This is a showcase of some basic data-cleaning steps in R, generating a more usable and readable dataset.
- Clean inconsisent data
- Create a table of the school types
- Detect and remove obvious outliers
- Use linear regression to interpolate missing data values
- Createa linear model and show how well it fits the data
- Show summary statistics
- Show the high school records that were missing GPA's with their predicted values