Data Carpentry Workshop at UC Riverside Data Organization in Spreadsheets Part of the UCR Library Summer workshop series, Working With Data
University of California, Riverside ONLINE
August 7, 2020
10:00 a.m. - 12 noon
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).
Accessibility: We are committed to making this workshop
accessible to everybody.
For workshops at a physical location, 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 interact with spreadsheets, we can use LibreOffice, Microsoft Excel,
Gnumeric, or other programs. Commands may differ a bit between programs, but
the general ideas for thinking about spreadsheets are the same.
For this lesson, if you don't have a spreadsheet program already, you can use
LibreOffice. It's a free, open source spreadsheet program.
macOS users who use Apple's Numbers application should note that it does not
contain some of the features (particularly data validation) that we will
be using. Please use LibreOffice or Microsoft Excel instead.