002,18,Data Science,53703,40.706067,-74.030063,pepperoni,dog,No,night owl,Yes
+LEC002,19,Pre-Business,53703,39.60502,-106.51641,pepperoni,dog,Yes,early bird,No
+LEC002,20,Mathematics/AMEP,53703,35.106766,-106.629181,green pepper,cat,No,night owl,Yes
+LEC003,20,Science: Physics,53715,64.963051,-19.020836,mushroom,dog,No,night owl,Yes
+LEC002,20,Business: Finance,53703,31.298973,120.585289,pineapple,cat,Yes,night owl,No
+LEC002,18,Economics,53706,48.856613,2.352222,basil/spinach,dog,No,night owl,Maybe
+LEC001,21,Data Science,53703,40.712776,-74.005974,sausage,dog,No,night owl,Yes
+LEC002,19,Engineering: Industrial,53715,45.914,-89.255,sausage,dog,Yes,early bird,Yes
+LEC002,19,Computer Science,53703,20,110,pineapple,cat,No,night owl,Maybe
+LEC002,19,Engineering: Mechanical,53726,41.878113,-87.629799,basil/spinach,dog,No,early bird,Yes
+LEC005,19,Computer Science,53715,48.8566,2.3522,sausage,dog,No,night owl,Maybe
+LEC002,19,Industrial Engineering,53703,48.856613,2.352222,basil/spinach,dog,No,early bird,Yes
+LEC002,18,Data Science,53706,43.073051,-89.40123,pepperoni,dog,Yes,night owl,Yes
+LEC002,20,Statistics,53703,31.224361,121.46917,mushroom,dog,No,no preference,Maybe
+LEC002,18,Computer Science,53706,35.689487,139.691711,green pepper,dog,No,night owl,Yes
+LEC002,18,Computer Science,53706,25.03841,121.563698,pineapple,dog,No,night owl,Yes
+LEC002,19,Engineering: Mechanical,53715,43.06827,-89.40263,sausage,dog,No,night owl,No
+LEC002,18,Engineering: Mechanical,53703,43,89.4,pepperoni,cat,No,no preference,Maybe
+LEC002,,Mechanical Engineering,53703,41.8781,87.6298,Other,dog,Yes,night owl,Yes
+LEC002,26,Science: Other,57075,42.76093,-89.9589,Other,dog,Yes,early bird,No
+LEC002,21,Science: Other|Environmental science,53714,47.606209,-122.332069,pepperoni,dog,Yes,early bird,Yes
+LEC002,18,Data Science,53706,35.69,139.69,pineapple,cat,No,night owl,Yes
+LEC002,18,Computer Science,53706,42.807091,-86.01886,none (just cheese),cat,Yes,early bird,Yes
+LEC002,19,Engineering: Mechanical,53703,45.892099,8.997803,green pepper,dog,No,night owl,Yes
+LEC002,20,Computer Science,53715,40.755645,-74.034119,sausage,dog,Yes,night owl,Yes
+LEC001,18,Engineering: Mechanical,53066,43.073051,-89.40123,pepperoni,dog,No,night owl,Yes
+LEC002,18,Data Science,53706,21.306944,-157.858337,pineapple,dog,No,night owl,No
+LEC002,18,Engineering: Industrial,53706,32.0853,34.781769,pepperoni,dog,No,night owl,Maybe
+LEC002,19,Engineering: Mechanical,53703,46.786671,-92.100487,sausage,dog,No,early bird,No
+LEC002,19,Engineering: Mechanical,53715,42.590519,-88.435287,pepperoni,dog,No,early bird,No
+LEC002,23,Data Science,53703,37,127,pineapple,dog,No,night owl,Yes
+LEC002,20,Data Science,53703,43.06875,-89.39434,pepperoni,dog,Yes,no preference,Maybe
+LEC002,20,Engineering: Mechanical,53703,41.499321,-81.694359,pepperoni,dog,Yes,night owl,Maybe
+LEC002,21,Economics,53703,38.969021,-0.18516,sausage,dog,Yes,no preference,No
+LEC002,20,Economics,53703,50.85,4.35,pepperoni,dog,No,no preference,Yes
+LEC002,19,Data Science,53715,36.39619,10.61412,none (just cheese),cat,No,no preference,Yes
