Name: Global Video Game Sales
Creator: Kaggle
License: https://creativecommons.org/publicdomain/zero/1.0/

About this Dataset

Global Video Game Sales

Analyzing Platform-Genre Dynamics in the Top 100 Games

About this dataset

This dataset, sourced from vgchartz.com, offers a wealth of insights into the dynamics between platform and genre for the top 100 video games worldwide. Observe which platforms are driving global sales, what genres have been most successful in different regions across the world, and how both of these factors have changed over time. Analyze this data to inform your understanding of the gaming industry and discover trends propelling game developers to success!

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How to use the dataset

This dataset provides an excellent snapshot of the top 100-selling video games, along with their respective platforms, genres and publishers. By analyzing the data provided in this Kaggle dataset, it is possible to gain insights on the popularity of different gaming platforms and the most successful genres associated with those platforms. Additionally, one can also observe which publishers have achieved success in publications of multiple series or even single titles.

In order to begin making use of this dataset effectively, start by looking through each column and determining how it might be contributing useful information. This dataset contains 11 columns: rank (ranked from 1-100), name (name of title), platform (platform game was released for), year (year game was released), genre (genre classification for title), publisher (publisher responsible for release), NA_sales & EU_sales & JP_sales & other_sales (total fractions of sales worldwide by region) & global_sales(total fractional sales worldwide). These columns can be used to draw comparisons between various specific aspects or discover general trends about certain parts of the industry over a prolonged period of time.

Those wanting to understand more specifically how certain releases have performed over time should consider using graphs/charts to depict their findings; as diagramatic visual representations always make understanding easier while also providing insight that wouldn’t have been visible through raw data alone. To further narrow down your focus on subsets within subsets, implement crosstabs! Keywords are also incredibly helpful when sifting through large amounts - search queries allow you to find further info based on detailed parameters while restriction allows fine tuning these queries into very specific datasets you need in order to answer any given question properly!

Research Ideas

Probing the relationship between video game expenditure and user satisfaction to understand consumer behavior.

Examining the most popular platform-genre combinations in the top 100 games to inform game development decisions.

Acknowledgements

If you use this dataset in your research, please credit the original authors.
Data Source

License

License: CC0 1.0 Universal (CC0 1.0) - Public Domain Dedication
No Copyright - You can copy, modify, distribute and perform the work, even for commercial purposes, all without asking permission. See Other Information.

Columns

File: vgsales.csv

Column name	Description
Rank	Ranking of the game based on global sales. (Integer)
Name	Name of the game. (String)
Platform	Platform the game was released on. (String)
Year	Year the game was released. (Integer)
Genre	Genre of the game. (String)
Publisher	Publisher of the game. (String)
NA_Sales	Sales of the game in North America. (Float)
EU_Sales	Sales of the game in Europe. (Float)
JP_Sales	Sales of the game in Japan. (Float)
Other_Sales	Sales of the game in other regions. (Float)
Global_Sales	Total sales of the game worldwide. (Float)

Acknowledgements

If you use this dataset in your research, please credit the original authors.
If you use this dataset in your research, please credit .

Tables

Vgsales

@kaggle.thedevastator_global_video_game_sales.vgsales

470.91 KB
16598 rows
11 columns


CREATE TABLE vgsales (
  "rank" BIGINT,
  "name" VARCHAR,
  "platform" VARCHAR,
  "year" DOUBLE,
  "genre" VARCHAR,
  "publisher" VARCHAR,
  "na_sales" DOUBLE,
  "eu_sales" DOUBLE,
  "jp_sales" DOUBLE,
  "other_sales" DOUBLE,
  "global_sales" DOUBLE
);