Hello,
I'm attempting to create a nice bar plot which the columns are arranged from the largest to smallest.
I thought reorder()
function on the x aesthetics would do the trick... I was wrong.
Please find my reprex
bellow, any insight is welcome.
df <- tibble::tribble(
~case_id, ~collision_severity, ~weather_1, ~weather_2, ~lighting, ~road_surface, ~road_condition_1, ~road_condition_2, ~statewide_vehicle_type_at_fault, ~killed_victims, ~pedestrian_killed_count, ~bicyclist_killed_count, ~motorcyclist_killed_count, ~injured_victims, ~pedestrian_injured_count, ~bicyclist_injured_count, ~motorcyclist_injured_count, ~collision_date, ~collision_time, ~latitude, ~longitude,
"90967864", "pain", "clear", NA, "daylight", "dry", "normal", NA, "passenger car", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-04-04", "16:40:00", 34.00895, -118.41632,
"8943937", "other injury", "clear", NA, "dark with street lights", "dry", "normal", NA, NA, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-09-12", "19:30:00", NA, NA,
"90955953", "pain", "clear", NA, "dark with street lights", "dry", "normal", NA, NA, 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-03-18", "06:10:00", 34.01322, -118.48904,
"90951291", "pain", "clear", NA, "daylight", "dry", "normal", NA, "passenger car", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-03-12", "18:10:00", 34.03114, -118.43421,
"91034615", "other injury", "clear", NA, "daylight", "dry", "normal", NA, "motorcycle or scooter", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-07-10", "15:10:00", 34.03158, -118.18798,
"91023126", "other injury", "clear", NA, "daylight", "dry", "normal", NA, "motorcycle or scooter", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-06-20", "18:50:00", 34.15891, -118.63798,
"8947061", "other injury", "clear", NA, "daylight", "dry", "normal", NA, "passenger car", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-09-05", "17:10:00", 34.0012, -117.9138,
"91052595", "pain", "clear", NA, "daylight", "dry", "normal", NA, "motorcycle or scooter", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-08-08", "13:00:00", 34.20753, -117.86526,
"8982400", "pain", "clear", NA, "daylight", "dry", "normal", NA, "passenger car", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-10-29", "13:10:00", NA, NA,
"8915111", "other injury", "clear", NA, "daylight", "dry", "normal", NA, "passenger car", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-07-16", "10:30:00", NA, NA,
"8854771", "other injury", "clear", NA, "daylight", "dry", "normal", NA, "pickup or panel truck", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-04-17", "07:50:00", NA, NA,
"91020607", "pain", "clear", NA, "daylight", "dry", "normal", NA, "passenger car", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-06-18", "18:00:00", 33.92823, -118.10314,
"91113406", "other injury", "clear", NA, "dark with street lights", "dry", "normal", NA, "passenger car", 0L, 0L, 0L, 0L, 2L, 0L, 0L, 1L, "2019-10-23", "05:35:00", 34.31018, -118.48873,
"8909266", "other injury", "cloudy", NA, "daylight", "dry", "normal", NA, "pickup or panel truck", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-05-26", "17:25:00", NA, NA,
"8885748", "property damage only", "clear", NA, "daylight", "dry", "normal", NA, "motorcycle or scooter", 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, "2019-06-07", "11:50:00", NA, NA,
"91002354", "pain", "clear", NA, "daylight", "dry", "normal", NA, "motorcycle or scooter", 0L, 0L, 0L, 0L, 2L, 0L, 0L, 1L, "2019-05-24", "17:58:00", 34.03628, -118.02464,
"90974571", "severe injury", "clear", NA, "dark with street lights", "dry", "normal", NA, "passenger car", 0L, 0L, 0L, 0L, 3L, 0L, 0L, 1L, "2019-04-20", "02:43:00", 34.34095, -118.52141,
