The ultimate resource for data journalism beginners.

Where to start if you're new to data journalism? Sure, you should probably start with a story, but then what? Nowadays there are so many tools available, it can be hard to see the wood for the trees. Fortunately, Datajournalism.tools here there to help you.

Starting in data journalism can be hard enough by itself. To help, the creators - Hogeschool Utrecht - a Dutch journalism college, and data journalist Winny de Jong - tried to make it easier for you to find the tools that suit you best.

Datajournalism.tools is an accessible database, containing a small selection of beginner-friendly data journalism tools. Where applicable, each tool in the database includes links to tutorials.


The website provides four applications that you can choose from: find/collect data, clean data, analyse data, or visualise data. You just pick whether you'd like to scrape or share data (find/collect); make a messy dataset ready for analysis by editing mistakes and typos (clean data); analyse data to find your story (analyse); or, create maps, charts or network visualisations (visualise data).

Experience levels

After you've picked which application you need, you can set your level of experience. All tools are categorised by application and experience level. This way, you'll know for sure that you can immediately use the suggested tools. It's good to remember that datajournalism.tools was build for total data journalism beginners. Hence, 'a lot of experience' means a lot of experience for beginners in data journalism.


Once you've set the application and experience level, the site generates a unique link for these settings. This makes it easier to share a specific selection of tools from datajournalism.tools.

Add a tool

In case you feel the team left out a great, beginner friendly data journalism tool, you can always suggest to add it. Just fill out the form to let us know. Please be aware of the fact that the site is supposed to be feasable for beginners, and therefore the team adds tools sparingly.

Explore Datajournalism.tools.