Data-Cleaning-In-R

This is a showcase of some basic data-cleaning steps in R, generating a more usable and readable dataset.

Project Goals

• 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