diff --git a/f22/meena_lec_notes/lec-39/cs220_survey_data.csv b/f22/meena_lec_notes/lec-39/cs220_survey_data.csv
index efb10cc377003b4daf25c8d582b5acd5fbca9a39..abfd53ba7dfcd37e19c7d2b5ef5b4951d59cfa99 100644
--- a/f22/meena_lec_notes/lec-39/cs220_survey_data.csv
+++ b/f22/meena_lec_notes/lec-39/cs220_survey_data.csv
@@ -1,721 +1,993 @@
-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
diff --git a/f22/meena_lec_notes/lec-39/cs220_survey_data.db b/f22/meena_lec_notes/lec-39/cs220_survey_data.db
index 1b5e27cfdfe58e371dcc634269f93b9294b1a81d..3f525e604543e96b8856e91da84d64dcaf48ef1b 100644
Binary files a/f22/meena_lec_notes/lec-39/cs220_survey_data.db and b/f22/meena_lec_notes/lec-39/cs220_survey_data.db differ
diff --git a/f22/meena_lec_notes/lec-39/lec_39_plotting4.ipynb b/f22/meena_lec_notes/lec-39/lec_39_plotting4.ipynb
index 22b23511d3ede017996dd3b322c84dc8e09f1e97..4a588103a43acc984fc7c87a76efedb227b9d1c5 100644
--- a/f22/meena_lec_notes/lec-39/lec_39_plotting4.ipynb
+++ b/f22/meena_lec_notes/lec-39/lec_39_plotting4.ipynb
@@ -4,39 +4,6 @@
    "cell_type": "code",
    "execution_count": 1,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<style>em { color: red; }</style> <style>.container { width:100% !important; }</style>"
-      ],
-      "text/plain": [
-       "<IPython.core.display.HTML object>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# ignore this cell (it's just to make certain text red later, but you don't need to understand it).\n",
-    "from IPython.core.display import display, HTML\n",
-    "display(HTML('<style>em { color: red; }</style> <style>.container { width:100% !important; }</style>'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib inline"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
    "outputs": [],
    "source": [
     "# import statements\n",
@@ -74,7 +41,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [
     {
@@ -286,7 +253,7 @@
        "[5 rows x 25 columns]"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 2,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -299,7 +266,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
@@ -314,7 +281,7 @@
        "      dtype='object')"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 3,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -333,7 +300,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -354,7 +321,7 @@
        "Name: nozzle_color, dtype: int64"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 4,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -367,7 +334,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -382,7 +349,7 @@
        "Name: nozzle_color, dtype: int64"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -396,7 +363,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -405,13 +372,13 @@
        "Text(0.5, 0, 'Fire hydrant count')"
       ]
      },
-     "execution_count": 8,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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tXFcP2KeXth8NbAn8e99vEyQdJKlHUg/P9GcNMzPrj+G6BrXK0QmApI2oDE6QtHpELC9efrWYGuYDu0fEsprN/RH4ek35rZXXNwIH1tSrOyojIi6TdDkwVdKv6upU6k8DpkFxJwkzM2uJ4QqohcASVr12tBDYofj5IOBTleVnAj8mHX29lRRAZ0t6W82ghccioqcfbVncz3plXyUduR0I3DXAdc3MrAWGJaAiYnnxnaK3S1qjcR2qOFLqAZC0Z82qD5XC5KriOtGxwAeA3wxHW+tExLWSZpCGxn+6Xfs1M7MVhnMgwLeAicA3h7CNbwIPAsfWDWoYZscAGwGHtnm/ZmbGMH4PqriWcxRwsqStgbOA+0in714L7Ac8DfR63SYinpV0IvAD0tDv35YWT5S0Y81qD0fE/NLrdXqptygi7miy75sknU0ajGFmZm02rHeSiIhvSboaOAw4EVifdG3qDuDXwOkR8Xwfm/kv4EvAMZLOLV2LmlxMVT8EPlN6vTUwu6beBUDdacayrwMfZJj7yczMVuXnQbWQnwdlZjZwfh6UmZmNKA4oMzPLkq+ttND2m2xPz7ED/cqVmZnV8RGUmZllyQFlZmZZckCZmVmWHFBmZpYlB5SZmWXJAWVmZllyQJmZWZYcUGZmliUHlJmZZckBZWZmWXJAmZlZlhxQZmaWJQeUmZllyQFlZmZZckCZmVmWHFBmZpYlB5SZmWXJT9RtoblzQep0K8zM2itieLbrIygzM8uSA8rMzLLkgDIzsyxlGVCSpkiK0vS8pL9LOkfS62rqbdHLdqYWy1e51iapq1h2YKlsemW/5em8YXmzZmZWK/dBEvsCDwDjgFcDXwMuk/SGiHhimPa5ANi7pvyxYdqfmZnVyD2gboiIu4ufr5b0IHAp8Cbgj8O0z+ciYs4wbdvMzPopy1N8TTxZzFfvaCvMzGzY5X4ENa64fjQO2Bw4EfgHMHM4d1p3zQp4PmK4RvubmVlV7kdQtwPLgCXArcDrgT0j4smmaw3Ny4t9Vqcj6ipLOkhSj6SedPnKzMxaIfcjqPeRBkkI2AT4DHChpEkRcdsw7fMfwLtryv9WVzkipgHTAKRuH2GZmbVI7gF1c2mQBJIuIQXFVOBD/Vh/eTEfV/qZUhk15csiomfgTTUzs1bK/RTfSiLiWeBeYOt+rvKPYr5JzbJG2SNDbZeZmbXeiAooSS8mfR+qvxd7ZhbzfWqW7UO6tuUh5WZmGcr9FN+2kiaSrkFtTLoGtR7wfyr19pD0cKXsiYi4VNJPgJMkbQD8mfSe3wUcDBwXEYsq660haceatjwTEfOG+H7MzKyfcg+o35R+XgDcDOwRERdX6lUDC+AWYCtSEN0OTAE+B7xAGhH4qYj4ac166wOzm2zPzMzaQP5qT+ukUXweX2FmY8tQY0TS3IjorpaPqGtQZmY2duR+im9E2X576PEBlJlZS/gIyszMsuSAMjOzLDmgzMwsSw4oMzPLkgPKzMyy5IAyM7MsOaDMzCxLDigzM8uSb3XUQpKeAu7odDvGiInAwk43YoxwX7fPWO3rV0XE+tVC30mite6ou5+UtZ6kHvd1e7iv28d9vTKf4jMzsyw5oMzMLEsOqNaa1ukGjCHu6/ZxX7eP+7rEgyTMzCxLPoIyM7MsOaDMzCxLDqghkrSppP+W9ISkJyWdK+mVnW5XjiR9QNJvJd0v6VlJd0g6SdI6lXoTJP1E0kJJT0v6k6Q31mzvRZJOkfRQsb3ZkibV1FtN0lckzZe0RNKNkvYZzveaG0kXSQpJJ1TK3dctIuldkmZJWlx8FvRIektpuft6oCLC0yAn4MXAXcDNwHuB9wA3AfcAa3e6fblNwBzgHOAjwK7A4cDjRflqRR0BVwIPAB8G9gCuIH158RWV7f2yWP9TwFuBc4FngW0r9f4TWAp8EdgdOAN4AXhXp/ukTf3+YeAhIIATSuXu69b18cHAMuC7wNuBycCRwJ7u6yH0a6cbMJIn4DDgeWCLUtlmwHLgC51uX24TsH5N2ceKD863FK/fU7zevVTnX4DHgO+XyrYp6n2iVDaedCePGaWyDYo/4uMq+70MmNfpPmlDn68LPFx8KFYDyn3dmj7uKgLk8CZ13NeDmHyKb2j2BuZExN2Ngoi4D7ia9A/SSiJiQU3xdcX85cV8b+DBiPhzab0ngN+zcp/uTfof669L9ZYDZwOTJa1ZFE8G1gB+UdnvL4A3StpscO9mxPgWcEtE/Kpmmfu6NQ4gHbmc3qSO+3oQHFBD8wbS6b2qW4At29yWkWrXYn5bMW/Wp6+U9JJSvfsi4pmaemsAW5TqLQXurqkHo/j3JOnNpCPUQ3qp4r5ujTcDtwP7SbpH0nJJd0s6tFTHfT0IDqihWQ9YVFP+GDChzW0ZcSS9HDge+FNE9BTFzfoUVvRrX/XWK80fj+L8R5N6o4qk1UnXJL4dEb3dwNh93RqbAK8BTgFOBt4BXAr8QNJhRR339SD4ZrFDV/dNZ7W9FSNM8T/G80nX6z5RXkT/+rTV9UabI4G1SBfSe+O+bo3VgHWAKRFxblF2uaQu4CuSvo/7elB8BDU0i6j/n8oE6v8XZKRhtMAMYHNgckQ8UFr8GL33Kazo177qPVaaT5BU/cOt1hs1iq85HA18DVhT0rqS1i0WN16Pw33dKo8W80sr5ZcAGwIb474eFAfU0NxCOhdctSVwa5vbMiIUp55+C/wbaTjsTZUqzfr0rxGxuFRvM0kvrqn3HCvOzd8CrAm8uqYejM7f0+bAi0gXzBeVJkhDkhcBb8R93Sq39FLeCI8XcF8PigNqaGYAO0ravFFQHNbvXCyzEkmrkb7j8VbgPRExp6baDODlknYtrfdSYC9W7tMZwOrAvqV644EPAZdExNKi+CLSH/ZHKvv5d+DmYtTlaHMD6Xsx1QlSaO1O+qBzX7fG74r55Er5ZOCBiHgY9/XgdHqc+0iegLVJf+g3kYaK7g3cCNwLvKTT7cttAn5M8V0cYMfK9IqizmrANcDfgP1If+QzSacsNq1s72zS0cCBpND7b2AJsF2l3slF+ReA3Yp2vADs1ek+aXP/V78H5b5uTb8KuJx0qu/TpEES04r+nuK+HkLfdroBI30CXkk6ZfUk8BRwHtDV6XblOAHziz/aumlqqd56wJnFH+8zpC8fblOzvbWAU0lfRF0CXAvsVlNvHHAMcD9paO484AOd7o8O9P9KAeW+bmnfvhT4IfAI6chmHrC/+3pokx+3YWZmWfI1KDMzy5IDyszMsuSAMjOzLDmgzMwsSw4oMzPLkgPKzMyy5ICyEU/SlOJx5nXT20rLu4a5HVOL/QzrTZiLfUwdzn002fcUSQd0Yt+tJGnb4vc1Ku76PVr5buY2muxLeqR22a2ku3vsRHrsuQ3NFNLnxpkdbsdQbQscS7r106i4sepo5ICy0eSGKD3duKLuab7/VNwVevWIeK71zWo/SWvGivu2mY1IPsVno17dKT5J8yX9QtIBkm4n3Z7m3cWybSTNkLRI0rOSrpa0ywB2uZmkCyQtlnS/pK8XN8pF0kaSnis9yK7czqmSnpE0oXg9TtIJkh4qymdKWuWO2KVTi1tJuljSYuCcYtk7JF1Y2sbNko4oHrdR3kajP/aTdJukpyX1FE/lbdSZSXoC8s6lU6gzm3WEpPUl/UjS3yQtLeb/VyseXY6kPSTNLvr6CUnnSXpdTfum12x/pdOdpb54TZPfwRTgZ8Uqd5XeS1ez92Lt54Cy0WScpPGlaVwf9Xcn3WjzOGAPYJ6k7Ug39VwP+BSwD+kmoH+StH0/2/E70s1D30u6N+NxwMcBIt3Z+jzg4PIKRVs/CZwTEY1HY0wFvkq6A/x7Sc8XanaX/POBK0g3Lf5uUbY56Z5vB5AC+OfFduseZLgLcATpOVIfIt3r7Q9a8SypQ4C/kO75tlMx9fY4eYqgvabY1qnAu4Avk+7WvUZRZw/gAmBxUe8/gK2Aq5SeuDxYvf4Oiv2dUPy8b+m9+BRwbjp9M0BPnoY6ka6L1N2A9qrK8q7SOvNJN+zcqLKty4DbgDVKZeOKsvP6aMfUYj+fqJTfRHpUQuP1bkW9XUplexdlOxavJ5A+tE+vbOtIVr25bmO/h/XRPpFO6x9Nulv2apX+WARMKJV1F9vdv1Q2s9Gv/fi9HA88D/yvJnV6gLuA8aWyzYBlwKmV9k2vWb+3vujrd9D4N7FFp//9eup98hGUjSbvA3YoTZ/so/6cSEc0AEhai3QK6zfAC40jMdIH+5+ASf1sxwWV1zeT7noPQETMJA3eKB9FHQzMixXPyHoj6XEu51S2dXaT/f6uWiBpY0lnSLqfdBpzGenoYV1gg0r12bHi6A3Shzrltg/QO4DrIuIvdQslrQ1sB/w6IpY3yiM9y+hq0u9isJr+Dmxk8CAJG01ujt4HSdSpntJZj3S09LViWoWk1SLihT62Wx0VtpT0hNuyHwPfLq5FvYR0ivEzpeUbF/NHKutVX5et9H6Kay4zgE1IRxa3A8+STnsdXdOmldodEUvT2JFV6vXXy0gjKHszgRT+dafWHgZeNcj9Qv9+B5Y5B5SNZdVnzTxOeuDbD4GzalfoO5z66yzgJNKppgmk4PhlaXnjQ3tDVn6k+IZNtll9P68mnab7aET8olEoaa/BNXnAFgLNriMtIrV5o5plG5Gu/TUsobhu1eDvMI1+PsVnVoiIp4ErgW2A6yOipzq1cF9PkgLpYNIAhv9XlDXMA54GPlhZdb8B7ObFxXxZo0DS6qz6mPCBWEp6oF5/XAL8m6Rt6hYW/T0X2Lc8oEXSq4A3kQZ8NNxPGjxRtmd/G12jMQS/v+/FOsBHUGYr+wIwC7hY0k9JRzITSddKxkXEUS3c149YcR3q9PKCiHhc0neBoyU9Rfqw7891tbLbSB/s/ynpeVJQfX6Ibb4VOETSh4B7gKci4o5e6n4X2J80AvIE0jWticB7gE9HxFOkU6kXkEYL/oh0uvM44AngO6VtnQ2cWfTJH0j/iZgyxPcBcKikn5P6Zl6Mku/BjRY+gjIriYjrSUHwKPB9UjB8jzRoYVaL9zUPuBPoKfZbNRU4Efgo6VrSO4B+n54rPmzfS7qecxbp1OUs4OQhNPubpJGOPwGuA85osv/HgZ1JgzeOAi4ihc5y0oANIuIi0vD3dUkDQk4nBeubI+LB0uZ+Trrzw/uB3wOTSYNiBiUibiT1717AVcV72WSw27Ph4Ue+m3WIpNeSBi58KiJ+2un2mOXGAWXWZpJeAWxBOpW1Bem7OM92tlVm+fEpPrP2O5B0l4MNSV+CdTiZ1fARlJmZZclHUGZmliUHlJmZZckBZWZmWXJAmZlZlhxQZmaWpf8PRzUSmE49d8gAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -438,7 +405,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -496,7 +463,7 @@
        "Name: Style, dtype: int64"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -509,7 +476,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -518,13 +485,13 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 10,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -541,7 +508,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -554,7 +521,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -563,13 +530,13 @@
