🔎 About:
This dataset was created for a comprehensive analysis of gaming platforms, user behavior, and pricing trends. It brings together real-world data from Steam, PlayStation, and Xbox, allowing researchers, analysts, and developers to explore player activity, game popularity, and price dynamics. The dataset enables insights into game market trends

⁉️ Why This Dataset?
* Real-World Data (~60GB) - Collected from Steam, PlayStation, and Xbox for authentic insights * Comprehensive & Multi-Dimensional - Covers user activity, rankings, price changes, and historical data * Regularly Updated - Ensuring freshness and relevance for ongoing analysis * Perfect for Learning & Research - Ideal for machine learning, statistics, and data visualization projects * Well-Documented & Open Source - Facilitates easy integration and reproducibility

📢 Note:
The complete database and source code can be found in the project repository GitHub - GameStatsHub (~60GB)

Destiny 2 player activity dataset from MMO Populations, combining monthly enhanced players and 30-day daily estimates generated from public signals.

About Xbox Games Pass :

Xbox Games Pass gives you access to well over 300 games to download and play on your Xbox One or Xbox Series X/S for one monthly fee. If you upgrade to Xbox Game Pass Ultimate, you also get Xbox Live Gold, PC Game Pass, EA Play and access to Xbox Cloud Gaming, all for the same price.

About the dataset :

This dataset contains the list of every game present on the service.

Tasks

Perform Exploratory Data Analysis

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Sea of Thieves player activity dataset from MMO Populations, combining monthly enhanced players and 30-day daily estimates generated from public signals.

Global Video Game Sales and Reviews

Global Video Game Performance: Sales, Reviews, and Rankings

By Andy Bramwell [source]

About this dataset

The elements covered in this well-curated dataset include: The ranking of the game based on global sales under the column 'Rank'. This metric provides perspective on how popular or successful a particular game has been across countries in comparison to others during its time. Noting that video games' popularity could vary greatly from one geography to another due to factors like cultural nuances, gamer preferences, etc., regional sales have been marked separately for North America (North America), Europe (Europe), Japan (Japan) as well as for other parts of the World excluding these three regions under the column 'Rest of World'.

For easy identification among massive chunks of data, we've included each game's title (Game Title) along with additional categorization based on their genre (Genre). From action-packed adventures to strategic board-like scenarios or enchanted magic realms - classifications cover it all! In addition, detailed information about publishers can be found under 'Publisher', which grants insights about leading companies dominating market shares.

Further details expand into mentioning platforms such as PS4, Xbox, PC where these games can be played under 'Platform'. A unique attribute covered in this database is ‘Review’. Given that critique ratings play an influential role in engaging new players into trying out a particular video game or boosting existing user morale regarding their choice; this numeric representation ranging typically from 1-10 vividly captures public opinion about them.

Lastly, just for keeping tabs on ever-evolving gaming technology standards where newer versions often outshine predecessors irrespective of actual gameplay quality itself; having release years mentioned ('Year') proves beneficial for categorizing them chronologically. This helps correlate whether higher sales figures can sometimes merely be indicative of more people having access to necessary high-end gaming hardware during later periods.

In essence, this dataset titled ‘Video Games Sales.csv’ holds immense potential for informative deep-dives into the Video Game industry's trends and paradigms, forming a solid foundation for market research, academic purposes or personal projects

How to use the dataset

This dataset provides extensive information about various video game titles, their sales performance across multiple regions, publisher details and game reviews. Follow the steps outlined below to make the most out of this remarkable dataset!

1. Game Research & Evaluation:

With columns such as 'Game Title', 'Genre' and 'Review', you can research on particular games or genres that interest you. You can evaluate a game based on its review scores, delving into what makes a top-rated game.

2. Publisher Analysis:

The 'Publisher' column lets you track which publishers are behind the most successful games in terms of sales and reviews. This analysis could be useful for people interested in business trends in gaming industry or trying to identify potential innovative publishers.

3. Regional Market Trend Identification:

You can use data from columns like ‘North America’, ‘Europe’, ‘Japan’ and ‘Rest of World’ to study regional market trends for certain genres or platforms; it might enable one to recognize patterns over time or cultural preferences with regard to video games.

4. Global Sales Analysis:

Using the 'Global' column, you could observe which games have been globally successful, going beyond regional preferences by genre or platform.

5. Platform Insight:

The platform on which a particular game is available is another significant factor (e.g., PC, PS4, Xbox). By utilizing the data contained in this dataset regarding platforms, one may learn how platform choice impacts global sales as well as discern any correlation between preferred platform types among specific regions.

Remember that every statistical analysis begins with knowing your data - dive deep into each variable; explore patterns within variables before looking at correlations between different fields.

Don't forget - when engaged with comprehensive datasets like these - creativity is your only limit! Happy analyzing!

Research Ideas

• Trend Analysis: This dataset can be used to analyze the trends in video game preferences over the years based on genre, publisher, platform and region. It can provide interesting insights into how consumer tastes have evolved with time and which game genres are becoming more popular.
• Sales Forecasting: U...

