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Summary of ChangesHello @zaeema-n, 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 focuses on enhancing the consistency and structure of the statistical data stored in JSON files. It systematically removes redundant 'Year' columns, standardizes various column names, and cleans up aggregated 'Total' entries that can be derived programmatically. These changes improve the clarity and usability of the raw data. Additionally, a new automation script is introduced to facilitate the ingestion process for multiple years, ensuring a more efficient and controlled data pipeline. Highlights
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Code Review
This pull request focuses on standardizing various data files by removing redundant 'Year' and 'Total' columns/rows, and harmonizing column names for better consistency. These are positive changes that improve data quality. A new script to automate data ingestion for multiple years is also a valuable addition. My review identifies a few critical issues where metadata (column_count) was not correctly updated to match the data changes, which could lead to processing errors. I also found one instance of a country name that does not follow the repository's standardization rules, and a bug in the new ingestion script that will cause it to fail. Addressing these points will ensure the data and scripts are accurate and robust.
| "storage_type": "tabular", | ||
| "dataset_name": "SLBFE registration by gender", | ||
| "column_count": 6, | ||
| "column_count": 5, |
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The column_count is incorrect. The corresponding data.json file was updated to have 2 columns ("Male", "Female"), but the column_count here is set to 5. It should be updated to 2 to match the data.
| "column_count": 5, | |
| "column_count": 2, |
| "storage_type": "tabular", | ||
| "dataset_name": "SLBFE registration by manpower level", | ||
| "column_count": 16, | ||
| "column_count": 15, |
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The column_count is incorrect. The corresponding data.json file was updated to have 14 columns after removing the "Year" and "Total" columns, but the column_count here is set to 15. It should be updated to 14 to reflect the actual number of columns.
| "column_count": 15, | |
| "column_count": 14, |
| "storage_type": "tabular", | ||
| "dataset_name": "Workers Remittances", | ||
| "column_count": 6, | ||
| "column_count": 5, |
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The column_count is incorrect. The corresponding data.json file was updated to have 4 columns after removing the "Year" and "Middle East as a % of total remittance" columns, but the column_count here is set to 5. It should be updated to 4.
| "column_count": 5, | |
| "column_count": 4, |
| REPO_ROOT="$(cd "$(dirname "${BASH_SOURCE[0]}")/.." && pwd)" | ||
| cd "$REPO_ROOT" | ||
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| for year in 2020 2021 2022 2023 2024 2025; do |
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The loop includes the year 2025, but there is no data for 2025 in the repository. The ingestion script will fail when it tries to access data/statistics/2025/data_hierarchy_2025.yaml because the file does not exist and the script is configured to exit on error (set -e). The loop should end at 2024 to prevent this failure.
| for year in 2020 2021 2022 2023 2024 2025; do | |
| for year in 2020 2021 2022 2023 2024; do |
| ["Papua New Guinea", 0, 11, 0, 3, 0, 1, 0, 0, 1, 0, 1, 0, 1], | ||
| ["Philippines", 0, 1, 0, 2, 0, 0, 0, 0, 2, 0, 1, 0, 1], | ||
| ["Qatar", 24, 441, 51, 4606, 438, 7, 137, 26, 315, 61, 682, 196, 2705], | ||
| ["Republic of Dominica", 0, 11, 0, 2, 0, 0, 0, 0, 3, 0, 0, 0, 0], |
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The country name "Republic of Dominica" should be standardized to "Dominica" to maintain consistency across datasets, as per the repository's general rules.
| ["Republic of Dominica", 0, 11, 0, 2, 0, 0, 0, 0, 3, 0, 0, 0, 0], | |
| ["Dominica", 0, 11, 0, 2, 0, 0, 0, 0, 3, 0, 0, 0, 0], |
References
- Standardize country names across datasets to avoid confusion between similarly named countries. For example, "Republic of Dominican" should be standardized to "Dominican Republic", and "Republic of Dominica" should be standardized to "Dominica".
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