Building Data Visualizations on the Web
Title: Building Data Visualizations on the Web
Workshop Lead: Phil Renaud
Host: Jodrey School of Computer Science and the Acadia Institute for Data Analytics
Date/Time: November 20, 6:30-9:00pm
Location: Patterson Hall, Classroom 107
Abstract: Learn how to gather, parse, and visualize data using freely-available web-based tools. We'll discuss modern best-practices for data visualization, how to collect non-tabular data from diverse sources and transform it into usable information and represent it visually -- in the form of tables, charts, and even complex network graphs. Sorry, this intro will not allow sufficient time to explore data brought by the participants.
Audience: Post-secondary students, faculty, staff, business and industry persons. All participants must bring their own laptop (Mac or Windows preferred), and should be comfortable with using software such as a text editor, Excel, and a web browser.
6:30 - Arrival, registration and refreshments
7:00 - History and importance of data visualization
-State of modern data visualization on the web,
-Intro to a basic web-based toolkit (chrome, observable)
-Capturing and manipulating data on the web
7:45 - Break and refreshments
8:00 - Tutorial on how to visualize said data (using D3, using Gephi)
9:00 - Summary and farewell
Prerequisite hardware and software: All participants must bring their own laptop (and charger) that can connect via WiFi to the Acadia network. The laptop must have a current version of the Chrome browser and a text/code editor (eg: Notepad, TextEdit, Visual Studio Code, Eclipse, Sublime). In advance, please install Gephi - the free open graph visualization software (https://gephi.org/).