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global/pisa/PISA_README.md ADDED
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+ # PISA Data - Programme for International Student Assessment
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+
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+ ## Overview
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+ This directory contains processed PISA (Programme for International Student Assessment) data from 2006-2022, optimized for research and analysis.
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+
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+ ## Structure
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+ - `trend_analysis/` - Multi-year trend analysis datasets
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+ - `spain_trends/` - Spain-specific trend data
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+ - `processing_metadata.json` - Processing metadata and variable information
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+
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+ ## Data Description
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+ - **Source**: OECD PISA Programme
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+ - **Years**: 2006, 2009, 2012, 2015, 2018, 2022
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+ - **Format**: Parquet files for optimal performance
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+ - **Key Variables**: Academic performance, socioeconomic status, study habits, motivation
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+
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+ ## Usage
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+ The processed data is ready for analysis with modern data science tools (Polars, Pandas, etc.).
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+
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+ ## Citation
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+ If you use this data in your research, please cite:
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+ - OECD (2023), Programme for International Student Assessment (PISA)
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+ - This processed dataset: `victoriano/social-sciences-microdata`
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+
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+ ## Processing Details
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+ Data was processed using the young-lazy-people analysis framework:
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+ - Standardized variable names across years
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+ - Unified country codes and identifiers
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+ - Optimized data types for analysis
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+ - Spain-specific trend extraction
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+
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+ ## License
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+ This processed data follows the OECD PISA data usage guidelines.
global/pisa/processing_metadata.json ADDED
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+ {
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+ "processing_date": "2025-07-03T23:21:43.275322",
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+ "processed_years": [
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+ 2015,
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+ 2018,
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+ 2022
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+ ],
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+ "file_formats": {
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+ "2015": "sav",
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+ "2018": "sav",
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+ "2022": "sav"
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+ },
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+ "key_variables": {
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+ "student_id": [
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+ "CNTSTUID",
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+ "STIDSTD",
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+ "STUID",
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+ "STDID",
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+ "StIDStd"
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+ ],
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+ "country": [
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+ "CNT",
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+ "CNTRYID",
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+ "COUNTRY"
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+ ],
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+ "school_id": [
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+ "CNTSCHID",
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+ "SCHOOLID",
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+ "SCHID",
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+ "SCID"
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+ ],
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+ "gender": [
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+ "ST004D01T",
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+ "ST04Q01",
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+ "ST003D01T"
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+ ],
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+ "age": [
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+ "AGE",
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+ "ST003Q02TA",
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+ "ST003D02T"
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+ ],
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+ "grade": [
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+ "ST001D01T",
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+ "ST01Q01"
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+ ],
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+ "escs": [
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+ "ESCS"
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+ ],
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+ "wealth": [
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+ "WEALTH"
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+ ],
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+ "cultural": [
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+ "CULTPOSS"
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+ ],
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+ "homework_time": [
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+ "TMINS",
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+ "ST057Q01TA",
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+ "ST57Q01",
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+ "ST046Q01TA"
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+ ],
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+ "motivation": [
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+ "MOTIVAT",
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+ "MOTIVA"
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+ ],
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+ "belong": [
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+ "BELONG"
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+ ],
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+ "perseverance": [
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+ "PERSEV",
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+ "GRIT"
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+ ],
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+ "math_score": [
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+ "PV1MATH",
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+ "PV2MATH",
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+ "PV3MATH",
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+ "PV4MATH",
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+ "PV5MATH"
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+ ],
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+ "read_score": [
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+ "PV1READ",
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+ "PV2READ",
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+ "PV3READ",
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+ "PV4READ",
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+ "PV5READ"
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+ ],
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+ "science_score": [
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+ "PV1SCIE",
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+ "PV2SCIE",
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+ "PV3SCIE",
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+ "PV4SCIE",
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+ "PV5SCIE"
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+ ]
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+ },
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+ "output_files": {
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+ "combined_international": "trend_analysis/pisa_combined_2006_2022.parquet",
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+ "spain_trends": "spain_trends/spain_trends_2006_2022.parquet",
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+ "spain_summary": "spain_trends/spain_summary_by_year.csv"
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+ },
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+ "notes": {
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+ "harmonization": "Variables harmonized across years using key_variables mapping",
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+ "spain_filtering": "Spain identified using country codes: ESP, ES, 724",
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+ "missing_data": "Missing values preserved as null/NaN in Parquet format",
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+ "optimization": "Uses column selection and Polars for efficient processing"
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+ }
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+ }
global/pisa/spain_trends/spain_summary_by_year.csv ADDED
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+ pisa_year,student_count,avg_homework_minutes,avg_math_score,avg_socioeconomic_status
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+ 2015,6736,1701.6861807387863,490.4381687945368,-0.4491393381251871
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+ 2018,35943,1712.6643448966586,490.69067637648493,-0.04343081326154719
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+ 2022,30800,,480.9150405844156,0.02354851254722072
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+ size 1729055
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