Crop plots look something like this:
The above shows a calendar year and bars that cover various seasons for each crop.
I have been trying to make a "crop plot" for sports, by recreating the following plot:
Here is my attempt:
library(tidyverse)
library(scales)
cal <- tribble(
  ~sport,   ~reg,          ~year_end,    ~year_begin, ~reg_end,       ~pst_end, 
  "nfl",    "2017-09-07",  "2017-12-31", "2017-01-01" ,"2017-01-01",   "2017-02-05",
  "nba",    "2017-10-18",  "2017-12-31", "2017-01-01" ,"2017-04-13",   "2017-06-19",
  "mlb",    "2017-04-02",  "2017-10-04", "2017-10-04" ,"2017-10-04",   "2017-11-02",
  # don't want to designate a pst season for ncaa_fb. 
  "ncaa_fb","2017-08-26",  "2017-12-31", "2017-01-01" ,"2017-01-10",   "2017-01-10",
)
ggplot(cal, aes(x=sport)) +
  geom_linerange(aes(ymin=reg, ymax=year_end), color="#324D5C", size=5) +
  geom_linerange(aes(ymin=year_begin, ymax=reg_end), color="#324D5C", size=5) +
  geom_linerange(aes(ymin=reg_end, ymax=pst_end), color="#ED3752", size=5) +
  coord_flip() +
  theme_bw()

Created on 2018-08-21 by the reprex package (v0.2.0).
I have two questions/problems:
- Is there are better way to handle the season "wraping" around the year? currently I have to specify a year end date and a year beginning date to give the appearance of the season wrapping. 
- How can I get two labels for an axis? They have an axis for date, but two labels (month and quarter). It looks like I can only specify one label. 
- Is there a better way to go about making these kind of plots? Right now this processes feel very manual. I wonder if someone else has had success with another method. 
Extra:
Similar thread here.
Edit
This original data is large, so I will not dput is here, but this is the first few rows. Hopefully this gives some idea as to the form of the data.
        date   sport event
1 2017-12-31 nfl_reg     1
2 2017-12-30 nfl_reg     0
3 2017-12-29 nfl_reg     0
4 2017-12-28 nfl_reg     0
5 2017-12-27 nfl_reg     0
6 2017-12-26 nfl_reg     0


