Data Visualization using R and Python

Institute for Modeling Collaboration and Innovation @ The University of Idaho

Mar 29 - Apr 7, 2022

T/Th 2-5pm

Instructors: Boyu Zhang, Chava Castaneda, Breanna Sipley, Travis Seaborn, Kristen Martinet, James Van Leuven

Helpers: Akorede Seriki, Janet Williams

General Information

Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.

For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".

Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.

Where: Rm352 in the Integrated Research and Innovation Center (IRIC) building, University of Idaho, 875 Perimeter Dr., Moscow, ID. Get directions with OpenStreetMap or Google Maps.

When: Mar 29 - Apr 7, 2022. Add to your Google Calendar.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below).

Accessibility: We are committed to making this workshop accessible to everybody. For workshops at a physical location, the workshop organizers have checked that:

Materials will be provided in advance of the workshop and large-print handouts are available if needed by notifying the organizers in advance. If we can help making learning easier for you (e.g. sign-language interpreters, lactation facilities) please get in touch (using contact details below) and we will attempt to provide them.

Contact: Please email or for more information.

Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.

Code of Conduct

Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.


Please be sure to complete these surveys before and after the workshop.

Pre-workshop Survey

Post-workshop Survey


Mar 29

Before starting Pre-workshop survey
14:00 Introductions
14:20 R vs. Python for Plotting
14:50 Introduction to R
15:35 Break
15:45 Importing Data and Base R graphics
17:00 END

Mar 31

14:00 Data Wrangling dplyr
15:00 Plotting with ggplot
15:35 Plot aesthetics
15:35 Break
16:00 Combining different plot types
17:00 END

Apr 5

14:00 Intro Python
15:00 Data Types and Formats
15:35 Break
15:45 Data processing with Pandas
17:00 END

Apr 7

14:00 Workflows
15:00 Plotting in Python
15:40 Break
15:50 Discussion of Plotting Good Practices
16:50 Post-workshop survey
17:00 END


To participate in a Data Carpentry workshop, you will need access to software as described below. In addition, you will need an up-to-date web browser.

We maintain a list of common issues that occur during installation as a reference for instructors that may be useful on the Configuration Problems and Solutions wiki page.

The setup instructions for the Data Carpentry Ecology workshops (with Python) can be found at the workshop overview site. The setup instructions for the Data Carpentry Ecology workshops (with R) can be found at the workshop overview site.