A dataset from the daily use of features in Android devices
Description
The energy consumption of Android devices, measured via data collection from features, is a recurring theme in the literature. To evaluate the performance of such devices, databases are generated through the collection data from features while using the Android operating system. This article describes a database generated from the daily use of smartphones and tablets while performing everyday tasks. The dataset contains 98 features and 10,517,165 of records related to dynamic, background, app list and static data. Device records were collected every day from ten distinct devices and stored in CSV files that were later organized to generate a database by cleaning and preprocessing the data that are publically available in the Mendeley Data Repository.