        "Text(0.5, 0, 'Hydrant Type')"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 10,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -597,7 +564,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
@@ -617,7 +584,7 @@
        "Name: Style, Length: 10109, dtype: object"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 11,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -635,7 +602,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -650,7 +617,7 @@
        "      dtype='object')"
       ]
      },
-     "execution_count": 14,
+     "execution_count": 12,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -668,7 +635,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -688,7 +655,7 @@
        "Name: year_manufactured, Length: 3458, dtype: float64"
       ]
      },
-     "execution_count": 15,
+     "execution_count": 13,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -705,7 +672,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
@@ -725,7 +692,7 @@
        "Name: year_manufactured, Length: 6651, dtype: float64"
       ]
      },
-     "execution_count": 16,
+     "execution_count": 14,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -745,7 +712,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
@@ -765,7 +732,7 @@
        "Name: year_manufactured, Length: 3458, dtype: float64"
       ]
      },
-     "execution_count": 17,
+     "execution_count": 15,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -788,21 +755,27 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "2000    1730\n",
-       "1990     846\n",
-       "2010     503\n",
-       "1980      21\n",
-       "1960       1\n",
-       "Name: year_manufactured, dtype: int64"
+       "0        1990\n",
+       "1        1990\n",
+       "2        1990\n",
+       "3        1990\n",
+       "4        1990\n",
+       "         ... \n",
+       "10046    2010\n",
+       "10050    2010\n",
+       "10051    2010\n",
+       "10052    2010\n",
+       "10053    2010\n",
+       "Name: year_manufactured, Length: 3101, dtype: int64"
       ]
      },
-     "execution_count": 18,
+     "execution_count": 16,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -810,7 +783,7 @@
    "source": [
     "# Drop the NaN values, convert to int, and do value counts\n",
     "pacer_decades = pacer_decades.dropna()\n",
-    "pacer_decades = pacer_decades.astype(int).value_counts()\n",
+    "pacer_decades = pacer_decades.astype(int)\n",
     "pacer_decades"
    ]
   },
@@ -823,21 +796,21 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/plain": [
-       "1730    1\n",
-       "846     1\n",
-       "503     1\n",
-       "21      1\n",
-       "1       1\n",
+       "2000    1730\n",
+       "1990     846\n",
+       "2010     503\n",
+       "1980      21\n",
+       "1960       1\n",
        "Name: year_manufactured, dtype: int64"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 17,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -856,7 +829,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -875,7 +848,7 @@
        "Name: year_manufactured, dtype: int64"
       ]
      },
-     "execution_count": 20,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -896,7 +869,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -926,104 +899,74 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th>1</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>21</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>503</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>846</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>1730</th>\n",
-       "      <td>1.0</td>\n",
-       "      <td>NaN</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
        "      <th>1900</th>\n",
        "      <td>NaN</td>\n",
-       "      <td>1.0</td>\n",
+       "      <td>1</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1930</th>\n",
        "      <td>NaN</td>\n",
-       "      <td>9.0</td>\n",
+       "      <td>9</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1940</th>\n",
        "      <td>NaN</td>\n",
-       "      <td>68.0</td>\n",
+       "      <td>68</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1950</th>\n",
        "      <td>NaN</td>\n",
-       "      <td>371.0</td>\n",
+       "      <td>371</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1960</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>349.0</td>\n",
+       "      <td>1.0</td>\n",
+       "      <td>349</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1970</th>\n",
        "      <td>NaN</td>\n",
-       "      <td>578.0</td>\n",
+       "      <td>578</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1980</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>937.0</td>\n",
+       "      <td>21.0</td>\n",
+       "      <td>937</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>1990</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>431.0</td>\n",
+       "      <td>846.0</td>\n",
+       "      <td>431</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2000</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>215.0</td>\n",
+       "      <td>1730.0</td>\n",
+       "      <td>215</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2010</th>\n",
-       "      <td>NaN</td>\n",
-       "      <td>1196.0</td>\n",
+       "      <td>503.0</td>\n",
+       "      <td>1196</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "      pacer   other\n",
-       "1       1.0     NaN\n",
-       "21      1.0     NaN\n",
-       "503     1.0     NaN\n",
-       "846     1.0     NaN\n",
-       "1730    1.0     NaN\n",
-       "1900    NaN     1.0\n",
-       "1930    NaN     9.0\n",
-       "1940    NaN    68.0\n",
-       "1950    NaN   371.0\n",
-       "1960    NaN   349.0\n",
-       "1970    NaN   578.0\n",
-       "1980    NaN   937.0\n",
-       "1990    NaN   431.0\n",
-       "2000    NaN   215.0\n",
-       "2010    NaN  1196.0"
+       "       pacer  other\n",
+       "1900     NaN      1\n",
+       "1930     NaN      9\n",
+       "1940     NaN     68\n",
+       "1950     NaN    371\n",
+       "1960     1.0    349\n",
+       "1970     NaN    578\n",
+       "1980    21.0    937\n",
+       "1990   846.0    431\n",
+       "2000  1730.0    215\n",
+       "2010   503.0   1196"
       ]
      },
-     "execution_count": 21,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1038,7 +981,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
@@ -1047,13 +990,13 @@
        "Text(0, 0.5, 'Hydrant Count')"
       ]
      },
-     "execution_count": 22,
+     "execution_count": 20,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1081,7 +1024,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
@@ -1090,13 +1033,13 @@
        "Text(0, 0.5, 'Hydrant Count')"
       ]
      },
-     "execution_count": 23,
+     "execution_count": 21,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1123,12 +1066,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1169,7 +1112,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
@@ -1188,7 +1131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
@@ -1207,7 +1150,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 27,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1219,7 +1162,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -1238,7 +1181,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 29,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -1257,7 +1200,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 30,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
@@ -1266,7 +1209,7 @@
        "1.0"
       ]
      },
-     "execution_count": 30,
+     "execution_count": 28,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1295,7 +1238,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 31,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
@@ -1304,13 +1247,13 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 31,
+     "execution_count": 29,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1328,7 +1271,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 32,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
@@ -1337,13 +1280,13 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 32,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1368,7 +1311,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 33,
+   "execution_count": 31,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1392,7 +1335,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 32,
    "metadata": {},
    "outputs": [
     {
