I then averaged each minute to come up with this visualization:

The data can be download here.

]]>Here is a density map of the three-point shots, along with the analysis:

t = -0.80358, df = 11738, p-value = 0.4217

alternative hypothesis: true difference in means is not equal to 0

95 percent confidence interval:

-0.009613867 0.004023235

sample estimates:

mean of losing mean of winning

0.2918484 0.2946437

Here is a density map of the two-point shots, along with the analysis:

t = 2.0842, df = 15112, p-value = 0.03716

alternative hypothesis: true difference in means is not equal to 0

95 percent confidence interval:

0.0002954158 0.0096292267

sample estimates:

mean of losing mean of winning

0.4627997 0.4578374

Here is a density map of the free throws, along with the analysis:

t = 0.38493, df = 13994, p-value = 0.7003

alternative hypothesis: true difference in means is not equal to 0

95 percent confidence interval:

-0.004826125 0.007184844

sample estimates:

mean of losing mean of winning

0.7277869 0.7266075

The raw data can be download here.

[1] A. Glockner, Chasing perfection: a behind-the-scenes look at the high-stakes game of creating an NBA champion, First DaCapo Press edition. Boston, MA: Da Capo Press, 2016. p. 85

]]>The following paper provides an introduction to parallel coordinate systems:

• Inselberg, A. (1997), “Multidimensional detective”, Information Visualization, 1997. Proceedings., IEEE Symposium on, pp. 100–107 ]]>

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