Add pandas learning material

pandas/data/baseball14.csv

@@ -0,0 +1,17 @@
+playerID,yearID,stint,teamID,lgID,G,AB,R,H,2B,3B,HR,RBI,SB,CS,BB,SO,IBB,HBP,SH,SF,GIDP
+altuvjo01,2014,1,HOU,AL,158,660,85,225,47,3,7,59.0,56.0,9.0,36,53.0,7.0,5.0,1.0,5.0,20.0
+cartech02,2014,1,HOU,AL,145,507,68,115,21,1,37,88.0,5.0,2.0,56,182.0,6.0,5.0,0.0,4.0,12.0
+castrja01,2014,1,HOU,AL,126,465,43,103,21,2,14,56.0,1.0,0.0,34,151.0,1.0,9.0,1.0,3.0,11.0
+corpoca01,2014,1,HOU,AL,55,170,22,40,6,0,6,19.0,0.0,0.0,14,37.0,0.0,3.0,1.0,2.0,3.0
+dominma01,2014,1,HOU,AL,157,564,51,121,17,0,16,57.0,0.0,1.0,29,125.0,2.0,5.0,2.0,7.0,23.0
+fowlede01,2014,1,HOU,AL,116,434,61,120,21,4,8,35.0,11.0,4.0,66,108.0,2.0,3.0,1.0,1.0,6.0
+gonzama01,2014,1,HOU,AL,103,285,33,79,15,1,6,23.0,2.0,4.0,17,58.0,0.0,4.0,4.0,0.0,6.0
+grossro01,2014,1,HOU,AL,103,360,42,84,14,2,6,37.0,9.0,3.0,55,105.0,1.0,2.0,3.0,2.0,7.0
+guzmaje01,2014,1,HOU,AL,69,165,10,31,4,0,2,9.0,3.0,0.0,19,52.0,0.0,0.0,0.0,0.0,4.0
+hoeslj01,2014,1,HOU,AL,55,122,12,21,5,0,3,11.0,0.0,0.0,10,31.0,0.0,0.0,1.0,3.0,5.0
+krausma01,2014,1,HOU,AL,67,186,16,36,6,0,6,21.0,0.0,0.0,21,54.0,0.0,1.0,0.0,0.0,7.0
+marisja01,2014,2,HOU,AL,51,173,18,47,8,0,3,19.0,6.0,3.0,5,48.0,2.0,3.0,2.0,3.0,2.0
+preslal01,2014,1,HOU,AL,89,254,22,62,6,1,6,19.0,5.0,1.0,13,44.0,0.0,1.0,1.0,2.0,3.0
+singljo02,2014,1,HOU,AL,95,310,42,52,13,0,13,44.0,2.0,3.0,50,134.0,1.0,1.0,0.0,1.0,4.0
+springe01,2014,1,HOU,AL,78,295,45,68,8,1,20,51.0,5.0,2.0,39,114.0,4.0,9.0,0.0,2.0,4.0
+villajo01,2014,1,HOU,AL,87,263,31,55,13,2,7,27.0,17.0,4.0,19,80.0,1.0,2.0,4.0,1.0,4.0

pandas/data/baseball15.csv

@@ -0,0 +1,16 @@
+playerID,yearID,stint,teamID,lgID,G,AB,R,H,2B,3B,HR,RBI,SB,CS,BB,SO,IBB,HBP,SH,SF,GIDP
+altuvjo01,2015,1,HOU,AL,154,638,86,200,40,4,15,66.0,38.0,13.0,33,67.0,8.0,9.0,3.0,6.0,17.0
+cartech02,2015,1,HOU,AL,129,391,50,78,17,0,24,64.0,1.0,2.0,57,151.0,1.0,6.0,0.0,5.0,5.0
+castrja01,2015,1,HOU,AL,104,337,38,71,19,0,11,31.0,0.0,0.0,33,115.0,1.0,2.0,0.0,3.0,5.0
+congeha01,2015,1,HOU,AL,73,201,25,46,11,0,11,33.0,0.0,1.0,23,63.0,0.0,2.0,1.0,2.0,6.0
+correca01,2015,1,HOU,AL,99,387,52,108,22,1,22,68.0,14.0,4.0,40,78.0,2.0,1.0,0.0,4.0,10.0
+gattiev01,2015,1,HOU,AL,153,566,66,139,20,11,27,88.0,0.0,1.0,30,119.0,3.0,3.0,0.0,5.0,13.0
+gomezca01,2015,2,HOU,AL,41,149,19,36,9,0,4,13.0,10.0,3.0,8,31.0,1.0,2.0,3.0,1.0,1.0
+gonzama01,2015,1,HOU,AL,120,344,44,96,18,1,12,34.0,4.0,5.0,16,74.0,0.0,3.0,7.0,0.0,9.0
+lowrije01,2015,1,HOU,AL,69,230,35,51,14,0,9,30.0,1.0,0.0,28,43.0,5.0,3.0,0.0,2.0,3.0
+marisja01,2015,1,HOU,AL,133,339,46,80,15,4,9,36.0,24.0,9.0,18,105.0,0.0,5.0,6.0,4.0,2.0
+rasmuco01,2015,1,HOU,AL,137,432,67,103,23,2,25,61.0,2.0,1.0,47,154.0,0.0,2.0,1.0,3.0,6.0
+springe01,2015,1,HOU,AL,102,388,59,107,19,2,16,41.0,16.0,4.0,50,109.0,0.0,8.0,2.0,3.0,4.0
+tuckepr01,2015,1,HOU,AL,98,300,35,73,19,0,13,33.0,0.0,2.0,20,68.0,0.0,3.0,0.0,0.0,3.0
+valbulu01,2015,1,HOU,AL,132,434,62,97,18,0,25,56.0,1.0,0.0,50,106.0,1.0,6.0,0.0,3.0,13.0
+villajo01,2015,1,HOU,AL,53,116,18,33,7,1,2,11.0,7.0,2.0,10,29.0,0.0,0.0,1.0,1.0,3.0

