Nothing
set.seed(620)
labels <-
data.frame(
id = 1:20,
label = sample(c("priority:high", "priority:med", "priority:low"), 20, replace = TRUE),
stringsAsFactors = FALSE
) %>%
tidyr::separate(label, into = c("super", "sub"), sep = ":", remove = FALSE)
assignees <-
data.frame(
id = 1:20,
assignee = sample(c("Person1", "Person2", "Person3"), 20, replace = TRUE),
stringsAsFactors = FALSE
)
viz_assignees_priority <- function(assignees, labels){
assignee_labels <-
left_join(assignees,
filter(labels, super == 'priority'),
by = "id") %>%
group_by(assignee, sub) %>%
count() %>%
ungroup() %>%
mutate(sub = factor(sub,
levels = c("low", "med", "high"),
labels = c("Low", "Med", "High")))
ggplot(
assignee_labels,
aes(
x = sub,
y = assignee,
fill = -1*n,
label = n
)
) +
geom_tile() +
geom_text() +
theme_bw() +
theme(axis.title = element_blank()) +
labs(title = "Backlog Items by Association and Priority") +
guides(fill = FALSE)
}
viz_backlog_counts <- function(labels){
labels %>%
filter(super == "priority") %>%
mutate(sub = factor(sub,
levels = c("low", "med", "high"),
labels = c("Low", "Med", "High"))) %>%
ggplot(aes(x = sub, fill = sub)) + geom_bar() +
scale_fill_manual(
values = c("Low" = "darkgreen", "Med" = "goldenrod", "High" = "darkred")
) +
theme_bw() +
theme(axis.title = element_blank()) +
guides(fill = FALSE) +
labs(title = "Outstanding Backlog Items by Criticality",
subtitle = "Status as of YYYY-MM-DD")
}
viz_assignees_priority(assignees, labels)
viz_backlog_counts(labels)
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