+LEC002,20,Engineering: Mechanical,53711,43.073051,-89.40123,green pepper,dog,Yes,night owl,No
+LEC002,30,Life Sciences Communication,53562,52.399448,0.25979,basil/spinach,cat,Yes,night owl,Yes
+LEC002,20,Business: Finance,53703,41.878,-87.629799,pepperoni,dog,No,no preference,Yes
+LEC002,18,Computer Science,53706,31.2304,121.4737,pepperoni,cat,No,night owl,Maybe
+LEC005,22,Economics,53711,48.135124,11.581981,pepperoni,cat,Yes,no preference,Yes
+LEC002,19,Engineering: Mechanical,53711,51.5,0.1276,pepperoni,dog,No,night owl,No
+LEC001,18,Computer Science,53703,31.298973,120.585289,pineapple,neither,No,night owl,No
+LEC001,19,Computer Science,53703,37,-97,macaroni/pasta,cat,No,no preference,Maybe
+LEC002,19,International Studies,53703,8.25115,34.588348,none (just cheese),dog,Yes,early bird,Maybe
+LEC001,19,Engineering: Mechanical,53703,43.038902,-87.906471,pineapple,cat,No,night owl,Yes
+LEC001,19,Science: Other|Atmospheric and Oceanic Sciences,53703,48.856613,2.352222,pepperoni,dog,Yes,night owl,Yes
+LEC004,20,Data Science,53703,41.878113,-87.629799,green pepper,dog,No,early bird,Yes
+LEC004,18,Undecided,53706,39.3823,87.2971,sausage,dog,Yes,early bird,No
+LEC004,21,Data Science,53703,31.230391,121.473701,mushroom,cat,No,night owl,Maybe
+LEC001,18,Data Science,53706,32.776474,-79.931053,none (just cheese),dog,No,early bird,Yes
+LEC006,18,Science: Physics,53706,43.073051,-89.40123,sausage,dog,No,night owl,Yes
+LEC001,19,Economics,53703,35.689487,139.691711,pineapple,dog,Yes,night owl,Yes
+LEC004,18,Data Science,53715,50.8,-1.085,Other,dog,No,night owl,Maybe
+LEC002,21,Languages,53703,37.389091,-5.984459,mushroom,cat,No,early bird,No
+LEC001,19,Rehabilitation Psychology,53706,36.204823,138.25293,pineapple,cat,No,no preference,Maybe
+LEC006,18,Data Science,53705,37.5741,122.3794,pepperoni,dog,Yes,night owl,Yes
+LEC004,18,Undecided,53706,26.452,-81.9481,pepperoni,dog,Yes,night owl,Yes
+LEC002,19,Business: Actuarial,53703,37.774929,-122.419418,pineapple,dog,No,early bird,No
+LEC005,18,Undecided,53706,55.676098,12.568337,pepperoni,dog,Yes,night owl,No
+LEC001,19,Engineering: Mechanical,53703,43.073051,-89.40123,pepperoni,dog,Yes,night owl,Yes
+LEC002,18,Statistics,53706,40.713051,-74.007233,none (just cheese),dog,No,night owl,Maybe
+LEC003,21,Languages,53511,39.952583,-75.165222,pepperoni,dog,No,night owl,Yes
+LEC002,18,Computer Science,53706,12.523579,-70.03355,pineapple,dog,No,night owl,Yes
+LEC004,,Engineering: Biomedical,53715,41.878113,-87.629799,pepperoni,dog,Yes,night owl,No
+LEC001,,Data Science,53701,40.37336,88.231483,pepperoni,dog,Yes,night owl,No
+LEC001,19,Data Science,53703,51.5072,0.1276,pepperoni,dog,Yes,no preference,No
+LEC002,18,Data Science,53706,47.987289,0.22367,none (just cheese),dog,Yes,night owl,Maybe
+LEC002,19,Business: Actuarial,53715,45.17963,-87.150009,sausage,dog,Yes,no preference,No
+LEC005,21,Science: Biology/Life,53703,21.23556,-86.73142,pepperoni,dog,Yes,night owl,Yes
+LEC004,18,Engineering: Industrial,53706,43.073051,-89.40123,sausage,dog,No,night owl,Yes