pandas/data/baseball16.csv

@@ -0,0 +1,17 @@
+playerID,yearID,stint,teamID,lgID,G,AB,R,H,2B,3B,HR,RBI,SB,CS,BB,SO,IBB,HBP,SH,SF,GIDP
+altuvjo01,2016,1,HOU,AL,161,640,108,216,42,5,24,96.0,30.0,10.0,60,70.0,11.0,7.0,3.0,7.0,15.0
+bregmal01,2016,1,HOU,AL,49,201,31,53,13,3,8,34.0,2.0,0.0,15,52.0,0.0,0.0,0.0,1.0,1.0
+castrja01,2016,1,HOU,AL,113,329,41,69,16,3,11,32.0,2.0,1.0,45,123.0,0.0,1.0,1.0,0.0,9.0
+correca01,2016,1,HOU,AL,153,577,76,158,36,3,20,96.0,13.0,3.0,75,139.0,5.0,5.0,0.0,3.0,12.0
+gattiev01,2016,1,HOU,AL,128,447,58,112,19,0,32,72.0,2.0,1.0,43,127.0,6.0,4.0,0.0,5.0,12.0
+gomezca01,2016,1,HOU,AL,85,295,27,62,16,1,5,29.0,13.0,2.0,21,100.0,2.0,4.0,3.0,0.0,11.0
+gonzama01,2016,1,HOU,AL,141,484,55,123,26,3,13,51.0,12.0,6.0,22,118.0,1.0,5.0,6.0,1.0,16.0
+gourryu01,2016,1,HOU,AL,36,130,13,34,7,0,3,15.0,1.0,1.0,5,12.0,0.0,1.0,0.0,1.0,7.0
+kempto01,2016,1,HOU,AL,59,120,15,26,4,3,1,7.0,2.0,1.0,14,27.0,0.0,0.0,1.0,1.0,5.0
+marisja01,2016,1,HOU,AL,118,287,40,60,18,1,5,21.0,10.0,5.0,16,83.0,0.0,3.0,4.0,1.0,4.0
+rasmuco01,2016,1,HOU,AL,107,369,38,76,10,0,15,54.0,4.0,1.0,43,121.0,0.0,0.0,1.0,4.0,5.0
+reedaj01,2016,1,HOU,AL,45,122,11,20,3,0,3,8.0,0.0,0.0,18,48.0,0.0,0.0,0.0,1.0,1.0
+springe01,2016,1,HOU,AL,162,644,116,168,29,5,29,82.0,9.0,10.0,88,178.0,2.0,11.0,0.0,1.0,12.0
+tuckepr01,2016,1,HOU,AL,48,134,11,22,8,1,4,8.0,0.0,0.0,8,40.0,0.0,2.0,0.0,0.0,2.0
+valbulu01,2016,1,HOU,AL,90,292,38,76,17,1,13,40.0,1.0,1.0,44,81.0,2.0,1.0,3.0,2.0,5.0
+whitety01,2016,1,HOU,AL,86,249,24,54,16,0,8,28.0,1.0,0.0,23,65.0,1.0,2.0,0.0,2.0,6.0

pandas/data/college_data_dictionary.csv

@@ -0,0 +1,28 @@
+column_name,description
+INSTNM,Institution Name
+CITY,City Location
+STABBR,State Abbreviation
+HBCU,Historically Black College or University
+MENONLY,0/1 Men Only
+WOMENONLY,0/1 Women only
+RELAFFIL,0/1 Religious Affiliation
+SATVRMID,SAT Verbal Median
+SATMTMID,SAT Math Median
+DISTANCEONLY,Distance Education Only
+UGDS,Undergraduate Enrollment
+UGDS_WHITE,Percent Undergrad White
+UGDS_BLACK,Percent Undergrad Black
+UGDS_HISP,Percent Undergrad Hispanic
+UGDS_ASIAN,Percent Undergrad Asian
+UGDS_AIAN,Percent Undergrad American Indian/Alaskan Native
+UGDS_NHPI,Percent Undergrad Native Hawaiian/Pacific Islander
+UGDS_2MOR,Percent Undergrad 2 or more races
+UGDS_NRA,Percent Undergrad non-resident aliens
+UGDS_UNKN,Percent Undergrad race unknown
+PPTUG_EF,Percent Students part-time
+CURROPER,0/1 Currently Operating
+PCTPELL,Percent Students with Pell grant
+PCTFLOAN,Percent Students with federal loan
+UG25ABV,Percent Students Older than 25
+MD_EARN_WNE_P10,Median Earnings 10 years after enrollment
+GRAD_DEBT_MDN_SUPP,Median debt of completers

pandas/data/e1.csv

@@ -0,0 +1,5 @@
+A,B,C
+1,0,0
+1,1,0
+0,1,0
+0,0,1

pandas/data/e2.csv

@@ -0,0 +1,5 @@
+A,B,C,label
+1,0,0,A
+1,1,0,AB
+0,1,0,B
+0,0,1,C