I am so happy to share the news that my R Shiny app viscover is now featured in the RStudio Shiny Gallery. 🎉 🎉 🎉 It's categorized into the Public Sector section in the Gallery due to its application to the soil survey data and cropland data layer maintained by the USDA. viscover takes its name from VIsulizing Soil and Crop data and their OVERlay. Although my motivation to develop
Inspired by David Robinson‘s keynote talk at the RStudio conference 2019 (summary in the following tweet), I decided to write a post about how I use Yihui‘s fantastic R package blogdown to develop my own personal website.
When you’ve written the same code 3 times, write a function
When you’ve given the same in-person advice 3 times, write a blog post
— David Robinson (@drob) November 9, 2017 Well, there are a lot of useful references to check out.
Anabelle introduced the NYC Squirrel Census data to me today. It also comes from the recommended dataset of #TidyTusday. Both of us adore squirrels 😍. The dataset contains variables which can tell when (Date) and where (longitude X and latitude Y) people saw a squirrel of certain age (Age) and fur color (Primary Fur Color) conducting some activities (Running, Climbing, Chasing, Eating, Foraging or Other Activities).
Having some experience working with leaflet in R, I find it very interesting to visualize this data set on an interactive map.
Here is my solution to one of the 2018 google summer of code project tests. The source code and output are available at http://rpubs.com/lyux/gscoc2018_test.