Today, I started working with a dataset about police shootings. My job is to clean up the data, which means I checked for any missing or incomplete information. I found some gaps in important details like names, what the person was carrying, their age, gender, race, and where they were trying to go. For the simpler details, I just marked them as ‘unknown’. But for key information like where the incident happened and how old the person was, I had to be careful. I took out any records that didn’t have a location, and for age, I used the most common age in the dataset to fill in the blanks. Now that the data is cleaned up, I’m ready to dig deeper into the analysis.