MLB Batter Dashboard in Tableau Public

Tableau has revolutionized visual analysis for many users by providing a tool that makes it easy to create exceptional visualizations without the need to write code. For some, Tableau Desktop has been a godsend to rescue them from the challenges of creating meaningful charts using Excel, Cognos, SAS, or any number of other tools. For others, Tableau Public has provided an opportunity to enter the world of visualization. In my case, I use one at work and the other for my side projects, one of which I’ll introduce here.

I’ve long worked with major league baseball data provided by either Retrosheet, Baseball-Databank, or Sean Lahman, and thought Tableau Public could help me to create some fascinating dashboards for users to navigate. Baseball visualization is a relatively untapped area, and one where I expect to spend more time in 2015. In the meantime, I have a prototype to share via the Tableau Public site, as seen here:

The full dashboard can be found here:

https://public.tableausoftware.com/views/MLBBatters1980sDashboard-WIP/RankingsDashboard?:showVizHome=no#1

This dashboard allows you to filter by team, batter type (left or right handed or switch hitter), league, season, or age (as of July 1st each season). In addition, filters can be set based on the number of games played at a given position. Multiple filters can be combined to provide a variety of results across 15 offensive categories. Have fun with it, and let me know what you think.

More will be coming – some of it can be seen currently on Tableau Public, with more to follow. I’m also planning to expand the data beyond the 1980s, so we can see patterns from more than 100 years of data. Stay tuned.

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kc2519

Ken Cherven is the Founder and Curator of the Visual-Baseball.com website. He loves to merge baseball data with all sorts of visualization methods - charts, network graphs, maps, etc. to provide greater insight into underlying data patterns. Ken also authors books about baseball and visualization, and loves to listen to jazz while drinking some wine, craft beer, or bourbon.