Dataset about user privacy treatment by mobile applications

<pre>With academical purposes for the Master in Data Science at UOC, this data extraction project is carried out using Web Scraping techniques on the Exodus-Privacy website, which is dedicated to analyze security and privacy aspects in Android applications. The dataset about user privacy treatment by mobile applications, provides information on trackers that have been included in the application and the device permissions that the user must accept at the time of installation. In addition, it provides more interesting application features for analytical processing of mobile applications. Dataframe files: &middot; <strong>exodus.zip</strong>: Contains de icon attribute within the dataset file <em>exodus.json</em> (3G) in a [RGBA] 32x32 list format. &nbsp;&middot; <strong>exodusNoIcon.zip</strong>: Contains de dataset file exodusNoIcon.json (100M) with 153.373 png files. Each file is named with the Id attribute within the dataset file. Dataframe attributes:</pre> <pre><code class="language-json">{ "id": { "Id": id, "Name": "name", "Tracker_count": trackersCount, "Permissions_count": permissionsCount, "Version": "version", "Downloads": "downloads", "Analysis_date": "analysisDate", "Trackers": [ { "Tracker Name": [ "trackerPurpose" ] } ], "Permissions": [ "permission", ], "Permissions_warning_count": permissionWarningCount, "Developer": "developer", "Country": "country", "Icon": [ [ R, G, B, A ] ] } }</code></pre> <p>&nbsp;</p>