Nov 29 - Dec 8, 2022
T/Th 2-5pm
Instructors: David Sneddon, Jared Kavammee, Boyu Zhang, Clint Elg, James Van Leuven, Katy Lawler
Helpers:
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: Nov 29 - Dec 8, 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 jvanleuven@uidaho.edu 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 | 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 |
| 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 |
| 14:00 | Intro Python |
| 15:00 | Data Types and Formats |
| 15:35 | Break |
| 15:45 | Data processing with Pandas |
| 17:00 | END |
| 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.