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Ice Games - Sales Campaign Analysis

Table of contents

General description:

The project is analyzing Ice Games' sales throughout their lifetime in order to plan the next marketing campaign, as well as spotting and profiling potentially top-selling games.

The project was made as part of the Yandex.Practicum's Data Analytics course.

Ice Games is an online store, which sells video games all over the world.

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Used Technology:

Python Version: 3.9.12
Packages: pandas (1.4.2), numpy (1.21.5), scipy, matplotlib, seaborn, plotly, random

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The Dataset's Description

The data analyzed in this report, i.e. the games.csv file in the repo, describes the sales data of all recorded Ice Games' releases from the year of $1980$ up to $2016$, including the sales numbers on the top 3 target markets (i.e. 1North America, 2Europe, and 3Japan) as well as the rest of the world sales volume.

The data's rows each represent a single game, stating each unique game's following parameters:

  • Release year.
  • Genre of the game.
  • Released platform.
    ✲ Some games got released on several platforms, and hence were represented in multiple rows.
  • ESRB age rating.
    ✲ ESRB stands for the "Entertainment Software Rating Board" - which evaluates a game's content and assigns an age rating such as Teen or Mature.
  • Users & critics scores from reviews.
Disclaimer Note: User and expert reviews, genres, platforms (e.g. Xbox or PlayStation), and historical data on game sales are available from open sources.
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