Transforming Automobile Data - Swetha Tiwari

This experiment is part of the EDX Data Essentials Course, where the data has been Ingested, joined from two sources and: 1. Deleted unnecessary and redundant columns. 2. Consolidated the number of categories of a categorical feature. 3. Treated missing values. 4. Removed duplicate rows. 5. Generated a calculated column using the 'Apply Math Operation'. 6. Visualized the outliers using a script in 'R'. 7. Located and treated outliers. 8. Scaled numeric values.