Oindrilla up to speed with project

[oindrillac]

As a data scientist and contributor to this project I need to have a strong hands-on understanding of all the work done to date as well as knowledge of how to improve upon and extend the existing work.

PLEASE READ: This issue should be used as a template. Please make a copy of it and replace <NAME> with your name when creating the new issue.

Acceptance Criteria:

• Use ocp-ci-analysis:latest image on https://jupyterhub-opf-jupyterhub.apps.cnv.massopen.cloud/ and successfully run every notebook in the notebooks directory.
• Submit at least 1 Issue/PR fixing a bug, fixing a graph formatting, changing an unclear notebook section, or adding a small additional data analysis to a notebook. (Look for something to improve as you go through the existing work 😃)
• Familiarize yourself with the following 3 resources:
  * Sippy Repo and Dashboard for an example of metrics and TestGrid data analysis.
  * TestGrid Repo and Dashboard to familiarize yourself with our initial data source.
  * Prow and google cloud storage to see the underlying CI data informing these higher levels of abstraction.

[oindrillac]

• Suggested improvements in test_flakiness_detection notebook (Improvements in test_flakiness_detection notebook #95)
• Suggested refactoring of code across notebooks in the repo, by importing modules across notebooks (Redefining of functions across notebooks in the repository #98)