Split dataset by grouping variable to create multiple bar plots at once

I have a large dataset that looks like this:

time, precip, grp

2005-09-30 11:45:00,1.1,1

2005-09-30 23:45:00,1.5,1

2005-10-01 23:45:00,0.2,2

2005-10-02 11:45:00,0.3,2

2005-10-02 23:45:00,1.7,2

2005-10-03 11:45:00,0.8,2

2005-10-04 23:45:00,1.4,4

I want to make separate data frames for each group (grp, there are a total of 65 groups in my full dataset) and produce a bar graph for each group.

So far, I've made a list:

X <- split(df, df$grp)

str(X)

Y <- lapply(seq_along(X), function(x) as.data.frame(X[[x]])[, 1:2]) 

lapply(seq_along(Y), function(x) {assign(grp[x], Y[[x]], envir=.GlobalEnv)})

which produces this:

>Y

>[[1]]

                 time precip

3 2005-10-01 11:45:00      0

8 2005-10-03 23:45:00      0

9 2005-10-04 11:45:00      0




[[2]]

               time   precip

1 2005-09-30 11:45:00 1.1

2 2005-09-30 23:45:00 1.5


...

Is there a way to now plot each of these so that I have a different bar graph for each group, with time on the x-axis and precip on the y-axis? Ideally, the bar graphs would all be on the same page or part of the same output.

Also, is there a way to export each of these as separate data frames?

Thank you in advance!

Answers


lattice is made for this sort of thing.

Using RoyalTS's data df:

library(lattice)
barchart(time~precip|grp, data=df)


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