Dark Mode
Play Store App Performance Data
Product Reviews & Feedback
Tags and Keywords
Trusted By
"No reviews yet"
Free
About
A refined analytical dataset covering key characteristics and performance metrics of applications previously listed on the Google Play Store. The data has undergone exploratory analysis and cleaning using Python, resulting in a high-quality tabular resource suitable for detailed research. It incorporates vital statistics such as user rating scores, volume of reviews, total installations, application type (Paid or Free), and content classification information.
Columns
The dataset contains 15 attributes, providing deep insights into app demographics and market performance:
- S.no.: A serial number index.
- app: The unique name identifier for the mobile application.
- category: The broad application grouping it belongs to (e.g., FAMILY, GAME). There are 33 unique categories present.
- rating: The user rating score, ranging from 1 to 5, with a mean rating of approximately 4.17.
- reviews: The quantity of reviews submitted by users, tracking up to 78.2 million.
- installs: The total number of times the application has been installed, with figures reaching 1 billion.
- type: Indicates the monetisation model: Paid or Free.
- price: The cost of the app, potentially up to 400 (currency unit unspecified).
- content_rating: The maturity level assigned to the content, with the majority (82%) classified as 'Everyone'.
- genres: Specific genre classification, including 118 unique entries, 'Tools' being the most frequently occurring.
- current_ver: The application's current version number.
- android_ver: The minimum required Android operating system version (e.g., 4.1 is the most common requirement).
- size(kb): The size of the application file in kilobytes, with a mean size of 18.4k.
- update_month: The month of the application's most recent update.
- update_year: The year of the application's most recent update, spanning from 2010 to 2018.
Distribution
The product is delivered as a structured tabular file named
Google_data_cleaned.csv. The file size is 990.41 kB. It consists of 15 columns and 9658 valid records across core fields like app name and category. Data quality is notably high, with zero mismatched or missing values in crucial fields like reviews, installs, and pricing structure. However, attributes related to application version and size do contain some missing values.Usage
This data product is ideally suited for:
- In-depth exploratory data analysis (EDA) of the mobile application ecosystem.
- Building predictive models to forecast application success based on ratings, reviews, and install counts.
- Market segmentation studies focusing on popular categories such as FAMILY and GAME.
- Analysing pricing strategies and the distribution between paid and free applications.
- Investigating trends in content suitability and required platform compatibility (Android version).
Coverage
The data reflects applications listed on the Google Play Store, covering information collected between 2010 and 2018, with significant activity evident in 2017 and 2018. The coverage is focused on general market availability metrics and audience suitability classifications, such as 'Teen' and 'Everyone'.
License
CC0: Public Domain
Who Can Use It
- Market Analysts: To study competitive landscapes, pricing tiers, and installation volumes.
- Data Scientists: For training machine learning models on app popularity and user engagement features.
- Mobile Developers: To identify common Android version requirements and successful genre classifications.
- Academics: For research into digital market dynamics and content governance.
Dataset Name Suggestions
- Cleaned Google Play App Metrics
- Mobile Application Market Analysis (Cleaned)
- Play Store App Performance Data
- Analysed Google Play Store Data
Attributes
Original Data Source: Play Store App Performance Data
QUALITYLoading...