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Create interactive, responsive & beautiful data visualizations with the online tool Datawrapper — no code required. Used by the UN, New York Times, SPIEGEL, and more.
Datawrapper lets you show your data as beautiful charts, maps or tables with a few clicks. Find out more about all the available visualization types. Charts. 20 chart types to show your data. Maps. Symbol, choropleth, and locator maps. Tables. Including heatmaps, searching, and more.
or try out Datawrapper without signing up. Enrich your stories with charts, maps, and tables.
Datawrapper lets you show your data as beautiful charts, maps or tables with a few clicks. Find out more about all the available visualization types. Charts. 20 chart types to show your data. Maps. Symbol, choropleth, and locator maps. Tables. Including heatmaps, searching, and more.
Datawrapper Pro Tips Organization, links, HTML, tooltips, images – get to the next level. 28 articles
25 de jun. de 2024 · This is a blogwritten by people who work at Datawrapper. We love charts, and we created this place to talk about them. Learn more. Here you’ll find the latest Datawrapper features, Data Vis Dispatchs, Weekly Charts, Data Vis Do’s & Dont’s, Maps, Opinions, information about Color in Data Vis, How to deal with data, the Data Vis Book Club ...
Datawrapper has a feature inbuilt that can help you with that. It’s called Transpose the data, and you will find it at the bottom of the chart type grid: When you transpose data, columns become rows and rows become columns. That’s what happens in the background, but you don’t need to care about it so much.
29 de set. de 2021 · O Datawrapper disponibiliza acesso gratuito ou assinatura para pessoas físicas ou jurídicas e que incluem mais possibilidades de suporte e de recursos. Na versão gratuita, há a possibilidade da publicação ilimitada de visualizações com a inclusão da atribuição à plataforma e a possibilidade de exportação de visualizações em formato PNG ou em link para incorporação da página web.
15 de nov. de 2023 · To create good visualizations, you will need to learn how to use some tools well. These could be pen and paper — but more likely will be something like Datawrapper, Observable, d3.js, ggplot2, RAWGraphs, or others. When I started with data vis, I pondered a lot about which tools to learn.
Our friendly support team will be able to help you (and you'll also help us) if you send us an email to support@datawrapper.de. Enrich your stories with charts, maps, and tables.
