ggplot2 allows for a very high degree of customisation, including allowing you to use imported fonts. Of course, you may want to create your own themes as well. P6 <- ggplot ( aq_trim, aes ( x = Day, y = Ozone, size = Wind, fill = Month )) + geom_point ( shape = 21 ) + theme_bw () + theme () + ggtitle ( "Air Quality in New York by Day" ) + labs ( x = "Day of the month", y = "Ozone (ppb)", size = "Wind Speed (mph)", fill = "Months" ) + scale_x_continuous ( breaks = seq ( 1, 31, 5 )) + scale_fill_manual ( values = fill ) + scale_size ( range = c ( 1, 10 )) + theme ( legend.position = "bottom", legend.direction = "horizontal", legend.box = "horizontal", = unit ( 1, "cm" )) p6
The first thing to do is load in the data, as below: The book is also actively maintained (unlike the series on the blog) and contains up-to-date ggplot and tidyverse code, and every purchase really helps us out with keeping up with new content.
ADD TITLE GGPLOT2 SCATTER PLOT HOW TO
If you enjoyed this blog post and found it useful, please consider buying our book! It contains chapters detailing how to build and customise all 11 chart types published on the blog, as well as LOWESS charts. In order to reduce the complexity of these data a little, we will only be looking at the final three months in the dataset (July, August and September). We will use R’s airquality dataset in the datasets package.
These plots are also called ‘balloon plots’ or ‘bubble plots’. In this tutorial we will demonstrate some of the many options the ggplot2 package has for creating and customising weighted scatterplots. This is the fifth tutorial in a series on using ggplot2 I am creating with Mauricio Vargas Sepúlveda.
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