Missing value or junk value imputation with mean/median/mode is the very basic part of data cleaning [ Read This ], as these processes will give the accuracy up to a certain level. Also if mean/median/mode are applicable when our data is in some traditional format, but in most of the practical scenario it is not.[…]
Data cleaning is the most important part of data analysis and if we have missing values in our dataset, our task is going to be more tedious. If number of observations with missing values is <=5% we can simply delete those observations, but what if the number of observations are a lot? then we can’t[…]
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