Economic inequality indicators for all available PISA waves (2000 to 2015 every three years) 8000
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Updated
Jun 14, 2017 - R
8000
Economic inequality indicators for all available PISA waves (2000 to 2015 every three years) 8000
This repository is designed not only to present research results but also to serve as a practical example for sociologists and data analysts using R. By exploring the code, you can learn how to create composite indices, visualize complex data with ggplot2, handle missing data professionally.
R package for international educational survey data sets such as PISA, TIMMS etc. User's guide: https://naep-research.airprojects.org/Portals/0/EdSurvey_A_Users_Guide/_book/index.html
🎓 An unsupervised learning project analyzing PISA 2018 data for Finland. Uses PCA and K-Means in R to identify and profile distinct student clusters. Developed for the ULM course at ISCTE.
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