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Customizing Click Events: How to Capture and Store Data from JavaScript Objects in R Variables

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Daina Andries
Wednesday, 17 October 2018 / Published in Analytics, Code, Data, Data Science, Data Visualizations, JavaScript, Machine Learning, R, R-Shiny, Tutorials
Interaction Design for Data Exploration Visualizations capable of launching detail views can add value to a data analyst’s user experience. Programming in this kind of interaction automates the creation of complementary charts and increases ease of exploration by linking varied views of the data in a logical way. This tutorial offers a quick example of
AnalyticsCodeData ScienceJavaScriptRR ShinyTutorials

Exploratory Data Analysis of the CDC’s ‘500 Cities Project’ – Part 2

  • 0
Matt Brown
Wednesday, 28 March 2018 / Published in Analytics, Code, Data, Data Science, Data Visualizations, R, R-Shiny, Uncategorized
Introduction In Part 1, we built an application to geographically explore the 500 Cities Project dataset from the CDC. In this post, we will demonstrate other exploratory data analysis (EDA) techniques for exploring a new dataset. The analysis will be done with R packages data.table, ggplot2 and highcharter. In this post, you will learn how
CodeDataData ScienceData VisualizationExploratory Data ScienceRR Shiny

Exploratory Data Analysis of the CDC’s ‘500 Cities Project’ – Part 1

  • 0
Matt Brown
Friday, 05 January 2018 / Published in Analytics, Code, Data, Data Science, Data Visualizations, R, R-Shiny
Exploratory data analysis (EDA) is generally the first step in any data science project with the goal being to summarize the main features of the dataset. It helps the analyst gain a better understanding of the available data and often can unearth powerful insights. Data visualization is the most common technique in EDA. During this
CodeData ScienceData VisualizationRR Shiny

Selecting Multiple Locations on a Leaflet Map in R Shiny

  • 19
Daina Andries
Thursday, 07 December 2017 / Published in Analytics, Code, Data, Data Science, Data Visualizations, R, R-Shiny, Tutorials
Our team recently designed a dashboard using R Shiny Leaflet allowing users to select many locations at one go on an interactive map. We created the map using the package [crayon-607250e76d6cb731732081-i/], which enables users to draw shapes on R Shiny Leaflet maps. When combined with the package [crayon-607250e76d6d0683509564-i/] and a function called [crayon-607250e76d6d3780972315-i/], the [crayon-607250e76d6d6707562988-i/]  drawing tool can
AnalyticsCodeData ScienceMapsRR ShinyTutorials

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