This project contains a set of analysis that can be run against issues from the Poetry repo. These analysis were made to help contributors to poetry understand and visualize various statistics of issues.
In the root directory of the application, create a virtual environment, activate that environment, and install the dependencies like so:
pip install -r requirements.txt
Ensure you have a json data file of the poetry issues on github. Update the config.json with the path to the file.
With everything set up, you should be able to run various analysis.
Analysis One: Analysis of most common labels from issues in poetry.
python run.py --feature 0
Analysis Two: Analysis of most closed issues by user and labels. Can pass user or label arguments.
python run.py --feature 1 --user radoering
Analysis Three: Analysis of monthly closed and opened issues.
python run.py --feature 2
Analysis Four: Analysis of average time it takes to close various types of issues.
python run.py --feature 3