@@ -1401,13 +1344,13 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 32,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1432,7 +1375,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 35,
+   "execution_count": 33,
    "metadata": {},
    "outputs": [
     {
@@ -1441,13 +1384,13 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 35,
+     "execution_count": 33,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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fDUjaCpgQESdKWhW4EHhHfvoeYGpE3FRZgcOQ9AbSncurgeuB+4FVSbfFjwGbRsQdlRU4hLzL3Z6k98rzwAYR8bv83CeBvSJigwpLHNIwQxVrP8RV0trAayNiZu4DO4r5f34/ExEPV1ljvyg2BBZFeXTB2qQfhNsi4rmKSxqWpNWAg4F/ITVfPUJqZjk2Iu6vsrahSHqMFLIzJD0E7B0RF+TnpgAXRsQyVdY4lG6Guy5io6GsA4eA2ShImg18JyLOlHQ58ATwwfz0T4CNI2Ltygq02sjNm13r9SS9kvsEGldDu5E68/pidEdeuuDGiHiym2UM6rx0QW4OWq3dFWf+u91f1+YgUtPbFsCZpP6B6aQgeAF4JfDZyipbRHXoVO2kTjP+59DdTPMGzxjuBUkHACcADwN30GYkSkRs2eu6hpPbcjeMiBuGWcagH9p1LwJujYgvtHnuW8CkiNi+95WNnKT1SZOvlgZ+ExEXV1zSAvIdy6ci4vb8/VBqdxHUph+jeaZ/6/HazBiWtBcjCIGI+Mn4VbOgku8EDiZdxe0dEf9bdTEjsCVwa9P3/Wwy8P86PHcVqeO1L0TE70mjteqs+QNzMYb+YGr34VqpiHhp1WNJk0gjgE4iDXf9O7AK6c5+P9IyDLUQET+uuoahlHwn8BSwQ0RcVnUtpcrDWae2u2rOS0qcHxELLAxmlu9kLo6IBZZGkfQl4D11u5Opq5LvBGaTZtw6BKpzF/Bu0pj1VlNIbam1JOluOl9Jv0iayDcb+H5E3NyzwsqxAakvpp3fAV/pYS0jkldt3Y3OM8336WU9JYfAZ4EzJP25zp2nrbpoy21Wu3bdFqeRJovNBU6JiGclLQXsS1oc79AKaxvODFJz3GuAaxlsjtiENJv1HtKM3D0kvTsirq2q0KFIWp4047ndUsx1/rl4HNiK9jOet87P146kiaQ5MYsDywAPkYZGL05aR6vndZccAheSliy4QtLTpP+AZhER7ZZ9rVprW+5E0gSrOQx+EA2QJl7VfW2YbwPvJK1x9D1Jj5B+IBYDfkFaHbWuZgJvJ00Se6BxMM97+C3wa9Js4stIC51tVUWRnUh6OXAqsCud2/9r0bHawanAl/I+FGcz+N7fFdifzncJVTsauAH4APAUaT+Tm4CPkd4nO/a6oJJD4DJGNmyrFiJii8b3kj5AWhN+w4i4oen4BsBZ+bnaiogXgJ3z5KqtSIv6PURq672yytq68EXgy80BABAR90v6BnBkRJws6Xt07vyu0ldJQ1z3JC278GnSell7kRZn+1xVhXXpa6Sf34OAT+RjIn2wHkl97yLfSaq3MRpxsYh4Hjg1r2LwXXo84KPYjuFFQV5K+uh2OyjlYWkHR8Rbel5YAXKn9q4RcWGb53YAzoqIV+T5Dr+NiFf0vMghSLqd9IFzMk3LkOfnziatsFv3IGhsLvMWUnDdD9wUEbVsCgKQ9A/gfXm5i0eB3SLiN/m5KcAFEfHKXtbkjeb727qkjXDaeZAar6a4CLgNODj3YbwkN7N8IT8P8FpSU0XdrAncku/GniO1TzecSlqHp/Yi4rGImBkRP89faxsA2RxS8y2k5tpdmp7bnrRmVk8V1RyUN3meHhEP13HD51G4m7S15K/bPHcANRxdI+kFYKMuJrtB6pep63v030krWM7Nk94eJHUSv4+0xPH78nkb0370U9UeJs1sBriXtLfDzPx4JfLeFHXXhx3bl5CaPs8GjgF+JmlT0iKEbyStJNpTRTUHtZltO5Raz7YFkPRh0s5Kt5F2SGt0ju1MekPtHhFnVVfhgiQdApwcEfdJOpRh+mUi4rCeFDYKecLSV0jDFRvNEdcD34iI24b6vVXLTT6/j4gjJX2T1Jn6LdKH0cHA7IjYrsoah9JNx3Ydf37zneNSEfFEfvx+5l/99OTo8YdyaSGwFmk9mv/tsOHzfKL9fqC1Iuk9pFEFk4GXkW7tfwcc4olw1omkycCaEXFu3lPgx8AOpBFB1wMf7vVCZiORt4D9OPBvdOjYjoh2d8jWoqgQWJTlfXlXAh6Klu0a60rSMhHx1BDPT4iIu3pZ00jlf/dJpJFNs4b6+9Rd61VqnfVrx7akY4DTIuIPVdfS4I7hRUREvBgRD/ZLAGR/yFekC8h9NrVei0fSp0kTw24i7Us9MR8/T1JtVxGVtKSkGyVt3Xw8Ip7thwDI+rVj++PAbEk3S/o3SatXXVCxIZB/EA6RdLukpyW90PLr+apr7IakCZKmSTpe0qktv35UdX3DuB+4RtK/Nw5IWlbST0nNE7XdaF7SfqR5GOexYLv0TNKKorWUF0x8Pan9v1+169huqHPHdmNC253A4cA9ki6VtIekSjYhquvIi144mtSO+GvSXrG13dS8E0lTSaMMFiONTmn9O9S9rW8L0qSfI/JV6fdJt/jLkcbgn1NZZcP7PGlTmS9Kau2AvJ3UVl1nl5CWV6jzPsJDuR5Yn/Tz+wvS8iPLMtixfXWFtXWUA/gXwC/yyKbdgN1JGxGdIOmXEbFHL2sqtk9A0t+A4yOi50OyxkqeLHY/aRRQp/kCtdeYUAUsSWpaeX9E/LXaqoYm6RnSpJ/Lcwi81C4taQvSngK1XQFV0r8APyVdRJxHeh/N92FQ5/6Yfu/YbqW0wdVPSfsm93RUU8l3Aq8Erqu6iIU0gTQruJ8DYDXgENJ78TbgTaTb5WOqrKsLD5HWaGpnIvC33pUyKo3d3D4P/GuHc2o3xLIhImYBs/L3/wB26qeObUgDI0jDuT9Kuit+nnSX0FMlh8CFwGb07+0wpGaHFasuYrTy8gqnAE8Dm5Ou4A4Fvpmbhz4WEQ9WV+GQLgS+JulK0oqhAJHXf/lX0tV1nX286gLGWkQ8S82bdfNosq1JiwtOJfVdXAN8Cvh5FTOei2oOkjSh6eHKpKWMzwAuAh5pPb/Ot8MAkt5NakOfWvda28kT9s4G9m9+8+emijOAJSNi1U6/v0qSViQtIf064L9JFxTXkibpPUjaaL7uSxj0NUmvIs3M7rRHeF32GH6JpAdInz13kpp/To+IOZXWVFgItC5T0BjR0fqPUPv9eQEkzQTWJt0N3MGCQRYRsXnPC+uSpH0iou0IptxpdmJE7NrjsrqW26IPArYhLRnxMGnW57H90iTRryRtQrobW67DKbX8+ZX0Q9I8gf+uupaG0kJgL2q84fNI5aaI4ZZd6Pd9iG2c5M7I3eh8JV3bDYkk/Y7UZ7Ef8Kfor33Ca6W0EFgM2A64Ozps+SfpLcBAuyWCbezlyTIHk5pTViDt+3yzpIOA6+p0xbQokXQAcALp7uUO2rSl1/kCQtKTpGHEF1Vdy0jkkXBD6vXCd6V1DH8UOJ60/ngn/wDOlLR/RPxXb8rqXku/xrDq3Fcg6c2kiVUvkEZqrU8aJgqwFvAu4CPVVDc8SXsy9JX02r2vqmsHA2cCe/fpVfRcYKlhz6qfKxm+NcJDRMfRR4H/jIi7O50QEXMknUracal2IUDqUOrm9k35vNq1izb5DmlY6Dakxb+aP4yupcbbS0r6KmnhvpuBP1DzUSltrE76WejHAID0bz9N0mV91v/S7u5qRdJeApsDB/a2nPJC4O2k/WyHcylpFl8dLUpD+zYl7az0ZJtZt39ncPONOtoH+F5EdBpjX3ezSfNM+nWl2e1JSzDcLek62g+K2LP3ZQ0tImZ0eOpcSccC76f9/iDjprQQWJYFN5Rv59F8bu3UvbN6hIZa7G4l4J+9KmQUViSNTulXnwXOkPTnmm6+MpxNSXe6TwBvbvN8P3Z2Tgd+Rpoz0DOlhcBDpLbm4dYVWTOfa+PrBtKdTbsP011Jk2jqagZp0bK+mWwo6V7m/3B8NXCFpKdZ8OIoImLYPTeqEhGvr7qGcTCRoS+MxkVpIXA1qa3/jGHO24uaLkC1iDkcuFTSxaROygDeI+lzwI6kEUN1dRDpFv5hOk82rNuy3pfRn1fIiwy139Z2SWA9UhPjub2tqLwhohuRPty/D3yxtVNM0suAb5NWF900Iq7vfZVlkbQdaUnm5lFPc4BP13lnKA1uT9rpByiivvsjLxLy2jv7kC4WViTNPL9DadvVP0TE7ZUWmEm6C9gxIv6oztvaPgucRdoRraczzYt6k0bEdZIOJo1K2T1fgTbWfVmLtAH0iqRF2RwAPRAR04HpktYhz7qNiD9XXFY3vo6vqisj6XWk4ZZrkNbQWo/BfrwtgfcA+1ZS3IIGGBzO2q4Z65mI+HvvyplfUXcCDXnCxjTSkKzG5hP/JL2pjoqImRWVtsiTNGUk50dE37S59yNJbyW1RS+w7HVEnNb7iroj6eekD/73AveRhhc3lvL+CHBoRLyhyhob8tX/hhFxQ9W1tFPUnUBDHg1xlQb35YV0BfpChWWV4lIGr6DV8lwwOL+hH+Y5ACDplaQ7yPsi4rmq6+mGpOVIo1E2bBzKX5uvCmsbAqS79v0jYm6b4cV/I82DqJPaXm0XGQINueOurksVL8r+Qd5dCejnjdm3JzULNbY2fCdwo6RTgMsj4szKihvekaTg2ow0a3tH4HFgb2Aj4MPVldaVJUnvo3ZeTdrkp04Ok9TNiMOez28oOgSsElsCHyPtwbsL8EvgJ/3W7CPpA6QQuwz4IvCtpqfvJo1Cq3MIbEOaddvo+/prRMwGrpR0AvA50v9TXd1Eeg/9ps1z25Imw9XJ2+huVnnP7xgcAtZTecbkDEmfBj5I2lzjt5LuJw3dPS0ibquyxi4dQlp2YV9JSzB/CNxMjyf8jMJqwF0R8ULeKrN5cuS5pElLdXY0cI4kGAzbSXnf7X1IW03WyQfq2iewWNUFWJki4pmIODMitiVNzvseaYOQmyX9oNrquvIm0pA+WPDq7VHqv+PbAwyuxX8PqQmoYZ2eVzNCEXEuKWh3IfUzQerDOAg4MCLa3SFYG74TsDp4mDQ3YA5pCYDlqyymS08wOKig1QBQ932fryZ98P8KOB04RNIAaZ/bPYELqitteJJeDfwnqfaNGNzU59q857B1ySFglcm7Q+1BuppbCjiftN/DJVXW1aVLgC9J+jWDHZSRNzs/kB4vAjYKhwGvzd8fTbpz+RCwNCkAPlNRXcPKzW8PkyZgXcjgnYCNQpHzBKw6eVLYHqRlvQeAq0i38WdHxJMVljYi+ar5BlJT0EWkTtRzgP9DGp0yOSLuq6zARZykvwH79dumMnXkELCeyhNnniB1Pp7O4Izttmq+Kc4apCvq1j2GvxYR91ZZWyd5X+SNgZcBV+ZlvCcCh5IC7EHguNzmXluSvgmsGxEfrLqWfucQsJ5qWTtl2DdfHTcL71eS3kBqOlmdNDnsAQbXrxdwF7A2qU9mm4iobTOLpE8CXyb9Hc4H7qfl/RQRp1ZQWt9xCFhP5S0Zu9Yv+yfkjsp1gQci4q9V19OOpLNIW3h+ktSPcSRpyYhbgakR8YykpUmdxS9GxHsqK3YYQyzE1hC+gOiOQ8CsS5K2AbaMiGktx/8D+BqDAy3OAj4WEc/3uMQhSforMC0ifpofvwm4hRQAFzadtyNwQkTUdmc3ScPudRARQzY1WuLRQWbd+wQtTQ6StiLti/An4BTS/IEDSDNWv9PrAoexKvCXpseN71s7sO8HVu5JRaPU/AGf1wBredpXt93yZDGz7q1PWnSt2ceBZ0ht6MdFxKeAE4GP9Lq4LiwGNC+S2Pi+9QOzlh+gklaVNL15Y5a8eNxzLb8ek7RKRWX2Hd8JmHXvNcx/JQ1pNcurI+KBpmPTScNg62h1SY0NfBZvOvZY0zlr9Lakrn0KeDuwc8txASeT7mhEmu/wCdLILRuGQ8Cse/8Almk8kLQuaZJV6wZET1DfJbDPaXPsvJbHjWW86+a9wMkR8c+W4wGcGBE3AkiaR5q34RDogkPArHu3A1MZbBKaSvoAurjlvNcDle0UNYSPV13AQppI6oBv1bovxf/kc60LDgGz7h1L2lx+BdKH/F6kDuFrWs7bEfhjb0sbXr8Mtx3Cy4H5ZpXnVVBXA5rX6n+GNjulWXvuGDbrUkScR1ql8p2k5obrgV2aR6LkWcRbkpaSsLH1IDCh9WBE/L1lV8DXU/8F/GrD8wTMrC9I+i9gpYjYapjzLgUeioi6745WC74TMLN+8X1giqRv55VE5yNpCUnHAFuQ9qewLvhOwMz6hqSDSbu4zSMt5z03P7UmabjuSsCXIuLoairsPw4BM+srkrYk7eu8GYMdwM+QliX/Vr/tV101h4CZ9aU8W3hF0hDRh1o6h61LDgEzs4K5Y9jMrGAOATOzgjkEzMwK5hAwMyvY/wce0uf2ExNIsgAAAABJRU5ErkJggg==\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1471,7 +1414,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 36,
+   "execution_count": 34,
    "metadata": {},
    "outputs": [
     {
@@ -1480,13 +1423,13 @@
        "(<Figure size 432x288 with 1 Axes>, <AxesSubplot:>)"
       ]
      },
-     "execution_count": 36,
+     "execution_count": 34,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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w2Ebg/h51TxlcYru47neBhw6vIklaSfoExa3A2Uk2zBckWQ+cM3hvVN1jgZ9dUHc18GZgR1U93WP923vM80JhX3Tsh0Psi0Psi0OWtS9SNWwIYcEM3U119wBPAb9JN+bwAeBfAa+oqicG850MPAxsq6ptC+p/BjgfeC+wG3gn3Y13r6mqv1nOjZEkLb+RRxRV9SSwCXgAuB64gW6Hv2k+JAYCrBqyzLcDnwSuAP4PcCJwgSEhSUeHkUcUkqQXtpk8PdaHDB6y1L5IMpdke5K/T3Iwyd4kNyQ5ZRrtnoRxPheLlvP+JJXki5No5zSM2xdJzkzy2STfGPydfCXJZZNs86SMub84KcmnB38fB5M8kOSKns+pW1GS/GCSTwz2eQcHn/H1PeuOtd+celD4kMFDxuyLt9BdjfZx4A3A+4BXAzuTnDixRk/IMnwu5pezAbgc+Pok2jkN4/ZFkjngr4AXAxcD/xb4L3Snho8q4/TF4P3PA68Dfgv4KeC/A78G/I8JNntSTgXeRHdbwl8cYd3x9ptVNdUXcBnwz8CpC8pOAZ4B3jOi7ivpBtPfvqBsNfAV4NZpb8uM+2LdkLKTgWfpLiiY+fZNqy8WLedzwDXAncAXZ71dM/hcHEN3Wfr/mvV2rIC++MnB/uInF5V/aFD/+Flv3xH2xTELfr54sG3re9Qbe785i1NPPmTwkCX3RVXtG1L2VWAf8APL3M5pGOdzAUCSt9IdVb1/Ii2cnnH64ly6+5Se86nOR5lx+uJFg+nji8q/RReofZ4usWJU1bNLrDr2fnMWQeFDBg8Zpy8Ok+RM4OXA343ZrlkYqy+SrAU+CvxGVR3td/yP0xevHUyPS3J3ku8l+XqSjyd5ybK2cjrG6YvP0/13CB9OsjHJS5NsojtKubq6KzpfCMbeb84iKKb+kMEVbJy++BcGNzJeTXdEcd34TZu6cfviSrpLuD+1jG2alXH64vsH0xuBHcDrgd+lO1Xxh8vVwClacl9U1XfognP+dNy3gduAPwbetbzNXNHG3m/2fSjgcpvqQwZXuOXant8DXgP8VFWNegbXSrWkvkjyY8DPAa+uwQnY54Glfi7mv/z9QVVtHfx8Z5JVwIeSbKyqUY/eWWmW+rk4ji4wX043CL4X+BG6Ad1n6G7+fSEYe785i6AY9yGDwy6LO1ofMjhOX/x/ST5I91j2i6pqxzK1bdrG6Ytr6I6i/jHJywZlq4FVg9+fqn6Pi1kpxumLbw6mf7aofAfdIO6rGP2MtpVknL74Rboxm1Or6uFB2Z8neQzYnuTqqrpn2Vq6co2935zFqScfMnjIOH0BQJLL6S6Nvayqrl/Gtk3bOH1xJvAOuh3H/Osc4OzBz0fbN8dx/0bg8G+Q898elzogOivj9MUPAQcWhMS8vx5MzxyzbUeLsfebswiKWT9kcCUZpy9I8m66R6NcXlWfmFQjp2ScvjhvyOseukHQ84CbJtDeSRqnL/4UeBq4YFH5+YPpsv4/BVMwTl98DVibZPFg7Y8Opv+0XI1c4cbfb87gWuA1dAn2t3SXt22m+6P+B+ClC+Y7me484tZF9T9D9y3xYuDf0O0EvkN3fnrm1zpPqy/obrh7lm7HcPai18ZZb9u0PxdDlncnR+99FOP+jfzHQfnvAD9Bd8T5FPCpWW/bNPsCWE93aewDdDfrnUf3cNLH6QLzmGlvzzL0x88MXr9Pd9T4zsHvPz7iMzHWfnNWG3sS8D8H/2DfBv43i24cGfwjF/CfFpW/hO4a8a8NNvSvgHNn/Q847b6gu7qnnuN156y3a9qfiyHLOmqDYty+oDvN9J7BDva7wFeBbcCxs96uGfTFRuCPgEfowvIB4CPA2llv1xL7ovk3P6n9pg8FlCQ1zeShgJKko4dBIUlqMigkSU0GhSSpyaCQJDUZFJKkJoNCktRkUEiSmv4fm5sJ6rZxjrQAAAAASUVORK5CYII=\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1503,7 +1446,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 37,
