image_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

df_district = pd.read_csv('../input/learnplatform-covid19-impact-on-digital-learning/districts_info.csv')

df_district.isnull().sum()

df_district.columns

df_district.shape

df_district.dtypes

df_district = df_district.drop_duplicates()

plt.xticks(rotation=60)

fig, ax  = plt.subplots(figsize=(12, 6))
fig.suptitle('Locale Distribution', size = 20)
explode = (0.04, 0.04, 0.04, 0.04)
labels = list(df_district.locale.value_counts().index)
sizes = df_district.locale.value_counts().values
ax.pie(sizes, explode=explode,startangle=60, labels=labels, shadow= True)
ax.add_artist(plt.Circle((0,0),0.4,fc='white'))
plt.show()

sns.countplot(data=df_district, x='pct_black/hispanic')
plt.show()