+LEC001,21,Science: Biology/Life,53715,41.878113,-87.629799,green pepper,cat,No,night owl,Yes
+LEC001,20,Engineering: Biomedical,53703,48.8566,2.3522,mushroom,cat,Yes,night owl,Maybe
+LEC005,19,Engineering: Mechanical,53703,49.28273,-123.120735,basil/spinach,dog,No,night owl,Yes
+LEC001,19,Data Science,53706,37.23082,-107.59529,basil/spinach,dog,No,no preference,Maybe
+LEC001,19,Business: Finance,53703,26.20047,127.728577,mushroom,dog,No,night owl,Maybe
+LEC006,18,Statistics,53706,32.060253,118.796875,pineapple,cat,Yes,early bird,Maybe
+LEC002,20,Business: Information Systems,53706,52.520008,13.404954,none (just cheese),dog,No,early bird,Yes
+LEC006,18,Undecided,53706,43.038902,-87.906471,sausage,dog,No,night owl,Yes
+LEC002,20,Accounting,53703,32.79649,-117.192123,mushroom,dog,No,no preference,Yes
+LEC006,19,Statistics,53715,21.315603,-157.858093,pepperoni,cat,No,night owl,No
+LEC004,20,Science: Biology/Life,53706,13.756331,100.501762,pineapple,neither,No,night owl,Yes
+LEC004,20,Business: Other,53715,42.818878,-89.494115,pepperoni,dog,No,night owl,Yes
+LEC001,19,Engineering: Mechanical,53703,44.9778,93.265,pepperoni,dog,Yes,night owl,Maybe
+LEC004,18,Engineering: Industrial,53706,41.3874,2.1686,none (just cheese),dog,No,night owl,Maybe
+LEC001,37,Engineering: Other|Civil- Intelligent Transportation System,53705,23.810331,90.412521,pineapple,neither,Yes,early bird,Yes
+LEC001,19,Science: Physics,53703,42.696842,-89.026932,sausage,cat,No,night owl,Yes
+LEC006,19,Data Science,53715,53.266479,-9.052602,macaroni/pasta,dog,No,no preference,Yes
+LEC001,19,Data Science,53703,45.19356,-87.118767,pepperoni,dog,Yes,early bird,Maybe
+LEC005,18,Engineering: Industrial,53715,21.306944,-157.858337,none (just cheese),dog,Yes,night owl,Maybe
+LEC004,19,Computer Science,53703,40.678177,-73.94416,Other,cat,No,night owl,Maybe
+LEC005,18,Science: Biology/Life,53706,44.513317,-88.013298,pepperoni,dog,Yes,night owl,No
+LEC001,19,Engineering: Mechanical,53703,40.712776,-74.005974,none (just cheese),dog,Yes,early bird,Maybe
+LEC002,22,Economics,53703,37.6,127,pineapple,neither,Yes,night owl,Maybe
+LEC004,20,Engineering: Industrial,53703,39.359772,-111.584167,pepperoni,dog,Yes,early bird,Maybe
+LEC001,19,Data Science,53706,31.298973,120.585289,mushroom,cat,No,night owl,Yes
+LEC001,20,Computer Science,53715,43.073051,-89.40123,none (just cheese),dog,No,night owl,Maybe
+LEC001,25,Data Science,53703,37.566536,126.977966,pineapple,dog,Yes,night owl,No
+LEC005,19,Data Science,53706,36.169941,-115.139832,pepperoni,dog,Yes,night owl,Yes
+LEC001,19,Engineering: Mechanical,53703,44.834209,87.376266,sausage,dog,Yes,no preference,Yes
+LEC005,20,Engineering: Mechanical,53703,43.17854,-89.163391,sausage,dog,Yes,night owl,Maybe
+LEC004,19,Engineering: Industrial,53703,41.93101,-87.64987,pepperoni,neither,No,early bird,No
+LEC003,19,Engineering: Industrial,53703,11.89,-85,pepperoni,dog,Yes,night owl,Maybe
+LEC003,19,Engineering: Mechanical,53715,33.873417,-115.900993,pepperoni,dog,No,early bird,No
+LEC001,22,Economics,53703,42.360081,-71.058884,pepperoni,dog,No,no preference,Maybe