+   "execution_count": 35,
    "metadata": {},
    "outputs": [
     {
@@ -1513,13 +1456,13 @@
        " array([<AxesSubplot:>, <AxesSubplot:>], dtype=object))"
       ]
      },
-     "execution_count": 37,
+     "execution_count": 35,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEDCAYAAAArwUMAAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAT50lEQVR4nO3cf4xl5X3f8fcHFkOYTeSh3fzRhl8r0OId1bacTUuDnRCayERNByInduSWErteCFFbR5FdOXKKWkybpo6wFbeNvSPLtogroxBURm3a0Ji166KQaolswtAacHaDWxGx9mzB7BDw1t/+ce+Qm9k7zz137r0zLLxf0ujOPOc89zz37Pfs556fqSokSdrMWTs9AEnSy5tBIUlqMigkSU0GhSSpyaCQJDUZFJKkpk5BkeT7knwsye8nWUtSSS7p2Pe8JB9O8lSS5/vv8UMTjVqaEmtbGq3rHsVlwNuBE8CXxlzGJ4GDwK3ATwBPAb+b5I1jvo80C9a2NEK63HCX5Kyq+k7/9/cAS8ClVXVsRL83AF8G3l1Vn+q37QJWgK9W1eJEo5cmZG1Lo3Xao1jfkLZgEfg2cNfAe50CPge8Ncm5W3xfaSqsbWm0WZ/MXgCOVtXahvYV4DX0dvulM5G1rVeNXTN+/wvoHfvdaHVg+mmS3ATcBDA3N/f9V1xxxWxGp1e9hx566BtVtWcLXceubeta22WCuh5q1kERYNhJkLQ6VdUh4BDAgQMH6siRIzMYmgRJ/mSrXRmztq1rbZcJ6nqoWR96WmX4XsP8wHTpTGRt61Vj1kGxAlya5PwN7fuBF4EnZrx8aVasbb1qzDooloFzgJ9eb+hfQvgO4L6qemHGy5dmxdrWq0bncxRJfqr/6/f3X388yXHgeFV9McnFwNeA26rqNoCq+nKSu4CPJjkHOArcAlwK/N1pfQhpEta21DbOyezf2vD3v+u/fhG4mt5JvLM5fS/lXcC/AG4HXgt8Bbi2qv5wzLFKs2JtSw2dg6KqRl2pdIwhV3xU1fPAL/Z/pJcda1tq8+mxkqQmg0KS1GRQSJKaDApJUpNBIUlqMigkSU0GhSSpyaCQJDUZFJKkJoNCktRkUEiSmgwKSVKTQSFJajIoJElNBoUkqcmgkCQ1GRSSpCaDQpLUZFBIkpoMCklSk0EhSWoyKCRJTQaFJKnJoJAkNRkUkqQmg0KS1GRQSJKaDApJUpNBIUlqMigkSU0GhSSpqVNQJLkwyd1JnknybJJ7klzUse9FST6T5Mkka0keS3J7krnJhi5NxTnWttS2a9QMSc4H7gdeAG4ECrgdOJzk9VV1stF3Dvg94BzgnwJPAj8A/HPgcuAdk34AaavW1tYA9gFnY21LmxoZFMBBYC+wr6qeAEjyMPA4cDNwR6PvVfQ2mrdW1X39tsNJLgDel+T8qlrb8uilCSwtLQGcC1xvbUub63LoaRF4cH1DAqiqo8ADwHUj+r6m//rshvb/2192ug1Tmr7l5WWAk9a21NYlKBaAR4a0rwD7R/T9PXrfzn41yf4ku5NcA7wX+Hhr116atZWVFYDnh03C2pZe0iUoLgBODGlfBeZbHavqz4A395ezAnwL+DzwH4F/uFm/JDclOZLkyPHjxzsMURrf6uoqwKlhk5hBbVvXOlN1vTy2hrSN3LVOch5wF/C9wA3ADwPvp3ei799uurCqQ1V1oKoO7Nmzp+MQpamZSW1b1zpTdTmZfYLeXsVG8wzf0xj0D4Crgcuq6mv9tv+W5BngUJKPV9VXug5Wmqb5+XmefvrpYduAtS0N6LJHsULvPMVG+4FHR/T9a8CJgQ1p3f/ov76uw/KlmVhYWAA4b8gka1sa0CUoloErk+xdb0hyCb3LA5dH9P1TYD7JZRva/0b/9f90HKc0dYuLiwC7rW2prUtQLAHHgHuTXJdkEbgX+DrwifWZklyc5FSSWwf6fpreSb7fSXJjkh9J8n7g14CH6F2GKO2IgwcPQu9GUmtbahgZFP3L/K4BHgPuBD4LHAWuqarnBmYNvTtczxroewy4EvgyvTtef4feDXyHgB+rqu9M40NIWzE3Nwe9ura2pYYuJ7OpqieBt42Y5xhDrhapqkeBt29lcNI2eLGqrG2pwafHSpKaDApJUpNBIUlqMigkSU0GhSSpyaCQJDUZFJKkJoNCktRkUEiSmgwKSVKTQSFJajIoJElNBoUkqcmgkCQ1GRSSpCaDQpLUZFBIkpoMCklSk0EhSWoyKCRJTQaFJKnJoJAkNRkUkqQmg0KS1GRQSJKaDApJUpNBIUlqMigkSU0GhSSpyaCQJDV1CookFya5O8kzSZ5Nck+Si7ouJMnrkvxWkm8keT7JV5O8d+vDlqbmHGtbats1aoYk5wP3Ay8ANwIF3A4cTvL6qjo5ov+Bfv8vAO8BngEuB3ZPNHJpQmtrawD7gLOxtqVNjQwK4CCwF9hXVU8AJHkYeBy4Gbhjs45JzgI+A3y+qn5yYNLhLY9YmpKlpSWAc4HrrW1pc10OPS0CD65vSABVdRR4ALhuRN+rgf00NjhppywvLwOctLalti5BsQA8MqR9hd6G0vLm/ut5SR5M8u0kTyf59STfNc5ApWlbWVkBeH7YJKxt6SVdguIC4MSQ9lVgfkTfv9J/vQu4D/gx4F/TO5777zfrlOSmJEeSHDl+/HiHIUrjW11dBTg1bBIzqG3rWmeqLucooHeSb6N06LceRL9ZVbf2f/9CkrOBf5Vkf1U9etrCqg4BhwAOHDgwbNnSLM2ktq1rnam67FGcoLdXsdE8w/c0Bn2z//pfN7Tf1399Y4flSzMxPz8Pw78sWdvSgC5BsULvPMVG+4HT9gaG9IXT90jWv7F9p8PypZlYWFgAOG/IJGtbGtAlKJaBK5PsXW9IcglwVX9ay3+md//FtRva39p/PdJtmNL0LS4uAuy2tqW2LkGxBBwD7k1yXZJF4F7g68An1mdKcnGSU0nWj9dSVd8EfgX4uST/MsmPJvkAcCvwmcHLEqXtdvDgQej9Z29tSw0jT2ZX1ckk1wAfAe6kt2v9eeAXquq5gVlD7w7XjeFzG/At4OeB9wFPAR8GPjTx6KUJzM3NATxG7wY7a1vaRKernqrqSeBtI+Y5xpCrRaqq6N2U5I1Jejl6saqsbanBp8dKkpoMCklSk0EhSWoyKCRJTQaFJKnJoJAkNRkUkqQmg0KS1GRQSJKaDApJUpNBIUlqMigkSU0GhSSpyaCQJDUZFJKkJoNCktRkUEiSmgwKSVKTQSFJajIoJElNBoUkqcmgkCQ1GRSSpCaDQpLUZFBIkpoMCklSk0EhSWoyKCRJTQaFJKnJoJAkNRkUkqSmTkGR5MIkdyd5JsmzSe5JctG4C0vyS0kqyX8ff6jSTJxjbUttI4MiyfnA/cAVwI3ADcDlwOEkc10XlGQv8EHg6a0NVZqutbU1gH1Y21LTrg7zHAT2Avuq6gmAJA8DjwM3A3d0XNZvAJ+lt2F2Wa40U0tLSwDnAtdb29Lmuhx6WgQeXN+QAKrqKPAAcF2XhSR5J/Am4Je2MkhpFpaXlwFOWttSW5egWAAeGdK+Auwf1TnJPPAR4J9U1ep4w5NmZ2VlBeD5YZOwtqWXdAmKC4ATQ9pXgfkO/T8MPAZ8uuugktyU5EiSI8ePH+/aTRrL6uoqwKlhk5hBbVvXOlN1vTy2hrRlVKckbwH+PnBLVQ17j+ELqzpUVQeq6sCePXu6dpOmZSa1bV3rTNUlKE7Q26vYaJ7hexqDPgF8EvjfSV6b5LX0Tvad3f/73HEGK03T/Pw8DD/5bG1LA7oExQq98xQb7QceHdH3dcDP0dvo1n+uAq7s/35L55FKU7awsABw3pBJ1rY0oMulfMvAryXZW1V/DJDkEnobxQdG9P2RIW0fBc4G/hHwxJDp0rZYXFzk8OHDu61tqS2jDq/2bzz6Cr2rQ36Z3vmKDwHfDby+qp7rz3cx8DXgtqq6rfF+XwB2VdWbuwzwwIEDdeTIkS6zSmM5efIku3fvfoHefRPbWtvWtWYpyUNVdWBa7zfy0FNVnQSuoXd1x530biw6ClyzviGtj43etymfH6UzwtzcHPTq2tqWGjrdRVpVTwJvGzHPMTpcLVJVV3dZprRNXqwqa1tq8BuSJKnJoJAkNRkUkqQmg0KS1GRQSJKaDApJUpNBIUlqMigkSU0GhSSpyaCQJDUZFJKkJoNCktRkUEiSmgwKSVKTQSFJajIoJElNBoUkqcmgkCQ1GRSSpCaDQpLUZFBIkpoMCklSk0EhSWoyKCRJTQaFJKnJoJAkNRkUkqQmg0KS1GRQSJKaDApJUlOnoEhyYZK7kzyT5Nkk9yS5qEO/A0kOJflfSdaSPJnks0kunXzo0lScY21LbSODIsn5wP3AFcCNwA3A5cDhJHMjuv8MsAD8OvDjwAeANwFHklw4wbilia2trQHsw9qWmnZ1mOcgsBfYV1VPACR5GHgcuBm4o9H3V6vq+GBDkgeAo/33vXUrg5amYWlpCeBc4HprW9pcl0NPi8CD6xsSQFUdBR4Armt13Lgh9dv+BDgO/NXxhipN1/LyMsBJa1tq6xIUC8AjQ9pXgP3jLjDJ64DvBf7nuH2laVpZWQF4ftgkrG3pJV2C4gLgxJD2VWB+nIUl2QV8nN63rk825rspyZEkR44fP+2LmzQVq6urAKeGTWIGtW1d60zV9fLYGtKWLSzv3wA/CPy9qhoWPr2FVR2qqgNVdWDPnj1bWIw0kZnUtnWtM1WXoDhBb69io3mG72kMleRXgJuAd1fVfV37SbMyPz8Pwy/osLalAV2CYoXeeYqN9gOPdllIkg/Su3zwvVV1Z/fhSbOzsLAAcN6QSda2NKBLUCwDVybZu96Q5BLgqv60piT/GLgd+GBVfWyL45SmbnFxEWC3tS21dQmKJeAYcG+S65IsAvcCXwc+sT5TkouTnEpy60DbzwAfBf4LcH+SKwd+xr6qRJqmgwcPAryAtS01jbzhrqpOJrkG+AhwJ70TfZ8HfqGqnhuYNcDZ/MXwubbffm3/Z9AXgau3PHJpQnNzcwCP0bvBztqWNtHlzmyq6kngbSPmOcaGq0Wq6meBn93a0KRt8WJVWdtSg0+PlSQ1GRSSpCaDQpLUZFBIkpoMCklSk0EhSWoyKCRJTQaFJKnJoJAkNRkUkqQmg0KS1GRQSJKaDApJUpNBIUlqMigkSU0GhSSpyaCQJDUZFJKkJoNCktRkUEiSmgwKSVKTQSFJajIoJElNBoUkqcmgkCQ1GRSSpCaDQpLUZFBIkpoMCklSk0EhSWoyKCRJTZ2CIsmFSe5O8kySZ5Pck+Sijn3PS/LhJE8leT7J7yf5ocmGLU3NOda21DYyKJKcD9wPXAHcCNwAXA4cTjLXYRmfBA4CtwI/ATwF/G6SN25xzNJUrK2tAezD2paadnWY5yCwF9hXVU8AJHkYeBy4Gbhjs45J3gC8E3h3VX2q3/ZFYAW4DVicaPTSBJaWlgDOBa63tqXNdTn0tAg8uL4hAVTVUeAB4LoOfb8N3DXQ9xTwOeCtSc4de8TSlCwvLwOctLalti5BsQA8MqR9Bdjfoe/Rqlob0vc1wGUdli/NxMrKCsDzwyZhbUsv6XLo6QLgxJD2VWB+gr7r00+T5Cbgpv6fLyQZFlQa7i8D39jpQZwh3gR8z5D2mdS2dT0R63o8+6b5Zl2CAqCGtKVDv2ylb1UdAg4BJDlSVQc6LEu4vsaR5EX+/D/2vzCpS3fGrG3reutcX+NJcmSa79fl0NMJhn/zn2f4N6pBq42+69OlnXKC4V+WrG1pQJegWKF3PHaj/cCjHfpe2r/EdmPfF4EnTu8ibZsV4Lwh7da2NKBLUCwDVybZu96Q5BLgqv60UX3PAX56oO8u4B3AfVX1QoflH+owj/6c66u7ZeD8Hapt/53G4/oaz1TXV6qGHWYdmKF349FX6F0d8sv0jst+CPhu4PVV9Vx/vouBrwG3VdVtA/0/B7wVeD9wFLiF3s1JP1hVfzjNDyONw9qWuhm5R1FVJ4FrgMeAO4HP0tsorlnfkPoCnD3kPd8FfAq4HfhPwIXAtW5I2mnWttTNyD0KSdKr2448PdaHDI5nwvVVm/y8ccbD3jFJvi/Jx/q1sdb/vJd07DtRfVnb47G2u9vJut72oPAhg+OZwvoC+DTwNzf8PDb1wb58XAa8nd4lrl8as++W68vaHo+1PbYdqWsAqmpbf4D3Av8PuGyg7VLgFPCLI/q+gd4Jx3cNtO0Cvgosb/dnebmvr/68Bdy+059jm9fZWQO/v6e/Di7p0G+i+rK2x/53srbHW187UtdVtSOHnnzI4HgmWV+vSlX1nS12nbS+rO3xWNtj2MG63pGg8CGD45lkfa27JckL/eOa9yd5y/SG94oyaX1Z2+OxtrfHxLW1E0Gx7Q8ZPMNNsr4AfhP4eeBH6T2Q7i8B9ye5ekrjeyWZtL6s7fFY29tj4trq+lDAadvWhwy+Amz5M1fVDQN/finJvfS+xd0OvHkKY3slmUZ9WdvjsbZnb+La2ok9Ch8yOJ5J1tdpqupb9G4O+4EJx/VKNGl9Wdvjsba3x8S1tRNB4UMGxzPJ+trMZt8wXu0mrS9rezzW9vaYuLZ2Iih2+iGDZ5pJ1tdpknwP8LeBP5jWAF9BJq0va3s81vb2mLy2duBa4Dl6CfZH9C6BW6T3YLY/BnYPzHcxveupb93Q/3P0dkvfA/wt4G7gz4A37fR1zi+39QW8D1gC3glcTe+mpj+i9y3iLTv92Wa83n6q//Mb9L5h3tL/+4dnVV/WtrW9Dets2+u6qrY/KPqDvgj4beBZ4FvAf2DDjSPAJf0V8c82tH8XcAfwp/0P+gfA1Tv9D/hyXF/A36F3Tfo36F1H/U163y7++k5/pm1YZ7XJzxdmWV/WtrU94/W1I3XtQwElSU078lBASdKZw6CQJDUZFJKkJoNCktRkUEiSmgwKSVKTQSFJajIoJElN/x9cFA9xR9nq2gAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -1536,7 +1479,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 38,
+   "execution_count": 36,
    "metadata": {},
    "outputs": [
     {
@@ -1546,13 +1489,13 @@
        " array([<AxesSubplot:>, <AxesSubplot:>], dtype=object))"
       ]
      },
-     "execution_count": 38,
+     "execution_count": 36,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -1569,7 +1512,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 39,
+   "execution_count": 37,
    "metadata": {},
    "outputs": [
     {
@@ -1580,13 +1523,13 @@
        "        [<AxesSubplot:>, <AxesSubplot:>]], dtype=object))"
       ]
      },
-     "execution_count": 39,
