Mar 30-31, Apr 1, 2022
10:00am - 1:00pm EDT
Instructors: Andrea Kang, Rebecca Morin, Berika Williams
Helpers: 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: Online. Get directions with OpenStreetMap or Google Maps.
When: Mar 30-31, Apr 1, 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 andrea.kang@tufts.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 |
9am - 10am | Setup Drop in |
10am - 11:25am | Data Organization in Spreadsheets |
11:25am - 11:35am | Break |
11:35am - 1:00pm | OpenRefine for Data Cleaning |
9am - 10am | Setup Drop in |
10am - 1pm | Introduction to R |
10am - 1pm | Continuation of R: Starting with Data |
After workshop | Post-workshop survey |
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.
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
application).
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.
Software | Install | Manual | Available for | Description |
---|---|---|---|---|
Spreadsheet program (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. |
The setup instructions for the Data Carpentry Social Sciences workshops (with R) can be found at the workshop overview site.