How will you treat missing values during data analysis?

1.	How will you treat missing values during data analysis?
Answer» The impact of missing values can be known after IDENTIFYING what kind of VARIABLES have the missing values. If the data ANALYST finds any pattern in these missing values, then there are chances of finding meaningful insights. In case of patterns are not FOUND, then these missing values can either be IGNORED or can be replaced with default values such as mean, minimum, maximum, or median values. If the missing values belong to categorical variables, then they are assigned with default values. If the data has a normal distribution, then mean values are assigned to missing values. If 80% values are missing, then it depends on the analyst to either replace them with default values or drop the variables.

Answer»

The impact of missing values can be known after IDENTIFYING what kind of VARIABLES have the missing values.

If the data ANALYST finds any pattern in these missing values, then there are chances of finding meaningful insights.
In case of patterns are not FOUND, then these missing values can either be IGNORED or can be replaced with default values such as mean, minimum, maximum, or median values.
If the missing values belong to categorical variables, then they are assigned with default values. If the data has a normal distribution, then mean values are assigned to missing values.
If 80% values are missing, then it depends on the analyst to either replace them with default values or drop the variables.

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