I have issues with my labelling. I have read the other posts on the topic, but can't figure out what is wrong. Can you please help?
Data:
df <- structure(list(type = c("Activity (ACTIV)", "Activity (ACTIV)",
"Activity (ACTIV)", "Function (MEREC)", "Meeting (MEONE)", "Meeting (MEONE)",
"Meeting (MEONE)", "Training (TRAIN)", "Training (TRAIN)", "Training (TRAIN)"
), month = structure(c(1546300800, 1548979200, 1551398400, 1551398400,
1546300800, 1548979200, 1551398400, 1546300800, 1548979200, 1551398400
), class = c("POSIXct", "POSIXt"), tzone = "UTC"), attendance = c(70,
258, 125, 150, 2, 71, 180, 80, 105, 32)), class = c("grouped_df",
"tbl_df", "tbl", "data.frame"), row.names = c(NA, -10L), vars = "type", drop = TRUE, indices = list(
0:2, 3L, 4:6, 7:9), group_sizes = c(3L, 1L, 3L, 3L), biggest_group_size = 3L, labels = structure(list(
type = c("Activity (ACTIV)", "Function (MEREC)", "Meeting (MEONE)",
"Training (TRAIN)")), class = "data.frame", row.names = c(NA,
-4L), vars = "type", drop = TRUE))
Which is this:
[![# A tibble: 10 x 3
# Groups: type \[4\]
type month attendance
<chr> <dttm> <dbl>
1 Activity (ACTIV) 2019-01-01 00:00:00 70
2 Activity (ACTIV) 2019-02-01 00:00:00 258
3 Activity (ACTIV) 2019-03-01 00:00:00 125
4 Function (MEREC) 2019-03-01 00:00:00 150
5 Meeting (MEONE) 2019-01-01 00:00:00 2
6 Meeting (MEONE) 2019-02-01 00:00:00 71
7 Meeting (MEONE) 2019-03-01 00:00:00 180
8 Training (TRAIN) 2019-01-01 00:00:00 80
9 Training (TRAIN) 2019-02-01 00:00:00 105
10 Training (TRAIN) 2019-03-01 00:00:00 32
ggplot:
ggplot(df, aes(month, attendance, fill = type)) +
geom_col(position = "dodge") +
geom_text(aes(label = attendance), position = position_dodge(width =-1), vjust=1)
I get this, but I want the text to be above the relevant dodged columns, not all in the middle. Can you help?
I believe the issue is that your x aesthetic is a date. Some ways around this would be to use x = as.factor(month)
and then manually set the labels for the scale:
ggplot(df, aes(x = as.factor(month), y = attendance, fill = type, label = attendance)) +
geom_col(position = "dodge") +
geom_text(position = position_dodge(width = 0.9), vjust = -0.5) +
scale_x_discrete(labels = function(x) format(as.Date(x), "%b"))
Alternatively, you may want to use facets instead:
ggplot(df, aes(x = type, y = attendance, fill = type, label = attendance)) +
geom_col() +
geom_text(vjust = -0.5, size = 3) +
facet_wrap(~ month) +
theme(
axis.text.x = element_text(angle = 60, hjust = 1, size = 6)
)
Finally, and this is personal opinion, but if a comparison over "time" is truly wanted, I would argue for a line chart. Something like:
ggplot(df, aes(x = month, y = attendance, color = type, label = attendance)) +
geom_line() +
geom_point(size = 2.5, fill = "white", shape = 21, stroke = 1, show.legend = FALSE) +
scale_x_datetime(date_breaks = "1 month", date_labels = "%b")