Time ago hrbrmstr show how to replicate a visualization made by New York Times with R.
The result we hope is like this:

I really like small multiples and this is a good example of usage. However if the multiples means a lot mini plots maybe you can try add animation.
Let’s start using the script made by Bob:
Code
# A tibble: 40,833 × 3
fips year value
<chr> <chr> <dbl>
1 01001 2002 1
2 01003 2002 2
3 01005 2002 0
4 01007 2002 1
5 01009 2002 2
6 01011 2002 0
7 01013 2002 0
8 01015 2002 1
9 01017 2002 1
10 01019 2002 1
# ℹ 40,823 more rows
Now we’ll prepare the data as the motion plugin require the data.
Code
ds <- data %>%
group_by(fips) %>%
do(item = list(
fips = first(.$fips),
sequence = .$value,
value = first(.$value))) %>%
.$item
hc <- highchart(type = "map") %>%
hc_add_series(
data = ds,
name = "drug deaths per 100,000",
mapData = uscountygeojson,
joinBy = "fips",
borderWidth = 0.01
) %>%
hc_colorAxis(stops = color_stops()) %>%
hc_title(text = "How the Epidemic of Drug Overdose Deaths Ripples") %>%
hc_subtitle(text = "Overdose deaths per 100,000") %>%
hc_legend(
layout = "horizontal",
reversed = TRUE,
floating = TRUE,
align = "right"
) %>%
hc_motion(
enabled = TRUE,
axisLabel = "year",
labels = sort(unique(data$year)),
series = 0,
updateIterval = 50,
magnet = list(
round = "floor",
step = 0.1
)
) %>%
hc_chart(marginBottom = 100)
And the result:
Back to topCitation
BibTeX citation:
@online{kunst_fuentes2016,
author = {Kunst Fuentes, Joshua},
title = {Adding Motion to Choropleths},
date = {2016-04-12},
url = {https://jkunst.com/blog/posts/2016-04-12-adding-motion-to-choropleths/},
langid = {en}
}
For attribution, please cite this work as:
Kunst Fuentes, Joshua. 2016.
“Adding Motion to
Choropleths.” April 12.
https://jkunst.com/blog/posts/2016-04-12-adding-motion-to-choropleths/.