Oct 24, 2024
9:00 am - 4:30 pm CDT
Instructors: Amy Kendig, Alex Bajcz
Helpers: Véronique St-Louis, Dave Staples
The Carpentries project comprises the Software Carpentry, Data Carpentry, and Library Carpentry communities of Instructors, Trainers, Maintainers, helpers, and supporters who share a mission to teach foundational computational and data science skills to researchers.
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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: This workshop is for employees of the MN DNR. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Online: you'll be sent a Teams link; In-person: Carlos Avery State Wildlife Management Area conference room, 5463 W Broadway Ave, Wyoming, MN 55092. Get directions with OpenStreetMap or Google Maps.
When: Oct 24, 2024; 9:00 am - 4:30 pm CDT You will receive an Outlook meeting invitation upon registration.
Requirements: In-person participants must bring a laptop and a lunch. All participants must have access to a computer with a Mac, Linux, or Windows operating system (not a tablet, Chromebook, etc.). All participants should install RStudio from the Software Center prior to the workshop. See below for specific installation instructions.
Accessibility: We are committed to making this workshop accessible to everybody. The workshop organizers have checked that:
We are dedicated to providing a positive and accessible learning environment for all. We do not require participants to provide documentation of disabilities or disclose any unnecessary personal information. However, we do want to help create an inclusive, accessible experience for all participants. We encourage you to share any information that would be helpful to make your Carpentries experience accessible. To request an accommodation for this workshop, please fill out the accommodation request form. If you have questions or need assistance with the accommodation form please email us.
Glosario is a multilingual glossary for computing and data science terms. The glossary helps learners attend workshops and use our lessons to make sense of computational and programming jargon written in English by offering it in their native language. Translating data science terms also provides a teaching tool for Carpentries Instructors to reduce barriers for their learners.
Contact: Please email amy.kendig@state.mn.us to register and for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
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.
| Before starting | Install RStudio through Software Center (see instructions below) |
| Pre-workshop survey | |
| Morning | Introduction to R and RStudio |
| Data visualization with ggplot2 | |
| Afternoon | Exploring and understanding data |
| Working with data |
To participate in a Data Carpentry workshop, you will need access to RStudio and an up-to-date web browser. Please follow these steps for RStudio:
If you have issues during the download, please contact MNIT. If you have issues with the steps after download, please contact Amy Kendig at amy.kendig@state.mn.us or through a Teams message.
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.
Online participants can access the Teams meeting through the Outlook event invite you receive upon registration.
You will be learning by "coding along" with the Instructors, who will share their screen through Teams. You will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc.) and the window for Teams open. In order to see both at once, we recommend using one of the following set up options: