Objective: Visualise the PISA 2012 summary data in the best possible way.
Description: Data Analyst Nanodegree assignment. The PISA survey gathers a huge amount of data which you could devote a lifetime to analysing.
Data: My visualisation is an attempt to improve on the official key findings snapshot that can be found here (http://www.oecd.org/pisa/keyfindings/PISA-2012-results-snapshot-Volume-I-ENG.pdf). The data I used was a combination from three spreadsheets provided by PISA: summary data (http://dx.doi.org/10.1787/888932937035), reading additional data academic level (http://dx.doi.org/10.1787/888932935705) and science additional data academic level (http://dx.doi.org/10.1787/888932935724).
Process:
- Download, clean and reformat data using pisa_map.py, final formatted data in pisa_map_data.csv
- Download world_countries.json and check that the country names match those in my data