Data Science, Python, Data Analysis, Data Analytics, Data.
Visualization # Data visualization with Pandas import matplotlib.pyplot as plt df.plot(kind='bar', x='Name', y='Salary', title='Salary Distribution') plt.show() 2.12 Apply Function # Applying a custom function to a column df['Salary'] = df['Salary'].apply(lambda x: x + 5000) 2.13 Value Counts #