r - Graphing solutions for over-plotted data, faceting, and adding line of best fit -


originally, thinking need 2 plots - 1 plot "female_life_growth" vs "rate_median_income" "census region" , 1 if red/blue state (red_blue). i've been messing ggplot can't figure out plot complicated of data.

update: here's i've tried; way make better visual?. enter image description here

update: added faceting. how add line of best fit each?. enter image description here

sample data:

df <- data.frame(female_life_growth=c(-3.48,-3.48,-3.39,-3.39,-3.17,-3.17,                                       -2.73,-2.57,-2.57,-2.57,-2.57,-2.51),                  red_blue=c('red','red','red','blue','red','blue',                             'blue','red','blue','red','blue','red'),                  rate_median_income=c(33378,45726,31211,20206,29050,33799,                                       38664,32538,39171,41403,34217,35789),                  census_region=c('south','south','south','midwest','midwest',                                  'west','northeast','west','west','northeast',                                  'midwest','northeast'))

here's 1 way:

require(ggplot2)  ggplot(df) +   geom_point(aes(x=rate_median_income,y=female_life_growth,                  col=red_blue,shape=census_region),size=2.5) +   scale_color_manual(breaks=c("blue","red"),values=c("blue","red")) +   xlab("rate median income") +   ylab("female life growth") +   guides(shape=guide_legend("census region"),          col=guide_legend("political leaning\nof state"))

output:

enter image description here

edit: in case of over-plotting, try faceting data:

ggplot(df) +   geom_point(aes(x=rate_median_income,y=female_life_growth,                  col=red_blue,shape=census_region),size=2.5) +   facet_wrap(~ census_region) +   scale_color_manual(breaks=c("blue","red"),values=c("blue","red")) +   xlab("rate median income") +   ylab("female life growth") +   guides(shape=guide_legend("census region"),          col=guide_legend("political leaning\nof state"))

output:

enter image description here

note: can remove legends if you'd like. included them educational purposes. remove shape legend, example, use guides(shape=false).

edit: add line of best fit each, try this:

ggplot(df) +   geom_point(aes(x=rate_median_income,y=female_life_growth,                  col=red_blue,shape=census_region),size=2.5) +   geom_smooth(aes(x=rate_median_income,y=female_life_growth),                method="lm", se=false, col="black") +   facet_wrap(~ census_region) +   scale_color_manual(breaks=c("blue","red"),values=c("blue","red")) +   xlab("rate median income") +   ylab("female life growth") +   guides(shape=guide_legend("census region"),          col=guide_legend("political leaning\nof state"))

output:

enter image description here


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