In this practical, we will study in detail about data visualization and how to handle missing data.
1. In the first, you will have to select any database from appropriate source. You have to visualize the data and plot it by giving proper justification why you have selected particular visualization technique with detail explanation
Note:
1) Minimum five different visualization required.
2) Size of data must be more than 100.
2. You have to select dataset which has missing values/dataset. You have to either fill the data or drop the data by giving proper reasoning and also choose appropriate method to fill the data by giving proper justification.
You may use Python/R for this exercise
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