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Summary of Changes

Hello @vishalworkdatacommon, 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 establishes a new, fully automated data import for national college admissions and enrollment figures from the IPEDS database. The changes introduce a robust pipeline capable of downloading raw data, processing it through a statistical variable processor, and generating ready-to-ingest artifacts. This ensures up-to-date and consistent data availability for a wide range of academic years.

Highlights

  • New Data Import: Introduced a new automated import for national-level college admissions and enrollment data from the Integrated Postsecondary Education Data System (IPEDS).
  • Comprehensive Data Coverage: The import covers academic years from 2014-15 up to 2023-24, providing a decade of historical data.
  • Automated Pipeline: Implemented an automated pipeline using download_script.py for data acquisition and stat_var_processor.py for preprocessing and artifact generation, configured for regular refreshes.
  • Detailed Documentation: A new README.md file provides a comprehensive overview of the import, including preprocessing steps, autorefresh details, and instructions for manual execution.

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Code Review

This pull request adds a new automated import for College Admissions data from IPEDS. The changes are well-structured, including documentation, configuration files, processing scripts, and test data.

My review focuses on improving maintainability and consistency. I've identified several areas with code/config duplication in manifest.json and the pv_map files, which could be consolidated. There are also some inconsistencies between the manual run.sh script and the automated configuration in manifest.json that should be addressed. Finally, I've pointed out a few typos in the README.md file.

Comment on lines 12 to 21
"../../tools/statvar_importer/stat_var_processor.py --existing_statvar_mcf=admissions_stat_vars_common.mcf --input_data=input_files/college_admissions_2014.csv --pv_map=pv_map/college_admissions_ipeds_pv_map_2014.csv --config_file=college_admissions_ipeds_metadata.csv --output_path=output_files/admissions_output_2014",
"../../tools/statvar_importer/stat_var_processor.py --existing_statvar_mcf=admissions_stat_vars_common.mcf --input_data=input_files/college_admissions_2015.csv --pv_map=pv_map/college_admissions_ipeds_pv_map_2015.csv --config_file=college_admissions_ipeds_metadata.csv --output_path=output_files/admissions_output_2015",
"../../tools/statvar_importer/stat_var_processor.py --existing_statvar_mcf=admissions_stat_vars_common.mcf --input_data=input_files/college_admissions_2016.csv --pv_map=pv_map/college_admissions_ipeds_pv_map_2016.csv --config_file=college_admissions_ipeds_metadata.csv --output_path=output_files/admissions_output_2016",
"../../tools/statvar_importer/stat_var_processor.py --existing_statvar_mcf=admissions_stat_vars_common.mcf --input_data=input_files/college_admissions_2017.csv --pv_map=pv_map/college_admissions_ipeds_pv_map_2017.csv --config_file=college_admissions_ipeds_metadata.csv --output_path=output_files/admissions_output_2017",
"../../tools/statvar_importer/stat_var_processor.py --existing_statvar_mcf=admissions_stat_vars_common.mcf --input_data=input_files/college_admissions_2018.csv --pv_map=pv_map/college_admissions_ipeds_pv_map_2018.csv --config_file=college_admissions_ipeds_metadata.csv --output_path=output_files/admissions_output_2018",
"../../tools/statvar_importer/stat_var_processor.py --existing_statvar_mcf=admissions_stat_vars_common.mcf --input_data=input_files/college_admissions_2019.csv --pv_map=pv_map/college_admissions_ipeds_pv_map_2019.csv --config_file=college_admissions_ipeds_metadata.csv --output_path=output_files/admissions_output_2019",
"../../tools/statvar_importer/stat_var_processor.py --existing_statvar_mcf=admissions_stat_vars_common.mcf --input_data=input_files/college_admissions_2020.csv --pv_map=pv_map/college_admissions_ipeds_pv_map_2020.csv --config_file=college_admissions_ipeds_metadata.csv --output_path=output_files/admissions_output_2020",
"../../tools/statvar_importer/stat_var_processor.py --existing_statvar_mcf=admissions_stat_vars_common.mcf --input_data=input_files/college_admissions_2021.csv --pv_map=pv_map/college_admissions_ipeds_pv_map_2021.csv --config_file=college_admissions_ipeds_metadata.csv --output_path=output_files/admissions_output_2021",
"../../tools/statvar_importer/stat_var_processor.py --existing_statvar_mcf=admissions_stat_vars_common.mcf --input_data=input_files/college_admissions_2022.csv --pv_map=pv_map/college_admissions_ipeds_pv_map_2022.csv --config_file=college_admissions_ipeds_metadata.csv --output_path=output_files/admissions_output_2022",
"../../tools/statvar_importer/stat_var_processor.py --existing_statvar_mcf=admissions_stat_vars_common.mcf --input_data=input_files/college_admissions_2023.csv --pv_map=pv_map/college_admissions_ipeds_pv_map_2023.csv --config_file=college_admissions_ipeds_metadata.csv --output_path=output_files/admissions_output_2023"
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medium

The scripts array contains many repetitive calls to stat_var_processor.py. This violates the DRY (Don't Repeat Yourself) principle and makes the manifest harder to maintain when adding new years. Consider creating a Python script that loops through the years (similar to run.sh) and calling that single script from here. This would simplify the manifest significantly.

"provenance_description": "Data on student applications, admissions, and enrollment for postsecondary institutions across the United States.",
"scripts": [
"download_script.py",
"../../tools/statvar_importer/stat_var_processor.py --existing_statvar_mcf=admissions_stat_vars_common.mcf --input_data=input_files/college_admissions_2014.csv --pv_map=pv_map/college_admissions_ipeds_pv_map_2014.csv --config_file=college_admissions_ipeds_metadata.csv --output_path=output_files/admissions_output_2014",
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admissions_stat_vars_common.mcf file is missing

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addressed.

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