January 2014 D3.js Talks

Special thanks to our sponsors PlaceIQ and Pivotal Labs for help with the January 2014 meetup!

Three amazing D3.js Talks: 

Talk 1:
Title: Visualizing the US Budget with D3

Description: An in depth look at http://www.solomonkahn.com/us_budget. An interactive visualization for exploring 35 years of federal budget data.

Bio: Solomon Kahn is in charge of data and analytics at Paperless Post, and on the side hacks on government data. Find him on twitter at @SolomonKahn. Note - Paperless Post is hiring for a bunch of roles so make sure to speak with Solomon.

Talk 2:
Title: Building Custom Analytics with InfluxDB & D3

Description: In this talk I'll introduce InfluxDB, an open source distributed time series database. From there we'll look at building custom analytics dashboards with D3. InfluxDB has an HTTP API that lets users read and write data directly from the browser. I'll talk about the data model and SQL style query language, which make it a good fit for building analytics solutions. This could be analytics and tracking on systems, applications, users, or the business.

Bio: Paul Dix is the co-founder and CEO of InfluxDB (YC W13). He is the author of "Service Oriented Design with Ruby & Rails" and the series editor for Addison Wesley's "Data & Analytics". Paul organizes and founded the NYC Machine Learning meetup in 2009. In the past he has worked at companies big and small including Google, Microsoft, and McAfee.

Talk 3: 
Title: Making Maps with D3

Description: D3 has some very powerful tools for mapmakers, and with its sister library TopoJSON, it's never been easier to turn geographic data into interactive maps on the web. I'll give a quick tour of how to use D3 to escape Google Maps and make your data come alive.

Bio: Evan is a designer/developer at WNYC, and has been putting interactive graphics online since the bad old days of Flash.


6:45pm - Door opens + socializing 
7:00pm - Announcements + Welcome 
7:05pm - Talk #1
7:30pm - Talk #2
8:00pm - Talk #3
8:20pm - Q & A from crowd from/to crowd + Thanks

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