Xbox Games

Games released for Xbox

About this dataset

This dataset contains a list of Xbox games, including their genres, developers, publishers, and release dates. With this information, you can get an idea of what kind of games are available for the Xbox platform, as well as when they were released. You can also see who developed and published each game

How to use the dataset

This dataset contains a list of Xbox games and their respective ratings. The ratings are provided by gamers who have played the game

Research Ideas

This dataset can be used to:

• Track the release dates of Xbox games over time;
• Study the trends in game genres popular among Xbox gamers; and
• Analyze the business relationship between Microsoft, as the owner of the Xbox platform, and video game developers and publishers who make titles for the console

Acknowledgements

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: df_1.csv | Column name | Description | |:-------------------|:-------------------------------------------------------------| | Title | The title of the Xbox game. (String) | | Genre | The genre of the Xbox game. (String) | | Developer(s) | The developer(s) of the Xbox game. (String) | | Publisher(s) | The publisher(s) of the Xbox game. (String) | | Release date | The release date of the Xbox game. (String) | | Release date.1 | The release date of the Xbox game in North America. (String) | | Release date.2 | The release date of the Xbox game in Europe. (String) |

File: df_4.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

File: df_9.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

File: df_10.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

File: df_3.csv

File: df_2.csv | Column name | Description | |:-------------------------------------|:------------------------------------------------------------------------------------------------| | Articles related to Xbox games | A list of Xbox games, including their genres, developers, publishers, and release dates. (List) | | Articles related to Xbox games.1 | A list of Xbox games, including their genres, developers, publishers, and release dates. (List) |

File: df_6.csv

File: df_7.csv | Column name | Description | |:-------------------|:-------------------------------| | vteMicrosoft | The name of the game. (String) | | vteMicrosoft.1 | The type of game. (String) |

File: df_8.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

File: df_5.csv | Column name | Description | |:--------------|:--------------| | 0 | | | 1 | |

Wizard101 player activity dataset from MMO Populations, combining monthly enhanced players and 30-day daily estimates generated from public signals.

Description:

This dataset offers a detailed overview of video games across various platforms. It encompasses a broad range of information, making it a valuable resource for understanding the evolution, popularity, and thematic diversity of video games. Ideal for analysis of gaming trends, player preferences, and platform-specific dynamics, this dataset is a key tool for researchers, game developers, and market analysts.

Features:

• name: The title of the video game.
• platform: The gaming platform on which the game is available (e.g., PlayStation, Xbox).
• release_date: The date when the game was released.
• summary: A brief description or summary of the game's storyline or key features.
• user_review: User review rating, indicating the game's reception and popularity.

Use Case:

This dataset is instrumental for various analyses, including: - Trend analysis in the gaming industry. - Comparative studies of games across different platforms. - Understanding the correlation between game features and user ratings. - Market analysis for predicting future gaming trends and preferences.

Note:

• The dataset provides an extensive view of the gaming world, helping to gauge shifts in gaming culture and technology over time.
• It can be used to analyze the impact of narrative, gameplay, and platform choice on the success of video games.

Elite Dangerous player activity dataset from MMO Populations, combining monthly enhanced players and 30-day daily estimates generated from public signals.

The Elder Scrolls Online player activity dataset from MMO Populations, combining monthly enhanced players and 30-day daily estimates generated from public signals.

For More Visit: https://onlypython01.blogspot.com

This dataset contains information on 10,000 of the most popular video games, curated from multiple sources. It is designed for data science, machine learning, and analytics projects in gaming, entertainment, and recommendation systems.

The dataset includes:

ID & Name – unique identifier and game title

Release & Update Dates – when the game was originally released and last updated

Rating & Suggestions Count – aggregated player ratings and number of community recommendations

Platforms – supported consoles and systems (e.g., PC, PlayStation, Xbox, Switch, Mobile)

Developers & Publishers – companies behind the games

Genres – classification (RPG, FPS, Adventure, etc.)

Image – cover art thumbnail URL for visualization

Description – text summary of the game

Potential Use Cases

Exploratory analysis: study trends in ratings, genres, or release dates

Machine Learning: build recommender systems for games

NLP: analyze game descriptions & genres

Visualization projects: timeline charts, platform distribution, developer networks

Video Games Sales Dataset

About Dataset

This Dataset provides up-to-date information on the sales performance and popularity of various video games worldwide. The data includes the name, platform, year of release, genre, publisher, and sales in North America, Europe, Japan, and other regions. It also features scores and ratings from both critics and users, including average critic score, number of critics reviewed, average user score, number of users reviewed, developer, and rating. This comprehensive and essential dataset offers valuable insights into the global video game market and is a must-have tool for gamers, industry professionals, and market researchers. by source

