text_plain_output_1.png
import matplotlib.pyplot as plt

import pandas as pd

import seaborn as sns

data = pd.read_csv('../input/mondaq_data_adeel.csv', header=None)

columns = ['article_id', 'knt', 'unknt', 'her_knt', 'unher_knt', 'company_id', 'company_name', 'country_id', 'country_desc', 'primary_topic_id', 'topic_desc', 'article_start_date', 'daysold', 'topics', 'coauthors', 'linkedinphoto', 'title', 'body']

data.columns = columns

plt.figure(figsize=(6, 4))
ax = sns.countplot(x='country_desc', data=data)
ax.set_xticklabels(ax.get_xticklabels(), rotation=40, ha='right')
plt.tight_layout()
plt.show()