Charles

.virtual_documents/notebooks/Airline_Project1.ipynb

@@ -0,0 +1,45 @@
+import pandas as pd
+import numpy as np
+
+df=pd.read_csv('train.csv')
+df
+
+
+binary_change= {
+    'satisfied': 1,
+    'neutral or dissatisfied': 0,
+}
+
+df['satisfaction'] = df['satisfaction'].replace(binary_change)
+df.drop(columns=['Unnamed: 0'], inplace=True)
+
+
+df
+
+
+df['satisfaction'].value_counts()
+
+
+df['Customer Type'].value_counts()
+
+
+dfSatisfied=df[df['satisfaction'] == 1]
+dfDisatisfied=df[df['satisfaction'] == 0]
+
+
+
+
+
+dfSatisfied.describe()
+
+
+dfDisatisfied.describe()
+
+
+dfSatisfied
+
+
+dfDisatisfied
+
+
+

.virtual_documents/notebooks/Untitled.ipynb

@@ -0,0 +1,41 @@
+import pandas as pd
+import numpy as np
+
+df=pd.read_csv('train.csv')
+df
+
+
+binary_change= {
+    'satisfied': 1,
+    'neutral or dissatisfied': 0,
+}
+
+df['satisfaction'] = df['satisfaction'].replace(binary_change)
+
+
+
+
+
+df['satisfaction'].value_counts()
+
+
+df['Customer Type'].value_counts()
+
+
+dfSatisfied=df[df['satisfaction'] == 'satisfied']
+dfDisatisfied=df[df['satisfaction'] == 'neutral or dissatisfied']
+
+
+dfSatisfied.describe()
+
+
+dfDisatisfied.describe()
+
+
+dfSatisfied
+
+
+dfDisatisfied
+
+
+