Data Science Desktop Survival Guide by Graham Williams
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20200317

ds %>%
  subset(location %in% c("Canberra", "Adelaide", "Darwin")) %>%
  sample_frac(0.2) %>%
  ggplot(aes(min_temp, max_temp, colour=location)) +
  geom_point() +
  theme(axis.ticks.x = element_blank(),
        axis.text.x  = element_blank(),
        axis.title.x = element_blank(),
        axis.ticks.y = element_blank(),
        axis.text.y  = element_blank(),
        axis.title.y = element_blank())

The top plot has default x-axis and y-axis ticks, text, and title. To remove axis labels altogether the bottom plot adds a layer to set the axis ticks, text, and title to ggplot2::element_blank() which is used to draw nothing and to take no space within a non-data component of the plot, using the ggplot2::theme() system:

Notice the use of dplyr::sample_frac() to plot a 20% random sample of the dataset and thus the actual points plotted in the two plots above are randomly different.