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Prodigy InfoTech – Data Science Internship

Task 1: Population Data Visualization

📌 Objective

The objective of this task is to visualize the distribution of a categorical or continuous variable using a bar chart or histogram.
In this task, a bar chart is used to visualize the population distribution across the top 10 most populous countries in 2022.

📊 Dataset

  • Source: World Bank Population Data
  • File: API_SP.POP.TOTL_DS2_en_csv_v2_38144.csv
  • The dataset contains population data for countries across multiple years.
  • Aggregated regions and income groups were removed to ensure that only real country-level data was used.

🛠️ Tools & Technologies Used

  • Python
  • Pandas
  • Matplotlib
  • Google Colab
  • GitHub

📈 Visualization

  • Type: Bar Chart
  • Categorical Variable: Country
  • Continuous Variable: Population
  • Year Analyzed: 2022
  • The bar chart clearly compares the population sizes of the top 10 most populous countries.

📂 Project Structure

PRODIGY_DS_01/ │ ├── data/ │ └── API_SP.POP.TOTL_DS2_en_csv_v2_38144.csv │ ├── notebook/ │ └── task1_visualization.ipynb │ ├── output/ │ └── population_distribution_top10_2022.png │ ├── README.md └── requirements.txt

✅ Conclusion

This task successfully demonstrates the use of data visualization techniques to analyze population distribution. The bar chart provides clear insights into how population is distributed among the most populous countries, fulfilling the requirements of Task 1 of the Data Science Internship.