text_html_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

data = pd.read_csv('../input/airline-passenger-satisfaction/airline_passenger_satisfaction.csv')

data.isnull().sum()

data.duplicated().sum()

data.columns

distplot_df=data.loc[:,['Age', 'Flight Distance',
       'Departure Delay', 'Arrival Delay', 'Departure and Arrival Time Convenience', 'Ease of Online Booking',
       'Check-in Service','Online Boarding','Gate Location','On-board Service']]

fig = plt.figure(figsize=(15, 20))
for i, column in enumerate(distplot_df.columns, 1):
    f=plt.subplot(5,2,i)
    sns.distplot(distplot_df[column], color="red",fit_kws={"color":"darkgreen"});

distplot_df = data.loc[:, ['Gate Location', 'On-board Service', 'Seat Comfort', 'Leg Room Service', 'Cleanliness', 'Food and Drink', 'In-flight Service', 'In-flight Wifi Service', 'In-flight Entertainment', 'Baggage Handling']]
fig = plt.figure(figsize=(15, 20))
for i, column in enumerate(distplot_df.columns, 1):
    f = plt.subplot(5, 2, i)
    sns.distplot(distplot_df[column], color='blue', fit_kws={'color': 'darkred'})