March 29-30, 2018
9:00 am - 4:30 pm
Instructors: Donna Wrublewski, Gail Clement
Helpers: Stephen Davison
Data Carpentry workshops are for any researcher who has data they want to analyze, and no prior computational experience is required. This hands-on workshop, inspired by Data Carpentry but not covering all the required topics to be a full Data Carpentry workshop, will teach basic concepts and skills using the RStudio environment for working more effectively with data.
We will cover Introduction to R, Data analysis and visualization in R, Advanced visualization in R and Introduction to R Notebooks and R Markdown. Participants should bring their laptops and plan to participate actively. By the end of the workshop learners should be able to more effectively manage and analyze data and be able to apply the tools and approaches directly to their ongoing research.
Who: The course is designed for graduate students at Caltech; however, other members of the Caltech community are welcome, if space permits. Caltech graduate students will be given priority for registration.
Where: Sherman Fairchild Library 3rd floor Multimedia Conference Room (MCR) . Get directions with OpenStreetMap or Google Maps.
Requirements: Participants must bring a laptop with a Mac, Linux, or Windows operating sytem (not a tablet, Chromebook, etc.) for which they have administrative privileges. They should have a few specific software packages installed (listed below). They are also required to abide by Data Carpentry's Code of Conduct.
Contact: Please mail dtwrub@caltech.edu for more information.
This workshop requires a registration deposit of $20, covering both days. Please note that all attendees are expected to attend both days - there will be no single-day registration discount offered. Each registration deposit will be completely refunded upon successful check-in during the workshop. Registration will also be refundable via cancellation before March 26, 2018 by 5 PM PDT.
There are two steps to complete your registration for this workshop:
Morning | Introduction to R |
Afternoon | Data analysis and visualization in R |
Morning | Advanced visualization in R |
Afternoon | Introduction to R Notebooks and R Markdown |
To participate in a Data Carpentry workshop, you will need working copies of the described software. Please make sure to install everything (or at least to download the installers) before the start of your workshop. Participants should bring and use their own laptops to insure the proper setup of tools for an efficient workflow once you leave the workshop.
Please follow these Setup Instructions.
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.