R Popularity Dashboard

[balajialg]

Summary

From the 10/28 sprint retro meeting, we learned about Yuvi's awesome hacking with python package usage dashboard. This will be a useful tool to make decisions about the python packages that need to get removed at the end of the semester based on their usage.

However, we don't have a similar setup for R. It will be a good use case to have to make package removal decisions in the future based on the usage and not just rely on our outreach to the teaching team.

Considering the complexity involved with this use case, adding it to our backlog for future reference.

User Stories

• As a Hub Admin I can make package removal decisions at the end of the semester based on the R usage dashboard.

Acceptance criteria

• Given the end of a fall/sprint semester`, when hub admin views the R dashboard, then they can view the number of times R packages were imported in the user's notebook

Important information

Tasks to complete

1. Explore the feasibility of calculating the number of times packages are imported.
2. Push the data to the Grafana dashboard via Prometheus!