+     "execution_count": 37,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYoAAAEDCAYAAAArwUMAAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAAUmElEQVR4nO3db4xcdb3H8fcXWsEuogVNfCDQNpg2bQINFIPyx14kQaN3wYiaYAhBaUl5okF8xiXeWh+ZoImJxu41kIAJRCSyhAdyr0VCiGCKkT/LDX+0VWMwKbaXQrcWK9/74MzCuJ397Tl75k/bfb+SSXfPzG/mzG8/08+cmTNnIjORJGkuJ4x6BSRJRzeLQpJUZFFIkoosCklSkUUhSSqyKCRJRbWKIiI+FBHfj4hfR8R0RGRErKg59uSI+E5EvBIRBzvXcWmrtZb6xGxL86u7RXE28AVgH/BYw9v4MbAJuA34DPAK8IuIWN/weqRBMNvSPKLOB+4i4oTMfKvz8w3ABLAyM3fPM+5c4HfAlzPzjs6yJcAU8EJmjrdae6klsy3Nr9YWxcwDaQHGgX8A93Zd12HgHuCKiDhpgdcr9YXZluY36Dez1wG7MnN61vIp4F1Um/3Sschsa9FYMuDrP43qtd/Z9nadf4SI2AxsBhgbGzt/zZo1g1k7LXpPPfXUq5n5gQUMbZxtc61haZHrngZdFAH0ehMkSoMyczuwHWDDhg25c+fOAayaBBHxx4UOpWG2zbWGpUWuexr0S0976b3VsLzrfOlYZLa1aAy6KKaAlRGxbNbytcCbwMsDvn1pUMy2Fo1BF8UksBT4/MyCzi6EXwQezsxDA759aVDMthaN2u9RRMTVnR/P7/z7qYjYA+zJzEcj4izg98DWzNwKkJm/i4h7ge9FxFJgF7AFWAl8qV93QmrDbEtlTd7M/ums33/Q+fdRYCPVm3gncuRWyvXAt4FtwPuAp4FPZuZvG66rNChmWyqoXRSZOd+eSrvpscdHZh4Ebu6cpKOO2ZbKPHqsJKnIopAkFVkUkqQii0KSVGRRSJKKLApJUpFFIUkqsigkSUUWhSSpyKKQJBVZFJKkIotCklRkUUiSiiwKSVKRRSFJKrIoJElFFoUkqciikCQVWRSSpCKLQpJUZFFIkoosCklSkUUhSSqyKCRJRRaFJKnIopAkFVkUkqQii0KSVGRRSJKKLApJUpFFIUkqsigkSUUWhSSpyKKQJBVZFJKkIotCklRkUUiSimoVRUScERH3RcRrEbE/Iu6PiDNrjs05TutbrbnUH0vNtlS2ZL4LRMQyYAdwCLgOSGAb8EhEnJOZB2rczp3Aj2Yte7HZqkr9NT09DbAaOBGzLc1p3qIANgGrgNWZ+TJARDwDvATcCNxe4zr+kplPLHgtpQGYmJgAOAm4ymxLc6vz0tM48MTMAwkgM3cBjwNXDmrFpEGbnJwEOGC2pbI6RbEOeK7H8ilgbc3b2RIRhyJiOiJ2RMQltddQGpCpqSmAg73OwmxLb6tTFKcB+3os3wssrzH+buAm4HJgM3A6sCMiNs41ICI2R8TOiNi5Z8+eGjchNbd3716Aw73OYgDZNtc6VtV5jwKqN/lmi1oDM6/t+vWxiHiAagtlG3DxHGO2A9sBNmzY0Ou2pUEaSLbNtY5VdbYo9lFtVcy2nN5bGkWZ+TrwEHBB07FSPy1fvhx6P1ky21KXOkUxRfU+xWxrgecXeLtB760UaWjWrVsHcHKPs8y21KVOUUwCF0bEqpkFEbECuKhzXiMRcSrwaeDJpmOlfhofHwc4xWxLZXWKYgLYDTwQEVdGxDjwAPBnuj5oFBFnRcThiLita9ktETEREddExMaIuI5q18MPArf2845ITW3atAmqD5Kabalg3jezM/NARFwGfBe4i2rT+pfA1zLzja6LBtUnXLvL5wXgs53Te4H9VA+mr2Tmb/pyD6QFGhsbg+pT1C9htqU51drrKTP/BHxunsvsZtbeIpn5IPDgQldOGoI3M9NsSwUePVaSVGRRSJKKLApJUpFFIUkqsigkSUUWhSSpyKKQJBVZFJKkIotCklRkUUiSiiwKSVKRRSFJKrIoJElFFoUkqciikCQVWRSSpCKLQpJUZFFIkoosCklSkUUhSSqyKCRJRRaFJKnIopAkFVkUkqQii0KSVGRRSJKKLApJUpFFIUkqsigkSUUWhSSpyKKQJBVZFJKkIotCklRkUUiSiiwKSVKRRSFJKqpVFBFxRkTcFxGvRcT+iLg/Is6sOfbkiPhORLwSEQcj4tcRcWm71Zb6ZqnZlsrmLYqIWAbsANYA1wHXAh8GHomIsRq38WNgE3Ab8BngFeAXEbF+gess9cX09DTAasy2VLSkxmU2AauA1Zn5MkBEPAO8BNwI3D7XwIg4F7gG+HJm3tFZ9igwBWwFxlutvdTCxMQEwEnAVWZbmludl57GgSdmHkgAmbkLeBy4ssbYfwD3do09DNwDXBERJzVeY6lPJicnAQ6YbamsTlGsA57rsXwKWFtj7K7MnO4x9l3A2TVuXxqIqakpgIO9zsJsS2+r89LTacC+Hsv3AstbjJ05/wgRsRnY3Pn1UET0Kir19n7g1VGvxDHiPODUHssHkm1z3Yq5bmZ1P6+sTlEAZI9lUWNcLGRsZm4HtgNExM7M3FDjtoTz1UREvMk7/7H/y1l1htMw2+Z64ZyvZiJiZz+vr85LT/vo/cx/Ob2fUXXbWxg7c740Kvvo/WTJbEtd6hTFFNXrsbOtBZ6vMXZlZxfb2WPfBF4+cog0NFPAyT2Wm22pS52imAQujIhVMwsiYgVwUee8+cYuBT7fNXYJ8EXg4cw8VOP2t9e4jN7hfNU3CSwbUbb9OzXjfDXT1/mKzF4vs3ZdoPrg0dNUe4fcSvW67LeA9wDnZOYbncudBfwe2JqZW7vG3wNcAXwD2AVsofpw0scy87f9vDNSE2ZbqmfeLYrMPABcBrwI3AX8hOpBcdnMA6kjgBN7XOf1wB3ANuAh4Azgkz6QNGpmW6pn3i0KSdLiNpKjx3qQwWZazlfOcVo/4NUemYj4UER8v5ON6c79XVFzbKt8me1mzHZ9o8z10IvCgww204f5ArgT+Ois04t9X9mjx9nAF6h2cX2s4dgF58tsN2O2GxtJrgHIzKGegK8C/wTO7lq2EjgM3DzP2HOp3nC8vmvZEuAFYHLY9+Von6/OZRPYNur7MeQ5O6Hr5xs6c7CixrhW+TLbjf9OZrvZfI0k15k5kpeePMhgM23ma1HKzLcWOLRtvsx2M2a7gRHmeiRF4UEGm2kzXzO2RMShzuuaOyLikv6t3nGlbb7MdjNmezhaZ2sURTH0gwwe49rMF8DdwE3A5VQHpDsd2BERG/u0fseTtvky282Y7eFona26BwXst6EeZPA4sOD7nJnXdv36WEQ8QPUsbhtwcR/W7XjSj3yZ7WbM9uC1zlbd78zu225ZncW9Nis9EFtvbQ7KeITMfJ3qw2EXtFyv40J3toF/ozpczYpZF+uZL7PdmtkejtbZqvvSUz93y/o/4DM9dsvyQGy9tTko41zmeoaxGHVne1dn2ewDBc6VL7PdjtkejvbZGsFuWTd3lv1P17IVVO/Kf32e61vfGXvdrN28/hd4cNS7rw3iBHyNanfBVU3na47rOxX4E/DoqO/bkOavmNdZ2f7PzmW/3rWsZ77Mdl/+NmZ74XPX5P/h1tka9Ar+B1VjLetaNka1qfMW8DmqXbeeBv4AnNJ1ubM6Ibpt1nXeQ/Xs7wbgE8B9wN+B80b9xxtQIMaoGv9Zql0Ga88XcAswAVwDbKT6UNOznb/JJaO+bwOet6s7px928rql8/vHC/M1k+3X5suX2Tbbx0qu+5Gthaxok6K4B3ihx/Itnet4A3gd+Pns66N6ZpHAN2ctfzdwO/DXzh19Etg46j/ggMNxJvAzYH+T+QL+nWqf9FepnqX9jerw2B8Z9X0awpzlHKdfFeZrJtv/NV++zLbZHtF8Nc51P7LV+KCAEXEDVZOvzMzd81z2YeDUzLxw1vLLgf8GLs3MI97ziK7vFh4bGzt/zZo1jdZRquupp556NTM/AIPPtrnWsHTnuh8GvXts6+/M3rBhQ+7c2devf5XeFhF/XOhQWnxntrnWILXIdU+D/sDdYtzlT4uD2daiMeiiWIy7/GlxMNtaNAZdFP34zmzpaGS2tWjUfo8iIq7u/Hh+599PRcQeYE9mPho9vlc4M38XEfcC34uIpbzzvcIrgS/1605IbZhtqazJm9k/nfX7Dzr/Pkq1H3Ppe4W/TXX8lfdR7Sft9wrraGK2pYLaRZGZ8+2ptJsee3xk5kGqT6ze3HTlpGEw21LZSL4zW5J07LAoJElFFoUkqciikCQVWRSSpCKLQpJUZFFIkoosCklSkUUhSSqyKCRJRRaFJKnIopAkFVkUkqQii0KSVGRRSJKKLApJUpFFIUkqsigkSUUWhSSpyKKQJBVZFJKkIotCklRkUUiSiiwKSVKRRSFJKrIoJElFFoUkqciikCQVWRSSpCKLQpJUZFFIkoosCklSkUUhSSqyKCRJRRaFJKnIopAkFdUqiog4IyLui4jXImJ/RNwfEWfWHJtznNa3WnOpP5aabalsyXwXiIhlwA7gEHAdkMA24JGIOCczD9S4nTuBH81a9mKzVZX6a3p6GmA1cCJmW5rTvEUBbAJWAasz82WAiHgGeAm4Ebi9xnX8JTOfWPBaSgMwMTEBcBJwldmW5lbnpadx4ImZBxJAZu4CHgeuHNSKSYM2OTkJcMBsS2V1imId8FyP5VPA2pq3syUiDkXEdETsiIhLaq+hNCBTU1MAB3udhdmW3lanKE4D9vVYvhdYXmP83cBNwOXAZuB0YEdEbJxrQERsjoidEbFzz549NW5Cam7v3r0Ah3udxQCyba51rKrzHgVUb/LNFrUGZl7b9etjEfEA1RbKNuDiOcZsB7YDbNiwoddtS4M0kGybax2r6mxR7KPaqphtOb23NIoy83XgIeCCpmOlflq+fDn0frJktqUudYpiiup9itnWAs8v8HaD3lsp0tCsW7cO4OQeZ5ltqUudopgELoyIVTMLImIFcFHnvEYi4lTg08CTTcdK/TQ+Pg5witmWyuoUxQSwG3ggIq6MiHHgAeDPdH3QKCLOiojDEXFb17JbImIiIq6JiI0RcR3VrocfBG7t5x2Rmtq0aRNUHyQ121LBvG9mZ+aBiLgM+C5wF9Wm9S+Br2XmG10XDapPuHaXzwvAZzun9wL7qR5MX8nM3/TlHkgLNDY2BtWnqF/CbEtzqrXXU2b+CfjcPJfZzay9RTLzQeDBha6cNARvZqbZlgo8eqwkqciikCQVWRSSpCKLQpJUZFFIkoosCklSkUUhSSqyKCRJRRaFJKnIopAkFVkUkqQii0KSVGRRSJKKLApJUpFFIUkqsigkSUUWhSSpyKKQJBVZFJKkIotCklRkUUiSiiwKSVKRRSFJKrIoJElFFoUkqciikCQVWRSSpCKLQpJUZFFIkoosCklSkUUhSSqyKCRJRRaFJKnIopAkFVkUkqQii0KSVGRRSJKKahVFRJwREfdFxGsRsT8i7o+IM2uOPTkivhMRr0TEwYj4dURc2m61pb5ZaralsnmLIiKWATuANcB1wLXAh4FHImKsxm38GNgE3AZ8BngF+EVErF/gOkt9MT09DbAasy0VLalxmU3AKmB1Zr4MEBHPAC8BNwK3zzUwIs4FrgG+nJl3dJY9CkwBW4HxVmsvtTAxMQFwEnCV2ZbmVuelp3HgiZkHEkBm7gIeB66sMfYfwL1dYw8D9wBXRMRJjddY6pPJyUmAA2ZbKqtTFOuA53osnwLW1hi7KzOne4x9F3B2jduXBmJqagrgYK+zMNvS2+q89HQasK/H8r3A8hZjZ84/QkRsBjZ3fj0UEb2KSr29H3h11CtxjDgPOLXH8oFk21y3Yq6bWd3PK6tTFADZY1nUGBcLGZuZ24HtABGxMzM31Lgt4Xw1ERFv8s5/7P9yVp3hNMy2uV4456uZiNjZz+ur89LTPno/819O72dU3fYWxs6cL43KPno/WTLbUpc6RTFF9XrsbGuB52uMXdnZxXb22DeBl48cIg3NFHByj+VmW+pSpygmgQsjYtXMgohYAVzUOW++sUuBz3eNXQJ8EXg4Mw/VuP3tNS6jdzhf9U0Cy0aUbf9OzThfzfR1viKz18usXReoPnj0NNXeIbdSvS77LeA9wDmZ+UbncmcBvwe2ZubWrvH3AFcA3wB2AVuoPpz0scz8bT/vjNSE2ZbqmXeLIjMPAJcBLwJ3AT+helBcNvNA6gjgxB7XeT1wB7ANeAg4A/ikDySNmtmW6pl3i0KStLiN5OixHmSwmZbzlXOc1g94tUcmIj4UEd/vZGO6c39X1BzbKl9muxmzXd8ocz30ovAgg830Yb4A7gQ+Ouv0Yt9X9uhxNvAFql1cH2s4dsH5MtvNmO3GRpJrADJzqCfgq8A/gbO7lq0EDgM3zzP2XKo3HK/vWrYEeAGYHPZ9Odrnq3PZBLaN+n4Mec5O6Pr5hs4crKgxrlW+zHbjv5PZbjZfI8l1Zo7kpScPMthMm/lalDLzrQUObZsvs92M2W5ghLkeSVF4kMFm2szXjC0RcajzuuaOiLikf6t3XGmbL7PdjNkejtbZGkVRDP0gg8e4NvMFcDdwE3A51QHpTgd2RMTGPq3f8aRtvsx2M2Z7OFpnq+5BAfttqAcZPA4s+D5n5rVdvz4WEQ9QPYvbBlzch3U7nvQjX2a7GbM9eK2zNYotCg8y2Eyb+TpCZr5O9eGwC1qu1/Gobb7MdjNmezhaZ2sUReFBBptpM19zmesZxmLXNl9muxmzPRytszWKohj1QQaPNW3m6wgRcSrwaeDJfq3gcaRtvsx2M2Z7ONpnawT7Ao9RNdizVLvAjVMdmO0PwCldlzuLan/q22aNv4dqs/QG4BPAfcDfgfNGvZ/z0TZfwC3ABHANsJHqQ03PUj2LuGTU923A83Z15/RDqmeYWzq/f3xQ+TLbZnsIczb0XGfm8Iuis9JnAj8D9gOvAz9n1gdHgBWdifjmrOXvBm4H/tq5o08CG0f9Bzwa5wv4d6p90l+l2o/6b1TPLj4y6vs0hDnLOU6/GmS+zLbZHvB8jSTXHhRQklQ0koMCSpKOHRaFJKnIopAkFVkUkqQii0KSVGRRSJKKLApJUpFFIUkq+n8If5dmmAGggAAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 4 Axes>"
       ]
@@ -1603,7 +1546,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 40,
+   "execution_count": 38,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1620,7 +1563,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 41,
+   "execution_count": 39,
    "metadata": {},
    "outputs": [
     {
@@ -1629,13 +1572,13 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 41,
+     "execution_count": 39,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -1663,7 +1606,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 42,
+   "execution_count": 40,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1680,7 +1623,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 43,
+   "execution_count": 41,
    "metadata": {},
    "outputs": [
     {
@@ -1689,13 +1632,13 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 43,
+     "execution_count": 41,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 2 Axes>"
       ]
@@ -1723,7 +1666,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 44,
+   "execution_count": 42,
    "metadata": {},
    "outputs": [
     {
@@ -1808,7 +1751,7 @@
        "4      5.0      3.6      1.4      0.2  Iris-setosa"
       ]
      },
-     "execution_count": 44,
+     "execution_count": 42,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1829,12 +1772,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 45,
+   "execution_count": 43,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 864x216 with 3 Axes>"
       ]
@@ -1870,7 +1813,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 46,
+   "execution_count": 44,
    "metadata": {},
    "outputs": [
     {
@@ -1879,12 +1822,13 @@
      "text": [
       "CREATE TABLE \"survey\" (\n",
       "\"Lecture\" TEXT,\n",
-      "  \"Age\" REAL,\n",
-      "  \"Primary major\" TEXT,\n",
-      "  \"Other majors\" TEXT,\n",
+      "  \"Age\" TEXT,\n",
+      "  \"Major\" TEXT,\n",
