I am trying to create a chart like this one produced in the NYTimes using ggplot:
I think I'm getting close, but I'm not quite sure how to separate out some of my data so I get the right view. My data is political office holders that appear something like this:
name,year_elected,year_left,years_in_office,type,party
Person 1,1969,1969,1,Candidate,Unknown
Person 2,1969,1971,2,Candidate,Unknown
Person 3,1969,1973,4,Candidate,Unknown
Person 4,1969,1973,4,Candidate,Unknown
Person 5,1971,1974,3,Candidate,Unknown
Person 1,1971,1976,5,Candidate,Unknown
Person 2,1971,1980,9,Candidate,Unknown
Person 6,1973,1978,5,Candidate,Unknown
Person 7,1973,1980,7,Candidate,Unknown
Person 8,1975,1980,5,Candidate,Unknown
Person 9,1977,1978,1,Candidate,Unknown
library(googlesheets)
library(tidyverse)
# I'm reading from a Google Spreadsheet
data <- gs_title("Council Members")
data_sj <- gs_read(ss = data, ws = "Sheet1")
ggplot(data, aes(year_elected, years_in_office)) +
geom_segment(aes(x = year_elected, y = 0,
xend = year_left, yend = years_in_office)) +
theme_minimal()
If your data frame is called d
, then:
data.table
year_electer
year_left
Use ggrepel
to add text if there are many points.
Code:
library(data.table)
library(ggplot2)
library(ggrepel)
d[, year_elected2 := jitter(year_elected)]
d[, year_left2 := year_left + year_elected2 - year_elected + 0.01]
d[, group := TRUE]
d[factor(years_in_office %/% 9) == 1, group := FALSE]
ggplot(d, aes(year_elected2, years_in_office)) +
geom_segment(aes(x = year_elected2, xend = year_left2,
y = 0, yend = years_in_office, linetype = group),
alpha = 0.8, size = 1, color = "grey") +
geom_point(aes(year_left2), color = "black", size = 3.3) +
geom_point(aes(year_left2, color = group), size = 2.3) +
geom_text_repel(aes(year_left2, label = name), ) +
scale_colour_brewer(guide = FALSE, palette = "Dark2") +
scale_linetype_manual(guide = FALSE, values = c(2, 1)) +
labs(x = "Year elected",
y = "Years on office") +
theme_minimal(base_size = 10)
Result: