Data analysis project on Steam store games Business Goal:
The objective of this project is to analyze Steam game data to understand the key factors that drive game success.
The analysis focuses on the following business goals:
- Identify the key factors that drive game success on Steam.
- Evaluate the impact of pricing on game performance.
- Understand the role of player engagement in game success.
"https://www.kaggle.com/datasets/nikdavis/steam-store-games
* I wanted to create a dataset from scratch based around games on the Steam Store. Using data gathered from the Steam Store and SteamSpy APIs, this dataset provides information about various aspects of games on the store, such as its genre and the estimated number of owners.
* Gathered around May 2019, it contains most games on the store released prior to that date. Unreleased titles were removed as well as many non-games like software, though some may have slipped through.
* Feel free to use this data however you wish. I created it to be used as part of my data science learning journey, tracking progress on my blog.
* Most of all, I hope you enjoy exploring this data. It's my first big data science project, and I wanted to make it about something fun and interesting. Feedback and suggestions are more than welcome.
* Combined data of 27,000 games scraped from Steam and SteamSpy APIs
* 6 csv files"
Tableau Link: https://public.tableau.com/shared/8PZTZ829C?:display_count=n&:origin=viz_share_link
Presentation Link (Canva): https://canva.link/lbn3ljjwpfijfqt