Those working in data visualization know how challenging projects can be. There is no silo for data visualization. To do it well often requires domain experts, designers, analysts and engineers contributing in their own special way. How you bring these diverse skills together again and again through iterations is still more an art than a science.
This month at the D3 MeetUp we have a team from Stanford’s Sports Analytics Club (http://stanfordsportsanalytics.com/) talking to us about how they came together to take second place in Graphicacy’s Major league data challenge (http://cardinalanalytics.github.io/mlb-challenge/). Graphicacy (http://graphicacy.com) is a creative analytics design firm who challenged a host of contestants to visualize the statistics of the 20 top baseball players of all time.
The team consists of Eli Shayer, Scott Powers, Ryan Chen, Daniel Alvarado, and Stephen Spears. During the MeetUp we’ll hear about the conception of their project, their process for effectively working in groups, how they made decisions as well as how d3.js fit into the mix. You can view their submission here.
Following the Stanford team, our presenting sponsor Quid (https://quid.com/) will provide insight into how they've created their enterprise grade visualization. To make a highly performant application, Quid needed to put significant thought into which libraries to include and which to recreate for themselves. During this talk we'll get an understand of how those decisions are made.
6:30 - 7:00: Grub and gab
7:00 - 7:45: Stanford Sports Analytics Club
7:45 - 8:15: Quid, under the hood
8:15 - 9:00: Show and tell
** For those in need of parking check out Parkopedia (http://en.parkopedia.com/parking/62_1st_street_san_francisco_ca_united_states/?ac=1&country=US&lat=37.789905&lng=-122.39832100000001)**