Marco Chiapello, Alexander Botzki, Laurent Gatto
Axelle Loriot, Kevin Missault, Theo Killian, Christof De Bo
The goal of this workshop is to initiate wet-lab scientists, such as
biomedical researchers, to reproducible data analysis with R. The
Data organisation in spreadsheets section will focus on tabular data
structure and management. We will then introduce OpenRefine and how
it can be used for initial data exploration and cleaning. The biggest
part of the workshop will focus on R. We will start with a general
presentation to the RStudio software, a popular interface and editor
for R, will introduce the basics of R, and then move on to analysing
data in tabular format, as defined in the first section. We will focus
on dplyr and ggplot2, two widely used packages for data
manipulation and analysis, and data visualisation.
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.
Registration and payment
The workshop is now full.
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).
Code of Conduct: Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
Accessibility: 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. lactation facilities) please get in touch (using contact
details below) and we will attempt to provide them.
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
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.