Mar 9-10, 2021
10:00 am - 3:00 pm
Instructors: Andrea Kang, Rebecca Morin, Berika Williams
Helpers: Ari Gofman, Kristin Lee
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Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Open to all, including learners who have little to no prior computational experience. Lessons build on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to work together and share experiences, with an eye toward applying 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: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: Mar 9-10, 2021. Add to your Google Calendar.
Requirements: Participants must have access to a computer 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 dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email firstname.lastname@example.org 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.
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
Please be sure to complete these surveys before and after the workshop.
|Before starting||Pre-workshop survey|
|9am - 10am||Set-up Drop-in|
|10am - 12pm||Data Organization in Spreadsheets|
|12pm - 1pm||Lunch|
|1pm - 3pm||Introduction to R|
To participate in a Data Carpentry workshop, you will need access to the software 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.
You can download all of the data used in this workshop by clicking this download link. The file is 206 KB.
Clicking the download link will automatically download all of the files to your default download directory as a single compressed
.zip) file. To expand this file, double click the folder icon in your file navigator application (for Macs, this is the Finder
For a full description of the data used in this workshop see the data page.
The full setup instructions for the Data Carpentry Social Sciences workshops (with R) can be found at the workshop overview site. Please note: We will NOT be discussing SQLlite Browser in this workshop, so there is no need to install it.
(Excel or LibreOffice)
|Link||Link||Linux, MacOS, Windows||Spreadsheet program for organizing tabular data.|
|OpenRefine||Link||Link||Linux, MacOS, Windows||Tool for cleaning and transforming data.|
|R||View these install instructions.||Linux, MacOS, Windows||R programming language.|
|RStudio||Link||Cheatsheet||Linux, MacOS, Windows||Integrated Development Envirornment (IDE) for R.|
If you haven't used Zoom before, go to the official website to download and install the Zoom client for your computer.
Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, 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 the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:
The setup instructions for the Data Carpentry Social Sciences workshops (with R) can be found at the workshop overview site.