Data Vis Dispatch, December 13

The best of last week’s big and small data visualizations | Continue reading


@blog.datawrapper.de | 1 year ago

What to consider when using text in data visualizations

How to make your data visualizations easier to read (and more interesting to look at!) with the right use of text. | Continue reading


@blog.datawrapper.de | 2 years ago

A detailed guide to colors in data vis style guides

How to create a color palette for the data visualizations in your organization. (You won't find a more extensive guide on this topic.) | Continue reading


@blog.datawrapper.de | 2 years ago

What can we learn from medieval prices and wages?

We're going back in time this week, to England in the year 1340. What does data tell us about the average person’s life? | Continue reading


@blog.datawrapper.de | 2 years ago

It’s time for a more sophisticated color contrast check

The WCAG contrast requirements are flawed. Here's what a new approach could mean for data visualizations. | Continue reading


@blog.datawrapper.de | 2 years ago

Why nobody knows how to pronounce my name in Japanese

A writing system with three scripts & thousands of kanji characters | Continue reading


@blog.datawrapper.de | 3 years ago

Who Owns the Nile?

Hi, this is Eddie! Here at Datawrapper, I enjoy interacting with our users by answering their questions to support@datawrapper.de, managing our social | Continue reading


@blog.datawrapper.de | 3 years ago

Which color scale to use when visualizing data

A short overview of the different color scales (diverging, sequential, categorical) that you can use to visualize your data. | Continue reading


@blog.datawrapper.de | 3 years ago

How to pick more beautiful colors for your data visualizations

Choosing good colors for your charts is hard. This article tries to make it easier. | Continue reading


@blog.datawrapper.de | 4 years ago

How to Read a Log Scale

What log scales tell us. | Continue reading


@blog.datawrapper.de | 4 years ago

What to consider when visualizing data for colorblind readers

Different ways to ensure red-/green-/blue-blind readers can read your data visualizations. | Continue reading


@blog.datawrapper.de | 4 years ago

Natali(n)e Portman: The chart that wasn’t

Using Datawrapper for generative art | Continue reading


@blog.datawrapper.de | 4 years ago

Hip-hop songs of all time, visualized

The best hip-hop songs – but where are all the women rappers? | Continue reading


@blog.datawrapper.de | 4 years ago

Why not to use two axes on a chart, and what to use instead

Tl;dr: We believe that charts with two different y-axes make it hard for most people to intuitively make right statements about two data series. We recommend two alternatives strongly: using two ch | Continue reading


@blog.datawrapper.de | 5 years ago

What to consider when creating tables

When to use a table instead of a chart? How to improve table designs? I will answer these questions for a storytelling context. | Continue reading


@blog.datawrapper.de | 5 years ago

A renewed pledge to keep all our user’s charts online

Yesterday, Google announced that it will be shutting down Google Fusion Tables within the next twelve months. As of December 2019, all charts and maps created with Fusion Tables will stop working. | Continue reading


@blog.datawrapper.de | 5 years ago

Your Friendly Guide to Colors in Data Visualisation

Once upon a time, I tweeted on an urgent matter. “Can somebody tell me how to get better with color?” I wrote." My color decisions are awful." I got a lot of replies with links to tools. They were awe | Continue reading


@blog.datawrapper.de | 6 years ago

What to consider when creating choropleth maps – Chartable

Maps are not objective, but a version of reality. When creating them, lots of choices are made: What to map, how to map and whether or not to use a map in the first place. Here we’ll try to find guide | Continue reading


@blog.datawrapper.de | 6 years ago