May 11, 2021
Data visualisation with the help of a case study. It enable us to understand how visualisation aids in solving business problems Data Handling and Cleaning Techniques Missing Values
Dropping the rows containing the missing values Imputing the missing values Keep the missing values if they don’t affect the analysis Incorrect Data Types
Clean certain values Clean and convert an entire column Sanity Checks: The data that we have needs to make sense and therefore we can perform certain sanity checks on them to ensure they are factually correct as well.