Data Loading and Cleaning:

• The initial dataset (df1) contains information on the total population of various countries from 1960 to 2022.
• Unnecessary columns like 'Country Code', 'Indicator Name', and 'Indicator Code' were dropped to create a cleaner dataset (df2).

India's Population Overview:

• The script confirms the presence of data for India using the isin function, indicating that India is indeed present in the dataset.
• A subset of the dataset (cont) focusing on India's population over the years was extracted.

Population Visualization:

• The script generates a bar plot and a histogram to visualize India's population trend from 1960 to 2020.
• The bar plot shows a steady increase in population over the years.
• The histogram provides a distribution of population data, highlighting the most frequent population ranges.

Conclusion:

• The analysis reveals a consistent growth in India's population over the examined period.
• The visualizations offer a clear representation of the population dynamics, showcasing the overall trend and distribution.

Usage:

• Users can utilize this script to analyze population data for different countries by modifying the country names in the isin and subsequent filtering steps.
• The script can be a useful starting point for exploring and visualizing population trends using Pandas and Matplotlib.