Slides for talk given to London Atlassian User Group Jan 2017. How to get started with Python to extract data from Jira and produce charts for your Agile team.

1. Jira + Python + Data Analysis
tools + Agile concepts
=
Powerful Actionable Insights
Atlassian London User Group
By Rudiger Wolf
31 Jan 2016

2. Objective
You will be able to make better use of the data captured in your Jira instance.
Get at the data.
Process the data.
Present the data in an insightful way

3. Agenda
Who is the speaker?
Context
Python a great all purpose tool
Actionable Agile
Jira-metrics-extract (Python Package)
The End

4. Who am I?
Studied Electrical & Electronics Engineering
Started Agile journey in 1998 with DSDM
Independent Consultant
Work with small and large organisations (Private and Public sector)
Couple of startups in Dot Com era
Most recently working at MOJ via Agilesphere

5. What's the first first question you get from your
customer about your release?

6. Excel to the rescue?
How many of you export issue data to excel and then do further processing?
How many of those who export data automate the further processing?
How many of you use Visual Basic for Applications?
Anyone using office-js yet?
Automate to:

speed-up and

make logic explicit

7. Consider learning Python
Python is a popular programming language that can help to work with your data.
Why Python?
Ease of Learning
It Runs on Any Platform
Great General-Purpose Language
Constantly Improving
Fantastic community
Extensive standard library
Thousands of 3rd party libraries

8. Save time, learn from and reuse community libraries

9. How to get started?
1 - Install Python [+ Git + text editor(Sublime,...) ]
2 - Create “Virtual Environment”
3 - Install Libraries/Packages/Modules
4 - Create your program

11. Libraries/Packages/Modules
https://pypi.org/project/jira/
This library eases the use of the JIRA REST API from Python and it has been used in production for
years. As this is an open-source project that is community maintained.
https://pypi.org/project/pandas/
Designed to make working with structured tabular and time series data both easy and intuitive. Goal of
becoming the most powerful and flexible open source data analysis / manipulation tool available in any
language.
https://pypi.org/project/jira-metrics-extract/
Utility helps extract data from JIRA for processing with the ActionableAgile Analytics tool (
https://www.actionableagile.com/analytics-tools/) OR produce a version of the charts locally.

12. The Jupyter Notebook
Is a web application that allows you to create and share documents that contain
live code, equations, visualizations and explanatory text. Uses include: data
cleaning and transformation, numerical simulation, statistical modeling, machine
learning and much more.
http://jupyter.org/
Jupyter + jira-metrics-extract + a number of libraries = Fantastic interactive
environment to create analysis “recipes”
https://www.oreilly.com/ideas/the-state-of-jupyter
Http://try.jupyter.org https://notebooks.azure.com

13. Video Zero to Hero Jira Access
Run video.
How does it take to get started extracting data from Jira?
Zero To Hero With Python and Jira 2min
https://www.youtube.com/watch?v=s4hVmiLR0jo

14. Actionable Agile
Just get the book, watch the conference
Videos…
https://leanpub.com/actionableagilemetrics
Actionable Agile Metrics for Predictability is a
comprehensive guide on how to use flow metrics
and analytics to get the predictability your
customers crave.
By Daniel Vacanti

15. Other thought leaders in Probabilistic Planning
Troy Magennis – Agile Probabilistic forecasting quant @t_magennis
http://focusedobjective.com/
Larry Maccherone @LMaccherone
“I got this concept that every decision is a forecast and the reason I say that is that by picking
alternative a for instance, you are going to forecast that alternative a has a better outcome for you
than alternatives b, c, d, and e.”
Larry Maccherone -
Director of Analytics at AgileCraft, Prior to that, Larry led the Portfolio Insights
product line at Rally Software.
https://www.infoq.com/articles/maccherone-agilecraft-data

16. Jira-metrics-extract
Install
Configure & Run
Data Extract file
Charts
Cumulative Flow Diagram
Release Burnup with forecast (monte carlo - based on past team performance)
Enhance with Jupyter notebook recipe
Enrich Sprint number, Pivot Table
Fill in missing sprint numbers, Extract dependencies
Visualise the dependencies in clickable dependency map

17. Demo Video
Configure and extract data 3min
https://youtu.be/HSk_aBQmvi0
Further Demos can show you how to:
* Enrich data extract
* Create Pivot Table
* Visualise Dependencies

18. The End
Knowledge to create an interactive environment
So that you can extract data and iterate toward analysis “recipes”
Quickly
Repeatability
Questions
Twitter : @rnwolf