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R Programming By Example

You're reading from   R Programming By Example Practical, hands-on projects to help you get started with R

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781788292542
Length 470 pages
Edition 1st Edition
Languages
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Authors (2):
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Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
Omar Trejo Navarro Omar Trejo Navarro
Author Profile Icon Omar Trejo Navarro
Omar Trejo Navarro
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Toc

Table of Contents (12) Chapters Close

Preface 1. Introduction to R 2. Understanding Votes with Descriptive Statistics FREE CHAPTER 3. Predicting Votes with Linear Models 4. Simulating Sales Data and Working with Databases 5. Communicating Sales with Visualizations 6. Understanding Reviews with Text Analysis 7. Developing Automatic Presentations 8. Object-Oriented System to Track Cryptocurrencies 9. Implementing an Efficient Simple Moving Average 10. Adding Interactivity with Dashboards 11. Required Packages

Inserting a dynamic data table

Now we will add a dynamic table with the data we simulated in the previous chapter, so first of all, we need to bring that data into the application, and we do so with the line shown below. You should place this data-loading line above the ui object in your app. This way, it will only be run once, when starting up the Shiny application, as any code that would normally be run when executing an R script:

ORIGINAL_DATA <- 
read.csv("../chapter-09/data.csv", stringsAsFactors = FALSE)

At this point, we need to introduce the DT package. It provides an easy way to create dynamic tables for Shiny applications. Since we will reference it through its package name, we don't need to load it with library(DT). Referencing it by its package name helps us separate the native Shiny functions from those that come from external packages.

To implement...

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