Jira offers great reporting capabilities on its GUI. Nevertheless there are certain advanced reporting requirements that cannot be easily fulfilled. Also you might need to feed your Jira data into a data warehouse or other surrounding systems. It is always good to understand how to export your data from your Jira instance to process it elsewhere.
In this Jupyter Notebook you will learn the following:
- How to establish a secure connection to your personal Jira instance
- How to download issue data
- How to download board and sprint data
- How to download project data
- How to transform Jira data into a Pandas dataframe
- How to visualize your Jira data with Plotly
The Medium article for this notebook is here.