Welcome to my submission for Task 1 of the Data Science Internship at Prodigy Infotech. In this task, I have conducted Exploratory Data Analysis (EDA) on the world_population_dataset, focusing on creating visualizations to represent the distribution of a categorical or continuous variable.

Dataset

The dataset used for this task is world_population_dataset, encompassing population records from 2001 to 2022.

Tools and Libraries Used

• Google Colab
• Pandas
• NumPy
• Matplotlib & Seaborn for visualization

Exploratory Data Analysis (EDA)

During the EDA process, I undertook the following steps:

• Data Cleaning: Checked for missing values, duplicates, and outliers in the dataset, addressing them as needed.
• Visualization: Created bar charts and stacked charts to visually explore the distribution of variables across different categories or years.

Highlights of the Task:

Ranking of countries by male and female populations in 2022.

Countries with the lowest male and female populations in 2022.

Conclusion

This EDA process has yielded valuable insights into the dataset, providing a foundation for further exploration and modeling tasks in the data science workflow.

Thank you for reviewing my submission!