About Data Cleaning
Data cleaning is usually the first step in any data science project. It makes sense to transform the data into a consistent format before any further processing steps.
I am a pretty amateur data science student and I am working on a project where I compared two servers in a team based game but my two datasets are formatted differently from one another. One column for instance would be first blood, where one set of data stores this information as "blue_team_first_blood" and is stored as True or False where as the other stores it as just "first blood" and stores integers, (1 for blue team, 2 for red team, 0 for no one if applicable)
I feel like I can code around these difference but whats the best practice? should I take the extra step to make sure both data sets are formatted correctly or does it matter at all?