Click here to explore the data for yourself First off — I’ll admit that was my poor attempt at a click-bait title. But if you’re still reading the next paragraph,...continue reading.
We are ready for the third R-Lab, the monthly appointment where we co-work together on a real data science problem using R. This time the R-Lab is promoted by nothing...continue reading.
Here is an assortment of R Shiny apps that you may find useful for exploration if you are in the process of learning Shiny and looking for something different. Some...continue reading.
You’ve just made an amazing plot in R, and the only thing remaining is finding the right colours to use. Arghhh this part is never fun… You’re probably familiar with...continue reading.
You can use R’s Shiny to create an interactive dashboard with this application, make your database explorable without knowing SQL or R!continue reading.
A year ago i wrote about a way to authenticate shiny with Auth0, using Apache: http://blog.datascienceheroes.com/adding-authentication-to-shiny-open-source-edition/ This method works but has some issues, Sebastian Peyrott has written an excellent new...continue reading.
Imagine you bought solar PVC arrays today, sold the power generated to your local utility, and used the proceeds to add new solar arrays each year. What generating capacity would...continue reading.
I’d like to share some tips and recommendations on building htmlwidgets, based on my own learning experience while creating timevis. These tips are mostly concerned with making your htmlwidget more...continue reading.
This document contains a collection of various Shiny tricks that I commonly use or that I know many people ask about. Each link contains a complete functional Shiny app that...continue reading.
WASP and other flow and water quality models ask users to input multiplier and exponent values relating velocity and depth to discharge. These relationships take the form of V=aQ^b and...continue reading.
Analyzing my (and others’) git activity – Click here to explore the data yourself Yesterday I saw this retweet from @timelyportfolio that links to a gist by @gka. The gist...continue reading.
In 2014, EPA documented the relative lack of nutrient data from waste water treatment plant effluents, even though development of surface water quality standards for nitrogen and phosphorus has been...continue reading.
Monte Carlo analysis is a great way to explore the impact of input variable uncertainty on the results of engineering equations, and with vector variables and distribution and sampling functions...continue reading.