R workshop XVIII: rCharts (make interactive d3.js type of visualization with R)

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Posted on May 9, 2014

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NYC Data Science Academy is offering five relative courses:

RSVP Data Science with R, Beginner Level

RSVP Data Science with R, Intermediate Level

RSVP Introduction to Data Science by R, 2 Full Days

RSVP RStudio's Master R Developer Workshop 2 Days

RSVP 20 Most Popular R Packages Series - Knitr - Dynamic Reporting

RSVP 20 Most Popular R Packages Series - Shiny - Web Applications


Video:


Meetup Announcement:

In this workshop, Professor Ramnath Vaidyanathan introduced his R package, rCharts, that allows one to create interactive data visualizations straight from R by leveraging multiple javascript based visualization libraries.

Speaker: Ramnath Vaidyanathan, Advisory Data Scientist and our rCharts/Slidfy/Shiny Instructor, is an Assistant Professor of Operations Management at McGill University.  He holds a Ph.D. in Operations Management from the Wharton School of UP, and worked as a Business Analyst at McKinsey & Company before advising SupStat. He has great passion for R and has developed two R packages, Slidify and rCharts, both aiming at simplifying the creation and sharing of interactive web-based content with R.

Outline:
1. Introduction to rCharts
2. Creating Visualizations
3. Sharing Visualizations
4. Adding Interactive Controls
5. Case Studies
6. Creating Custom Visualizations

Source and Slides: 

https://github.com/rcharts/NYC_May_2014


Other Useful Info Link:
NY Times replication: http://rcharts.io/nytinteractive/
Map provider list: http://leaflet-extras.github.io/leaflet-providers/preview/

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