Sefako Makgatho University

31 Oct - 2 Nov, 2018

Wednesday 11:00 - 16:30, Thursday 9:00 - 16:30, Friday 9:00 - 13:00

Instructors: Anelda van der Walt, Mamsi Khantsi

Helpers: Hendrik Pieterse, Abisola Sholeye, Kazeem Alayande, Rorisang Mmushi

Sefako Makgatho Health Sciences University Rural Campuses Connection Project II

General Information

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 funded through the Rural Campuses Connection Project II (RCCPII).

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: E-Learning Center, Sefako Makgatho University. Get directions with OpenStreetMap or Google Maps.

When: 31 Oct - 2 Nov, 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. 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 anelda.vdwalt@gmail.com for more information.

Registration: Please complete the online registration form at https://goo.gl/forms/EsPHuCsZlUWqLTp43. Limited space is available. The workshop is free to attend but a R500 no-show fee will be payable by registered participants who does not show up to the workshop without giving the workshop organisers at least 1 week notice.


Surveys

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

Pre-workshop Survey

Post-workshop Survey


Schedule

Day 1

Before starting Pre-workshop survey
10:00 - 11:00 (optional) Assistance with software installation. All software must be installed by 11:00 for participants to join workshop. See "Setup" below for instructions.
11:00 - 11:30 Welcome by Prof Olalekan Ayo-Yusuf, DVC Research, Postgraduate Studies and Innovation
11:30 - 12:30 Data organisation in Spreadsheets
12:30 - 13:30 Lunch Break
13:30 - 15:00 Data Organisation in Spreadsheets continue
15:00 - 15:30 Coffee Break
15:30 - 16:30 Cleaning Data with OpenRefine
16:30 END

Day 2

</tr>
09:00 - 09:15 Welcome back and recap
09:15 - 10:30 Cleaning Data with OpenRefine
10:30 - 11:00 Coffee Break
11:00 - 12:30 Data Analysis and Visualisation in R
12:30 - 13:30 Lunch Break
13:30 - 15:00 Data Analysis and Visualisation in R
15:00 - 15:30 Coffee Break
15:30 - 16:30 Data Analysis and Visualisation in R
16:30 END
Post-workshop survey
END

Day 3

09:00 - 09:15 Welcome back and recap
09:15 - 10:30 Data Analysis and Visualisation in R
10:30 - 11:00 Coffee Break
11:00 - 12:30 Online resources, study groups, continuous learning, and next steps at SMU
Post-workshop survey
END

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


Syllabus

Data Organisation in Spreadsheets

Open Refine

Data analysis and visualisation in R


Setup

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.

R

R is a programming language that is especially powerful for data exploration, visualization, and statistical analysis. To interact with R, we use RStudio.

Windows

Video Tutorial

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.

macOS

Video Tutorial

Install R by downloading and running this .pkg file from CRAN. Also, please install the RStudio IDE.

Linux

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 dnf install R). Also, please install the RStudio IDE.

OpenRefine

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.

Windows

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.

Mac

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.

Linux

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.