set.seed(26439) %>% ds sample_n(100) %>% ggplot(aes(x=min_temp, y=max_temp)) + geom_point() + stat_smooth(method="loess", formula=y~x)
A smooth curve here fits the statistical loess function for a single smoother line to the points.
The resulting plot uses ggplot2::geom_smooth() with a so called locally weighted scatterplot smoothing method or LOESS to produce the smoothed line. As a result we can observe statistically something of a relationship between the two variables although it is not a simple relationship.
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