Steam Virtual Reality (VR) Video Games Dataset

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This dataset is a collection of information related to Virtual Reality (VR) video games available on the Steam platform. It contains data from four different sources, which have been combined to provide a rich and detailed analysis of the Steam VR gaming landscape.

Dataset Overview
The dataset consists of four files, each containing data from a different source. It includes information such as game details, developers, publishers, features, tags, pricing, achievements, and more. In total, it covers 34 columns, providing a wide range of data points for analysis.

Sources
Steam: An online video game distribution service

VGI Insights: Creates and tracks steam video game data

Steam Spy Creates and tracks steam video game data

Google Trends: Tracks keyword searches in Google

Columns and Definitions

id: Steam game id

name/game_name: Name of the video game
release_date: Game release date
developers: List of developers
publishers: List of publishers
website: Game website
features: List of features
tags: List of tags
short_descr: Short description of the game
recommendations: Number of recommendations
req_age: Required age to play the game
initial_price: Starting price
final_price: Current price
achievements: Number of achievements
discount_per: Discount percent
num_dlc: Number of DLCs
is_free: If the game is free or not
num_movies: Number of trailers on Steam
num_lang: Number of supported languages
num_screenshots: Number of screenshots
num_features: Number of features
num_searches: number of searches of the game in a given year
followers: The number of followers for a given game
avg_owners: Average owners of a given game
ytube_vids: Number of YouTube videos uploaded in a single day
pos_reviews: Percentage of positive reviews
gross_rev: Gross revenue
units_sold: Number of units sold

Feedback and Improvements

This is my first published dataset, and I am eager to receive feedback on its quality, usability, and any improvements that can be made. Your suggestions will help me my data collection skills. Please feel free to share your thoughts and recommendations in the comments section or reach out to me directly.