Improve your maps in one line of code changing map projections
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.
Category: ggplot2
Improve your maps in one line of code changing map projections
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.
Geocode address text strings using tidygeocoder
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.
R Esquisse: How to Explore Data in R Through a Tableau-like Drag-and-Drop Interface
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.
Why I Prefer R for Analytics
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.
Show all data in the background of your faceted ggplot
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.
The Music of the Spheres
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.
CRAN and the Isoband Incident – Is Your Project at Risk and How to Fix It
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.
Matplotlib vs. ggplot: How to Use Both in R Shiny Apps
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.
How to Use geom_smooth in R
This tutorial will show you how to use the geom_smooth function in R. It explains what geom_smooth does, explains the syntax, and shows step-by-step examples of how to use this...continue reading.
Little useless-useful R functions – Plotting the decimal and binary conversion
How does the conversion between decimal to binary or from binary to decimal behave? With another useless function, I have plotted the points (x = decimal number, y = converted...continue reading.
Creating a Summoning Salt-style speedrun plot
*Cool 8-bit music plays over a montage of me editing R code*continue reading.
5 Key Data Visualization Principles Explained – Examples in R
Data visualization can be tricky to do right. There are a ton of key principles you need to be aware of. Today we bring you 5 best practices for visualizing...continue reading.
Little useless-useful R functions – Animating datasets
I firmly believe that animation and transition between different data states can give end-users much better insights and understanding of the data, than a single table with data points or...continue reading.
Why R is My Favorite Language for “First Time” Data Scientists
Probably the most common question I get from new data science students is, “Which language should I learn … R or Python?” This is a somewhat complex question to answer,...continue reading.
The Mondrianomies
The Moonies are up on their mountain, the lunatics have taken over the asylum, waiting on the rapture (The Daily Mail, Radiohead) I have not write any post lately, maybe...continue reading.
Self-documenting plots in ggplot2
Including plotting code as an annotation on a plotcontinue reading.
Data Visualization Best Practices: Bar Plots for Shiny Developers
Data visualization is important. It’s so important that how you present your data can affect the success of an app or project. For applications that make heavy use of data,...continue reading.
Little useless-useful R functions – Making boxplot from a picture
Generating violin boxplots from image. Yes, why not. ???? We create a raster image from a picture and calculating the ratio of the pixels on the scale of grayscale. The...continue reading.