"8979326", "property damage only", "clear", NA, "dark with street lights", "dry", "normal", NA, NA, 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, "2019-08-05", "22:55:00", NA, NA,
"91001741", "pain", "clear", NA, "daylight", "dry", "normal", NA, "motorcycle or scooter", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-05-25", "15:10:00", 34.0362, -118.3222,
"8808299", "other injury", "clear", NA, "daylight", "dry", "normal", NA, "passenger car", 0L, 0L, 0L, 0L, 2L, 0L, 0L, 2L, "2019-06-23", "14:25:00", NA, NA,
"91065692", "other injury", "clear", NA, "daylight", "dry", "normal", NA, "motorcycle or scooter", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-08-23", "06:15:00", 33.87671, -118.09548,
"9013814", "property damage only", "clear", NA, "dusk or dawn", "dry", "normal", NA, "motorcycle or scooter", 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, "2019-12-18", "17:00:00", NA, NA,
"8936866", "severe injury", "clear", NA, "daylight", "dry", "normal", NA, "motorcycle or scooter", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-08-27", "19:15:00", NA, NA,
"9020373", "pain", "clear", NA, "dark with street lights", "dry", "normal", NA, "passenger car", 0L, 0L, 0L, 0L, 2L, 0L, 0L, 1L, "2019-11-04", "09:50:00", NA, NA,
"90989526", "severe injury", "clear", NA, "daylight", "dry", "normal", NA, "motorcycle or scooter", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-05-03", "09:25:00", 33.97418, -118.12426,
"9100514", "other injury", "clear", NA, "dark with no street lights", "dry", "normal", NA, "passenger car", 0L, 0L, 0L, 0L, 6L, 0L, 0L, 5L, "2019-12-21", "17:02:00", 33.88993, -118.30477,
"9013220", "severe injury", "clear", NA, "daylight", "dry", "normal", NA, "passenger car", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-12-17", "10:10:00", NA, NA,
"8959291", "property damage only", "clear", NA, "daylight", "dry", "normal", NA, "motorcycle or scooter", 0L, 0L, 0L, 0L, 0L, 0L, 0L, 0L, "2019-09-19", "07:15:00", 34.01001, -118.12108,
"9034445", "pain", "clear", NA, "daylight", "dry", "normal", NA, "passenger car", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-09-15", "08:30:00", NA, NA,
"8893570", "severe injury", "clear", NA, "daylight", "dry", "normal", NA, "passenger car", 0L, 0L, 0L, 0L, 1L, 0L, 0L, 1L, "2019-06-29", "11:40:00", NA, NA
)
# This is the working bar plot:
df %>% group_by(collision_severity) %>% ggplot(aes(x = collision_severity, fill = collision_severity)) + geom_bar(alpha = 0.85, show.legend = FALSE) +
labs(title = "2019, Motorcycle Accident Collisions by Severity in LA",
y = "Count",
x = NULL)+ theme_minimal() +
theme(plot.title = element_text(size = 8),
axis.text.x = element_text(size = 8)
) +
scale_fill_viridis(end = 0.85, discrete=TRUE) +
scale_x_discrete(guide = guide_axis(n.dodge=2))
#> Error in df %>% group_by(collision_severity) %>% ggplot(aes(x = collision_severity, : could not find function "%>%"
# My attempt to have it reorder from largest to smallest, I thought the "Reorder" function was the one to use here.
df %>% group_by(collision_severity) %>% ggplot(aes(x = reorder(collision_severity), fill = collision_severity)) + geom_bar(alpha = 0.85, show.legend = FALSE) +
labs(title = "2019, Motorcycle Accident Collisions by Severity in LA",
y = "Count",
x = NULL)+ theme_minimal() +
theme(plot.title = element_text(size = 8),
axis.text.x = element_text(size = 8)
) +
scale_fill_viridis(end = 0.85, discrete=TRUE) +
scale_x_discrete(guide = guide_axis(n.dodge=2))
#> Error in df %>% group_by(collision_severity) %>% ggplot(aes(x = reorder(collision_severity), : could not find function "%>%"
Created on 2021-11-22 by the reprex package (v2.0.1)
Thanks.
TB.