+LEC001,18,Data Science,53706,34.04018,-118.48849,pepperoni,dog,Yes,night owl,Yes
+LEC002,42069,Data Science,53704,43,-89,none (just cheese),neither,No,no preference,No
+LEC004,20,Business: Finance,53715,38.71049,-75.07657,sausage,dog,No,early bird,No
+LEC004,21,Engineering: Mechanical,53715,43.073051,-89.40123,Other,dog,Yes,early bird,No
+LEC004,18,Engineering: Industrial,53706,44.261799,-88.407249,sausage,dog,Yes,night owl,No
+LEC004,26,Science: Other|Animal and Dairy Science,53705,53.270668,-9.05679,pepperoni,dog,No,early bird,Yes
+LEC005,20,Data Science,53715,43.355099,11.02956,sausage,dog,No,early bird,Maybe
+LEC003,19,Engineering: Mechanical,53715,45.40857,-91.73542,sausage,dog,Yes,no preference,No
+LEC004,22,Engineering: Mechanical,53726,55.864239,-4.251806,pepperoni,dog,Yes,night owl,Yes
+LEC001,18,Engineering: Mechanical,53706,50.808712,-0.1604,pepperoni,dog,Yes,night owl,Maybe
+LEC004,19,Engineering: Mechanical,53703,13.35433,103.77549,none (just cheese),dog,No,no preference,Maybe
+LEC005,24,Mathematics/AMEP,53705,40.7,-74,pineapple,cat,No,early bird,Maybe
+LEC001,19,Interior Architecture,53532,27.683536,-82.736092,mushroom,cat,Yes,no preference,Yes
+LEC001,19,Science: Chemistry,53715,40.7,-74,sausage,dog,No,night owl,Maybe
+LEC001,20,Engineering: Biomedical,53703,-33.86882,151.20929,pepperoni,dog,No,no preference,Maybe
+LEC001,20,Engineering: Industrial,53715,26.614149,-81.825768,pepperoni,dog,No,night owl,No
+LEC001,19,Engineering: Biomedical,53706,45.440845,12.315515,none (just cheese),dog,Yes,night owl,Yes
+LEC001,19,Data Science,53726,43.0766,89.4125,none (just cheese),cat,No,night owl,No
+LEC001,20,Engineering: Biomedical,53711,33.684566,-117.826508,pineapple,dog,Yes,early bird,Maybe
+LEC001,21,Statistics,26617,22.396427,114.109497,pineapple,dog,Yes,night owl,Maybe
+LEC001,18,Data Science,53706,-33.86882,151.20929,pepperoni,dog,Yes,night owl,No
+LEC001,21,Economics,53703,1.53897,103.58007,pineapple,neither,Yes,night owl,Yes
+LEC001,18,Data Science,53558,41.877541,-88.066727,mushroom,dog,No,night owl,Maybe
+LEC001,17,Computer Science,53703,25.204849,55.270782,pepperoni,dog,Yes,night owl,Yes
+LEC001,19,Engineering: Mechanical,53715,19.7,-155,pineapple,dog,Yes,early bird,Yes
+LEC001,19,Data Science,53703,41.878113,-87.629799,none (just cheese),cat,Yes,night owl,Yes
+LEC001,18,Science: Biology/Life,53715,39.904202,116.407394,basil/spinach,dog,Yes,night owl,Maybe
+LEC001,20,Science: Physics,53711,43.038902,-87.906471,pepperoni,dog,No,no preference,Yes
+LEC001,18,Engineering: Mechanical,53706,41.902782,12.496366,pepperoni,neither,Yes,night owl,Yes
+LEC001,18,Data Science,53706,47.60323,-122.330276,Other,dog,No,night owl,Yes
+LEC001,19,Economics,53706,40.7,74,none (just cheese),dog,Yes,night owl,Yes
+LEC001,19,Business: Finance,53703,34.052235,-118.243683,mushroom,dog,Yes,early bird,Maybe
+LEC001,20,Science: Other|Atmospheric & Oceanic Sciences,53711,40.412776,-74.005974,pepperoni,neither,No,early bird,Yes
+LEC001,19,Computer Science,53706,37.774929,-122.419418,none (just cheese),cat,No,early bird,Yes
