Countries of refugees to the US in 2014 and their destinations

A tweet from Kyle Walker introduced me to data from the Office of Refugee Resettlement from the US Department of Health and Human Services. Using multiple R packages such as shiny, rCharts, rcdimple, leaflet, and d3heatmap, this post looks at the countries of 69,986 refugees in 2014 and their destinations in the US. All charts are interactive and the code for generating them and the shiny apps can be found in the Refugees repository in my account on GitHub. 

Click the link to go to the post:  http://patilv.com/USRefugees/

Interactive charts using htmlwidgets

This was a deck used in my presentation to the Inland Northwest R user Group this past Friday (November 6, 2015). The introduction of htmlwidgetshas opened up a wide-range of options for R-users without having the need to pick-up on JavaScript to create great charts and I would like to thank the great work of many in the community, including R-Studio, Ramnath Vaidyanathan and Kenton Russell for htmlwidgets and the many widget developers. Please click this link to visit the blog post: http://patilv.com/introtohtmlwidgets/

Display of Geographic Data in R

This was a deck used in my presentation to the Inland Northwest R user Group this past Friday (August 14, 2015). It relies on the work done by many folks, including Ari Lamstein, Kyle Walker, Erik Erhardt, and the kind folks at R-Studio. Please click on this link to visit the blog post: http://patilv.com/introtomapping/

Air Pollution (PM10 and PM2.5) in Different Cities using Interactive Charts

Gardiner Harris, who is a South Asia correspondent of the New York Times, shared a personal story of his son’s breathing troubles in New Delhi, India, in a recent dispatch titled Holding Your Breath in India. In this post, I use data from the World Health Organization’s Website to identify and map cities where the air quality is worse than the acceptable levels, measured by the annual mean concentration of particulate matter (PM10 and PM2.5). A link to this was provided in the New York Times article. I use many packages from the R-Studio, Ramnath Vaidyanathan and Kenton Russel team, among others, in this process. Please visit http://patilv.com/airpollution/ for the post.

Shiny for Interactive Application Development using R

This slidify-based deck introduces the shiny package from R-Studio and walks one through the development of an interactive application that presents users with options to subset the iris dataset, generate a summary of the resulting dataset, and determine variables for a scatter plot and a box plot. Please click on this link to visit the blog post: http://patilv.com/shinyapp/