Data Carpentry: From Data Wrangling to Data Visualisation

People working, graph overlay

 

Online

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. 

This course will cover the following topics: 

  • Data Organisation with Spreadsheets 

  • Cleaning Datasets with OpenRefine 

  • Introduction to Data Analysis with RStudio  

This is a beginner-level event, and no previous knowledge of the method is required.  

If you’re new to this training event format, or to CDCS training events in general, read more on what to expect from CDCS training. Here you will also find details of our cancellation and no-show policy, which applies to this event. 

 

Course Schedule:  

23 October

  • Data Organization in Spreadsheets 

24 October 

  • Cleaning Data with OpenRefine 

25 October 

  • Intro to R and RStudio  

 

Requirements: click here for setup instructions. PLEASE COMPLETE THE SETUP IN ADVANCE OF EACH RELEVANT SESSION.  

For full details of each session, visit the course webpage.  

 

If you're interested in other training on data wrangling and data visualisation you can look at the following: 

 

Return to the Training Homepage to see other available events.

You might be interested in

Graphic for a workshop titled ‘Using API for Research.’ The background is a black-and-white photograph of people working with printing equipment and patterned sheets. A large magenta ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Using API for Research

Graphic for an event titled ‘BYOD Festival.’ The background is a black-and-white photograph of people sitting around a table, drinking tea and playing cards. A large magenta ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Bring Your Own Data (BYOD) Fest

Graphic for a workshop titled ‘Getting Started with Descriptive Statistics.’ The background is a black-and-white photograph of people reading and working in a library. A large magenta ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Getting Started with Descriptive Statistics

a yellow tinged photo of people entering a building, with the text "Brad Rittenhouse, Project Deep Dive"

Giving Humanists a Helping Hand in HPC

Graphic for a workshop titled ‘Data Viscualisation’ The background is a collage of historical printed text with an overlaid image of a wolf. A large green ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner

Digital Method of the Month: Data Visualisation

Graphic for a workshop titled ‘Introduction to Geographical Data with QGIS.’ The background shows an old map of the world with detailed illustrations. A large teal ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Intro to Geographical Data with QGIS

an old map of Acotland with the text "Jennifer Smith & Brian Aitken, Project deep Dive"

Who Speaks Scots Where: What Crowdsourcing Reveals

Graphic for a workshop titled ‘Foundations of Webscraping.’ The background is a black-and-white photograph of students working together in a design studio with maps and models. A large teal ampersand featuring an illustration of Ada Lovelace is placed on the left. The logo of the Centre for Data, Culture & Society (DCS) appears in the top right corner.

Collecting Data from the Web: Foundation of Webscraping