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Getting Started

A first tour through Datawrapper

A first tour through Datawrapper

You just signed up to Datawrapper and opened it for the first time. Great! A warm welcome from the whole Datawrapper team. We're happy to have you on board and we hope that Datawrapper will help you…

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How to upload data

How to upload data

Before creating a chart, you need data. This is the first thing Datawrapper asks of you, in Step 1: Upload Data. Here we cover how your data needs to look like to be accepted by Datawrapper without pro…

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How to create text annotations

How to create text annotations

You can create text annotations in many of our visualization types: In choropleth map and symbol map, e.g. to point out certain regions or spatial patterns, or to give context information. In column chart …

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See a live demo & ask questions

Learn about data visualization

A friendly guide to choosing a chart type

A friendly guide to choosing a chart type

When you're just starting out with data visualization, the number of visualization types can feel overwhelming. You know pie, line, and bar charts – but when to use what? And what about all these extra chart types with their fancy names, like small multiples, Sankey diagram, and Marimekko chart? This article is supposed to give you a first overview of the most common chart types and when to use them.

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Emphasize what you want readers to see with color

Emphasize what you want readers to see with color

When you're just starting out with data visualization, the number of visualization types can feel overwhelming. You know pie, line, and bar charts – but when to use what? And what about all these extra chart types with their fancy names, like small multiples, Sankey diagram, and Marimekko chart? This article is supposed to give you a first overview of the most common chart types and when to use them.

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What to consider when using text in data visualizations

What to consider when using text in data visualizations

Text is maybe the most underrated element in any data visualization. There's a lot of text in any chart or map — titles, descriptions, notes, sources, bylines, logos, annotations, labels, color keys, tooltips, axis labels — but often, it's an afterthought in the design process. This article explains how to use text to make your visualizations easier to read and nicer to look at.

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Play around with existing visualizations

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