Data Carpentry Workshop with R at Smithsonian Conservation Biology Institute
Sep 25-26, 2019
9:00 am - 4:30 pm
Jen Hammock, Mirian Tsuchiya, Mike Trizna, Luis Villanueva
Valentine Herrmann, Erika Gonzalez-Akre, Alex Robillard
Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct
research. Its target audience is researchers and others who create, manage, and use data who have little to no prior computational experience.
Its lessons are domain specific, building on learners' existing knowledge to enable them to quickly
apply skills learned to their own research and daily work.
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. This computer must be able to connect to the Smithsonian's wifi network. 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. 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.
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. We will hold a special pre-workshop installation help session for registrants with installation issues.
R is a programming language
that is especially powerful for data exploration, visualization, and
statistical analysis. To interact with R, we use
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
SQL is a specialized programming language used with databases. We
use a simple database manager called
SQLite in our lessons.