image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

app_data = pd.read_csv('../input/googleplaystore.csv')

app_data.isnull().sum()

app_data = app_data.sort_values(by='Installs', ascending=False)

app_data = app_data.sort_values(by='Installs')

nan_rows = list(app_data[app_data['Rating'].isna()].index)
nan_rows.append(10472)
app_data = app_data.drop(nan_rows, axis=0)
app_data = app_data.drop(columns=['Size', 'Current Ver', 'Android Ver'])
app_data = app_data.sort_values(by='Installs', ascending=False)

plt.figure(figsize=(13, 8))
app_data['Installs'].value_counts().plot(kind='bar')
plt.title('Count of Popular Apps in our Dataset')
plt.ylabel('Count')
plt.xlabel('Installs')
plt.show()