Data Storytelling and DataViz Approach
Turns out that I really enjoyed this dataset. Despite my Cardinals not making the MLB Playoffs this year, there's just something about the Playoffs and especially the World Series. I created two vizzes this week, with the intention of addressing different questions. The first (above) is a cuvy timeline, adapted from a methodology by Ken Flerlage, and the second is a stacked shape chart.
With the timeline, I wanted to look at the series over time, especially stretches where one team has repeated success in reaching or winning the World Series. For example, my Cardinals in the 1940's or the Yankees in the 1920's. I used the logos for each team, where a greyscale logo indicates a loss and the full color version of the logo is a World Series win. I also used the tooltip to provide some additional information on the series. More artistic or infographic than dashboard, but I really love the look.
The second with the stacked shapes gives a quick look at the number of appearances by franchise, as well as their wins. A trophy icon indicates a win, whereas a full color team logo indicates a World Series appearance where the team lost. To leverage interactivity, I createad a set of BANS with some metrics about the selected team's history in the World Series. Some of these are contextual - for example, the 4th metric displays either the team's first appearance in the WS, or their first win, depending on how they performed in their first series. For example, where my Cardinals experienced success in their first WS attempt, the calc displays the text 'First Win', and for the Yankees who took 3 tries to get their first WS win, it displays 'First Appearance'. Similarly, the last metric displays either the team's last WS win or appearance depending on how they did in their last WS appearance.
I've really enjoyed the participation we've seen in the community this week as well! Several great submissions:
- Anooj Zaveri and Kranthi Sarva – A collaborative effort looking at the split in World Series fortune by league. Includes some nice highlighting functionality and a really cool lollipop chart!
- Jeff Plattner – A look at World Series win droughts broken down by conference. A nice, clean viz utilizing a ranked dot plot, and leveraging Tableau’s viz in tooltip functionality.
- Tom Coyer – A different take on the data, looking at the last 27 years of the World Series Winners and how their salary stacks up against the rest of the league. Another nice lollipop chart with parameter driven interactivity
- Jim Van Sistine – A very clean dashboard, digging into multiple facets of the data using different types of bar charts. From a timeline to a bi-directional bar chart to a standard horizontal bar, Jim really knocked it out of the park. Throw in some BANS to summarize some key points to pull the whole viz together nicely.
- Ryan Murphy – An analytic view of the data. Ryan focused on the efficiency of teams in winning the World Series. Nice consistent use of colors to indicate the length of the series throughout his stacked bars and stacked shape charts. The scatter plot with his statistical flair is also a nice touch. Ryan was able to create this effective viz despite his limited knowledge and use of Tableau. Great first effort.
We'd love to see what you can do with this week's dataset, create your viz and post your work to Tableau Public and Twitter with the hashtag #ThrowbackDataThursday, tagging @TThrowbackThurs. We'd really love to see what you can come up with!
This week's dataset comes from Wikipedia. Please be sure to cite the source on your viz.