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.
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).
We are committed to making this workshop
accessible to everybody. The workshop organizers have checked that:
The room is wheelchair / scooter accessible.
Accessible restrooms are available.
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.
To participate in a
you will need access to the software described below. Please install the software *before* you attend the workshop. If you run into trouble with the installation, contact your local IT department or us.
In addition, you will need an up-to-date web browser.
R is a programming language
that is especially powerful for data exploration, visualization, and
statistical analysis. To interact with R, we use
Please install R and RStudio before the course! If you are using your
private computer this should be no problem. You can find installation
instructions for your operating system below.
If you are using a computer that is managed by your IT department, you might
need help from an administrator to install the software. On computers from UiO,
you may be able to install R and RStudio using an application called
*UiO Software Center*. In any case, it would be a good idea to check whether
you can install packages in R. See the instructions below.
During the course you also need to create a directory, download text files and
move them to that directory. This should be possible on all but the most strictly
Install R by downloading and running
this .exe file
Also, please install the
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.
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
Installing R packages
During the course you will need to install R packages. Packages contain useful programs written by other people.
In the course we will use four packages, namely dplyr, tidyr, lubridate, and ggplot2.
However, we recommend installing the tidyverse meta-package instead, which contains these four plus many
other handy packages.
If you are using a private computer, installing packages should be no problem,
but if your computer is managed by your IT department it might be best to try this before the course to avoid
troubleshooting during the course.
To try to install packages, open RStudio and copy and paste the following command into the console window (look for the blinking cursor):
The press the Enter (Windows) or Return (MacOS) key to execute the command. R now tries to download and install a bunch of packages on you machine.
When the installation is finished, you should see a summary of a data set about cars. If there are problems, contact your IT department or us.