November 2017
Beginner to intermediate
366 pages
7h 59m
English
Content preview from R Data Analysis Projects
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Building a RShiny application
Our RShiny application will have the following features:
- Load a transaction file
- Calculate the product pairs and their transaction frequency, and display them
- Display the discovered communities from the product pairs dataset
Let us look at the user interface code:
ui <- fluidPage( navbarPage("Product Pairs", tabPanel("Transactions" , fileInput("datafile", "select transactions csv file", accept = c( "text/csv", "text/comma-separated-values,text/plain", ".csv" ) ) , dataTableOutput("transactions") ), tabPanel("Product Pairs" ,dataTableOutput("ppairs")), tabPanel("Community" ,plotOutput("community")) ))
We have three panels. In the first panel, we select a product transaction file and display it. In our second ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.