text_plain_output_2.png application_vnd.jupyter.stderr_output_1.png image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

df = pd.read_csv('../input/top-indian-colleges/College_data.csv')

df.dtypes

df.isnull().sum()

import seaborn as sns
import matplotlib.pyplot as plt
plt.figure(figsize=(10, 5))
sns.barplot(x=df.columns, y=df.isnull().sum() / len(df))
plt.xticks(rotation=90)
plt.show()