steam-analytics

We are exploring trends in Steam Games to learn what will be an ideal strategy for:

• Improving reach
• User retention and satisfaction with updates and seasonal updates
• User experience enhancement through Steam game data analysis
• Difficulty and price-to-profit analysis

The goal is to align the development and improvement of games with player preferences, ultimately improving user satisfaction, retention, and overall success on the Steam platform.

How to run the Webapp

First, create an environment and install all of the required packages (for e.g. with conda)

$ conda create --name steam --file requirements.txt

Then download the dataset games.csv from this link and put it inside the folder data

Then run the python file app.py and wait for a few seconds for the webapp to load on localhost and show all of the visualizations

$ python app.py