+LEC001,20,Engineering: Mechanical,53703,44.78441,-93.17308,pepperoni,dog,Yes,no preference,Yes
+LEC001,22,Engineering: Other,53726,39.48214,-106.048691,pineapple,cat,No,no preference,Maybe
+LEC001,21,Computer Science,53703,33.68,-117.82,basil/spinach,cat,No,early bird,No
+LEC001,17,Computer Science,53706,25.204849,55.270782,pepperoni,neither,Yes,no preference,Maybe
+LEC001,18,Engineering: Industrial,53706,41.917519,-87.694771,basil/spinach,dog,Yes,night owl,Yes
+LEC001,18,Engineering: Biomedical,53706,42.361145,-71.057083,macaroni/pasta,dog,No,night owl,Yes
+LEC001,,Engineering: Biomedical,53703,43.073929,-89.385239,basil/spinach,dog,No,early bird,No
+LEC001,18,Economics,53706,30.20241,120.226822,Other,neither,Yes,early bird,No
+LEC001,20,Engineering: Biomedical,53703,41.198496,0.773436,pepperoni,dog,No,night owl,Yes
+LEC001,19,Engineering: Mechanical,53703,39.739235,-104.99025,pepperoni,dog,Yes,no preference,Maybe
+LEC001,20,Science: Chemistry,53703,32.16761,120.012444,pepperoni,neither,No,night owl,Maybe
+LEC001,19,Data Science,53703,43.0722,89.4008,pineapple,dog,Yes,night owl,Yes
+LEC001,18,Science: Biology/Life,53715,41.878113,-87.629799,sausage,dog,Yes,early bird,No
+LEC004,,Business: Information Systems,53715,42.360081,-71.058884,Other,dog,No,no preference,Maybe
+LEC001,21,Engineering: Biomedical,53703,44.513317,-88.013298,pepperoni,dog,No,night owl,No
+LEC001,20,Data Science,53132,43.073051,-89.40123,Other,cat,No,night owl,Maybe
+LEC001,18,Business: Actuarial,53706,48.856613,2.352222,sausage,dog,No,no preference,Maybe
+LEC001,20,Political Science,53715,48.135124,11.581981,sausage,cat,Yes,night owl,Yes
+LEC001,19,Engineering: Industrial,53703,41,-74,sausage,dog,Yes,no preference,No
+LEC001,20,Psychology,53703,43.083321,-89.372475,Other,neither,No,night owl,Yes
+LEC001,18,Computer Science and Statistics,53706,36.162663,-86.781601,mushroom,dog,Yes,early bird,Maybe
+LEC001,19,Engineering: Mechanical,53703,25.88,-80.16,pepperoni,dog,No,night owl,Yes
+LEC001,18,Computer Science,53703,46.947975,7.447447,sausage,cat,Yes,night owl,No
+LEC001,19,Business: Information Systems,53703,41.17555,73.64731,pepperoni,dog,No,night owl,Maybe
+LEC001,20,Political Science,53703,45.018269,-93.473892,sausage,dog,No,night owl,Maybe
+LEC001,,Business analytics,53705,45.50169,-73.567253,pineapple,cat,No,no preference,No
+LEC001,21,Science: Biology/Life,53726,32.060253,118.796875,mushroom,cat,No,night owl,No
+LEC001,19,Engineering: Mechanical,53706,35.806,-78.68483,none (just cheese),dog,No,night owl,Yes
+LEC005,20,Data Science,53726,31.230391,121.473701,none (just cheese),dog,Yes,no preference,Maybe
+LEC005,18,Engineering: Mechanical,53706,41.878113,-87.629799,Other,cat,No,night owl,Maybe
+LEC004,18,Statistics,53706,27.35741,-82.615471,none (just cheese),dog,Yes,early bird,No
+LEC002,20,Business: Finance,53715,35.726212,-83.491226,pepperoni,dog,Yes,no preference,Yes
+LEC002,18,Undecided,53706,43.769562,11.255814,pepperoni,dog,No,night owl,Yes
+LEC004,19,Business: Actuarial,53703,43.040433,-87.897423,sausage,cat,No,night owl,No
+LEC004,19,Engineering: Mechanical,5,25.034281,-77.396278,sausage,dog,Yes,no preference,Yes
