Workshop Agenda

May 11, 2021 12:00pm - 3:00pm EST

Note: Zoom meeting information has been sent to workshop participants directly.

Introductions (12pm - 12:15pm)

• Who we are, what brings us here, and what challenges we face in our current jobs regarding the question of helping patrons use data
• Code of conduct, questions, and workshop logistics
• Very brief overview of steps to install environments

Breakout Discussions: PID data and the academic library (12:15pm - 1:00pm)

• Overview of the sample datasets
• Discussion of challenges involving large or complicated data
• Share outs, reflections, and ideas

Setting-up the Jupyter Notebook and accessing data (1:00pm - 1:30pm)

• Launching the kernel and reading data into memory
• Brief overview of Pandas and data frame concept
• Merging files and writing them to local storage

Break (15 minutes, 1:30pm - 1:45pm)

Hands-on work: A closer look at the code (1:45pm - 2:45pm)

• Jittering
• Sampling
• Introducing on the fly visualizations
• Looking at other columns

Discussion and conclusion (2:45pm - 3:00pm)

• What are some other opportunities / challenges of making large or complicated data available to patrons?
• What strategies do you use?
• Feedback and evaluation