Game Sales Data Visualisation

Date: 14/03/2024

Table of Content

Introduction

This dashboard was created using Looker Studio showing data from asaniczka Kaggle dataset. Dataset includes data originally listed on the VGChartz website. It contains around 40000 unique titles. It also has data about publisher, developer, and region based sales of these titles.

 

Title photo taken by Lorenzo Herrera.

Dashboard

The dashboard below features two pages. The first page showcases interactive charts displaying the Top 10 game titles by sales in a bar chart, the Top 10 developers by sales in another bar chart, and the distribution of the Top 10 most popular game genres in a pie chart. To change the page navigate to the bottom left corner of the dahsboard and click either ‘Next page’ arrow or ‘Page 1’ text.

 

Page 1

These charts offer interactivity, allowing users to select specific developers from the bar chart or genres from the pie chart. Upon selection, the entire page updates dynamically to provide tailored insights. User can also select multiple variables by holding ‘Ctrl’ button and choosing required data.

 

Page 2

This page shows bar chart and table representing Sales distribution by genre and region. Unlike the first page, this one is not interactible. However, it still provides valuable insight in the game genres distributions.

Limitations

The main limitation is data. There are a lot of missing data in variables like ‘Critics score’ that were not used in these visualisations. However, more important issue is the quality of data. While VGChartz has been recirding data for a long time, from 2018 they no longer produces estimates for software sales. Their reasoning is that because the high digital market share for software was making it both more difficult to produce reliable retail estimates and also making those estimates increasingly unrepresentative of the wider performance of the games in question. So, for software sale data they rely on other resources.

 

Therefore, it can be considered unreliable to use this data for creating models. That is also why it was decided to use this data for visualisation. While it may not be the most acccurate it still can provide a basic overview of the gaming industry (excluding mobile) sales data.