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PRODIGY_DS_01

Welcome, In this task for my Data Science Internship at Prodigy Infotech, I performed Exploratory Data Analysis (EDA) on the world_population_dataset (2001-2022), with a focus on visualization to represent data distribution.

Tools Used

  • Jupyter Notebook
  • Numpy, Pandas
  • Matplotlib, Seaborn

EDA Process

  • Data Cleaning: Managed missing values, duplicates, and outliers.
  • Visualization: Created bar and stacked charts to clearly represent the distribution of key variables, providing crucial insights through visual interpretation.

Conclusion

Visualizations played a central role in uncovering patterns and trends, making this EDA a strong foundation for further exploration and data modeling.

Thank you for reviewing my submission!

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