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A talk I gave at the Boston University Statistics Student Seminar on April 3rd 2014. The link with the source code I used in the demo is at bit.ly/bustats2014
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Interactive R Visualizations using Shiny and ClickmeNacho Caballero
Traditional plots are static
Javascript visualizations are interactive
Shiny transforms your data into an interactive app
Clickme displays your data in an interactive plot
data <- data.frame(x=c(1,2,3), y=c(4,5,6))
R input
data <- data.frame(x=c(1,2,3), y=c(4,5,6))
R input
<script> var data = {{placeholder}}; interactive_plot(data); </script>
Clickme Template
data <- data.frame(x=c(1,2,3), y=c(4,5,6))
R input
<script> var data = {{placeholder}}; interactive_plot(data); </script>
Clickme Template
clickme(template, data)
data <- data.frame(x=c(1,2,3), y=c(4,5,6))
R input
<script> var data = {{placeholder}}; interactive_plot(data); </script>
Clickme Template
<html> <script type="javascript"> var data = ["x": 1, "y": 4, "x": 2, "y": 5, "x": 3, "y": 6]; interactive_plot(data); </script> </html>
Interactive Visualization
clickme(template, data)
bit.ly/bustats2014