image_output_1.png
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)

import seaborn as sns

df_profile = pd.read_csv('/kaggle/input/a360-internship-practice/Profile.csv')

df_location = pd.read_csv('/kaggle/input/a360-internship-practice/Location.csv')

df_content = pd.read_csv('/kaggle/input/a360-internship-practice/Content.csv')

df_rtypes = pd.read_csv('/kaggle/input/a360-internship-practice/ReactionTypes.csv')

df_react = pd.read_csv('/kaggle/input/a360-internship-practice/Reactions.csv')

df_react.isnull().sum()

df_react = df_react.dropna()

df_react_users = df_react.drop(['Unnamed: 0', 'Content ID', 'Type'], axis=1)

plt.figure(figsize=(10, 6), dpi=200)
sns.countplot(x='type_sentiment', data=df_react)
plt.xlabel('Reaction_Type')
plt.ylabel('Count')
plt.title('Number Of Diff Reactions')
plt.savefig('Number Of Diff Reactions2.jpeg')