Online
Sep 26-29, 2022
9:00-13:00u
Instructors: Ruud Steltenpool, Rick de Klerk
Helpers: Rins Rutgers, Lieke de Boer, Gerald Wildenbeest
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.
For more information on what we teach and why, please see our paper "Good Enough Practices for Scientific Computing".
Who: The course is aimed at graduate students and other researchers. You don't need to have any previous knowledge of the tools that will be presented at the workshop.
Where: This training will take place online. The instructors will provide you with the information you will need to connect to this meeting.
When: Sep 26-29, 2022. Add to your Google Calendar.
Requirements: Participants must have access to a computer 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 dedicated to providing a positive and accessible learning environment for all. Please notify the instructors in advance of the workshop if you require any accommodations or if there is anything we can do to make this workshop more accessible to you.
Contact: Please email r.g.steltenpool@saxion.nl for more information.
Roles: To learn more about the roles at the workshop (who will be doing what), refer to our Workshop FAQ.
Everyone who participates in Carpentries activities is required to conform to the Code of Conduct. This document also outlines how to report an incident if needed.
Please be sure to complete these surveys before and after the workshop.
| Before | Pre-workshop survey |
| 09:00 | Welcome & Introduction |
| 09:15 | Data Organization in Spreadsheets |
| 10:45 | Break ☕ |
| 11:00 | Data Organization in Spreadsheets (continued) |
| 12:00 | Break ☕ |
| 12:15 | OpenRefine for Data Cleaning |
| 12:45 | Wrap-up |
| 13:00 | End |
| 09:00 | Introduction to R and RStudio |
| 10:15 | Break ☕ |
| 10:30 | Introduction to R and RStudio (continued) |
| 11:30 | Break ☕ |
| 11:45 | Starting with Data |
| 12:45 | Wrap-up |
| 13:00 | End |
| 09:00 | Starting with Data (continued) |
| 10:15 | Break ☕ |
| 10:30 | Data Wrangling with dplyr and tidyr |
| 11:30 | Break ☕ |
| 11:45 | Data Wrangling with dplyr and tidyr (continued) |
| 12:45 | Wrap-up |
| 13:00 | End |
| 09:00 | Data Visualisation with ggplot2 |
| 10:15 | Break ☕ |
| 10:30 | Data Visualisation with ggplot2 (continued) |
| 11:30 | Break ☕ |
| 11:45 | Processing JSON data |
| 12:30 | Wrap-up & Post-workshop survey |
| 13:00 | End |
De dataset waarop de oefeningen uitgevoerd worden en het lesmateriaal zelf
Voer eerst de algemene Installatie/SetUp uit, behalve het deel SQL.
Heel vervelend, maar waarschijnlijk moet je vantevoren ook zorgen dat OneDrive stopt met RStudio saboteren (wellicht kun je hier hulp van je IT-dienst voor gebruiken).
Bovenstaande doorgestreepte tekst lijkt achterhaald
We gebruiken als gezamenlijk kladblok hackMD
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.
di 20 sept. van 15:00-17:00 is er een on-line sessie om je verder te helpen mocht er iets niet zijn gelukt.
Margriet Miedema en Leon van Ekeren waren qua facilitering betrokken.
We gebruiken Microsoft Teams (ook al staat er in sommige teksten Zoom). We gaan er van uit dat je de applicatie gebruikt, maar misschien is de browser versie ook voldoende. Extra, geavanceerd en alleen doen als je er vantevoren ook mee oefent: schermdelen kan sneller, met virtuele webcam
Like other Carpentries workshops, you will be learning by "coding along" with the Instructors. To do this, you will need to have both the window for the tool you will be learning about (a terminal, RStudio, your web browser, etc..) and the window for the Zoom video conference client open. In order to see both at once, we recommend using one of the following set up options:
The setup instructions for the Data Carpentry Social Sciences workshops (with R) can be found at the workshop overview site.