Skip to content

This was a data challenge I did as part of interview prep at Insight

License

Notifications You must be signed in to change notification settings

christopher-w-murphy/VideoGameSales

Repository files navigation

VideoGameSales

The was a data challenge I did as part of interview prep at Insight.

Goal

You work for a data science consulting company. A major video game production company has retained your firm to conduct market research into the video game industry. They've furnished you with video game sales data for the last thirty years (described below) and, as a first project, would like to know:

  • What are some major differences between the North American, European, and Japanese video game markets?
  • What video game genres are trending in each market?
  • What features about a video game are most indicative of its success?

The Data

This dataset contains a list of video games with sales greater than 100,000 copies.

Rank - Ranking of overall sales
Name - The games name
Platform - Platform of the games release (i.e. PC,PS4, etc.)
Year - Year of the game's release
Genre - Genre of the game
Publisher - Publisher of the game
NA_Sales - Sales in North America (in millions)
EU_Sales - Sales in Europe (in millions)
JP_Sales - Sales in Japan (in millions)
Other_Sales - Sales in the rest of the world (in millions)
Global_Sales - Total worldwide sales.

Lessons Learned

  • Breadth is more important than depth. Answer each question first before going in-depth on any one answer
  • Keep plots as simple as possible. A bar chart is better than a scatter plot, etc.

Files in this repo

  • vgsales.csv the data
  • VideoGameSales.ipynb my notebook as it was at the end of the 4 hour time limit
  • VideoGameSales.pdf the presentation I made based off of my original notebook
  • VideoGameSales_idealized.ipynb a notebook made after the fact showing how I would do things in retrospect

About

This was a data challenge I did as part of interview prep at Insight

Topics

Resources

License

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published