Plotly: Collaborative, web-based plotting for R, Python, Julia, MATLAB and SAS

Plotly (https://plot.ly) is a new web-based platform for making graphs and analyzing data. Plotly's APIs and web app let teams work together online to make 2D, 3D, and streaming graphs using R, Python, MATLAB, Julia, SAS, and and Excel, all together, all in one platform. The goal is to support technical and non-technical collaboration at all levels. Plotly translates ggplot2, matplotlib, and MATLAB plots into interactive, web-based, shareable plots. Graphs are rendered in D3.js (a popular JavaScript visualization library), and interactive out of the box. Plotly is free for unlimited public sharing, lets you control privacy and collaboratively edit graphs from different languages and environments, and you always own your data. The goal is to be a GitHub for sharing data and plots.

In this talk, we'll make graphs with Plotly's APIs (https://plot.ly/api), and use Plotly's statistical tools, data analysis tools, and web app. We'll show how Plotly and the new IPython kernels for multiple languages support plotting across languages and libraries. We'll also discuss data visualization concepts and ideas.

About the speaker:
Matt Sundquist is a co-founder and COO at Plotly, a graphing and analytics project. Matt studied philosophy at Harvard College, then worked as a writer for SCOTUSblog.com and for Akin Gump's Supreme Court practice. He was a Fulbright Scholar in Argentina, and a Student Fellow of the Harvard Law School Program on the Legal Profession. He previously worked on the Privacy Team at Facebook. He has published articles on the Supreme Court, privacy, the social contract, and sundials. He has been cited in Senate Judiciary Committee Testimony, the New York Times, and Yale Law Journal and is a member of the CA Vital Statistics Advisory Committee. He lives in San Francisco.