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Datawrapper
4,647 posts
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Datawrapper
@Datawrapper
Enrich your stories with charts, maps, and tables – interactive, responsive, and on brand. Questions? Write us: [email protected]
Berlin, Germany
datawrapper.de
Joined February 2012
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  • user avatar
    Datawrapper
    @Datawrapper
    Sep 4, 2020
    New blog post! Do you know the colors in your charts look bad, but don't know what to do? We wrote an article to help. Here are 13 ideas that will improve your #dataviz colour choices:
    How to pick more beautiful colors for your data visualizations | Datawrapper Blog
    From datawrapper.de
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    Datawrapper
    @Datawrapper
    Mar 30, 2022
    🎉 New blog post! And it’s the most in-depth one we ever published. Our writer @lisacmuth has spoken to dozens of people to learn how to best build a fixed color palette for data visualizations in an organization. Find what she learned here:
    A detailed guide to colors in data vis style guides | Datawrapper Blog
    From datawrapper.de
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  • user avatar
    Datawrapper
    @Datawrapper
    Aug 23, 2019
    We updated one of our all-time favorites on our blog, "Your Friendly Guide to 🎨 Colors in Data Visualisation" with fresh new tools. If you don't know it yet, make sure to have a look (and bookmark it for later):
    Your friendly guide to colors in data visualisation | Datawrapper Blog
    From datawrapper.de
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    Datawrapper
    @Datawrapper
    Feb 16, 2022
    New blog post! When you want to visualize a lot of categories, your chart can quickly become too colorful and hard to decipher. This week, our blogger @lisacmuth gives you 10 tricks to reduce the number of colors in your visualizations. Find them here: blog.datawrapper.de/10-ways-to-use…
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    Datawrapper
    @Datawrapper
    Feb 5, 2024
    🎉🎉🎉 Big news: You can now create small multiple line charts with our new chart type “Multiple Lines”! Give each line its own panel, then sort, style, annotate, show lines on independent scales, and more. See what’s possible in our announcement post:
    New: Small multiple line charts in Datawrapper | Datawrapper Blog
    From datawrapper.de
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    Datawrapper
    @Datawrapper
    Mar 6, 2020
    New blog post! We provide 17 charts, maps and tables with up-to-date numbers about the coronavirus #COVIDー19. Adapt them to your needs, change wording & colors, then embed them in your articles. Find all the live visualizations here:
    17 (or so) responsible live visualizations about the coronavirus, for you to use | Datawrapper Blog
    From datawrapper.de
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    Datawrapper
    @Datawrapper
    Apr 13, 2021
    🎉 We are excited to introduce our new Youtube channel, where we will upload data visualization courses and Datawrapper how-tos. This is just the start – let us know what you think, and subscribe to learn about future videos 👉 youtube.com/channel/UCGRds…
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    Datawrapper
    @Datawrapper
    Dec 2, 2019
    🎉 We want to enable more people to create beautiful #dataviz. That's why you can now create, publish & embed Datawrapper charts, maps & tables without limits, export them as PNGs, use our API and collaborate in teams – all 🎉 for free 🎉! Learn more here:
    Create data viz with Datawrapper, with our new, strong free plan | Datawrapper Blog
    From datawrapper.de
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  • user avatar
    Datawrapper
    @Datawrapper
    Sep 28, 2022
    New blog post! Text is often an afterthought when designing data visualizations. Our writer @lisacmuth explores in depth how text can make your visualizations easier to read and nicer to look at. Read it here:
    What to consider when using text in data visualizations | Datawrapper Blog
    From datawrapper.de
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    Datawrapper
    @Datawrapper
    Sep 29, 2020
    🎉🎉🎉 Big (big!) map update! Our choropleth and symbol maps are now simpler to create, quicker to load, and more beautiful. Plus: 👉 finally: stepped maps! 👉 more flexible legends 👉 simpler tooltip editing Learn about these and other new features: blog.datawrapper.de/choropleth-sym…
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    Datawrapper
    @Datawrapper
    Sep 12, 2022
    New blog post! Sans-serif or serif typefaces? Lining or oldstyle figures? With many #dataviz examples, our writer @lisacmuth shows you which typefaces, fonts, and font customizations work best for your charts and tables. Read it here:
    Which fonts to use for your charts and tables | Datawrapper Blog
    From datawrapper.de
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    Datawrapper
    @Datawrapper
    Feb 1, 2022
    We just published a new Data Vis Dispatch! This week, you'll find a collection of some of the best #dataviz produced all around the world, with Ukraine, democratic institutions, and climate, as some of the biggest topics: blog.datawrapper.de/data-vis-dispa…
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    Datawrapper
    @Datawrapper
    Oct 27, 2017
    You've never really understood color palettes for Choropleth maps? You're not alone. @lisacrost explains them here: academy.datawrapper.de/article/117-co…
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    Datawrapper
    @Datawrapper
    Oct 11, 2023
    New blog post! You designed a useful & fun color key? Great. Now you’ll want to make sure people don’t forget those associations between colors and categories. Our author @lisacmuth explores ways to do so, with >15 examples. Read her article here: blog.datawrapper.de/remind-readers…
    Screenshot of the article showing one piece of advice: "Keep your color key always close by". The illustration shows an article in which only the first of three data visualization has a color key, which is less ideal than giving all three visualizations a color key.
    Screenshot of the article. The text talks states: "When you color annotation text to refer to a category of the same color, the contrast between text color and background color should be high enough for reading. Unfortunately, bright colors that work fairly well for a bar in a bar chart become illegible as thin letters. One small trick is to make the text color a bit darker than the category color." An example is shown from the Economist, where the label is darker than the line.
    Screenshot of the article, sharing a piece of advice: "Reuse your colors in tooltips". The illustration shows a scatter plot with an open tooltip on a red bubble in which the color red is repeated.
    Screenshot of the article, sharing the advice "Reuse your colors in text around your visualization". An illustration shows a classical color key, vs bringin the color key in the title, vs showing the color key int he article surrounding the visualization.
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