Brouhaha: D3 Basics & D3 Mapping

D3 is awesome. When I first saw it, I'd never seen anything like it, and I learned it as quickly as I could so I could sell a client on its use. Even if you know javascript well, it can still take a while to add D3 to your proverbial Bat Belt, so we've put together a two part presentation on 1) the basics of D3 and 2) creating maps with D3.

D3 Basics:

Will Carroll the principal at develop_for is both a developer and designer. He has a background in design and development working with organizations, which include Ogilvy, Razor Fish, National Geographic, National Environmental Education Foundation and the DC Government to name a few. Will focuses on developing for data, data visualizations and web applications to help people understand the data to make better decisions.

D3 Mapping:

Trevor is a full stack developer and designer at Conveyal where he builds transit information software products including visualization tools and journey planning engines.

Announcements:

• Data Viz Workshop: Mapping all the Way, With D3 (https://www.meetup.com/Data-Visualization-DC/events/182721742/)

• Data Science DC: Examining the Shape of Data through Topological Data Analysis (https://www.meetup.com/Data-Science-DC/events/177211062/)

• Data Wranglers DC: Reducing the Pain with (More) Good Tools (Not All) in R (https://www.meetup.com/Data-Wranglers-DC/events/171768162/)

• Statistical Programming DC: Natural Language Processing tools (https://www.meetup.com/stats-prog-dc/events/177772322/)

Agenda:

• 6:30 - Doors open, networking

• 7ish - Introductions & Announcement

• 7:15 - Will Carroll

• 7:45 - Trevor Gerhardt

• 8:15 - Q&A

• 8:45pm - Data Drinks @ Washington Post!

History:

In case you're a little new to D3, it began in 2009 based on Prefuse and Flare, creating Protovis, a JavaScript library to generate SVG graphics from data. In 2011, the development of Protovis evolved into D3.js. Designed to provide a more expressive framework that, at the same time, focused on web standards and provides improved performance (Bostock, Heer & Ogievetsky 2011).

Sponsors:

Cloudera, SynglyphX, Statistics.com, General Assembly, Continuum Analytics, TandemNSI

• Statistics.com (Use code 'DC2' and receive 15% off all courses)

If you or your organization would like to donate or sponsor, please feel free to reach us through meetup, @DataVizDC, @DataCommunityDC, or dvdc@datacommunitydc.org