You have the fundamentals of R Highcharts under your belt by now. The next logical step is to introduce a bit more complexity in the code, but for the greater...continue reading.
If you’re looking to take your R data visualization skills to the next level, interactivity is the name of the game. There aren’t too many packages that offer it out...continue reading.
For four years I’ve been following #30DayMapCallenge with admiration but not daring to commit to it. Producing maps was always an accompanying step in my main activities, and towards the...continue reading.
Did you ever think why we (okay, I’m clearly biased, maybe just many of us, humans) love maps so much? Why do they often work so much better than other...continue reading.
Did you ever think why we (okay, I’m clearly biased, maybe just many of us, humans) love maps so much? Why do they often work so much better than other...continue reading.
Deriving coordinates from a string of text that represents a physical location on Earth is a common geo data processing task. A usual use case would be an address question...continue reading.
The days are getting shorter and when we were visiting Down East Maine the other week, there was just a hint of some trees starting to change up their leaf...continue reading.
R Esquisse is an R package that provides an intuitive GUI for creating data visualizations using ggplot2. This package is particularly valuable for stakeholders seeking quick interactive analysis and insights...continue reading.
One of the the questions that I get over and over is, which data science language do I use? I have my own preferences with regards to programming languages, but...continue reading.
It doesn’t take a data scientist to use R – that’s the point we’ll prove in today’s article. If you’re an experienced Excel user, you’ve likely run into some hard...continue reading.
NASA has been collecting surface temperature for more than over 100 years, and the GISS Surface Temperature analysis from 1888 onward. It is an estimate of global surface temperature change....continue reading.
I was cranking out a blog post for work earlier this week that shows off just how many integrations our platform has. I won’t blather about that content here, but...continue reading.
I have graphics working in Vanilla JS WebR, now, and I’ll cover the path to that in two parts. The intent was to jump straight into ggplot2-land, but, as you...continue reading.
One of the game-changing features of ggplot2 was the ease with which one can explore the dimensions of the data using small multiples.1 There is a small trick that I...continue reading.
He himself could hear the harmony of the Universe, and understood the music of the spheres, and the stars which move in concert with them, and which we cannot hear...continue reading.
The modern revolution of big data has led to a boom in business intelligence. But data is only as valuable as the insights it provides. That means the true value...continue reading.
Spatial data is always tougher to visualize than it seems at first. Well, not anymore. R ggmap is an amazing package you can start using almost instantly, after some light...continue reading.
The R community had a recent scare with the isoband package risking archival on CRAN. The reason why this incident made waves is that isoband is a ggplot2 dependency and...continue reading.
Data Science has (unnecessarily) divided the world into two halves – R users and Python users. Irrelevant of the group you belong to, there’s one thing you have to admit...continue reading.
Travelling Salesman Problem is an NP-complete problem and an old mathematical problem. For this useless function, we will look for the nearest city from the previous city (or starting point)...continue reading.
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
