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Mobile Application Rankings Time Series
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About
Provides a time series record of Apple Store application rankings collected in late 2019. This resource, scraped directly from the Apple Store, is structured specifically for trend analysis and identifying rapidly expanding applications. It enables users to study the movement of potential high-performing mobile applications before they achieve peak ranking levels. The material includes metrics relating to application identification, category, price, and daily changes in ranking position.
Columns
The data file,
ranks.csv, presents 10 of the original 14 columns, including:- appid: The unique identifier for the application. All 113,000 records are valid, with values ranging up to 1.49 billion.
- date: The specific date of the ranking record, spanning from 30 November 2019 to 6 December 2019. This field is 100% valid.
- category: A numerical identifier for the application category, ranging from 5000 to 6061. This field is 100% valid.
- feed: Indicates the monetisation status: free (36%), paid (33%), or other (31%). This field contains 3 unique values and is 100% valid.
- name: The name of the application, featuring over 14,400 unique values. This field is 100% valid.
- publisher: The creator of the application, with over 9,400 unique entries. Tencent Technology (Shenzhen) Company Limited is the most frequent publisher.
- price: The price of the application in USD, ranging up to $4,000, although the vast majority of entries are priced below $80. The average price is $9.46. This field is 100% valid.
- ranking: The global index or rank of the application, with a maximum value of 1228 and an average of 156. This field is 100% valid.
- change: Measures the change in the index compared to the previous day, ranging from -9999 to 9999. This field is 100% valid.
- sub_ranking: The rank within the application's sub-category, with values ranging from 0 to 200. This field is 100% valid.
Distribution
The material is distributed as a single CSV file,
ranks.csv, which is 13.29 MB in size. The dataset contains 113,000 valid records across its columns. All measured fields, including ranking indices and application metadata, show 100% data validity. The expected update frequency is Annually.Usage
This resource is valuable for market analysis focused on the mobile application ecosystem. It can be used to perform time series analysis on ranking fluctuations, identify fast-moving applications, and predict which new apps might become highly successful. Developers and analysts can use the data to study the market performance of different pricing models (free versus paid).
Coverage
The scope covers application ranking data collected from the Apple Store. The temporal coverage is specific, spanning a short period from 30 November 2019 to 6 December 2019. The content includes details on app identifiers, publishers, pricing, and category performance indices.
License
CC0: Public Domain
Who Can Use It
The dataset is intended for developers, market researchers, and data scientists interested in mobile and wireless industry trends. It is particularly useful for those building models to predict application success. The material has a maximum usability rating of 10.00.
Dataset Name Suggestions
- Apple Store App Ranking History 2019
- Mobile Application Rankings Time Series
- 2019 App Store Performance Metrics
Attributes
Original Data Source:Mobile Application Rankings Time Series
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