       "  \"Zip Code\" TEXT,\n",
+      "  \"Latitude\" TEXT,\n",
+      "  \"Longitude\" TEXT,\n",
       "  \"Pizza topping\" TEXT,\n",
-      "  \"Pet owner\" TEXT,\n",
+      "  \"Pet preference\" TEXT,\n",
       "  \"Runner\" TEXT,\n",
       "  \"Sleep habit\" TEXT,\n",
       "  \"Procrastinator\" TEXT\n",
@@ -1904,23 +1848,483 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 47,
+   "execution_count": 45,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Lecture</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Major</th>\n",
+       "      <th>Zip Code</th>\n",
+       "      <th>Latitude</th>\n",
+       "      <th>Longitude</th>\n",
+       "      <th>Pizza topping</th>\n",
+       "      <th>Pet preference</th>\n",
+       "      <th>Runner</th>\n",
+       "      <th>Sleep habit</th>\n",
+       "      <th>Procrastinator</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>LEC001</td>\n",
+       "      <td>22</td>\n",
+       "      <td>Engineering: Biomedical</td>\n",
+       "      <td>53703</td>\n",
+       "      <td>43.073051</td>\n",
+       "      <td>-89.40123</td>\n",
+       "      <td>none (just cheese)</td>\n",
+       "      <td>neither</td>\n",
+       "      <td>No</td>\n",
+       "      <td>no preference</td>\n",
+       "      <td>Maybe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>LEC006</td>\n",
+       "      <td></td>\n",
+       "      <td>Undecided</td>\n",
+       "      <td>53706</td>\n",
+       "      <td>43.073051</td>\n",
+       "      <td>-89.40123</td>\n",
+       "      <td>none (just cheese)</td>\n",
+       "      <td>neither</td>\n",
+       "      <td>No</td>\n",
+       "      <td>no preference</td>\n",
+       "      <td>Maybe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>LEC004</td>\n",
+       "      <td>18</td>\n",
+       "      <td>Engineering: Industrial</td>\n",
+       "      <td>53715</td>\n",
+       "      <td>43.073051</td>\n",
+       "      <td>-89.40123</td>\n",
+       "      <td>none (just cheese)</td>\n",
+       "      <td>neither</td>\n",
+       "      <td>No</td>\n",
+       "      <td>no preference</td>\n",
+       "      <td>Maybe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>LEC005</td>\n",
+       "      <td></td>\n",
+       "      <td>Undecided</td>\n",
+       "      <td>53706</td>\n",
+       "      <td>43.073051</td>\n",
+       "      <td>-89.40123</td>\n",
+       "      <td>none (just cheese)</td>\n",
+       "      <td>neither</td>\n",
+       "      <td>No</td>\n",
+       "      <td>no preference</td>\n",
+       "      <td>Maybe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>LEC002</td>\n",
+       "      <td></td>\n",
+       "      <td>Undecided</td>\n",
+       "      <td>53706</td>\n",
+       "      <td>43.073051</td>\n",
+       "      <td>-89.40123</td>\n",
+       "      <td>none (just cheese)</td>\n",
+       "      <td>neither</td>\n",
+       "      <td>No</td>\n",
+       "      <td>no preference</td>\n",
+       "      <td>Maybe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>987</th>\n",
+       "      <td>LEC005</td>\n",
+       "      <td>18</td>\n",
+       "      <td>Psychology</td>\n",
+       "      <td>53706</td>\n",
+       "      <td>9.167414</td>\n",
+       "      <td>77.876747</td>\n",
+       "      <td>mushroom</td>\n",
+       "      <td>cat</td>\n",
+       "      <td>No</td>\n",
+       "      <td>early bird</td>\n",
+       "      <td>No</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>988</th>\n",
+       "      <td>LEC003</td>\n",
+       "      <td>19</td>\n",
+       "      <td>Engineering: Industrial</td>\n",
+       "      <td>53715</td>\n",
+       "      <td>24.713552</td>\n",
+       "      <td>46.675297</td>\n",
+       "      <td>basil/spinach</td>\n",
+       "      <td>neither</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>early bird</td>\n",
+       "      <td>Maybe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>989</th>\n",
+       "      <td>LEC001</td>\n",
+       "      <td>18</td>\n",
+       "      <td>Undecided</td>\n",
+       "      <td>53706</td>\n",
+       "      <td>44.8341</td>\n",
+       "      <td>87.377</td>\n",
+       "      <td>basil/spinach</td>\n",
+       "      <td>dog</td>\n",
+       "      <td>No</td>\n",
+       "      <td>no preference</td>\n",
+       "      <td>Yes</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>990</th>\n",
+       "      <td>LEC003</td>\n",
+       "      <td>19</td>\n",
+       "      <td>Engineering: Mechanical</td>\n",
+       "      <td>53705</td>\n",
+       "      <td>46.589146</td>\n",
+       "      <td>-112.039108</td>\n",
+       "      <td>none (just cheese)</td>\n",
+       "      <td>cat</td>\n",
+       "      <td>No</td>\n",
+       "      <td>night owl</td>\n",
+       "      <td>Yes</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>991</th>\n",
+       "      <td>LEC001</td>\n",
+       "      <td>20</td>\n",
+       "      <td>Economics</td>\n",
+       "      <td>53703</td>\n",
+       "      <td>39.631506</td>\n",
+       "      <td>118.143239</td>\n",
+       "      <td>pineapple</td>\n",
+       "      <td>dog</td>\n",
+       "      <td>No</td>\n",
+       "      <td>night owl</td>\n",
+       "      <td>Maybe</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>992 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Lecture Age                    Major Zip Code   Latitude    Longitude  \\\n",
+       "0    LEC001  22  Engineering: Biomedical    53703  43.073051    -89.40123   \n",
+       "1    LEC006                    Undecided    53706  43.073051    -89.40123   \n",
+       "2    LEC004  18  Engineering: Industrial    53715  43.073051    -89.40123   \n",
+       "3    LEC005                    Undecided    53706  43.073051    -89.40123   \n",
+       "4    LEC002                    Undecided    53706  43.073051    -89.40123   \n",
+       "..      ...  ..                      ...      ...        ...          ...   \n",
+       "987  LEC005  18               Psychology    53706   9.167414    77.876747   \n",
+       "988  LEC003  19  Engineering: Industrial    53715  24.713552    46.675297   \n",
+       "989  LEC001  18                Undecided    53706    44.8341       87.377   \n",
+       "990  LEC003  19  Engineering: Mechanical    53705  46.589146  -112.039108   \n",
+       "991  LEC001  20                Economics    53703  39.631506   118.143239   \n",
+       "\n",
+       "          Pizza topping Pet preference Runner    Sleep habit Procrastinator  \n",
+       "0    none (just cheese)        neither     No  no preference          Maybe  \n",
+       "1    none (just cheese)        neither     No  no preference          Maybe  \n",
+       "2    none (just cheese)        neither     No  no preference          Maybe  \n",
+       "3    none (just cheese)        neither     No  no preference          Maybe  \n",
+       "4    none (just cheese)        neither     No  no preference          Maybe  \n",
+       "..                  ...            ...    ...            ...            ...  \n",
+       "987            mushroom            cat     No     early bird             No  \n",
+       "988       basil/spinach        neither    Yes     early bird          Maybe  \n",
+       "989       basil/spinach            dog     No  no preference            Yes  \n",
+       "990  none (just cheese)            cat     No      night owl            Yes  \n",
+       "991           pineapple            dog     No      night owl          Maybe  \n",
+       "\n",
+       "[992 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 45,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "# TODO: display all columns of the table\n",
-    "survey_data = pd.read_sql(\"SELECT * FROM survey\", conn)"
+    "survey_data = pd.read_sql(\"SELECT * FROM survey\", conn)\n",
+    "survey_data"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 48,
+   "execution_count": 46,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>Lecture</th>\n",
+       "      <th>Age</th>\n",
+       "      <th>Major</th>\n",
+       "      <th>Zip Code</th>\n",
+       "      <th>Latitude</th>\n",
+       "      <th>Longitude</th>\n",
+       "      <th>Pizza topping</th>\n",
+       "      <th>Pet preference</th>\n",
+       "      <th>Runner</th>\n",
+       "      <th>Sleep habit</th>\n",
+       "      <th>Procrastinator</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>LEC001</td>\n",
+       "      <td>22.0</td>\n",
+       "      <td>Engineering: Biomedical</td>\n",
+       "      <td>53703</td>\n",
+       "      <td>43.073051</td>\n",
+       "      <td>-89.401230</td>\n",
+       "      <td>none (just cheese)</td>\n",
