Redo OECD sample to conform to new schema guidelines

[kmoscoe]

You can see it in action at http://bullie.svl.corp.google.com:8080

Once you approve this, I will fix the DCP version as well.

[gemini-code-assist]

Summary of Changes

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This pull request updates the OECD sample data to ensure compliance with updated schema guidelines. The changes involve renaming key variables across CSV data files, configuration files, and the variables model configuration file to maintain consistency and improve semantic clarity.

Highlights

• Schema Compliance: Renamed variables and updated configuration files to align with new schema guidelines, specifically changing 'average_annual_wage' to 'Annual_Average_Wage' and 'gender_wage_gap' to 'Ratio_Average_Wages_To_Male_Average_Wages'.
• Data Normalization: Updated CSV data files and the variables.mcf file to reflect the new naming conventions and updated the statistical type for the gender wage gap to 'Ratio'.

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[gemini-code-assist]

Code Review

This pull request renames several variables and provenances across the dataset files to standardize the schema, such as renaming average_annual_wage to Annual_Average_Wage and gender_wage_gap to Ratio_Average_Wages_To_Male_Average_Wages. However, the feedback correctly identifies a critical mathematical inconsistency: the values in the CSV represent the percentage gap rather than a ratio, making the new DCID Ratio_Average_Wages_To_Male_Average_Wages misleading. Additionally, dcid:Ratio is pointed out as an invalid statType in Data Commons. It is recommended to revert the DCID to a name representing the wage gap (e.g., GenderWageGap) and remove the invalid statType.