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Web Application Development with R Using Shiny

You're reading from   Web Application Development with R Using Shiny Build stunning graphics and interactive data visualizations to deliver cutting-edge analytics

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Product type Paperback
Published in Sep 2018
Publisher
ISBN-13 9781788993128
Length 238 pages
Edition 3rd Edition
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Authors (2):
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Chris Beeley Chris Beeley
Author Profile Icon Chris Beeley
Chris Beeley
Shitalkumar R. Sukhdeve Shitalkumar R. Sukhdeve
Author Profile Icon Shitalkumar R. Sukhdeve
Shitalkumar R. Sukhdeve
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Table of Contents (11) Chapters Close

Preface 1. Beginning R and Shiny 2. Shiny First Steps FREE CHAPTER 3. Integrating Shiny with HTML 4. Mastering Shiny's UI Functions 5. Easy JavaScript and Custom JavaScript Functions 6. Dashboards 7. Power Shiny 8. Code Patterns in Shiny Applications 9. Persistent Storage and Sharing Shiny Applications 10. Other Books You May Enjoy

Beautiful tables with DataTable

Later versions of Shiny added support to draw tables using the wonderful DataTable jQuery library. This will enable your users to search and sort through large tables very easily. To see DataTable in action, visit the homepage at http://datatables.net/ or run the application featured in this chapter.

The package can be installed using install.packages("DT") and needs to be loaded in the preamble to the server.R and ui.R file with library(DT). Once this is done, using the package is quite straightforward. There are two functions: one in server.R (renderDataTable) and one in ui.R (dataTableOutput). They are used as follows:

### server. R 
output$countryTable = renderDataTable({

mapData %>%
filter(year == 2007) %>%
select(-c(lon, lat))
}) ### ui.R tabPanel("Table", dataTableOutput("countryTable"), value...
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