Datawrapper

What Datawrapper is

Datawrapper is a data visualization website at datawrapper.de for creating charts, maps, and tables that can be published, embedded, shared, or exported. It is designed for users who need polished visualizations without building every graphic from code.

Visualization workflow

The core workflow is to upload or paste data, choose a visualization type, refine labels and appearance, add source notes, then publish or export. That makes the website useful for journalists, researchers, nonprofits, educators, communications teams, and analysts who need repeatable visual output.

Charts

Datawrapper supports common chart forms, including line charts, bar charts, scatterplots, area charts, pie-style charts, and other layouts depending on the data. Choosing the right chart still matters: a clean design can make a weak comparison look more confident than it should.

Maps

The site also supports map workflows, including locator maps and thematic maps. Map making adds its own choices around geography, projection, classification, labels, boundaries, missing data, and whether a spatial comparison is meaningful for the question being asked.

Tables

Datawrapper tables can turn structured data into responsive, publishable tables with formatting, links, and visual cues. Tables are often better than charts when readers need exact values, searchable rows, ranked lists, or a compact way to inspect many categories.

Publishing and teams

Published Datawrapper visualizations can be embedded in websites and articles, and teams can use workspaces, design themes, collaboration features, exports, and other publishing controls. These workflow features matter when graphics need to match an organization's style and survive repeated updates.

API and automation

Datawrapper provides developer documentation and an API for users who need automation. API access can help teams create, update, publish, or manage visualizations in a repeatable workflow, especially when charts and tables are connected to regularly updated datasets.

Strengths and limits

Datawrapper is strong at turning structured data into publishable visuals quickly, but it does not decide whether the dataset is reliable, the comparison is fair, or the chart type is appropriate. Readers still need source notes, definitions, uncertainty, accessibility checks, and editorial judgment.

Why it matters

Datawrapper matters because data visualization is now part of everyday communication. A browser-based tool can help more people publish readable charts, maps, and tables while keeping the practical work of design, embedding, responsiveness, and source notes close to the data.

WHOIS domain data

Data pulled: June 1, 2026 · View current WHOIS record

Domain

datawrapper.de

IP address

104.20.35.11

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