Create Scatter_Plot_With_Trend_Line_Chat_effectiveness_User_satisfaction.py

Author: gularmehman

Scatter_Plot_With_Trend_Line_Chat_effectiveness_User_satisfaction.py

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+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+
+data = pd.read_csv('PEmpirical4.csv')
+data['Chat GPT effectiveness'] = pd.to_numeric(data['Chat GPT effectiveness'], errors='coerce')
+data['User satisfaction'] = pd.to_numeric(data['User satisfaction'], errors='coerce')
+data.dropna(subset=['Chat GPT effectiveness', 'User satisfaction'], inplace=True)
+
+plt.figure(figsize=(10, 6))
+sns.regplot(x='Chat GPT effectiveness', y='User satisfaction', data=data, scatter_kws={'alpha':0.5})
+
+
+plt.title('Scatter Plot with Trend Line: Chat GPT effectiveness vs. User satisfaction')
+plt.xlabel('Chat GPT effectiveness')
+plt.ylabel('User satisfaction')
+
+
+plt.savefig('Scatter_Plot_With_Trend_Line_Chat_effectiveness_User_satisfaction.png', dpi=300, bbox_inches='tight')
+plt.show()