Update autopush nodejs goldens

[clincoln8]

No description provided.

[gemini-code-assist]

Summary of Changes

Hello @clincoln8, 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 updates the golden files used by the Node.js query differ. These changes are necessary to synchronize the expected output with recent data refreshes or minor adjustments in data generation logic, ensuring the system reflects the most current statistical information for Santa Clara County job categories and obesity prevalence.

Highlights

• Golden File Updates: The pull request primarily updates golden files for the Node.js query differ, specifically bar.json and map_rank.json.
• Santa Clara County Job Data Refresh: The bar.json file includes updated worker counts for various industries in Santa Clara County, a revised chart title reflecting 'Mar, 2025' data, and refreshed employment figures for cities within the county, including a new data point for September 2025.
• Obesity Prevalence Data Adjustment: The map_rank.json file contains minor adjustments to the 'Prevalence of Obesity' data for several years, including an updated highlight value for 2022.

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[gemini-code-assist]

Code Review

This pull request updates the golden files for the autopush nodejs query tests, reflecting new data from the backend service. My review focuses on improving the clarity and maintainability of this test data. I've identified a potential ambiguity in a chart title's date representation and suggested reducing the precision of floating-point numbers to enhance readability and reduce diff noise. These are suggestions to consider for the data generation process.

[gemini-code-assist]

The date format in the title has changed from a range (Jan, 2024 to Mar, 2024) to a single month (Mar, 2025). Given that the data source is BLS QCEW, which provides quarterly data, representing the data for a single month could be misleading. For clarity and accuracy, consider using a format that reflects the quarterly nature of the data, such as 'Q1 2025' or 'Jan 2025 - Mar 2025'.

[gemini-code-assist]

The floating-point values for 'Prevalence of Obesity' have a very high precision (up to 15 decimal places). This level of precision is likely not meaningful for this metric and can introduce noise in future diffs due to minor floating-point variations. Consider rounding these values to a more reasonable number of decimal places (e.g., 2 to 4) in the data generation process. This would improve readability and the stability of the golden files.