Add exercise dataset

exercise.csv

@@ -0,0 +1,91 @@
+,id,diet,pulse,time,kind
+0,1,low fat,85,1 min,rest
+1,1,low fat,85,15 min,rest
+2,1,low fat,88,30 min,rest
+3,2,low fat,90,1 min,rest
+4,2,low fat,92,15 min,rest
+5,2,low fat,93,30 min,rest
+6,3,low fat,97,1 min,rest
+7,3,low fat,97,15 min,rest
+8,3,low fat,94,30 min,rest
+9,4,low fat,80,1 min,rest
+10,4,low fat,82,15 min,rest
+11,4,low fat,83,30 min,rest
+12,5,low fat,91,1 min,rest
+13,5,low fat,92,15 min,rest
+14,5,low fat,91,30 min,rest
+15,6,no fat,83,1 min,rest
+16,6,no fat,83,15 min,rest
+17,6,no fat,84,30 min,rest
+18,7,no fat,87,1 min,rest
+19,7,no fat,88,15 min,rest
+20,7,no fat,90,30 min,rest
+21,8,no fat,92,1 min,rest
+22,8,no fat,94,15 min,rest
+23,8,no fat,95,30 min,rest
+24,9,no fat,97,1 min,rest
+25,9,no fat,99,15 min,rest
+26,9,no fat,96,30 min,rest
+27,10,no fat,100,1 min,rest
+28,10,no fat,97,15 min,rest
+29,10,no fat,100,30 min,rest
+30,11,low fat,86,1 min,walking
+31,11,low fat,86,15 min,walking
+32,11,low fat,84,30 min,walking
+33,12,low fat,93,1 min,walking
+34,12,low fat,103,15 min,walking
+35,12,low fat,104,30 min,walking
+36,13,low fat,90,1 min,walking
+37,13,low fat,92,15 min,walking
+38,13,low fat,93,30 min,walking
+39,14,low fat,95,1 min,walking
+40,14,low fat,96,15 min,walking
+41,14,low fat,100,30 min,walking
+42,15,low fat,89,1 min,walking
+43,15,low fat,96,15 min,walking
+44,15,low fat,95,30 min,walking
+45,16,no fat,84,1 min,walking
+46,16,no fat,86,15 min,walking
+47,16,no fat,89,30 min,walking
+48,17,no fat,103,1 min,walking
+49,17,no fat,109,15 min,walking
+50,17,no fat,90,30 min,walking
+51,18,no fat,92,1 min,walking
+52,18,no fat,96,15 min,walking
+53,18,no fat,101,30 min,walking
+54,19,no fat,97,1 min,walking
+55,19,no fat,98,15 min,walking
+56,19,no fat,100,30 min,walking
+57,20,no fat,102,1 min,walking
+58,20,no fat,104,15 min,walking
+59,20,no fat,103,30 min,walking
+60,21,low fat,93,1 min,running
+61,21,low fat,98,15 min,running
+62,21,low fat,110,30 min,running
+63,22,low fat,98,1 min,running
+64,22,low fat,104,15 min,running
+65,22,low fat,112,30 min,running
+66,23,low fat,98,1 min,running
+67,23,low fat,105,15 min,running
+68,23,low fat,99,30 min,running
+69,24,low fat,87,1 min,running
+70,24,low fat,132,15 min,running
+71,24,low fat,120,30 min,running
+72,25,low fat,94,1 min,running
+73,25,low fat,110,15 min,running
+74,25,low fat,116,30 min,running
+75,26,no fat,95,1 min,running
+76,26,no fat,126,15 min,running
+77,26,no fat,143,30 min,running
+78,27,no fat,100,1 min,running
+79,27,no fat,126,15 min,running
+80,27,no fat,140,30 min,running
+81,28,no fat,103,1 min,running
+82,28,no fat,124,15 min,running
+83,28,no fat,140,30 min,running
+84,29,no fat,94,1 min,running
+85,29,no fat,135,15 min,running
+86,29,no fat,130,30 min,running
+87,30,no fat,99,1 min,running
+88,30,no fat,111,15 min,running
+89,30,no fat,150,30 min,running

process/exercise.py

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+import pandas as pd
+
+
+def main():
+
+    df = pd.read_csv("raw/exercise.csv")
+    df["diet"] = df.diet.map({1: "low fat", 2: "no fat"})
+    df["kind"] = df.exertype.map({1: "rest", 2: "walking", 3: "running"})
+    df["time"] = df.time.map({1: "1 min", 2: "15 min", 3: "30 min"})
+    df = df.drop(["exertype"], axis=1)
+    df.to_csv("exercise.csv")
+
+if __name__ == "__main__":
+    main()

raw/exercise.csv

@@ -0,0 +1 @@
+id,diet,exertype,pulse,time1,1,1,85,11,1,1,85,21,1,1,88,32,1,1,90,12,1,1,92,22,1,1,93,33,1,1,97,13,1,1,97,23,1,1,94,34,1,1,80,14,1,1,82,24,1,1,83,35,1,1,91,15,1,1,92,25,1,1,91,36,2,1,83,16,2,1,83,26,2,1,84,37,2,1,87,17,2,1,88,27,2,1,90,38,2,1,92,18,2,1,94,28,2,1,95,39,2,1,97,19,2,1,99,29,2,1,96,310,2,1,100,110,2,1,97,210,2,1,100,311,1,2,86,111,1,2,86,211,1,2,84,312,1,2,93,112,1,2,103,212,1,2,104,313,1,2,90,113,1,2,92,213,1,2,93,314,1,2,95,114,1,2,96,214,1,2,100,315,1,2,89,115,1,2,96,215,1,2,95,316,2,2,84,116,2,2,86,216,2,2,89,317,2,2,103,117,2,2,109,217,2,2,90,318,2,2,92,118,2,2,96,218,2,2,101,319,2,2,97,119,2,2,98,219,2,2,100,320,2,2,102,120,2,2,104,220,2,2,103,321,1,3,93,121,1,3,98,221,1,3,110,322,1,3,98,122,1,3,104,222,1,3,112,323,1,3,98,123,1,3,105,223,1,3,99,324,1,3,87,124,1,3,132,224,1,3,120,325,1,3,94,125,1,3,110,225,1,3,116,326,2,3,95,126,2,3,126,226,2,3,143,327,2,3,100,127,2,3,126,227,2,3,140,328,2,3,103,128,2,3,124,228,2,3,140,329,2,3,94,129,2,3,135,229,2,3,130,330,2,3,99,130,2,3,111,230,2,3,150,3