Preprocessing overview
Filtering allows us to do just that, FILTER our data output.
multiple filters can be combined to fine tune your desired output.
Boolean indexing:
Pandas allows you to filter data using boolean indexing.
You can create boolean conditions based on column values
to filter rows in a DataFrame.
String Method:
Pandas provides various string methods that can be used to filter
rows based on string conditions, such as ANY matchin critera contained within a string.
Inverse filters:
Instead of making multiple filter to include/exlude given criteria,
using an inverse operator(~) can simplify this process.
