Transferable skills | ICT | Research
Data Carpentry with R
This workshop provides a hands-on introduction to working with (survey) data for analysis and visualisation. We explore the possibilities and limitations of spreadsheet software and software for cleaning tabular data, and use the R programming language to create a reproducible analysis report with visualisations.
- Target group
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Lecturer
Non-academic staff
Researcher
Postdoctoral researcher
PhD candidate - Teachers
- Peter Verhaar (University Lecturer) Ben Companjen (Digital Scholarship Librarian)
- Method
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Workshop
- Study material
- https://datacarpentry.github.io/socialsci-workshop/
What you will learn
This workshop provides a hands-on introduction to working with (survey) data for analysis and visualisation. Participants learn:
- Spreadsheets: how to organize tabular data, handle date formatting, carry out quality control and quality assurance and export data to use with downstream applications
- OpenRefine: how to use the OpenRefine application to explore, summarize, and clean tabular data reproducibly
- R: how to import data into R, calculate summary statistics, and create a reproducible analysis report with publication-quality graphics
Target audience
The workshop is open to graduate students and other researchers from Leiden University, Erasmus University Rotterdam, Vrije Universiteit Amsterdam and TU Delft.
We expect no previous experience, but do expect active participation.
About Data Carpentry workshops
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.
Leiden University Libraries co-organises Data Carpentry workshops with TU Delft, Erasmus University Rotterdam and VU Amsterdam.