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KenButler12

I'm definitely in favour of the side-by-side boxplots for this.

Principally because the horizontal-scale variable "round" is discrete (ordered categorical if you wish). The takeaway is that there is a downward trend in mean/median, but an awful lot of variability (that decreases slightly as round # increases). This is exactly what a boxplot (or series of boxplots) shows, and it does so without clutter.

The top plot has introduced a spurious horizontal scale (unless there is meaning to left side vs. right side of the Round 1 box in the first plot, which is not mentioned). The second plot has those same issues (what is the horizontal scale? Is it pick # overall?).

If the statistical issue in question is "do players picked in an earlier round of the draft tend to have a higher value?", boxplots will answer that; your plots appear to go after the related but different question of "is player value related to draft pick number", with the round # of the draft being incidental to that. For that, a lowess curve on plot #1 would do the job for me.

Yep

"Our eyes cannot judge density properly especially in the presence of over-plotting."

Make the dots transparent?

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