The Program for International Student Assessment (PISA) is a system of international assessments that allows countries to compare outcomes of learning as students near the end of compulsory schooling. PISA core assessments measure the performance of 15-year-old students in mathematics, science, and reading literacy every 3 years.
This project is a data wrangling project, which mainly focus on fixing the data quality and tidiness issues using python. The dataset that I am wrangling is the tweet archive of Twitter user @dog_rates, also known as WeRateDogs.
A/B tests are very commonly performed by data analysts and data scientists. For this project, we will be working to understand the results of an A/B test run by an e-commerce website.
Gapminder datasets are being used to investigate the relationship between GDP/GNI per capita, standard of living, carbon footprint, healthcare and the importance of export in each country’s economy.