Programmatic data cleaning and analysis of the Steam games dataset — fuzzy matching publishers, calculating estimated revenue, and ranking top developers.
Clean-up and analyze the dataset completely programmatically, using API’s to download the dataset.
We’re also going to explore more analysis options in our previously used Python library pandas, plus others like numpy, kaggle and zipfile.
Since this showcase will be completely in Python, we’ll take a much more detailed approach to explain our code and logic
The full code notebook will contain comments regarding our process, but we want to provide additional context and a visual breakdown. Where necessary, output will be provided as captions!