me-shweta / india-germany-comparative-study

📊 Analyzing Socio-Demographic Trends in India and Germany through Data Analytics

🔗 Original Dataset Link : UN Population Dataset

📁 Final Project File: shweta_project_file.ipynb

• This file contains code snippets for analyzing socio-demographic trends in India and Germany through data analytics.

📄 Preprocessed Dataset

• Preprocessed dataset: India_Germany.csv
• The steps followed for preprocessing are documented in Preprocessing_steps.ipynb.

Project Overview

This project aims to analyze and compare socio-demographic trends between India and Germany. It involves preprocessing the dataset and conducting various visualizations such as line plots, histograms, and scatter plots to explore trends in population sex ratio, density, fertility rate, life expectancy, and more.

Some Dataset Columns

• Male Mortality before Age 60: Deaths under age 60 per 1,000 male live births.
• Female Mortality before Age 60: Deaths under age 60 per 1,000 female live births.
• Mortality between Age 15 and 50, both sexes: Deaths under age 50 per 1,000 alive at age 15.
• Male Mortality between Age 15 and 50: Deaths under age 50 per 1,000 males alive at age 15.
• Female Mortality between Age 15 and 50: Deaths under age 50 per 1,000 females alive at age 15.
• Mortality between Age 15 and 60, both sexes: Deaths under age 60 per 1,000 alive at age 15.
• Male Mortality between Age 15 and 60: Deaths under age 60 per 1,000 males alive at age 15.

Conclusion

By analyzing socio-demographic trends, this project provides insights into the differences and similarities between India and Germany. This analysis can be valuable for policymakers, researchers, and anyone interested in demographic trends.

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