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From the excel sheets UN_Shr_projections and UN_Pop_projections, we are comparing Zero migration population to understand the patterns in HIC(High Income) and LIC(Low Income) groups.
Filters used:
Age = 15-19, 20-24
Sex = both

We now have Top 10 countries in both HIC and LIC groups and can make a comparison between them to understand the differences

  1. Top 5 HIC countries: USA, Russia, Japan, Great Britain, France
  2. Top 5 LIC countries: Congo, Uganda, Sudan, Afghanistan, Yemen

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Pull request overview

This PR adds data files to support a "Zero Migration Write Up" analysis comparing population patterns between High-Income Countries (HIC) and Low-Income Countries (LIC). The changes include three CSV data files and a modification to .gitignore to allow CSV files to be tracked in the repository.

Key changes:

  • Uncommented the *.csv exclusion in .gitignore to allow CSV files in the repository
  • Added ISO country code reference data for country name standardization
  • Added GDP projection data with income classifications (2025-2035)
  • Added historical GDP data (1996-2025)

Reviewed changes

Copilot reviewed 4 out of 16 changed files in this pull request and generated no comments.

File Description
.gitignore Modified to allow CSV files to be tracked in the repository
Team_Projects/wikipedia-iso-country-codes.csv ISO 3166 country code reference data with 247 countries
Team_Projects/gdp_melted_with_classification_final.csv GDP projections (2025-2035) with income classifications for analysis
Team_Projects/gdp_melted.csv Historical GDP data (1996-2025) for various countries and regions

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@agurvich agurvich left a comment

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Please put your content into a folder inside the team projects directory and restore the sample team directory

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5 participants