▄▄▄ ▄▄▄
█████▄ ▄▄▄ ▄█████
▄▄▄▄ ▀█████ ▄▄█▓█████▄▄ █████ ▄▄▄ ▄▄▄▄
▄██████████▄████▓ █████████████ ████ ▄█████ ██████
███▓▀▀▀▀█████▓████ █████▀ ▀████▓ ▓███ ▄██▄ █████▓ ▓██████
░▓███▄ ▄████ ████ █████▓ ▓█████▓███ ████ ██████▄ ▄██████▓
████████████▀ ████ █████ █████████ ████▄██▄███████▄███▀████▓
▀███▄ ▄▄▄ ▄████▀ ▓████ █████████ ████████▓███ ▀██▓▀ ████
▀███▄████▄█████ ██████ ████▓█████▄▓████ ▀▀ ████ ▀ ████
▄████▄ ▀▀████████▓ ███████ ▓▓██▀███▀ ▀██████▄██▄ ███ ████
█████████ ▀█▓▀ █████▄▄ ░▓███████▄▄▄████▄██▓ ▀████████████ ████
██████████▄ ▄▄ ▀▀█████▄▄▓████▀███████▀▄███ ▄▄ ████████████ ▓▄▄▄▄ ████▓░
▓█████████████▓▓█▄▄ ▀▀▓▓█████▓░ ▀▀▀ ▄ ▀████▄ ▀██ ████████████ ████▀ ▄███▓
▀███▓▓▓█████████████▄▄▄ ▀▀███▀ ▄███████▄ ▀▀███▄ ▓ ███▓███▓████ ▓█▀ ▄███▀▀
▀▀▀ ▀▀▀▓▓███▄▄▄▄▄███████▀▀▀▀▓ ▀▀ ███▓ ▀▀ ████ ▀ ▀▓▓█▄▄
▀▀▀▀▀▀ ▀▀ ▀██▀ ▀▀▀▀▀
RELEASE NAME....: Lynda.com.Creating.Interactive.Presentations.with.Shiny.and.R-ELOHiM
RELEASE DATE....: 2016-04-27
RELEASE SIZE....: 23x15Mb
FORMAT..........: Bookware
LANGUAGE........: English
URL.............: http://www.lynda.com
Analyzing big data is great, but not if you can't share your results. In
this course, Martin Hadley shows how to create interactive presentations
of large data sets with R, RStudio, and Shiny, an R-based tool for
producing interactive, web-ready data visualizations. Learn why these
tools are important to data scientists, how to configure and install them,
and how to use them to make your findings more clear and engaging.
Discover the different types of presentations you can make right out of
the box with R Markdown templates (built right into RStudio) and how to
customize the templates with CSS. Find out how to register for RPubs to
deploy RStudio presentations for sharing, and then go beyond the basics
with ShinyΓÇöadding interactivity and creating embeddable dashboards
without the need for HTML or JavaScript. This is an exciting course for
analysts who want to increase the relevance and visibility of their work.
Make sure to watch the knowledge checks at the end of each chapter to test
your new skills.
Topics include:
* Installing and configuring RStudio
* Using R Markdown
* Adding slides to templates
* Working with code and charts
* Publishing presentations with RPubs
* Developing interactive charts and visualizations with Shiny
* Deploying presentations with shinyapps.io
* Making Shiny dashboards
Subjects: Big Data, IT, RStudio, Shiny, Rmd, knitr, Rpub
Author: Martin Hadley
Level: Intermediate
Duration: 1h 53m
Released: 4/27/2016