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A Course for Visualization in R, Taking You From Beginner to Advanced

If you're new to R or coding in general, it can be a challenge to figure out where you're going. Where to start? What to learn next? There's a benefit to more guided instruction. Here's a course to help take you from beginner to advanced.

How to Make Dot Plots in R

It's easy to draw dots. The challenge is to make them meaningful and readable.

How to Make Line Charts in R

Learn to draw lines wherever and however you want, and you've got yourself some flexibility.

R Cheat Sheet and Guide for Graphical Parameters

You can customize graphics in R with par(), but the docs are mostly text and just organized alphabetically. Here is a more visual reference, categorized by what you can change. Plus, a one-page printout.

How to Make and Use Bar Charts in R

The chart type seems simple enough, but there sure are a lot of bad ones out there. Get yourself out of default mode.

Making an Interactive Map with Category Filters

Let readers focus on the regions they care about to make their own comparisons and conclusions.

Loading Data and Basic Formatting in R

It might not be sexy, but you have to load your data and get it in the right format before you can visualize it. Here are the basics, which might be all you need.

Choropleth Maps and Shapefiles in R

Fill those empty polygons with color, based on shapefile or external data.

Working with Map Projections and Shapefiles in R

No need to settle for the mapping defaults in R. Apply map projections to show geographic data in a way most suitable for your work.

How to Download and Use Online Data with Arduino

Before you can do anything with data, you have to get it into the application. Working with an Arduino is no different. Although the process is changes, if you're used to working with desktop software.

Mapping With Shapefiles in R – Getting Started

Geographic data is often available as a shapefile, and there's plenty of heavy software to get that data in a map. R is an open source option, and as a bonus, much of the work can be done in a few lines of code.

Moving Past Default R Charts

Customizing your charts doesn't have to be a time-intensive process. With just a teeny bit more effort, you can get something that fits your needs.

How to Make Interactive Linked Small Multiples

Small multiples are great, and the right interactions can make them even better. A primer and a how-to.

How to Make an Animated, Self-Sorting List

You have a list of things that can be ordered by different values. Let them sort themselves out.

How to Make Dot Density Maps in R

Choropleth maps are useful to show values for areas on a map, but they can be limited. In contrast, dot density maps are sometimes better for showing distributions within regions.

How to Make an Interactive Treemap

Treemaps are useful to view and explore hierarchical data. Interaction can help you look at the data in greater detail.

How to Make Gridded Maps

For when your geographic data is evenly spread rather than aggregated by government boundaries.

Downloading Your Email Metadata

Email provides a window into who we interact with and what we do. This tutorial describes how to get that data in the format you want.

Detecting and Plotting Sequence Changes

Change detection for a time series can be tricky, but guess what, there's an R package for that. Then show the results in a custom plot.

How to Make Smoothed Density Maps in R

Too many points to plot often means obscured patterns in the clutter. Density maps offer a smooth alternative.

How to Read and Use Histograms in R

The chart type often goes overlooked because people don't understand them. Maybe this will help.

How to Map Geographic Paths in R

As people and things move through a place, it can be useful to see their connected paths instead of just individual points.

The Baseline and Working with Time Series in R

A big part of statistics is comparisons, and perhaps more importantly, to figure out what to compare things to. Perspective changes with the baseline.

How to Display Text in R

Text can provide much needed context to traditional visual cues and can be used as a visual cue itself in some cases.

Working with Line Maps, the Google Places API, and R

A frequent challenge of visualization is behind the scenes, to get the data and to mold it into the format you need. Do that. Then map.

How to Make a Connected Scatter Plot

The combination of a time series chart and a scatter plot lets you compare two variables along with temporal changes.

Getting started with visualization after getting started with visualization

Here's where to go next once you've covered the basics of visualization. When it's time to actually start making things.

Small Maps and Grids

Maybe you want to make spatial comparisons over time or across categories. Organized small maps might do the trick.

How to Make Slopegraphs in R

Also known as specialized or custom line charts. Figure out how to draw lines with the right spacing and pointed in the right direction, and you've got your slopegraphs.

Small Multiples in R

Make a lot of charts at once, line them up in a grid, and you can make quick comparisons across several categories.

A Survival Guide to Starting and Finishing a PhD

Tips on making it through, what I would tell my previous self going in, and advice on taking advantage of the unique opportunity that is graduate school.

How to Make an Animated Growth Map in R

Although time series plots and small multiples can go a long way, animation can make your data feel more real and relatable. Here is how to do it in R via the animated GIF route.

Using Transparency in R to Improve Clarity

When you plot a lot of data at once, points and lines can obscure others and hide patterns. Transparency can help reveal what is really there.

How to Animate Transitions Between Multiple Charts

Animated transitioning between chart types can add depth to your data display. Find out how to achieve this effect using JavaScript and D3.js.

Getting Started with Charts in R

You get a lot of bang for the buck with R, charting-wise, but it can be confusing at first, especially if you've never written code. Here are some examples to get started.

How to Make an Interactive Choropleth Map

When presented with a static graphic, it can be useful to see specific values after you see overall patterns. This tutorial shows you how to add simple interactions to a choropleth map so you can get specifics for regions.

More on Making Heat Maps in R

You saw how to make basic heat maps a while back, but you might want more flexibility for a specific data set. Once you understand the components of a heat map, the rest is straightforward.

Mapping with Diffusion-based Cartograms

Sometimes these cartograms can distort areas beyond recognition, but they can also provide a better visual representation for a region with a wide range of subregions. At the least, they're fun to look at.

How to Make an Interactive Network Visualization

Interactive network visualizations make it easy to rearrange, filter, and explore your connected data. Learn how to make one using D3 and JavaScript.

A Variety of Area Charts with R

From the basic area chart, to the stacked version, to the streamgraph, the geometry is similar. Once you know how to do one, you can do them all.

How to Draw in R and Make Custom Plots

When base graphics and existing packages don't do it for you, turn to low-level graphics functions to make what you want.

How to Visualize and Compare Distributions

Single data points from a large dataset can make it more relatable, but those individual numbers don't mean much without something to compare to. That's where distributions come in.

How to Make a Sankey Diagram to Show Flow

These tend to be made ad hoc and are usually pieced together manually, which takes a lot of time. Here's a way to lay the framework in R, so you don't have to do all the work yourself.

Interactive Time Series Chart with Filters

Time series charts can easily turn to spaghetti when you have multiple categories. By highlighting the ones of interest, you can direct focus and allow comparisons.

Calendar Heatmaps to Visualize Time Series Data

The familiar but underused layout is a good way to look at patterns over time. This tutorial gives you an easy way to make them and guides you through the code so you can adapt it to your needs.

How to Hand Edit R Plots in Inkscape

You can control graph elements with code as you output things from R, but sometimes it is easier to do it manually. Inkscape, an Open Source alternative to Adobe Illustrator, might be what you are looking for.

How to Make a Contour Map

Filled contour plots are useful for looking at density across two dimensions and are often used to visualize geographic data. It's straightforward to make them in R — once you get your data in the right format, that is.

Using Color Scales and Palettes in R

Color can drastically change how a chart reads and what you see in your data, so don't leave it up to chance with defaults.

Build Interactive Area Charts with Filters

When you have several time series over many categories, it can be useful to show them separately rather than put it all in one graph. This is one way to do it interactively with categorical filters.