+LEC001,,Engineering: Mechanical,53706,34.052235,-118.243683,Other,dog,Yes,night owl,Yes
+LEC003,18,Engineering: Industrial,53706,20.798363,-156.331924,none (just cheese),dog,Yes,early bird,No
+LEC002,19,Engineering: Biomedical,53703,51.1784,115.5708,pineapple,dog,Yes,night owl,No
+LEC005,19,Statistics,53703,43.05367,-88.44062,pepperoni,dog,Yes,night owl,No
+LEC004,18,Engineering: Industrial,53706,36.110168,-97.058571,none (just cheese),dog,No,early bird,Maybe
+LEC004,21,Computer Science,53703,43.07016,-89.39386,mushroom,cat,Yes,early bird,No
+LEC005,19,Data Science,53726,43.073051,-89.40123,pepperoni,dog,No,early bird,Yes
+LEC004,18,Data Science,53706,41.878113,-87.629799,macaroni/pasta,dog,Yes,early bird,Maybe
+LEC001,20,Business: Finance,53726,43.073051,-89.40123,pepperoni,dog,No,night owl,Maybe
+LEC001,18,Data Science,53706,43.038902,-87.906471,pineapple,dog,No,night owl,Maybe
+LEC001,24,Engineering: Other,53718,46.77954,-90.78511,pineapple,dog,Yes,night owl,No
+LEC001,18,Statistics,53706,22.57,88.36,pineapple,dog,Yes,night owl,Maybe
+LEC004,20,Computer Science,53715,35.016956,-224.24911,pepperoni,dog,No,night owl,Yes
+LEC001,20,Science: Biology/Life,53715,47.606209,-122.332069,none (just cheese),dog,Yes,night owl,Maybe
+LEC004,18,Engineering: Industrial,53706,21.28482,-157.83245,pineapple,dog,No,night owl,Yes
+LEC001,20,Engineering: Biomedical,53715,40.63,14.6,none (just cheese),dog,No,early bird,Maybe
+LEC004,20,Legal Studies,53703,20.798363,-156.331924,green pepper,dog,No,early bird,No
+LEC002,18,Computer Science,53706,32.060253,118.796875,sausage,dog,Yes,early bird,Maybe
+LEC002,18,Journalism,53706,31,103,none (just cheese),cat,No,night owl,Yes
+LEC004,,Computer Science,53706,147,32.5,pineapple,cat,No,early bird,Maybe
+LEC004,18,Engineering: Biomedical,53701,43.038902,-87.906471,pepperoni,dog,No,night owl,No
+LEC004,18,Engineering: Mechanical,20815,39.640259,-106.370872,sausage,dog,No,night owl,No
+LEC004,19,Engineering: Mechanical,53715,41,12,pepperoni,dog,No,no preference,Maybe
+LEC004,20,Journalism: Strategic Comm./Advertising,53703,43.073051,-89.40123,Other,dog,Yes,night owl,Yes
+LEC004,,Engineering: Mechanical,53715,43,-87.9,pepperoni,cat,Yes,early bird,Maybe
+LEC004,19,Engineering: Biomedical,53706,32.715736,117.161087,pepperoni,dog,Yes,no preference,Yes
+LEC004,18,Data Science,53706,43.073051,-89.40123,pepperoni,dog,No,night owl,Yes
+LEC004,18,History,53706,42.19381,-73.362877,none (just cheese),cat,Yes,night owl,Yes
+LEC002,19,Engineering: Mechanical,53703,39.290386,-76.61219,mushroom,dog,No,no preference,No
+LEC002,19,Engineering: Mechanical,53726,40.416775,-3.70379,macaroni/pasta,dog,No,early bird,Maybe
+LEC005,19,Engineering: Mechanical,53726,46.870899,-89.313789,sausage,dog,Yes,night owl,Maybe
+LEC004,19,Science: Biology/Life,53151,41.878113,-87.629799,sausage,dog,No,night owl,Yes
+LEC005,18,Data Science,53711,35.1796,129.0756,pepperoni,cat,Yes,night owl,Yes
+LEC004,18,Data Science,53706,37.568291,126.99778,pepperoni,dog,No,no preference,Maybe
