All Visualizations Stories

When I discovered Tableau at work, it was like the day I got my first digital camera. I had finally found a tool with which I could answer my customers’ questions faster than ever before! And I could also apply my passion for photography when designing dashboards.

Check out the latest round of the best of the Tableau web!

The not-so-fun part of working in tourism in the summer: I had to let many customers know their dream trips were already sold out. I had a feeling the time span between the initial inquiry and the desired departure date was getting smaller every day. Naturally, I needed to validate my feelings with hard facts.

For Makeover Monday, I wanted to tell the story of how Facebook is making an effort to make clean and renewable power its primary source of energy. I wanted to be able to sort the stacked bars by energy usage percentage by year. Here's how it's done.

Throughout this series, we've been exploring admission rates at the University of California in Berkeley. In 1973, the overall graduate-school admission rates for men and women appeared to be biased toward men. But when looked at in more detail, the trend shifted the other direction. In four of the six largest departments, there were proportionately more women admitted than men.

Now that you know what a Marimekko chart is and when it’s most useful, it’s now time to learn how to build it in Tableau.

A Marimekko chart is a two-dimensional stacked chart of stacked, contiguous bars—looking somewhat like a Marimekko fabric. Marimekko charts combine visual pop with information—the eye captures two levels of information as it admires the colorful pattern the chart creates.

One great new feature in Tableau 10 is clustering. What was once only available to people who could use complex statistical tools can now be done with a drag and a drop. I know my mean from my mode and what a normal distribution looks like, but like many of our customers, I’m no statistical expert. I wanted to answer a simple question: What exactly is clustering and why would you use it?

We all want to see and understand our data—and fast. So I thought I'd share 10 Tableau shortcuts to help save you time.

As the world looks to Rio this summer, we're looking to the data. To celebrate the Summer Games, we're harnessing the power of the Tableau community to explore the data stories behind the games. To that end, we've put together a gallery of vizzes about the competitions.

Bar charts are a staple in data visualization. They are often the first chart type that comes to mind when comparing quantities across discrete groups such as sales amount for different product categories. But there are many cases where you may want to take advantage of the width of the bars and their location along the axis to present more information. For example, if you’re visualizing the number of customers by age group and the age groups are of unequal sizes, you may want to use bars of different width.

How can we, in our businesses, rise above the problems of the UK’s referendum and instead focus on sharing the multiple truths in data? Are your employees able to communicate multiple opinions, based on the multiple truths in a data set?