using a loop to plot multiple boxplots in ggplot2, long dataframe

Question

here's my data:

head(df)

  FY      Analyte Value
  <fct>   <fct>   <dbl>
1 2007-08 CONF(G) 634  
2 2007-08 PH(G)     7.8
3 2007-08 TEMP(G)  24.8
4 2007-08 UHS(G)    2.5
5 2007-08 FC(G)     0.5
6 2007-08 CBOD(C)   1

My dataset is a long df, spanning 10 years. I want to create multiple ggplots (of each Analyte) where the x axis is FY (financial year) and the y axis is Value. Ideally the Y axis title would also change based on the variable being plotted.

I've seen a few reproducible chunks of code in my search to do this but none of them seem to apply to a long dataframe (where I want to loop through each level of the Analyte variable). I also want it to save to my working directory (possibly using the png and dev.off() functions).

Anyone know a solution? Thanks!

Ronak Shah · Accepted Answer · 2021-09-08 06:28:07Z

1

Split the data for each Analyte and use map to save the plot as separate image.

library(tidyverse)

df %>%
  group_split(Analyte) %>%
  map(~{
    analyte_name <- .$Analyte[1]
    tmp <- ggplot(., aes(FY, Value)) + geom_boxplot() + ggtitle(analyte_name)
    ggsave(paste0(analyte_name, '.png'), tmp)
  })

answered Sep 8, 2021 at 6:28

Ronak Shah

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