4 & 5 December, 2018
8:30 - 16:30
Instructors: Abisola Regina Sholeye, Amieroh Abrahams, Angelique van Rensburg
Helpers: Amira Abbas, Naomi Kingu, Samke Phehlukwayo
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".
The workshop is part of a series of Digital Literacy workshops supported by the Big Data and Informatics Research Flagship and funded through the University Capacity Development Programme (UCDP) at UKZN.
Who: The course is aimed at academic staff, postgraduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: Seminar Room, H-Block (Physics), Westville Campus. Get directions with OpenStreetMap or Google Maps.
When: 4 & 5 December, 2018. 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). They are also required to abide by Data Carpentry's Code of Conduct.
Accessibility: We are committed to making this workshop accessible to everybody. Please get in touch (contact details below) if we can help making learning easier for you.
Contact: Please email tirok@ukzn.ac.za, schuldm@ukzn.ac.za, anelda.vdwalt@gmail.com for more information.
Registration: Please complete the online registration form at https://goo.gl/forms/h5mKuHAhAn9AzOUP2. Limited space is available. The workshop is free to attend but a R500 no-show fee will be payable by a registered participant who does not show up to the workshop without giving the workshop organisers at least 5 days notice.
Please be sure to complete these surveys before and after the workshop.
| 08:30 - 09:00 | Introductions |
| 09:00 - 09:30 | Jargon Busting |
| 09:30 - 10:30 | Data Organization in Spreadsheets for Social Scientists |
| 10:30 - 11:00 | Refreshment Break |
| 11:00 - 12:00 | Data Organization in Spreadsheets for Social Scientists |
| 12:00 - 12:30 | OpenRefine for Social Science Data |
| 12:30 - 13:30 | Lunch |
| 13:30 - 15:00 | OpenRefine for Social Science Data |
| 15:00 - 15:30 | Refreshment Break |
| 15:30 - 16:30 | Introduction into R |
| 16:30 | END |
| 08:30 - 09:00 | Warm up with R |
| 09:00 - 10:30 | R for Social Science Data |
| 10:30 - 11:00 | Refreshment Break |
| 11:00 - 12:30 | R for Social Science Data |
| 12:30 - 13:30 | Lunch |
| 13:30 - 15:00 | R for Social Science Data |
| 15:00 - 15:30 | Refreshment Break |
| 15:30 - 16:30 | R for Social Science Data |
| 16:30 | END |
We will use this collaborative document for chatting, taking notes, and sharing URLs and bits of code.
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.
For this workshop you will need a spreadsheet program. Many people already have Microsoft Excel installed, and if you do, you're set! If you need a spreadsheet program, there are a few other options, like OpenOffice and LibreOffice. Install instructions for LibreOffice, which is free and open source, are here.
For this lesson you will need OpenRefine and a web browser. Note: this is a Java program that runs on your machine (not in the cloud). It runs inside a web browser, but no web connection is needed.
Check that you have either the Firefox or the Chrome browser installed and set as your default browser. OpenRefine runs in your default browser. It will not run correctly in Internet Explorer.
Download software from http://openrefine.org/
Create a new directory called OpenRefine.
Unzip the downloaded file into the OpenRefine directory by right-clicking and selecting "Extract ...".
Go to your newly created OpenRefine directory.
Launch OpenRefine by clicking google-refine.exe (this will launch a command prompt window, but you can ignore that - just wait for OpenRefine to open in the browser).
If you are using a different browser, or if OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to use the program.
Check that you have either the Firefox or the Chrome browser installed and set as your default browser. OpenRefine runs in your default browser. It may not run correctly in Safari.
Download software from http://openrefine.org/.
Create a new directory called OpenRefine.
Unzip the downloaded file into the OpenRefine directory by double-clicking it.
Go to your newly created OpenRefine directory.
Launch OpenRefine by dragging the icon into the Applications folder.
Use Ctrl-click/Open ... to launch it.
If you are using a different browser, or if OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to use the program.
Check that you have either the Firefox or the Chrome browser installed and set as your default browser. OpenRefine runs in your default browser.
Download software from http://openrefine.org/.
Make a directory called OpenRefine.
Unzip the downloaded file into the OpenRefine directory.
Go to your newly created OpenRefine directory.
Launch OpenRefine by entering ./refine into the terminal within the OpenRefine directory.
If you are using a different browser, or if OpenRefine does not automatically open for you, point your browser at http://127.0.0.1:3333/ or http://localhost:3333 to use the program.
R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.
Install R by downloading and running this .exe file from CRAN. Also, please install the RStudio IDE. Note that if you have separate user and admin accounts, you should run the installers as administrator (right-click on .exe file and select "Run as administrator" instead of double-clicking). Otherwise problems may occur later, for example when installing R packages.
Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.
You can download the binary files for your distribution
from CRAN. Or
you can use your package manager (e.g. for Debian/Ubuntu
run sudo apt-get install r-base and for Fedora run
sudo yum install R). Also, please install the
RStudio IDE.