This series is about sharing the knowledge I have obtained by studying various topics regarding data visualization. When to use which chart type? What about color theory? And what are visual variables? While sharing, I hope to inspire others to learn more about the science behind data visualization and visual best practices. I am by all means no expert on this topic. However, I am convinced that sharing is the way forward.
For me, data visualization is about telling visual stories. It is a way of exploring, understanding, and find meaningful insights from datasets. It is about asking questions, finding answers, and asking even more follow-up questions.
Tableau is a powerful tool for creating all kinds of data visualizations. In my opinion, it is only limited by your imagination. But how to distinguish a โgoodโ from a โbadโ visualization? Are there any rules when creating visual stories? Which chart, color or typography should I use? And what about design principles?
In this series, I am going on a quest to answer the above questions and hopefully much more. I am using the below topics to provide some structure. I will try to publish a new blog every once in a while. It works like watching a Netflix series. After each blog, you cannot wait until the next one is out ๐
In each blog, I will ask myself โ and try to answer โ the same three questions:
In addition, I will provide you with some โ I think โ helpful resources.
Thanks for reading and donโt forget to tell your friends! If you want to improve your Tableau skills, have a look at our training page. If not, we are there to help you. For more information, please have a look at our website. Finally, if you want to know more or just have a chat? Just contact me through LinkedIn.