How to handle Missing Values

First thing we have to do is to know about our data 

Is it Categorical Data or Numerical Data  or it's with Time Series Data ?

Categorical data's are weird to handle so let's start with that.

Categorical Data:

first plot the graph 

• Ignore these observations
• Replace with general average
• Replace with similar type of averages
• Build model to predict missing values