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Designed & taught by Kevin Quealy (Graphics Editor, NY Times).
Wed, Sep 16, 2015 @ 06:30 PM   $2500   Metis, 27 E 28th St, 3rd Fl
 
     
 
 
              

      
 
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LOCATION
EVENT DETAILS
New York City
September 16 - October 28*
Mondays & Wednesdays
6:30pm - 9:30pm
$2,500

DESIGNED & TAUGHT BY KEVIN QUEALY
Graphics Editor, The New York Times

Kevin Quealy is a graphics editor at The New York Times and a contributor to The Upshot, the Times' data-centric vertical about policy, politics and everyday life. He has taught journalism and data visualization courses at N.Y.U., the University of California-Berkeley and the City University of New York. Before coming to The New York Times, Kevin served as a Peace Corps volunteer in South Africa. He has a Master's degree from the Missouri School of Journalism and a B.A. in physics from Gustavus Adolphus College in St. Peter, Minnesota.

COURSE OVERVIEW

This is a course about data visualization and D3, the powerful Javascript library frequently used to create data visualizations on the web. We use the library extensively at the Times - its creator, Mike Bostock, was a colleague for three years.

D3 can be challenging to learn, and lots of the difficulty comes with learning syntax and understanding data joins, probably the most fundamental aspect of D3. On top of that, there are the headaches associated with what Hadley Wickham has called the "fiddly bits" of charts: scales, axes, labels, annotations and the like. These basically come for free with software like Excel, R, Chartbuilder or Data Wrapper, but with D3 you're in charge of every pixel, which makes it incredibly powerful.

WHY D3?

Ultimately, the reason to learn D3 instead of or in addition to those other (great!) programs is because it enables you to tell stories and communicate information interactively in ways that are simply not possible outside a web browser. Making these kinds of applications is worth a little bit of extra headaches up front.

WHO IS THIS COURSE FOR?

This is a course for anyone who wants to be proficient in the use of D3 and seeks expertise visualizing quantitative information. This course will not make you a data scientist. (For that, Metis offers a licensed, accredited bootcamp).

About a third of our course will be discussions and theory. We'll read from classic data visualization texts, discuss the merits and flaws of work published at some of the world's best institutions and get a strong understanding of effective visual communication.

So even if you're already an expert at Javascript and D3, this course will help you select the right form, hone in on the best way to communicate your idea, and build it!

PREREQUISITIES

This course is open to beginners, but students should have experience writing HTML, CSS and basic JavaScript. For HTML/CSS, you should know how to work with the DOM and be familiar with CSS selectors. For Javascript, you should be familiar with variables, data types, arrays, loops and conditional statements, and you should have worked with functions and objects. For Git and GitHub, you should be familiar with forking, cloning, pull requests, and branches. Finally, you should have a general idea of working with and manipulating structured data.
 
 
 
 
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