Data visualization is very much an art form, and one that requires the artist to make good design choices based on what kind of data they have, how it’s structured, and what they’re trying to say.

Some of the best examples of data visualization today can be found in journalism. In recent years, many, if not most, global news networks have embraced empirical storytelling and have made significant investments in both the people and technology needed to tell compelling visual stories powered by data. 

Last week I gave a short talk at AMES 2016. I’ve had a few requests to share the full presentation deck, but I’ve realized that some of the slides may not make a ton of sense without the talking points. So here’s a full run down of the presentation and what I covered.

I'll be giving a talk at the Asian Marketing Effectiveness & Strategy (AMES) 2016 conference next week and I wanted to share a teaser of the presentation I'll be giving. My session is titled The Human Side of Analytics and will explore the role people, communication and storytelling within the big data and analytics industry. 

If you liked my last article on data visualization sins check out my latest guest post on Outbrain. In this article I specifically focus on data visualization for infographics. Below is a snippet, but follow the link to Outbain for more juicy examples and tips for designing better data driven infographics.

Last Friday I had the chance to give a short talk on data visualization at an event co-hosted by General Assembly and Keboola. Despite a wicked storm (thanks to Singapore's late blooming rainy season) and a late night Friday event we had a great turnout, and with a really fun crowd I might add. Some great questions and discussion all around.

From the deceptive to the confusing to the downright ugly graphics created in the name of statistics, sometimes it’s the lessons you learn from failure that are the most impactful. In this post, I look at some examples of bad dataviz, and how to fix them.

Statistics are often not enough to convince a boardroom full of people to believe in and pursue a particular course of action. Data, no matter how objective it is in reflecting a truth, is only one piece of the puzzle as you need to consider how to effectively communicate what the data means. Storytelling is the key to getting your ideas to resonate and is a focus that hasn't been thoroughly explored yet in the analytics industry. 

Matt Yglesias and Johnny Harris over at Vox recently posted a great video about a rather contentious issue when it comes to storytelling and data. That is, whether or not you should always set Y-axis baselines in bar or line charts to zero. I’ve written about this a few times in the past and I wanted to take a moment to add a few points to the debate.