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Joe Radburn a à peine 8 ans mais passe la plupart de ses lundis à bidouiller des données. Il participe régulièrement au Makeover Monday, un exercice organisé chaque lundi, dont le but est de retravailler des visualisations de données. « Mon papa télécharge les données, et j'ai ensuite 20 minutes pour les réarranger. Une fois que le résultat me plait, je le montre à mon papa. »

When we asked you to share #DataLessons (advice for people starting their data journey), the wisdom started flowing in! And once again, we were reminded of what a generous and thriving community we have. Whether you're a beginner or an experienced vizzer, we are sure that some of these tips will resonate with you as much as they did with us! Here are the highlights.

What an honour! #MakeoverMonday has been shortlisted for “Best DataViz Project” in the Kantar Information Is Beautiful Awards.

Andy Kriebel recently posted a great tutorial on adding vertical lines to a slope graph using reference lines. This works great for slope graphs when you are comparing the same measure across dimensions, but what if you want to compare two measures across a dimension?

You've heard from the candidates—but what does the data say? Join us as we explore the data stories behind the US elections.

See and understand your JSON data without data prep! In Tableau 10.1, you can connect to your local JSON files, reason about their structure, and start analyzing.

Learn how to ensure your on-premise data is always pushed to Tableau Online.