Ex. 1 Data Cleaning and Outlier Detection & Removal
AIM
To read the given data and perform data cleaning and save the cleaned data to a file.
Explanation
Data cleaning is the process of preparing data for analysis by removing or modifying data that is incorrect ,incompleted , irrelevant , duplicated or improperly formatted. Data cleaning is not simply about erasing data ,but rather finding a way to maximize datasets accuracy without necessarily deleting the information.