Learn to visualize your data like an expert with these practical how-tos for presentation, analysis, and understanding.
Mapping geographic data in R can be tricky, because there are so many…
A detailed guide for R users who want to polish their charts in the popular graphic design app for readability and aesthetics.
In the the last part of the four-part series, you make a longer animation with more data and annotate.
How to make a bunch of maps and string them together to show change.
How to make a more readable and more visually accurate map, before you dive into the big transitions.
Rarely do you have evenly-spaced data across an entire geographic space. Here is a way to fill in the gaps.
There are many ways to show parts of a whole. Here are quick one-liners for the more common ones.
Try the more element-based approach instead of your traditional histogram or boxplot.
Use a force-directed graph to form a collection of bubbles and move them around based on data.
Instead of traditional pie charts that rely on angles and arc lengths to show parts of a whole, try this easier-to-read version.
Let the data speak for itself they say. That doesn't work a lot of the time, and when that happens, you need to explain.
Learn to visualize temporal patterns in a couple of days.
Show connections and changes over time with start and end points.
Whether you use circles as visual encodings or as a way to highlight areas of a plot, there are functions at your disposal.
R makes it easy to add squares and rectangles to your plots, but it gets a little tricky when you have a bunch to draw at once. The key is to break it down to the elements.
deldirpackage by Rolf Turner makes the calculations and plotting straightforward, with a few lines of code.
Make sure you explain your visual encodings so that others can interpret them.
Stacked area charts let you see categorical data over time. Interaction allows you to focus on specific categories without losing sight of the big picture.
For presentation purposes, it can be useful to adjust the style of your axes and reference lines for readability. It's all about the details.
Provide a slider for the standard bar chart so that users can shift focus to a point of interest.
Make a bunch of charts, string them together like a flip book, and there's your animation. Sometimes good for showing changes over time. Always fun to play with.
Quickly compare two time series variables with this line-area chart hybrid that originated in the 1700s. Also known as: difference chart.
The conterminous United States always gets the attention, while Alaska and Hawaii are often left out. It is time to bring them back into view.
It's like working with a bunch of tiny dots, and oh look, all of sudden patterns emerge.