A Data Carpentry Workshop
UW Madison
January 8-9, 2018
8:30am - 4:30pm
Instructors:
Trisha Adamus, Alex Bajcz, Karl Broman, Michelle Craft, Lauren Michael
Helpers:
Cameron Cook, Steve Goldstein, Maria Kamenetsky, Andy Pohl
January 8-9, 2018
8:30am - 4:30pm
Instructors: Trisha Adamus, Alex Bajcz, Karl Broman, Michelle Craft, Lauren Michael
Helpers: Cameron Cook, Steve Goldstein, Maria Kamenetsky, Andy Pohl
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, SQL for data management, Introduction to R and Data analysis and visualization in R. 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.
For researchers who have already been programming and seek to expand their capabilities, our UW-Madison Software Carpentry workshop (Jan 10-11) will likely be more appropriate. These two workshops are NOT intended to be taken back-to-back, and you can learn about future workshops at UW-Madison by joining the mailing list of UW-Madison's Advanced Computing Initiative.
Who: The course is aimed at UW-Madison-affiliated graduate students, staff, and other researchers.
Where: Orchard Room, Discovery Building, 330 Orchard St., Madison, WI. Get directions with OpenStreetMap or Google Maps.
Requirements: Participants should plan to attend BOTH days of the workshop and 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 ContactACI@lists.wisc.edu for more information.
Setup
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.
Surveys
Please complete this survey before the workshop!
Preliminary Schedule
Etherpad: http://pad.software-carpentry.org/2018-01-08-uwmadison-dc.
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
Day 1
| 8:30 - 9:00 | Installation Help |
| 9:00 - 9:10 | Introduction |
| 9:10 - 10:30 | Data Organization in Spreadsheets |
| 10:30 - 10:45 | Break |
| 10:45 - 12:00 | Data Cleaning with OpenRefine |
| 12:00 - 1:00 | Lunch Break |
| 1:00 - 2:15 | Data Management with SQL |
| 2:15 - 2:30 | Coffee |
| 2:30 - 4:00 | Data Management with SQL |
Day 2
| 8:30 - 9:00 | Installation Help |
| 9:00 - 9:15 | Day 2 intro |
| 9:15 - 10:30 | Intro to R [Lesson narrative | Handout | Lesson R script | R script from workshop] |
| 10:30 - 10:45 | Break |
| 10:45 - 12:00 | Data manipulation with dplyr [Lesson R script] |
| 12:00 - 1:00 | Lunch Break |
| 1:00 - 2:30 | Data Visualization with ggplot2 [R script from workshop] |
| 2:30 - 2:45 | Coffee |
| 2:45 - 3:15 | Reproducible reports with R Markdown [R Markdown example] |
| 3:15 - 4:00 | Capstone project [Solutions: Rmd | html] |
| 4:00 - 4:15 | Wrap up and fill out the post-workshop survey (see below) |
| 4:15 - 5:00 | Join the Data Carpentry team for drinks and snacks at the Sett |
After the workshop: We will be hosting a follow-up session on R during the week of January 16 - 19. See this page for more details.