Publications by Lee Pang
Facing your data
A few years ago, I came across a post on FlowingData about using Chernoff Faces as a fun way to visualize multidimensional data: > The assumption is that we can read people's faces easily in real life, > so we should be able to recognize small differences when they represent data. > Now that's a pretty big assumption, but debate aside, they're ...
3962 sym R (3980 sym/13 pcs) 8 img
Facing your data
A few years ago, I came across a post on FlowingData about using Chernoff Faces as a fun way to visualize multidimensional data: > The assumption is that we can read people's faces easily in real life, > so we should be able to recognize small differences when they represent data. > Now that's a pretty big assumption, but debate aside, they're ...
3962 sym R (3980 sym/13 pcs) 8 img
Paging Widget for Shiny Apps
In my last post I described how I built a shiny application called “DFaceR” that used Chernoff Faces to plot multidimensional data. To improve application response time during plotting, I needed to split large datasets into more manageable “pages” to be plotted. Rather than take the path of least resistance and use either numericInput o...
8313 sym R (8887 sym/20 pcs) 2 img
Paging Widget for Shiny Apps
In my last post I described how I built a shiny application called “DFaceR” that used Chernoff Faces to plot multidimensional data. To improve application response time during plotting, I needed to split large datasets into more manageable “pages” to be plotted. Rather than take the path of least resistance and use either numericInput o...
8313 sym R (8887 sym/20 pcs) 2 img
Desktop DeployR
I'm going to be giving a talk this Thursday at my local R/Data Science Meetupabout my method for deploying self contained desktop R applications. Since my original post on the subject (over 2 years ago!) I've made manyof improvements thanks to the many useful comments I received and my own “dog-fooding”.So many in fact that the framework is a...
3987 sym R (269 sym/2 pcs)
Desktop DeployR
I'm going to be giving a talk this Thursday at my local R/Data Science Meetupabout my method for deploying self contained desktop R applications. Since my original post on the subject (over 2 years ago!) I've made manyof improvements thanks to the many useful comments I received and my own “dog-fooding”.So many in fact that the framework is a...
3981 sym R (269 sym/2 pcs)