Update vectorization script, added dirty_wellness csv

.gitignore

@@ -133,3 +133,6 @@ rsconnect/
 
 # datafest
 data_preparation/data/*.csv
+data_preparation/cleaned/games.csv
+data_preparation/cleaned/gps.csv
+data_preparation/cleaned/rpe.csv

data_preparation/vectorization_ex.py

@@ -1,28 +1,22 @@
 import pandas as pd
 
 # read in CSV
-df = pd.read_csv('cleaned/wellness.csv')
+df = pd.read_csv('cleaned/dirty_wellness.csv')
 
 
 def vectorize_mult(column, dictionary, file=None):
+    """
+    Handles vectorizing
+    :param column:
+    :param dictionary:
+    :param file:
+    :return:
+    """
     newCol = column + "Num"
     df[newCol] = df[column].map(dictionary)
     if file is not None:
         df.to_csv('cleaned/{}.csv'.format(file))
 
 
-vectorize_mult("USGMeasurement", {"No": 0, "Yes": 1}, "wellness")
-
-"""
-for i, value in df["TrainingReadiness"].iteritems():
-    if pd.notna(value):
-        value = value.split("%")[0]
-        value = float(value) * (1/100)
-        value = round(value, 2)
-        df.set_value(i, "TrainingReadinessNum", value)
-
-        print(value)
 
-
-df.to_csv('cleaned/{}.csv'.format("wellness"))
-"""
+vectorize_mult("USGMeasurement", {"No": 0, "Yes": 1}, "wellness")