+       "      <td>neither</td>\n",
+       "      <td>No</td>\n",
+       "      <td>no preference</td>\n",
+       "      <td>Maybe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>LEC006</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Undecided</td>\n",
+       "      <td>53706</td>\n",
+       "      <td>43.073051</td>\n",
+       "      <td>-89.401230</td>\n",
+       "      <td>none (just cheese)</td>\n",
+       "      <td>neither</td>\n",
+       "      <td>No</td>\n",
+       "      <td>no preference</td>\n",
+       "      <td>Maybe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>LEC004</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>Engineering: Industrial</td>\n",
+       "      <td>53715</td>\n",
+       "      <td>43.073051</td>\n",
+       "      <td>-89.401230</td>\n",
+       "      <td>none (just cheese)</td>\n",
+       "      <td>neither</td>\n",
+       "      <td>No</td>\n",
+       "      <td>no preference</td>\n",
+       "      <td>Maybe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>LEC005</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Undecided</td>\n",
+       "      <td>53706</td>\n",
+       "      <td>43.073051</td>\n",
+       "      <td>-89.401230</td>\n",
+       "      <td>none (just cheese)</td>\n",
+       "      <td>neither</td>\n",
+       "      <td>No</td>\n",
+       "      <td>no preference</td>\n",
+       "      <td>Maybe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>LEC002</td>\n",
+       "      <td>NaN</td>\n",
+       "      <td>Undecided</td>\n",
+       "      <td>53706</td>\n",
+       "      <td>43.073051</td>\n",
+       "      <td>-89.401230</td>\n",
+       "      <td>none (just cheese)</td>\n",
+       "      <td>neither</td>\n",
+       "      <td>No</td>\n",
+       "      <td>no preference</td>\n",
+       "      <td>Maybe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>...</th>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "      <td>...</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>987</th>\n",
+       "      <td>LEC005</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>Psychology</td>\n",
+       "      <td>53706</td>\n",
+       "      <td>9.167414</td>\n",
+       "      <td>77.876747</td>\n",
+       "      <td>mushroom</td>\n",
+       "      <td>cat</td>\n",
+       "      <td>No</td>\n",
+       "      <td>early bird</td>\n",
+       "      <td>No</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>988</th>\n",
+       "      <td>LEC003</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>Engineering: Industrial</td>\n",
+       "      <td>53715</td>\n",
+       "      <td>24.713552</td>\n",
+       "      <td>46.675297</td>\n",
+       "      <td>basil/spinach</td>\n",
+       "      <td>neither</td>\n",
+       "      <td>Yes</td>\n",
+       "      <td>early bird</td>\n",
+       "      <td>Maybe</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>989</th>\n",
+       "      <td>LEC001</td>\n",
+       "      <td>18.0</td>\n",
+       "      <td>Undecided</td>\n",
+       "      <td>53706</td>\n",
+       "      <td>44.834100</td>\n",
+       "      <td>87.377000</td>\n",
+       "      <td>basil/spinach</td>\n",
+       "      <td>dog</td>\n",
+       "      <td>No</td>\n",
+       "      <td>no preference</td>\n",
+       "      <td>Yes</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>990</th>\n",
+       "      <td>LEC003</td>\n",
+       "      <td>19.0</td>\n",
+       "      <td>Engineering: Mechanical</td>\n",
+       "      <td>53705</td>\n",
+       "      <td>46.589146</td>\n",
+       "      <td>-112.039108</td>\n",
+       "      <td>none (just cheese)</td>\n",
+       "      <td>cat</td>\n",
+       "      <td>No</td>\n",
+       "      <td>night owl</td>\n",
+       "      <td>Yes</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>991</th>\n",
+       "      <td>LEC001</td>\n",
+       "      <td>20.0</td>\n",
+       "      <td>Economics</td>\n",
+       "      <td>53703</td>\n",
+       "      <td>39.631506</td>\n",
+       "      <td>118.143239</td>\n",
+       "      <td>pineapple</td>\n",
+       "      <td>dog</td>\n",
+       "      <td>No</td>\n",
+       "      <td>night owl</td>\n",
+       "      <td>Maybe</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "<p>992 rows × 11 columns</p>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    Lecture   Age                    Major  Zip Code   Latitude   Longitude  \\\n",
+       "0    LEC001  22.0  Engineering: Biomedical     53703  43.073051  -89.401230   \n",
+       "1    LEC006   NaN                Undecided     53706  43.073051  -89.401230   \n",
+       "2    LEC004  18.0  Engineering: Industrial     53715  43.073051  -89.401230   \n",
+       "3    LEC005   NaN                Undecided     53706  43.073051  -89.401230   \n",
+       "4    LEC002   NaN                Undecided     53706  43.073051  -89.401230   \n",
+       "..      ...   ...                      ...       ...        ...         ...   \n",
+       "987  LEC005  18.0               Psychology     53706   9.167414   77.876747   \n",
+       "988  LEC003  19.0  Engineering: Industrial     53715  24.713552   46.675297   \n",
+       "989  LEC001  18.0                Undecided     53706  44.834100   87.377000   \n",
+       "990  LEC003  19.0  Engineering: Mechanical     53705  46.589146 -112.039108   \n",
+       "991  LEC001  20.0                Economics     53703  39.631506  118.143239   \n",
+       "\n",
+       "          Pizza topping Pet preference Runner    Sleep habit Procrastinator  \n",
+       "0    none (just cheese)        neither     No  no preference          Maybe  \n",
+       "1    none (just cheese)        neither     No  no preference          Maybe  \n",
+       "2    none (just cheese)        neither     No  no preference          Maybe  \n",
+       "3    none (just cheese)        neither     No  no preference          Maybe  \n",
+       "4    none (just cheese)        neither     No  no preference          Maybe  \n",
+       "..                  ...            ...    ...            ...            ...  \n",
+       "987            mushroom            cat     No     early bird             No  \n",
+       "988       basil/spinach        neither    Yes     early bird          Maybe  \n",
+       "989       basil/spinach            dog     No  no preference            Yes  \n",
+       "990  none (just cheese)            cat     No      night owl            Yes  \n",
+       "991           pineapple            dog     No      night owl          Maybe  \n",
+       "\n",
+       "[992 rows x 11 columns]"
+      ]
+     },
+     "execution_count": 46,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
-    "# TODO: Using pandas read \"cs220_survey_data.csv\" into a DataFrame called survey\n",
+    "# TODO: Using pandas to read \"cs220_survey_data.csv\" into a DataFrame called survey\n",
     "\n",
-    "survey = pd.read_csv(\"cs220_survey_data.csv\")"
+    "survey = pd.read_csv(\"cs220_survey_data.csv\")\n",
+    "survey"
    ]
   },
   {
@@ -1939,7 +2343,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 49,
+   "execution_count": 47,
    "metadata": {},
    "outputs": [
     {
@@ -1948,13 +2352,13 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 49,
+     "execution_count": 47,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
+      "image/png": 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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -1966,7 +2370,11 @@
     }
    ],
    "source": [
-    "age_counts = survey[\"Age\"].dropna().astype(int).value_counts()\n",
+    "age_counts = survey[\"Age\"].dropna().astype(int)\n",
+    "age_counts = list(age_counts)\n",
+    "age_counts = [age for age in age_counts if 0 <= age <= 100]\n",
+    "age_counts = Series(age_counts)\n",
+    "age_counts = age_counts.value_counts()\n",
     "age_counts = age_counts.sort_index()\n",
     "age_counts.plot.bar(color = \"k\")"
    ]
@@ -1980,7 +2388,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 50,
+   "execution_count": 48,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -1989,21 +2397,23 @@
     "FROM survey\n",
     "\"\"\", conn)\n",
     "\n",
-    "# If you repeat the bar plot with SQL version of the data, you will see what are called as \"MultiIndex\" - that is beyond the scope of this course"
+    "# If you repeat the bar plot with SQL version of the data, you will see what \n",
+    "# are called as \"MultiIndex\" - that is beyond the scope of this course"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Create a bar plot of primary majors.\n",
+    "### Create a bar plot of Majors.\n",
     "- x-axis: each major\n",
