It’s NBA playoff time which means anyone who sees me
day-to-day will expect more mood swings than a teenager! If the Spurs are
winning then I’m insufferably smug. Yet, if the Spurs are losing then I’m insufferably
grumpy.
Using Tableau has become somewhat a way of life for me and
there is not many of my interests that I don’t analyse from a data perspective;
analysis of the NBA is no different. I wanted to understand how players perform
in regards to not just the league but also their own team. Below is a quick
walkthrough of how I have achieved this without having to create a large number
of weightings that sway bench-warmers in to allstars or give the reader
migraines trying to decipher – I’m looking at you Hollinger!
First of all, what is a nicer way to create a quick overview
than a tree map? In this, not only can I see which players perform the best in
my chosen metric, but I can see the individuals relative performance to their
own team. Sweet. But I feel Stephen Few’s wise words coming back to me. “Carl”,
I hear him say in my ear, “how can you tell the difference in the performance of
Tiago Splitter and Tyson Chandler on this chart?”. And as much as I love
treemaps, I can’t justify it to myself, it doesn’t answer the fundamental like-for-like
comparison.
However,
Tableau 8 allows me to not have to answer any single question with just one
chart. Why not use another – “scatter plot” I hear you cry – “yes” I answer.
The scatter plot allows me to explore the individual performances in comparison
to each other.
So
using Tableau 8’s floating dashboard functionality I put the two together to
allow (with the use of some sneaky parameters) to create a chart that allows me
to explore player performance whilst seeing where they sit in the overall
setting of the league. The dashboard below is interactive, but here is the comparison between Tiago and Tyson just in
case you were curious…
Here
is a link to go and recreate this dashboard or functionality for yourselves –
Happy
Tableauing all and Go Spurs Go!
Carl
Allchin (@datajedininja)
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