Albert Rapp - Series: ggplot2-tips

Three Ways to Include Images in Your ggplots

In this blog post, I show you three ways to include image files into your ggplot2 plots

Creating upset charts with `ggplot2`

In this blog post, I show you how to create upset charts with ggplot2

How to create diverging bar plots

In this blog post, we are going to recreate a beautiful diverging bar plot from the PEW Research Center.

Dot plots as an alternative to bar charts

Bar charts are great for comparing categories. But dot plots put more emphasis on individual data points. In this blog post, I show you how to create such an alternative plot with ggplot2.

Correlation heat maps with `{ggplot2}`

I show you how to create a correlation heat map with {ggplot2}, how to avoid using the wrong colors and how to use some nice variations of standard heat maps.

Combining maps and patterns with `{ggplot2}`

In this video I show you how you can create a map of the US with patterns inside of state borders.

6 Common `ggplot2` Mistakes

Here’s a list of some beginner’s mistakes when it comes to ggplot (and how to avoid them)

5 Powerful `ggplot2` Extensions

ggplot2 is powerful on its own but there are some extensions that make ggplot2 even better. In this blog post, I show you some of the best extensions.

5 Example Charts with `ggplot2`

ggplot2 is an incredibly powerful tool to create great charts with R. But it can be hard to keep all the moving parts in mind in the beginning. So, it helps to have a few examples to get started. In this blog post I show you how to create the most common chart types with ggplot2.

The Ultimate Guide to Get Started With `ggplot2`

ggplot2 is an incredibly powerful tool to create great charts with R. But it has a bit of a learning curve. This tutorial shows you everything you need to know to get started with ggplot

Creating interactive visualizations with `{ggiraph}` (with or without Shiny)

It is really simple to turn a ggplot into an interactive visualization. In this blog post you’ll learn how to do that with {ggiraph}. Also we’ll explore ways to enhance the interactivity with Shiny.

Bar plot checklist

Bar charts are easy to make but hard to perfect. Let’s create a small checklist to make things easier.

Alternatives to paired bar charts

We take a look at a couple alternatives to paired bar charts.

Forget regular heat maps. Use bubbles on a grid!

We explore alternatives for heat maps to take sample sizes into account.

Alternative ways to visualize correlations

We explore alternative correlation matrix plots.

5 hidden gems from gg-packages to level up your dataviz game

This blog post is a quick one. It highlights a few hidden gems (functions) from well-known or not so well-known packages.

Storytelling in ggplot using rounded rectangles

We build rebuild a ‘Storytelling with Data’ plot which uses rounded rectangles. I’ll show you an easy and a hard way to make rectangles round.

Recreating the Storytelling with Data look with ggplot

We try to imitate the Storytelling with Data look with ggplot

How to use functional programming for ggplot

Functional programming is a mighty sword. Today, we use it to avoid tedious repetitions when things go wrong in ggplot.

How to use Fonts and Icons in ggplot

This is a short tutorial on how to import fonts and icons in R using the showtext package.

4 Ways to use colors in ggplot more efficiently

Inspired by a datawrapper blogpost, we explore how to work with fewer colors in ggplot.

ggplot-tips: Learning by Thieving

I advocate to take part in the TidyTuesday events to learn with and from others.

A couple of visualizations from ggforce

The ggplot2-tips series is continued with a few example plots from the ggforce package

ggplot tips: Arranging plots

The patchwork and ggforce packages can be used to compose plots from multiple subplots. Let’s have a look at how that works.

ggplot tips: Using position_stack() for Individual Positioning

We take a look at the differences between position = ‘stack’ and position = position_stack().

ggplot tips: Assigning Labels to an Aesthetic

We talk about how to easily create labels for an aesthetic.

Beginning a ggplot2 Series: Logarithmize Your Scales

This is the beginning of a series about a few ggplot2 tricks I picked up along the way. In this first installment we talk about how logarithmizing scales can be beneficial.