Necessary steps for assignment
- Read the csv file provided using pandas and display the first 5 entries
- Describe the data with all features.
- Find the total count of missing values for each feature.
- Display all the unique values from the 'DESCRIPTION’ column.
- Create a grouped table usin 'DESCRIPTION' as the grouping columns with the means of all the other columns.
- Generate a random sample of 10 rows from the data.
- Add a Feature called 'New_feature' to the new Dataset and Add Random float Values in between 0 and 1 using Numpy.
- Replace zero value of column 'OBJECTID' with mean value permanently.