This repository contains the Jupyter Notebook used to analyse the app data collected as part a randomised controlled trial (RCT) in the CCC: Graphs project (publication pending).
In order to run this script, you will need to install the following. Most of these can be installed easily using pip
, the package installer for Python:
- Python (https://www.python.org)
- Jupyter Notebook (https://jupyter.org)
- numpy (https://numpy.org)
- pandas (https://pandas.pydata.org)
- matplotlib (https://matplotlib.org)
- seaborn (https://seaborn.pydata.org)
- sklearn (https://scikit-learn.org/stable/)
- scipy (https://scipy.org)
- statsmodels (https://www.statsmodels.org/stable/index.html)
You will also need to download the data files, which can be found here: https://osf.io/f4a9x/files/osfstorage
Additionally, the test data analyses can be found here: https://github.com/jda5/ccc-graphs-rct-analysis and the app's source code can be found here: https://github.com/jda5/ccc-graphs-production