text_plain_output_1.png image_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'})