In: Statistics and Probability
In 2-3 paragraphs and on your own words, describe Missing data and how to deal with it
missing value means some values are not presents in data or variable,
if in your data have missing values then this is not reliable ,
* if incase Suppose the number of cases of missing values is extremely small ,you can drop easaly,In statistical language, if the number of the cases is less than 5% of the sample, then the you can drop them
*one of the anather way you can fulfil,In the case of multivariate analysis, if there is a larger number of missing values, then it can be better to drop those cases (rather than do imputation) and replace them,
Ussing mean median , Mode you can fil the missing values
*anther is if you have 80% to 90% missing observation in your variable then you can directly drop variable, if you drop missing value then corrosponding row can be deleted then your data come to small level of qauntity, and you could't fill properly value aso, so better way you can delete this variable.