Download data for any state: https://openpolicing.stanford.edu/

Preparing the data

We need to know how’s our data look like and clean up the data before we start to analyse any data.

Also we need to check the data type of each column.

isnull is same as isna.

Creating a Datetime Index

str.cat is a method to concatenate two column into one, in this case combine the data and time

https://pandas.pydata.org/docs/reference/api/pandas.Series.str.cat.html

Start analyse

1. Do the genders commit different violations?

2.Does gender affect who gets a ticket for speeding?

3.Does gender affect whose vehicle is searched?

4.Does time of day affect arrest rate?

5.Are drug-related stops on the rise?

If you trying to get the statistic value from a period of time, resample can help.

https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.resample.html