Visualize Your Data for the Web using D3.js

Learn how to visualize your data from an expert with many years’ experience in the field: Alfie Abdul-Rahman from the Oxford e-Research Centre.

The workshop is aimed at people with little or no programming experience who are interested in learning and using D3.js for data visualization.

This two-day hands-on workshop will provide you with a brief introduction to creating simple web-based data visualizations. You do not need any previous coding experience: the workshop will take you through the process of creating a webpage, loading a data file, creating a simple visualization, and adding some basic interactivity into your visualization. The workshop will use HTML, CSS, and SVG, as well as teaching its core technology, D3.js. D3.js is an open source JavaScript library developed by Mike Bostocks.

The goal of the workshop is to provide you with an idea of what is required in creating a visualization for the web using D3.js. The hands-on experience of the workshop will be useful when you are exploring D3.js examples of code that are available on the web, and modifying them to fit your own data and purposes. By the end of the workshop you will be able to visualize your data ready for publishing online.
Equipment

Participants must bring a laptop with a Mac, Linux, or Windows operating system with WebStorm installed. There is a currently a free 30-day evaluation license available. If you are a student, you can apply for a free license via the WebStorm website (https://www.jetbrains.com/webstorm/) using your University email address.

Places at this workshop are limited and require a commitment to two full days’ attendance: please consider this when registering.

Admission: free

Booking is required: to reserve a place on this two-day workshop, please email Pip Willcox (pip.willcox@bodleian.ox.ac.uk) including:

  •     your name
  •     your University email address
  •     your study level/job title/career stage
  •     your faculty or department affiliation

 

Location: 
Conference Room, University of Oxford e-Research Centre, Keble Road, Oxford OX1 3QG
Wednesday, 31 May 2017 - 9:30am to Thursday, 1 June 2017 - 5:00pm

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