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Columns

Research Ideas / Data Use

• Market Analysis: The video game sales data can be used to analyze market trends and identify popular genres, platforms, and publishers. This can be useful for industry professionals to make informed decisions about game development and marketing strategies.
• Sales Forecasting: The sales data can be used to forecast future trends and predict the success of upcoming games.
• Consumer Insights: The data can be analyzed to gain insights into consumer preferences and buying habits, which can be used to tailor marketing strategies and improve customer satisfaction.
• Comparison of Competitors: The data can be used to compare the sales performance of competing video games and identify market leaders.
• Gaming Industry Performance: The data can be used to evaluate the overall performance of the gaming industry and track its growth over time.
• Gaming Popularity by Region: The data can be analyzed to determine which regions are the largest markets for video games and which genres are most popular in each region.
• Impact of Reviews: The data can be used to study the impact of critic and user reviews on sales and the relationship between scores and sales performance.
• Gaming Trends over Time: The data can be used to identify trends in the gaming industry over time and to track the evolution of the market.
• Gaming Demographics: The data can be used to analyze the demographic makeup of the gaming audience, including age, gender, and income.
• Impact of Gaming Industry on the Economy: The data can be used to evaluate the impact of the gaming industry on the economy and to assess its contribution to job creation and economic growth.

Acknowledgements

if this dataset was used in your work or studies, please credit the original source Please Credit ↑ ⠀⠀⠀

DC Universe Online player activity dataset from MMO Populations, combining monthly enhanced players and 30-day daily estimates generated from public signals.

This dataset provides an extensive collection of popular video games across various platforms and genres. It includes key details such as game titles, genres, platforms, release years, and user ratings, allowing for in-depth analysis of gaming trends and player preferences.

With a diverse selection of games, this dataset reflects current industry trends, helping researchers, developers, and gaming enthusiasts explore popularity patterns, platform preferences, and genre evolution over time.

📌 Key Features: 🕹️ Game Information: Game Title 🎮: The name of the game. Genre 🎭: The category of the game (e.g., Action, RPG, FPS, Strategy). Platform 🖥️🎮📱: The platform(s) the game is available on (e.g., PC, PlayStation, Xbox, Switch, Mobile). Release Year 📅: The year the game was released. Developer 🏢: The company or studio that developed the game. ⭐ Popularity & Reception: User Ratings 🌟: Average player ratings based on reviews. Metacritic Score 🎯: Professional critic score from Metacritic (if applicable). Total Sales (in millions) 💰: Estimated number of copies sold worldwide. 🎮 Additional Insights: Multiplayer Support 🔄: Whether the game offers multiplayer features (Yes/No). Game Mode 🎯: Single-player, Multiplayer, or Both. ESRB Rating 🔞: Age classification (E, T, M, etc.). 📊 Use Cases & Applications: 🔹 Analyzing gaming trends over time 🔹 Comparing the popularity of different game genres 🔹 Identifying top-selling games by platform 🔹 Understanding user preferences and ratings 🔹 Exploring relationships between game ratings and sales

⚠️ Important Note: This dataset is synthetically generated for educational and analytical purposes. It does not contain real proprietary data but is designed to resemble real-world gaming statistics.

Trove player activity dataset from MMO Populations, combining monthly enhanced players and 30-day daily estimates generated from public signals.

Star Trek Online player activity dataset from MMO Populations, combining monthly enhanced players and 30-day daily estimates generated from public signals.

New World player activity dataset from MMO Populations, combining monthly enhanced players and 30-day daily estimates generated from public signals.

FIFA 23 is a football simulation video game published by Electronic Arts. It is the 30th and final installment in the FIFA series that is developed by EA Sports, and released worldwide on 30 September 2022 for PC, Nintendo Switch, PlayStation 4, PlayStation 5, Xbox One, Xbox Series X/S and Google Stadia.

The role of performance analysis within football is more important than ever. Whether it’s the opposition, potential transfer targets or last weekend’s fixture, analysing performances and data can be the difference between success and failure.

GTA 5 Phone Cheats cheat codes dataset covering input sequences and effects.

Overwatch is a team-based multiplayer online first-person shooter video game developed and published by Blizzard Entertainment. It was released in May 2016 for Windows, PlayStation 4, and Xbox One. Overwatch assigns players into two teams of six, with each player selecting from a roster of over 20 characters, known in-game as "heroes", each with a unique style of play, whose roles are divided into four general categories: Offense, Defense, Tank, and Support. Players on a team work together to secure and defend control points on a map or escort a payload across the map in a limited amount of time.

I discovered this dataset on the Overwatch Subreddit here: https://www.reddit.com/r/Overwatch/comments/7o8hmg/my_friend_has_recorded_every_game_hes_played/

It represents a ridiculous amount of effort in terms of manually recording game results. This data, whilst in some places incomplete, gives an unprecedented view into the experience of a single overwatch player over the course of years of gameplay. From it you can track the ups and downs, shifts in hero preference and all sorts of other exciting in game trends.

Thanks to JustWingIt for their amazing collecting this data.

I cleaned the data a little and put it into a single CSV.