text_plain_output_1.png
import pandas as pd

import seaborn as sns

airline_data = pd.read_csv('../input/airline-passenger-satisfaction/airline_passenger_satisfaction.csv')
data_dic = pd.read_csv('../input/airline-passenger-satisfaction/data_dictionary.csv')

airline_data.shape

airline_data.isnull().sum()

airline_data.duplicated().sum()

des = airline_data.describe()
d = des.iloc[[1,5],:]
d.style.background_gradient(cmap='viridis')

# YELLOW represent the MAX.

airline_data.nunique()

airline_data.columns

airline_data.isnull().sum()