Data Science Desktop Survival Guide by Graham Williams
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Scatter Plot

20200822

set.seed(26439)
ds %>%
  sample_n(100) %>%
  ggplot(aes(x=min_temp, y=max_temp)) +
  geom_point() +
  labs(x = vnames["min_temp"],
       y = vnames["max_temp"])

The simplest of plots is a scatter plot which displays a two dimensional plot of points. The dimensions are the x= and y= axes. The observations from the dataset, which are the rows in the dataset, are plotted, scattering the points over the plot.

Using the template variable ds the dataset is piped (tidyr::https://www.rdocumentation.org/packages/tidyr/topics/ggplot2::aes() are set up with min_temp as the x= axis and max_temp as the y= axis. To add the points (observations) to the plot we employ ggplot2::geom_point().