Description

This R script is meant to plot statistics based on Exodus Privacy reports issued before and after the GDPR day. The goal is to evaluate the impact of the GDPR on the number of trackers embedded in Android applications.

The script will automatically ignore applications for which Exodus Privacy does not have reports issued before and after the GDPR day.

Requirements

To run the post_gdpr_stats.r script, you have to install R.

Usage

The post_gdpr_stats.r script takes 3 positional parameters:

• the path where plots will be saved
• the name of your current study like Popular for popular applications, this name will be used as plot title
• the file containing a list of application handles (one per line) to take in account. This file has to have an empty line at its end.

To execute this script, run the following command line:

Rscript --vanilla post_gdpr_stats.r $PWD Popular popular.txt

Application list file

The app_list.js can be pasted in your browser JS console when you visit a Google Play store page listing applications (the popular category). The script with replace the content of the web page with the list of applications found in the page. Just copy and paste this list into a file and specify this file as the third parameter of the post_gdpr_stats.r script.

Step-by-step - Linux

First of all, you have to install R.

Install R on debian's like systems:

sudo apt-get install r-base r-base-dev

This script need specifics dependencies which had to be installed too:

sudo apt-get install r-cran-ggplot2 r-cran-rjson

Then, clone or download this Git repository:

cd $HOME
git clone https://github.com/Exodus-Privacy/post-gdpr-stats.git
cd post-gdpr-stats

Run the R script on the example of application list:

Rscript --vanilla post_gdpr_stats.r $PWD "My example" example/popular.txt

3 plots have been saved:

• My example-evolution.png
• My example-trackers_now.png
• My example-worse_or_better.png