zhaofeng-hall/PISA_2018_Analysis

PISA 2018 Analysis is my individual project during my study at Hyper Island.

PISA_2018_Analysis

PISA 2018 Analysis is my individual project during my study at Hyper Island. This project is to investigate the education equality by utilising open data from OECD PISA.

Installation

Install jupyter notebook (please see https://jupyter.org/install for the details)

Required libraries

pip install pandas
pip install numpy
pip install matplotlib
pip install seaborn
pip install sas7bdat-converter
pip install geopy
conda install geopandas

Dataset

• PISA 2018 results https://www.oecd.org/pisa/publications/pisa-2018-results.htm
• School questionnaire data file https://webfs.oecd.org/pisa2018/SAS_SCH_QQQ.zip
• Country Classifications by Income https://datatopics.worldbank.org/world-development-indicators/the-world-by-income-and-region.html

To run the Jupyter Notebook, you need to unzip the SCH.zip to read the datasets.

Dictionary

PISA2018_CODEBOOK https://webfs.oecd.org/pisa2018/PISA2018_CODEBOOK.xlsx

Run

git clone https://github.com/zhaofeng-hall/PISA_2018_Analysis
cd PISA_2018_Analysis

Final deliverable

The leaning PISA -- Educational inequality across the world