Hack Session One: Citi Bike Sharing Viz (using rCharts & Slidify)
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Many thanks go to PlaceIQ for providing the space of this event!
Special thanks go to Ramnath Vaidyanathan for giving such a great workshop!
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
Slides:
Meetup Announcement:
Speaker:
Ramnath Vaidyanathan, Advisory Data Scientist, and our rCharts/Slidfy/Shiny Instructor. Dr. Vaidyanathan 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:
In order to digest intensive learning expereince from R workshop II: Data to Interactive Reports, Ramnath scheduled 5 hack sessions to follow up with certain resources and progress of hacking. Through those sessions, people would help each other to make each example work on our own laptops.
All the hack sessions were arranged on Thursday night 6:30-9pm.The first session was about Citi Bike Sharing example.
Other Useful Info Link:
About Citi Bike Sharing:
Blog: http://ramnathv.github.io/bikeshare/index.html
Final Project: http://glimmer.rstudio.com/ramnathv/BikeShare/
Repo: https://github.com/ramnathv/bikeshare
Reference:
Past Event: https://nycdatascience.com/2013/07/r-workshop-ii-data-to-interactive-reports/
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