Data Visualisations with Twitter and Processing V2
Back by seriously popular demand…
This workshop will show you how to programme a real-time graphical visualisation using live Twitter data.
You will create your visualization using Processing. Processing is an open source programming language and integrated development environment (IDE) built for the electronic arts and visual design communities. You can download Processing here: http://processing.org/download/
You will need your code to communicate with the Twitter API to retrieve tweets and information about users and their connections. To avoid running into bandwidth limitation problems, you must authenticate using your own Twitter account details. Please create a Twitter account before the workshop if you do not already have one.
We will cover the basic principles of Processing, working with pre-existing example code to highlight how it functions and the type of visuals you might want to create.
You will design your Processing sketch using Twitter4J, a java library for the Twitter API. We will the look at how to install and use the Twitter4J library and cover some of the queries that it supports to give you an idea of the type of information you can extract from the Twitter API.
By the end of this workshop you will know how to produce a simple visualization using Twitter that will change in real time, and think about how you can incorporate an element of user interaction or simply display information in an illuminating or aesthetically pleasing way.
What you will need to do in advance of this workshop
Download Processing: http://processing.org/download
Create a Twitter account: http://www.twitter.com
Shauna Concannon, a literary studies grad turned electrical engineer, Shauna swapped Samuel Beckett for Alan Turing, taking up a PhD in the School of Electronic Engineering and Computer Science at Queen Mary in the University of London.
18th May ‘2013 11.30am – 4pm
SPACE 129—131 MARE STREET LONDON E8 3RH
Only £35!!! This is a women only workshop. :) Sign Up!
Generously supported by