+LEC005,17,Statistics,53706,31.23,121.47,sausage,cat,No,night owl,Maybe
+LEC003,19,Undecided,53715,43.041069,-87.909416,mushroom,dog,No,no preference,Maybe
+LEC005,19,Economics,53703,47.606209,-122.332069,pineapple,neither,No,no preference,Maybe
+LEC005,21,Science: Biology/Life,53726,40.76078,-111.891045,mushroom,dog,No,no preference,Yes
+LEC003,19,Engineering: Mechanical,53706,43,-88.27,Other,dog,No,night owl,Yes
+LEC003,20,Business: Other|Accounting,53726,43,-89,pepperoni,dog,Yes,early bird,Yes
+LEC005,18,Engineering: Other,53706,64.147209,-21.9424,pepperoni,dog,No,night owl,Yes
+LEC003,18,Data Science,53562,42.66544,21.165319,pepperoni,dog,No,night owl,Yes
+LEC005,22,Data Science,53711,39.738449,-104.984848,none (just cheese),dog,No,night owl,Yes
+LEC003,18,Engineering: Mechanical,53706,33.748997,-84.387985,mushroom,dog,No,night owl,Yes
+LEC004,19,Engineering: Mechanical,53717,41.2224,86.413,Other,dog,Yes,early bird,Maybe
+LEC003,19,Business: Actuarial,53706,39.299236,-76.609383,pineapple,dog,Yes,night owl,No
+LEC001,,Engineering: Mechanical,53703,32.776665,-96.796989,sausage,dog,No,night owl,Maybe
+LEC004,19,Engineering: Biomedical,53703,41.878113,-87.629799,pepperoni,dog,Yes,no preference,Yes
+LEC004,26,Master of Public Affairs,53715,48.118145,-123.43074,basil/spinach,dog,Yes,early bird,Yes
+LEC004,19,Engineering: Mechanical,53703,-12.12168,-45.013481,basil/spinach,dog,No,night owl,Yes
+LEC004,18,Data Science,53706,31.230391,121.473701,sausage,cat,No,night owl,No
+LEC005,21,Engineering: Industrial,53715,1.352083,103.819839,none (just cheese),neither,No,night owl,Yes
+LEC004,19,Engineering: Mechanical,53703,40.712776,-74.005974,sausage,dog,No,early bird,No
+LEC004,19,Engineering: Mechanical,53715,37.98381,23.727539,basil/spinach,dog,Yes,early bird,No
+LEC005,20,Business: Actuarial,53703,45.003288,-90.329788,sausage,dog,No,early bird,Maybe
+LEC005,20,Engineering: Mechanical,53703,43.073051,-89.40123,pepperoni,dog,Yes,early bird,No
+LEC001,21,Economics,53703,41.902782,12.496365,basil/spinach,dog,No,no preference,No
+LEC004,18,Engineering: Biomedical,53706,45.4894,93.2476,mushroom,cat,No,night owl,No
+LEC005,19,Data Science,53703,43.2708,89.7221,sausage,dog,Yes,night owl,No
+LEC003,,Engineering: Mechanical,53706,45.87128,-89.711632,pepperoni,neither,Yes,no preference,Yes
+LEC004,19,Engineering: Mechanical,53715,42.360081,-71.058884,pepperoni,dog,Yes,night owl,Maybe
+LEC004,18,Engineering: Mechanical,53706,45.056389,-92.960793,pepperoni,dog,No,night owl,Yes
+LEC003,,Computer Science,53703,43.07,-89.4,pepperoni,dog,Yes,no preference,Maybe
+LEC001,20,Business: Finance,53703,22.20315,-159.495651,Other,dog,Yes,no preference,No
+LEC005,19,Engineering: Mechanical,53703,44.74931,-92.80088,pineapple,dog,No,early bird,No
+LEC004,21,Business: Actuarial,53726,38.874341,-77.032013,pepperoni,dog,No,no preference,Yes
+LEC005,19,Engineering: Mechanical,53703,18.34791,-64.71424,basil/spinach,dog,No,night owl,No
+LEC004,18,Engineering: Mechanical,53703,27.5041,82.7145,sausage,dog,No,night owl,Maybe
+LEC005,19,Engineering: Biomedical,53706,36.462,25.375465,basil/spinach,dog,No,night owl,No
