Exploratory Data Analysis and Visualisation with Observable Plot

In Person

This two-hour workshop will teach you how to follow an exploratory data analysis pipeline with Observable Plot, a new JavaScript library based on the Grammar of Graphics, that proposes a simple yet expressive interface to create powerful graphics easily shareable on the web. 

Observable Plot allows you to create many visualisation types, from a basic line chart, to slope charts, maps, contour plots, and more. It makes data visualisation simple, but also easily customizable, by letting you modify all types of encodings (colours, shapes, projections, opacity, stroke, etc.) with little effort using the same grammar. 

This focus on simplicity and expressiveness lets us potentially create many visualisations on different facets of the data, showcasing patterns and relationships present in the data that could showcase interesting insights. 

This is an intermediate level course. You will need some familiarity with basic data visualisations and JavaScript. Some experience with programming (in any language) is also beneficial. If you would like to familiarize yourself with JavaScript prior to the course, you may want to work through part of the W3Schools JavaScript guides (https://www.w3schools.com/js/ https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Introduction).

This workshop will be taught by Alexis Pister.

Those who have registered to take part will receive an email with full details on how to get ready for this course. 

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.

You may be interested in this other training event: 

Creating Custom Data Visualisations with Observable Notebooks & D3

Return to the Training Homepage to see other available events.