Making Tables with gt and Great Tables

posit::conf(2024)

by Michael Chow, Rich Iannone

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:spiral_calendar: August 12, 2024
:alarm_clock: 09:00 - 17:00
:hotel: 306 | Duwamish
:writing_hand: pos.it/conf

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Description

This workshop is all about making tables for publication and display purposes. We believe that effective tables have these things in common:

1. structuring that aids in the reading of the table
2. well-formatted values, fitting expectations for the field of study
3. styling that reduces time to insight and improves aesthetics

This is a 'bilingual' workshop that has materials both in R and Python. The gt package will be used when teaching in R and the Great Tables package is for the Python parts. We are flexible with regard to rebalancing the instruction to either the R or Python sides. Your feedback in class will let us know where more focus should placed.

Audience

This course is for you if you:

• have some experience with data analysis in R or Python
• often create reporting that involves summarizations of data
• were frustrated making tables for display purposes outside of R or Python
• found beautiful-looking tables in the wild and wondered: 'How could I do that?'

Prework

• Bring your laptop.
• Sign up for a GitHub account. (Create an account here.)
• Sign up for a Posit Cloud account. (Create an account here.)

Schedule

Time	Activity
09:00 - 10:30	Session 1: Coffee Table (Great Tables)
10:30 - 11:00	Coffee break
11:00 - 12:30	Session 2: Reactions Table (gt)
12:30 - 13:30	Lunch break
13:30 - 15:00	Session 3: Power Generation Table (gt)
15:00 - 15:30	Coffee break
15:30 - 17:00	Session 4: Make Your Own Excellent Tables

Instructor(s)

Michael Chow, Senior Software Engineer, Posit

Michael is a data scientist and software engineer. He has programmed in Python and R for over a decade, and he obtained a PhD in cognitive psychology from Princeton University. His interests include statistical methods, skill acquisition, and human memory.

Richard Iannone, Senior Software Engineer, Posit

Richard is a software engineer and table enthusiast. He and R go way back and he's been getting better at writing code in Python too. For the most part, Rich enjoys creating open source packages in R and Python so that people can great things in their own work.

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This work is licensed under a Creative Commons Attribution 4.0 International License.