-    "- y-axis: count of students with those majors."
+    "- y-axis: count of students with those majors.\n",
+    "- represent top 10 major bars and then aggregate the remaining into \"other\" bar."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 51,
+   "execution_count": 49,
    "metadata": {},
    "outputs": [
     {
@@ -2012,13 +2422,13 @@
        "<AxesSubplot:>"
       ]
      },
-     "execution_count": 51,
+     "execution_count": 49,
      "metadata": {},
      "output_type": "execute_result"
     },
     {
      "data": {
-      "image/png": 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\n",
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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -2030,76 +2440,32 @@
     }
    ],
    "source": [
-    "major_counts = survey[\"Primary major\"].value_counts()\n",
-    "major_counts.plot.bar(color = \"k\")"
+    "major_counts = survey[\"Major\"].value_counts()\n",
+    "top_major_counts = major_counts.iloc[:10]\n",
+    "top_major_counts[\"other\"] = major_counts.iloc[10:].sum()\n",
+    "top_major_counts.plot.bar(color = \"k\")"
    ]
   },
   {
-   "cell_type": "code",
-   "execution_count": 52,
+   "cell_type": "markdown",
    "metadata": {},
-   "outputs": [],
    "source": [
-    "### Write equivalent SQL query to retrive the Primary major column values"
+    "### Write equivalent SQL query to retrive the Major column values"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 53,
+   "execution_count": 50,
    "metadata": {},
    "outputs": [],
    "source": [
     "ages = pd.read_sql(\"\"\"\n",
-    "SELECT `Primary major`\n",
+    "SELECT Major\n",
     "FROM survey\n",
     "\"\"\", conn)\n",
     "\n",
-    "# If you repeat the bar plot with SQL version of the data, you will see what are called as \"MultiIndex\" - that is beyond the scope of this course"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": [
-    "### Create a scatter plot to visualize the corelation between \"Age\" and \"Procrastinator\" columns\n",
-    "\n",
-    "- \"Procrastinator\" column has 3 values\n",
-    "- Create a single scatter plot\n",
-    "- You will find that there is absolutely no correlation."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 54,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "image/png": 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\n",
-      "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# Plot the sepal length vs the sepal width for each of the classes of flowers.\n",
-    "colors = [\"r\", \"g\", \"b\"]\n",
-    "markers = [\".\", \"^\", \"v\"]\n",
-    "\n",
-    "procrastination = list(set(survey[\"Procrastinator\"]))\n",
-    "\n",
-    "plot_area = None\n",
-    "for i in range(len(procrastination)):\n",
-    "    curr_procrastination = procrastination[i]\n",
-    "    specific_procrastination_data = survey[survey[\"Procrastinator\"] == curr_procrastination]\n",
-    "    plot_area = specific_procrastination_data.plot.scatter(x = \"Age\", y = 'Procrastinator', \\\n",
-    "                                    ax = plot_area, color = colors[i], marker = markers[i],\n",
-    "                                   label = curr_procrastination)"
+    "# If you repeat the bar plot with SQL version of the data, you will see what \n",
+    "# are called as \"MultiIndex\" - that is beyond the scope of this course"
    ]
   }
  ],
@@ -2119,7 +2485,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.7"
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,
diff --git a/f22/meena_lec_notes/lec-39/lec_39_plotting4_template.ipynb b/f22/meena_lec_notes/lec-39/lec_39_plotting4_template.ipynb
index 4c0ea881ccee61dc79787fac373d535e6ce44d50..504d81cb5ae2cd851d10e4d105784f8b63500a9a 100644
--- a/f22/meena_lec_notes/lec-39/lec_39_plotting4_template.ipynb
+++ b/f22/meena_lec_notes/lec-39/lec_39_plotting4_template.ipynb
@@ -1,25 +1,5 @@
 {
  "cells": [
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "# ignore this cell (it's just to make certain text red later, but you don't need to understand it).\n",
-    "from IPython.core.display import display, HTML\n",
-    "display(HTML('<style>em { color: red; }</style> <style>.container { width:100% !important; }</style>'))"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "%matplotlib inline"
-   ]
-  },
   {
    "cell_type": "code",
    "execution_count": null,
@@ -728,8 +708,7 @@
     "assert os.path.exists(path)\n",
     "conn = sqlite3.connect(path)\n",
     "\n",
-    "# TODO: determine the table name and column types\n",
-    "print(pd.read_sql(\"SELECT * FROM sqlite_master WHERE type = 'table'\", conn)[\"sql\"].iloc[0])"
+    "# TODO: determine the table name and column types\n"
    ]
   },
   {
@@ -738,8 +717,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# TODO: display all columns of the table\n",
-    "survey_data = pd.read_sql(\"SELECT * FROM survey\", conn)"
+    "# TODO: display all columns of the table\n"
    ]
   },
   {
@@ -748,9 +726,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# TODO: Using pandas read \"cs220_survey_data.csv\" into a DataFrame called survey\n",
-    "\n",
-    "survey = pd.read_csv(\"cs220_survey_data.csv\")"
+    "# TODO: Using pandas to read \"cs220_survey_data.csv\" into a DataFrame called survey\n"
    ]
   },
   {
@@ -772,11 +748,7 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "age_counts = survey[\"Age\"].dropna().astype(int).value_counts()\n",
-    "age_counts = age_counts.sort_index()\n",
-    "age_counts.plot.bar(color = \"k\")"
-   ]
+   "source": []
   },
   {
    "cell_type": "markdown",
@@ -791,21 +763,20 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "ages = pd.read_sql(\"\"\"\n",
-    "SELECT Age\n",
-    "FROM survey\n",
-    "\"\"\", conn)\n",
     "\n",
-    "# If you repeat the bar plot with SQL version of the data, you will see what are called as \"MultiIndex\" - that is beyond the scope of this course"
+    "\n",
+    "# If you repeat the bar plot with SQL version of the data, you will see \n",
+    "# what are called as \"MultiIndex\" - that is beyond the scope of this course"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Create a bar plot of primary majors.\n",
+    "### Create a bar plot of Majors.\n",
     "- x-axis: each major\n",
-    "- y-axis: count of students with those majors."
+    "- y-axis: count of students with those majors.\n",
+    "- represent top 10 major bars and then aggregate the remaining into \"other\" bar."
    ]
   },
   {
@@ -813,43 +784,13 @@
    "execution_count": null,
    "metadata": {},
    "outputs": [],
-   "source": [
-    "major_counts = survey[\"Primary major\"].value_counts()\n",
-    "major_counts.plot.bar(color = \"k\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "### Write equivalent SQL query to retrive the Primary major column values"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
-   "source": [
-    "ages = pd.read_sql(\"\"\"\n",
-    "SELECT `Primary major`\n",
-    "FROM survey\n",
-    "\"\"\", conn)\n",
-    "\n",
-    "# If you repeat the bar plot with SQL version of the data, you will see what are called as \"MultiIndex\" - that is beyond the scope of this course"
-   ]
+   "source": []
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Create a scatter plot to visualize the corelation between \"Age\" and \"Procrastinator\" columns\n",
-    "\n",
-    "- \"Procrastinator\" column has 3 values\n",
-    "- Create a single scatter plot\n",
-    "- You will find that there is absolutely no correlation."
+    "### Write equivalent SQL query to retrive the Major column values"
    ]
   },
   {
@@ -858,19 +799,10 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "# Plot the sepal length vs the sepal width for each of the classes of flowers.\n",
-    "colors = [\"r\", \"g\", \"b\"]\n",
-    "markers = [\".\", \"^\", \"v\"]\n",
     "\n",
-    "procrastination = list(set(survey[\"Procrastinator\"]))\n",
     "\n",
-    "plot_area = None\n",
-    "for i in range(len(procrastination)):\n",
-    "    curr_procrastination = procrastination[i]\n",
-    "    specific_procrastination_data = survey[survey[\"Procrastinator\"] == curr_procrastination]\n",
-    "    plot_area = specific_procrastination_data.plot.scatter(x = \"Age\", y = 'Procrastinator', \\\n",
-    "                                    ax = plot_area, color = colors[i], marker = markers[i],\n",
-    "                                   label = curr_procrastination)"
+    "# If you repeat the bar plot with SQL version of the data, you will see \n",
+    "# what are called as \"MultiIndex\" - that is beyond the scope of this course"
    ]
   }
  ],
@@ -890,7 +822,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.7"
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,