+LEC004,27,Environment & Resources,53703,37.389091,-5.984459,mushroom,dog,No,night owl,Maybe
+LEC004,19,Business: Actuarial,53726,32,-117,pepperoni,neither,Yes,night owl,Yes
+LEC005,20,Science: Physics,53703,46.2833,-89.73,pepperoni,dog,No,early bird,Maybe
+LEC003,19,Engineering: Industrial,53703,40.712776,-74.005974,basil/spinach,dog,Yes,night owl,No
+LEC003,18,Data Science,53706,40.712776,-74.005974,Other,dog,Yes,early bird,No
+LEC005,,Data Science,53703,43.073051,-89.40123,pepperoni,dog,No,night owl,No
+LEC004,21,Business: Actuarial,53703,39.19067,-106.819199,macaroni/pasta,cat,No,no preference,Maybe
+LEC006,18,Engineering: Industrial,53706,37.743042,-122.415642,green pepper,dog,Yes,no preference,No
+LEC003,20,Economics,53703,22.54,114.05,pineapple,dog,No,night owl,Yes
+LEC006,18,Data Science,53706,59.93428,30.335098,pineapple,dog,Yes,night owl,Maybe
+LEC004,19,Engineering: Mechanical,53715,45.10994,-87.209793,pepperoni,dog,Yes,early bird,No
+LEC002,20,Science: Biology/Life,53703,51.507351,-0.127758,pepperoni,dog,Yes,no preference,Yes
+LEC004,18,Environmental Studies,53703,42.360081,-71.058884,pineapple,cat,No,no preference,Maybe
+LEC004,19,Engineering: Mechanical,53715,45,-87,sausage,cat,Yes,no preference,Maybe
+LEC004,19,Engineering: Mechanical,53703,48.137,11.575,pepperoni,dog,Yes,night owl,Maybe
+LEC004,20,Engineering: Industrial,53711,48.856613,2.352222,sausage,cat,No,no preference,No
+LEC004,18,Science: Other,53706,48.410648,-114.338188,none (just cheese),dog,No,no preference,Maybe
+LEC004,18,Mathematics/AMEP,53706,24.585445,73.712479,pineapple,dog,Yes,night owl,Maybe
+LEC003,18,Data Science,53706,36.974117,-122.030792,pepperoni,cat,Yes,night owl,Yes
+LEC004,19,Computer Science,53715,40.79254,-98.70807,pepperoni,dog,Yes,night owl,No
+LEC005,19,Engineering: Mechanical,53711,30.572815,104.066803,pineapple,dog,No,night owl,Yes
+LEC001,21,Science: Chemistry,53715,3.139003,101.686852,pepperoni,neither,No,no preference,Maybe
+LEC006,18,Data Science,53706,40.46,-90.67,sausage,dog,No,night owl,No
+LEC004,20,Science: Other|Environmental Science,53715,43.073051,-89.40123,sausage,dog,No,night owl,Yes
+LEC004,20,Engineering: Biomedical,53715,30.328227,-86.136975,pepperoni,dog,Yes,no preference,Maybe
+LEC004,21,Science: Biology/Life,53703,41.385063,2.173404,macaroni/pasta,dog,No,night owl,Yes
+LEC003,18,Mathematics/AMEP,53706,42.99571,-90,sausage,dog,Yes,night owl,Yes
+LEC004,19,Engineering: Mechanical,53703,41.385063,2.173404,sausage,dog,Yes,night owl,Yes
+LEC001,,Engineering: Industrial,53706,40.7128,74.006,pepperoni,dog,No,early bird,Yes
+LEC005,18,Psychology,53706,9.167414,77.876747,mushroom,cat,No,early bird,No
+LEC003,19,Engineering: Industrial,53715,24.713552,46.675297,basil/spinach,neither,Yes,early bird,Maybe
+LEC001,18,Undecided,53706,44.8341,87.377,basil/spinach,dog,No,no preference,Yes
+LEC003,19,Engineering: Mechanical,53705,46.589146,-112.039108,none (just cheese),cat,No,night owl,Yes
+LEC001,20,Economics,53703,39.631506,118.143239,pineapple,dog,No,night owl,Maybe
\ No newline at end of file