NITIIndiaPopulationProjection PR

[saanikaaa]

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[gemini-code-assist]

Summary of Changes

Hello @saanikaaa, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request integrates new statistical variable import configurations and data for India's population projections, sourced from NITI Aayog. It establishes the necessary mapping and metadata to ingest both general and urban population projection data, segmented by gender and state, into the system. This enhancement significantly expands the available demographic data for India, offering valuable insights into future population trends at a granular level for various analytical purposes.

Highlights

• New Data Import for NITI India Population Projections: This pull request introduces a comprehensive set of files to import population projection data for India from NITI Aayog. This includes both general and urban population figures.
• Detailed Population Data: The imported data provides population projections disaggregated by gender (Female, Male) and covers various Indian states and union territories, along with national aggregates.
• Structured Data Mapping: The import process is meticulously defined using PVMAP (Property-Value Map) files to map source data columns to standardized properties and values, ensuring data consistency.
• Template MCF (TMCF) for Data Transformation: TMCF files are included to specify how the raw input data is transformed and mapped into the target data model, including aggregation methods and variable definitions.
• Comprehensive Test Data: The pull request provides sample input CSVs and their corresponding expected output CSVs, facilitating verification and ensuring the correctness of the data ingestion pipeline.

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Code Review

This pull request adds new data import configurations and test files for NITI Aayog's India Population Projection data. The changes are generally good, but I've found a couple of issues in the property-value mapping (pvmap) files. Specifically, there are erroneous extra properties for gender mappings which could lead to incorrect data ingestion. I've provided suggestions to fix these. Additionally, there are some minor inconsistencies, such as a varying number of trailing commas in one of the pvmap files.