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To find an image, do a Google image search of the tool. Find an image about 600px wide, if possible. Copy the image URL and paste into the box below.
What is the name of the tool?
| Tool Class
To what "family" does the tool belong? Pick as many categories as are appropriate. EG: Data Collection, Security, etc. The wiki will automatically create a link to the relevant tool class.
|Data Visualization, Mapping|
Who made the tool? Sometimes the tool name and the developer name are the same, and sometimes, they are different.
| Date Created
What was the date when the tool was first launched?
| Still Maintained?
Do the developers of the tool continue to work on it, adding features and fixing problems?
| Open Source?
Is the tool's source code original source code freely available and may it be redistributed and modified? (This makes it possible for users to employ the tool for free, with some technical effort.)
Pick the platforms on which the user would primarily use the tool. Be as selective as possible. If a tool works mainly in the browser, select "Web". If the user can technically load the interface on a smartphone but have a very poor experience, do not select "Android" or "iOS". "Mac" and "PC" are for apps that must be installed to a machine in order to run, as opposed to running from a browser.
What is the main website where a user can learn more about the tool? (Remember to include "http://)."
| Payment Structure
How, if at all, does a user pay to use the tool. Select all that apply: "Free" if there are components of a service that can be used for free; "Paid" if payment is required (either one-time, or at a given rate upon use) for use of the tool's full functionality; "subscription" if a monthly payment is required.
| Languages Supported
What languages does the app's interface support? Note: some apps allow users to communicate in other languages but require the user to use an English language interface. In this case, the app is considered only to support "English".
|Dutch, English, French, Spanish, Italian, Simplified Chinese, Portuguese|
| Skill Level Needed
Datawrapper is a Data Visualization tool designed for news organizations to generate embeddable visualizations through a relatively simple process. The user follows a four step process - upload, check and describe, visualize, publish and embed - to create visualizations.
The tool can be used for Mapping. Datawrapper creates two types of maps: Choropleth and point. If creating a point map, the service allows basic Geocoding by allowing the user to place a point at a time by typing in an address.
The resulting visualizations a dynamic in that the mouse can hover over some visualizations to get more information. The service is free to use up to a certain level of views, at which point the user needs to subscribe.
What Makes This Tool Different from Others in its Class?
Datawrapper creates interactive visualizations that can be embedded in a website. The strength of the tool is its ease of use and the speed with which it can create a visualization, but this comes at the cost of more complexity once you move beyond the scope the tool was designed for.
The interface is simpler to use than Google Sheets but provides very little support for editing the data - it assumes that you have already gone through the process of Data Preparation before using the tool. Tableau Public is a more powerful tool and likewise creates interactive visualizations that can be embedded, but the interface is more complex and is a desktop tool. As a mapping tool, Datawrapper provides clean, basic features. Unlike some mapping tools, it can create a choropleth visualization at the state level for places like Nigeria. It cannot create a point map from a pre-existing dataset like Carto or Tableau Public.
Ultimately Datawrapper is handy for a quick visualization but other services are better if more complexity or control is needed.