It’s as informative as it is amusing, and I thought it would be fun to take a look at a few recent WTF Viz submissions and break down what, exactly, makes them such a strain to both the eyes and the mind. From the deceptive to the confusing to the downright ugly monstrosities created in the name of statistics, sometimes it’s the lessons you learn from failure that are the most impactful.Įnter WTF Visualizations, a fabulous Tumblr blog that curates a collection of the most sinful dataviz blunders around. These are the kinds of charts and infographics that ignore every basic rule and design principle when it comes to visualising data. But sometimes, I also like to draw a little inspiration from the not-so-great examples of dataviz. But beyond their craft, they are also educators who advance a dialogue on best practices and principles for what I like to call empirical storytelling.įlowing Data and Info is Beautiful can be great sources of inspiration if you're on the lookout for beautiful, creative and cutting-edge data visualization. Yau and McCandless are both leaders in this field who create and curate some of the best examples of data visualization you can find on the web today. To get my creative juices flowing, I often look for inspiration in a few different places, including but not limited to Nathan Yau’s Flowing Data and David McCandless Information is Beautiful. I love my job because I get to spend a fair amount of my time thinking about creative ways to communicate through data. Recently, I’ve been thinking a lot about data visualization, information design principles and storytelling.
0 Comments
Leave a Reply. |
AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |