Go to TogaWare.com Home Page. Data Science Desktop Survival Guide
by Graham Williams
Duck Duck Go

Faceted Location Thin Lines



ds %>%
  ggplot(aes(x=date, y=max_temp)) +
  geom_line(alpha=0.1, size=0.05) +
  geom_smooth(method="gam", formula=y~s(x, bs="cs"), size=0.05) +
  facet_wrap(~location) +
  theme(axis.text.x=element_text(angle=45, hjust=1)) +
  labs(x=vnames["date"], y=vnames["max_temp"])

An alternative is to present the plot as a line chart rather than a scatter plot. It does make more sense for a time series plot such as this, though the effect is little changed due to the amount of data being displayed.

Changing to lines simply uses ggplot2::geom_line() instead of ggplot2::geom_point(). Very thin lines are used as specified through the size= option. Nonetheless, the data remains quite dense.

Support further development by purchasing the PDF version of the book.
Other online resources include the GNU/Linux Desktop Survival Guide.
Books available on Amazon include Data Mining with Rattle and Essentials of Data Science.
Popular open source software includes rattle and wajig.
Hosted by Togaware, a pioneer of free and open source software since 1984.
Copyright © 2000-2020 Togaware Pty Ltd. . Creative Commons ShareAlike V4.