Name: Collaborative, Web-Based Graphing with R, Python, MATLAB, Excel, & Your Team
Start: 2015-05-06T18:00:00-06:00
End: 2015-05-06T21:00:00-06:00
Location: Rock Bottom

Rock Bottom Restaurant & Brewery - Wednesday May 6, 2015 @ 6:00pm MDT

NOTE: For folks unable to attend in person register and we will email you a livestream link 2 hours prior to event.

Location: Rock Bottom Brewery - 16th Street Mall #100, Denver, CO 80265 - Map: https://goo.gl/maps/Pphtt

Agenda:

6:00 - 6:20 Schmooze - Food shall be served

6:20 - 6:30 Announcements

6:30 - 8:00 Collaborative, Web-Based Graphing with R, Python, MATLAB, Excel, & Your Team by Matt Sundquist

8:00 - 8:30 Networking

Collaborative, Web-Based Graphing with R, Python, MATLAB, Excel, & Your Team - Abstract:

This talk will review seven of the most famous graphs ever made, explain their meaning, and examine how you can make interactive versions of these graphs (and many more) with Plotly, D3.js, Python, R, and a web app. Along the way, we'll look at exciting new web technologies for graphing and data analysis and discuss data visualization best practices. Our primary tool will be Plotly (https://plot.ly (https://plot.ly/)).

Plotly is a platform for making graphs and analyzing data with Excel, Python, MATLAB, R, and our web app. Plotly has 2D, 3D, and streaming graphs, plus stats, fits, functions, and data wrangling. Over 100,000 people have joined the community. Plotly Enterprise Server is running in many corporations today. Founded in Montréal, Plotly also has teams in San Francisco and Boston.

Matt Sundquist - Bio

Matt is a Co-founder and COO at Plotly. He previously worked on the Privacy Team at Facebook, wrote for SCOTUSblog.com and Akin Gum's Supreme Court practice, and was a Fulbright Scholar in Argentina. 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.

Michael Malak

Data Science & Business Analytics

Technology

Data Visualization

Business Intelligence

Data Management

Machine Learning

Predictive Analytics

NoSQL

Hadoop

R Project for Statistical Computing

Data Mining

Data Analytics

Big Data

Collaborative, Web-Based Graphing with R, Python, MATLAB, Excel,  & Your Team

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