Create individual plots for all values in a variable

Question

My dataset has 3 columns: high school name, year, and percent enrolled in college, and it includes 104 high schools across 8 years.

school	chrt_grad	enrolled
Alba	2012	0.486
Alba	2013	0.593
Alba	2014	0.588
Alba	2015	0.588
Alba	2016	0.547
Alba	2017	0.613
Alba	2018	0.622
Alba	2019	0.599
Alba	2020	0.614
City	2012	0.588
City	2013	0.613

and so on...

I'm trying to produce 104 individual line plots--one for each school. I started by creating a single line plot showing every school:

ggplot(nsc_enroll,
         mapping = aes(x = chrt_grad, y = enrolled, group = school)) +
  geom_line() +
  geom_point()

How can I create an individual plot for each of the 104 schools without having to filter for each school name over and over again?

Answer 1

You could use facet_wrap with ggplot,

ggplot(mtcars, aes(x = hp, y = mpg))+
        geom_point() +
        facet_wrap(~cyl)

In your case you would facet_wrap(~school), but it will produce a huge amount of plots.

Answer 2

First of all, I suppose that where you write chrt_grad it's the same as year or do you have another variable? Anyway, it's not the point. As you may know, +facet could do multiple plots, but not individually as I know. I have a similar situation and what I would do, at least it works for me, is to:

1. Spread (if you know gather/spread) variable school
2. For loop to plot each column.

I am not at home now if you need it I can text the code.

Recently I saw some new dplyr tidyverse code using nest_by. It's very interesting although I haven't tried it yet.