With the economy still in a tough spot, I was curious to see how much money is spent across every major sport in the United States. Being a huge baseball, football, and basketball fan, I really wanted to see who spends the most money on payroll and who is the highest paid player in all sports. Feel free to play around with this visualization. The insights I found were really interesting and it's amazing how much money there is in sports across the United States. We definitely love our sports and we're willing to pay big bucks for entertainment. Hover over the "Information" icon to get more details on how to interact with this visualization. My insights and analysis are below this visualization. <a href="undefined"><img alt=" " src="http://public.tableausoftware.com/static/images/Sp&am
Having just returned from the 2014 Tableau Conference , I was debating whether or not I should blog about it. I realized I've received so much from the Tableau Community over the years that it would be a shame to not share my thoughts. So, here we go ... TABLEAU CONFERENCE IS BIG! One thought that definitely stuck out was the sheer size of this year's conference! There were 5,500 attendees so it was definitely crowded at times. But it was a reminder of the incredible growth that Tableau has been experiencing and how, so many others have found Tableau to be a tool that not only gets the job done, yet also delights. I like how one person said that Tableau is the closest thing he's found to playing a video game at work . I totally agree! If you're going to attend one data/analytics conference during the year, this is the ONE you want to go to. I was anticipating the first keynote because it always sets the stage for what is to come. Having heard Christian
With the release of Tableau 8 , there are a host of new features including brand-new visualizations. I took one of my old visualizations and revamped it with things you can only do in version 8. Here's a summary of the things I changed from my original U.S. Unemployment Rate Viz: Decided to pull the latest unemployment data from the U.S. Bureau of Labor Statistics (data is up to Feb 2013). Utilized a treemap to show the Unemployment Rate % by state (from 2000-2012). Treemaps are an effective way to show many slices of information! Tried using the new packed bubbles visualization to display the U.S. annual unemployment rate (avg) from 2000-2012. It's a catchy way to show information although it can be a bit tricky to use since it may or may not be more effective than your standard bar chart. I'll let you decide. :) Floating containers everywhere! Added text to guide the user on how to use the map as a filter, put color legends closer to the visualizations, and pu
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