Aug 3-4, 2016
8:30 am - 4:30 pm
Instructors: Daniel Chen, K. Arthur Endsley
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 teaches basic concepts, skills and tools for working more effectively with data.
We will cover Data organization in spreadsheets and OpenRefine, Introduction to R, SQL for data management and Data analysis and visualization in R. Participants should 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 aimed at graduate students and other researchers.
Requirements: Participants must register for the workshop through the Federal Reserve Board's internal systems. Any participant who does not have the software installed on their work computer should contact IT for assistance. They are also required to abide by Data Carpentry's Code of Conduct.
Contact: Please mail email@example.com for more information.
Please be sure to complete these surveys before and after the workshop.
|Morning||Data organization in spreadsheets and OpenRefine|
|Afternoon||Introduction to R|
|Morning||SQL for data management|
|Afternoon||Data analysis and visualization in R|
We will use this Etherpad for chatting, taking notes, and sharing URLs and bits of code.
Ordinarily, participants install the relevant software on their own laptops, which they bring to the workshop. For your workshop, the software has been pre-installed on the computers on-site that you will be using.
If you are interested in installing the software we will use on another computer (for use outside of this workshop), 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.