schools-and-poverty
A simple data cleaning, analysis and visualization exercise using R
- Impute or remove missing data
- Alter or remove outliers that don't make sense
Through visualizations and simple linear regression, consider the following:
- the relationship between test scores and free / reduced lunch programs
- the relationship between test scores and local poverty levels
- the pros and cons of using free / reduced lunch programs as a proxy for poverty