1287 search results for "shiny"

Building Shiny App exercises part 7

February 19, 2017
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Building Shiny App exercises part 7

Connect widgets & plots In the seventh part of our journey we are ready to connect more of the widgets we created before with our k-means plot in order to totally control its output. Of cousre we will also reform the plot itself properly in order to make it a real k-means plot. Read the Related exercise sets:

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Interactive plots in PCA with Factoshiny

February 16, 2017
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Interactive plots in PCA with Factoshiny

A beautiful graph tells more than a lenghtly speach!! So it is crucial to improve the graphs obtained by Principal Component Analysis or (Multiple) Correspondence Analysis. The package Factoshiny allows us to easily improve these graphs interactively. The package Factoshiny makes interacting with R and FactoMineR simpler, thus facilitating selection and addition of supplementary information. The main advantage

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Three R Shiny tricks to make your Shiny app shines (1/3)

February 15, 2017
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Three R Shiny tricks to make your Shiny app shines (1/3)

In this tutorials serie, we are going to see three tricks to do the following in a Shiny app: Add Next and Previous buttons to navigate in a tabBox Build a non completely collapsible sidebar to keep the icon visible on collapse Add button on a datatable output to delete/modify/ do an action on a

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Visualizing Streaming Data And Alert Notification with Shiny

February 13, 2017
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Visualizing Streaming Data And Alert Notification with Shiny

Streaming Data is data that is generated continuously and it includes various sources such as sensors, log files, geospatial services, etc. The data may come at regular intervals and we may want to have a dashboard which updates by itself and incorporates the newly added data so that we can use it for deta driven Email and Text...

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Shiny+Exams

February 10, 2017
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Serving book exercises in the web with Shiny and Exams - As you may know, I recently published a R book in amazon. I decided to keep R exercises out of the book and serve them freely over the web....

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Building Shiny App exercises part 6

February 7, 2017
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Building Shiny App exercises part 6

RENDER FUNCTIONS In the sixth part of our series we will talk about the renderPlot and the renderUI function and then we will be ready to create our first visualization. (Find part 1-5 here). We are going to create a simple interactive scatterplot that will help us see the clusters that are created when we Related exercise sets:

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Reproducible Finance with R: Sector Correlations Shiny App

February 3, 2017
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by Jonathan Regenstein In a previous post, we built an R Notebook that pulled in data on sector ETFs and allowed us to calculate the rolling correlation between a sector ETF and the S&P 500 ETF, whose ticker is SPY. Today, we’ll wrap that into a Shiny app that allows the user to choose a

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Announcing ShinyTester – a package that helps you build Shiny apps

February 1, 2017
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Announcing ShinyTester – a package that helps you build Shiny apps

Shiny is awesome, but can be a bit daunting and easy to make mistakes in. I recently came back to Shiny after a hiatus of a few years and it was much more challenging than I feel comfortable admitting. I was making bonehead mistakes like writing something instead of output$something, confusing where to put Output commands vs Render commands, etc....

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Exploring World Gender Statistics with Shiny

January 28, 2017
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Exploring World Gender Statistics with Shiny

This week I explored the World Gender Statistics dataset. You can look at 160 measurements over 56 years with my Shiny app here. I prepared the data as follows: Data.csv Country.Name: the name of the country Country.Code: the country’s co...

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Building Shiny App Exercises (part 5)

January 24, 2017
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Building Shiny App Exercises (part 5)

RENDER FUNCTIONS In the fourth part of our series we just “scratched the surface” of reactivity by analyzing some of the properties of the renderTable function. Now it is time to get deeper and learn how to use the rest of the render functions that shiny provides. As you were told in part 4 these

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