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A Data Carpentry Workshop

Washington State University

Mar 20-21, 2017

9:00 am - 4:30 pm

Instructors: Stephanie Labou

Helpers: Michael Meyer, Alli Cramer, Mahmoud Shehata, Tung Nguyen

General Information

Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop teaches basic concepts, skills and tools for working more effectively with data.

We will cover Data organization in spreadsheets and OpenRefine, Introduction to R, Data analysis and visualization in R and SQL for data management. Participants should bring their laptops and plan to participate actively. By the end of the workshop learners should be able to more effectively manage and analyze data and be able to apply the tools and approaches directly to their ongoing research.

Who: The course is aimed at graduate students and other researchers. There are no pre-requisites, and we will assume no prior knowledge about the tools.

Where: PACCAR 202, Pullman, WA. Get directions with OpenStreetMap or Google Maps.

Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating sytem (not a tablet, Chromebook, etc.) that they have administrative privileges on. They should have a few specific software packages installed (listed below). They are also required to abide by Data Carpentry's Code of Conduct.

Contact: Please mail for more information.


The workshop is $25, payable by credit card or Washington State University IRI. Register here. There are limited funds available to support non-Pullman based individuals. Please email if you are planning on requesting travel support.

Preliminary Schedule


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

Pre-workshop Survey

Post-workshop Survey

Day 1

9:00 Introduction
9:15 Data Organization in Spreadsheets
10:45 Coffee Break
11:00 Data Cleaning with OpenRefine
12:00 Lunch Break
1:00 Introduction to R
2:15 Coffee Break
2:30 Introduction to R (cont.)
4:15 Wrap Up

Day 2

9:00 Recap
9:15 Manipulating data in R
10:45 Coffee Break
11:00 Manipulating data in R (cont.)
12:00 Lunch Break
1:00 Visualizing data in R
2:30 Coffee Break
2:45 Databases and SQL
4:15 Wrap Up

We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.


To participate in a Data Carpentry workshop, you will need working copies of the described software. Please make sure to install everything (or at least to download the installers) before the start of your workshop. Participants should bring and use their own laptops to insure the proper setup of tools for an efficient workflow once you leave the workshop.

Please follow these Setup Instructions.

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.