Universiteit Leiden

nl en

Transferable skills | ICT | Onderzoek

Data Carpentry met R

Deze workshop biedt een hands-on inleiding tot het verwerken van (survey)data in analyses en visualisaties. We behandelen hoe je het beste met spreadsheets kunt werken, en gebruiken software voor het opschonen van tabulaire data. Ook gaan we met de programmeertaal R aan de slag om op een reproduceerbare manier analyses uit te voeren en resultaten te visualiseren. De workshop is altijd in het Engels, daarom deze informatie verder ook.

Doelgroep
Docent
Ondersteunend personeel
Onderzoeker
Postdoc-onderzoeker
Promovendus
Docenten
Peter Verhaar  (Universitair docent) Ben Companjen  (Digital Scholarship Librarian)
Werkvorm
Workshop
Studiemateriaal
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.

Deze website maakt gebruik van cookies.  Meer informatie.