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Robert Kosara Headshot

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Allison Horst headshot

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Chris Cooning

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Allison Horst

Robert Kosara

We took a look at where treemaps originated, and how this common data visualization is used on BI dashboards today

A brief history of treemaps

Few chart types are irredeemably bad, but the radar chart definitely is. In this post, we share why radar charts are ultimately a poor representation of data.

Why you should avoid radar charts in data visualization

Learn about eight useful (and underused!) chart options in Observable Plot that will help you to quickly update the look, feel, and behavior of your data visualizations, without reinventing the wheel.

Eight underused options to customize charts in Observable Plot

Exploring a new dataset? Follow these key steps to make sure you know what the data is, that it contains valid and meaningful data, and that you know what might be missing.

How to explore data: A checklist for navigating datasets 

A closer look at bar charts, why they work better for categorical data than line charts, and why things are a bit more complicated when it comes to time

When to use bar or line charts for time series data

Fil Rivière, Data Visualization Engineer at Observable, describes his path into data visualization, what he likes in a map, what’s hard about mapmaking, and why he’s asking if we need a “slow cartography movement.” 


We can always talk about maps

AgroPatterns uses Observable to map and visualize greenhouse data, helping Colombian farmers optimize crops and reduce chemicals.

Mapping the future of agriculture with AgroPatterns

Bar charts are the workhorses of data visualization, showing numerical data broken down into discrete categories. They can also show counts of items, such as in histograms. This post shows some examples, as well as how to create them in Observable Plot.

The powerful simplicity of bar charts and histograms

Learn how linked brushing can help viewers dig further into interconnected data by highlighting patterns across metrics, zoom in on spatial trends, and focus on time periods of interest. 

Use linked brushing to explore patterns across dimensions, space, and time

Pie and donut charts get a bad rep, but they’re useful for some data and tasks. We look at what they’re good for, as well as the research on how they work, to dispel some of the myths and prejudices against them.

Observable blog

A brief history of treemaps

A brief history of treemaps

Why you should avoid radar charts in data visualization

Eight underused options to customize charts in Observable Plot

How to explore data: A checklist for navigating datasets

When to use bar or line charts for time series data

We can always talk about maps

Mapping the future of agriculture with AgroPatterns

The powerful simplicity of bar charts and histograms

Use linked brushing to explore patterns across dimensions, space, and time

Everything you think you know about pie charts is wrong