gistfile1.txt

library(tidyverse)

df <- tribble(
  ~agency,   ~offense,    ~type,         ~date,
  "Agency A", "Drug",     "sentence_dt", as.Date("2016-01-04"),
  "Agency A", "Person",   "sentence_dt", as.Date("2017-07-01"),
  "Agency A", "Drug",     "start_dt",    as.Date("2016-04-04"),
  "Agency A", "Drug",     "end_dt",      as.Date("2018-12-09"),
  "Agency B", "Person",   "sentence_dt", as.Date("2017-01-30"),
  "Agency B", "Person",   "start_dt",    as.Date("2017-01-30"),
  "Agency B", "Person",   "end_dt",      as.Date("2019-07-01"),
  "Agency C", "Drug",     "sentence_dt", as.Date("2019-06-10"),
  "Agency C", "Property", "sentence_dt", as.Date("2019-10-26"),
  "Agency C", "Drug",     "start_dt",    as.Date("2019-06-10"),
  "Agency C", "Drug",     "end_dt",      as.Date("2021-04-01")
  ) %>% 
  mutate(agency = fct_rev(agency))


df %>%
  ggplot() +
  geom_line(
    aes(date, agency),
    size = 18, color = "gray75",
    lineend = "round",
    alpha = 0.8
  ) +
  geom_point(
    data = filter(df, type == "sentence_dt"),
    aes(date, agency, color = offense, shape = offense),
    size = 8
    ) +
  labs(
    x = NULL,
    y = NULL,
    color = "Offense type",
    shape = "Offense type"
  ) +
  scale_x_date(breaks = "1 year", date_labels = "%Y") +
  theme_minimal() +
  theme(
    panel.grid.major.y = element_blank(),
    panel.grid.minor.x = element_blank(),
    axis.text = element_text(size = 14),
    plot.margin = margin(20, 20, 20, 20),
    legend.position = "top",
    legend.justification = c(0, 0)
    )