This data visualization shows the relationship of home runs to batting average for a small sample of baseball players from the annals of MLB. What's shown here is that all players are not equal in terms of performance, and moreso that a player that has a batting average of 0.300 is not simply 1.5x better than a player with a batting average of 0.200.
I chose a scatterplot because it is an effective way to show a bivariate relationship for a sizable amount of data. Home runs and batting averages are visually encoded as positional data along the Y and X axis. I thought a "martini