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meetingtype_dist_ca.R
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meetingtype_dist_ca.R
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#' @title Meeting Type Distribution (Ways of Working Assessment Query)
#'
#' @description
#' Calculate the hour distribution of internal meeting types, using a Ways of
#' Working Assessment Query with core Workplace Analytics variables as an input.
#'
#' @param data Meeting Query data frame. Must contain the variables `Attendee` and `DurationHours`
#' @param hrvar Character string to specify the HR attribute to split the data by.
#' @param mingroup Numeric value setting the privacy threshold / minimum group size. Defaults to 5.
#' @param return String specifying what to return. This must be one of the
#' following strings:
#' - `"plot"`
#' - `"table"`
#'
#' See `Value` for more information.
#'
#' @import ggplot2
#' @import dplyr
#' @importFrom stats setNames
#'
#' @inherit meetingtype_dist return
#'
#' @family Visualization
#' @family Meetings
#'
#' @export
meetingtype_dist_ca <- function(data,
hrvar = NULL,
mingroup = 5,
return = "plot"){
mt_dist_str <- c("Bloated_meeting_hours",
"Lengthy_meeting_hours",
"Workshop_meeting_hours",
"All_hands_meeting_hours",
"Status_update_meeting_hours",
"Decision_making_meeting_hours",
"One_on_one_meeting_hours")
mt_dist_str_clean <-
mt_dist_str %>%
gsub(pattern = "_meeting_hours", replacement = "", x = .) %>%
us_to_space()
## Add dummy "Total" column if hrvar = NULL
if(is.null(hrvar)){
data <- mutate(data, Total = "Total")
hrvar <- "Total"
}
## No org splits
if(hrvar == "Total"){
myResultsTable <-
data %>%
summarise_at(vars(mt_dist_str), ~sum(., na.rm = TRUE)) %>%
gather(MeetingType, AttendeeMeetingHours) %>%
mutate(Prop = AttendeeMeetingHours / sum(AttendeeMeetingHours),
Percent = paste(round(Prop * 100), "%")) %>%
mutate(MeetingType = gsub(pattern = "_meeting_hours", replacement = "", x = MeetingType)) %>%
mutate(MeetingType = us_to_space(MeetingType))
## Only for creating the bottom row data
myResultsTableTotal <-
data %>%
summarise_at(vars(mt_dist_str), ~sum(., na.rm = TRUE)) %>%
gather(MeetingType, AttendeeMeetingHours) %>%
mutate(MeetingType = "Total") %>%
group_by(MeetingType) %>%
summarise(AttendeeMeetingHours = sum(AttendeeMeetingHours, na.rm = TRUE)) %>%
mutate(Prop = AttendeeMeetingHours / sum(AttendeeMeetingHours),
Percent = paste(round(Prop * 100), "%"))
outputTable <-
rbind(myResultsTable,
myResultsTableTotal)
} else {
## Group by hrvar
myResultsTable <-
data %>%
group_by(!!sym(hrvar)) %>%
summarise_at(vars(mt_dist_str), ~sum(., na.rm = TRUE)) %>%
left_join(data %>% hrvar_count(hrvar = hrvar, return = "table"),
by = hrvar) %>%
filter(n >= mingroup) %>%
gather(MeetingType, AttendeeMeetingHours, -!!sym(hrvar), -n) %>%
group_by(!!sym(hrvar)) %>%
mutate(Prop = AttendeeMeetingHours / sum(AttendeeMeetingHours),
Percent = paste(round(Prop * 100), "%")) %>%
mutate(MeetingType = gsub(pattern = "_meeting_hours", replacement = "", x = MeetingType)) %>%
mutate(MeetingType = us_to_space(MeetingType))
outputTable <-
myResultsTable %>%
ungroup() %>%
select(!!sym(hrvar), MeetingType, Prop) %>%
spread(MeetingType, Prop)
}
if(hrvar == "Total"){
base_df <-
data.frame(id = 1:7,
value = c("All hands",
"Bloated",
"Status update",
"Decision making",
"One on one",
"Lengthy",
"Workshop"))
duration <-
c(0, 0, 3, 3,
0, 0, 2, 2,
0, 0, 1, 1,
0, 0, 1, 1,
0, 0, 1, 1,
1, 1, 2, 2,
2, 2, 3, 3)
attendees <-
c(4, 5, 5, 4,
3, 4, 4, 3,
2, 3, 3, 2,
1, 2, 2, 1,
0, 1, 1, 0,
0, 3, 3, 0,
0, 4, 4, 0)
main_plot_df <-
rbind(base_df,
base_df,
base_df,
base_df) %>%
arrange(id) %>%
mutate(Duration = duration,
Attendees = attendees)
label_df <-
main_plot_df %>%
group_by(id, value) %>%
summarise(x = mean(Duration),
y = mean(Attendees)) %>%
mutate(value2 = sub(" ", "\n", value),
text = ifelse(id %in% c(1, 2, 6, 7),"#FFFFFF", "black"),
fill = ifelse(id %in% c(1, 2, 6, 7),"#1d627e", "#34b1e2")) %>%
left_join(select(myResultsTable, MeetingType, Percent),
by = c("value" = "MeetingType")) %>%
mutate(Percent = ifelse(is.na(Percent), "0 %", Percent)) %>%
mutate(value2 = paste(value2, Percent, sep = "\n"))
colo_v <- setNames(label_df$fill, nm = base_df$value)
text_v <- setNames(label_df$text, nm = label_df$value)
plot_object <-
main_plot_df %>%
ggplot(aes(x = Duration, y = Attendees)) +
geom_polygon(aes(fill = value, group = id),
colour = "#FFFFFF") +
scale_fill_manual(values = colo_v) +
geom_text(data = label_df, aes(x = x, y = y, label = value2, colour = value), size = 3) +
scale_colour_manual(values = text_v) +
scale_x_continuous(breaks = 0:3,
labels = c("0", "1", "2+", "")) +
scale_y_continuous(breaks = 0:5,
labels = c("2", "3-8", "9-18",
"19-50", "51+", "")) +
labs(title = "Meeting types by attendees and duration",
subtitle = "% of total time spent in meetings",
ylab = "Attendees",
xlab = "Duration (hours)",
caption = extract_date_range(data, return = "text")) +
theme_wpa_basic() +
theme(legend.position = "none")
} else {
plot_object <-
myResultsTable %>%
mutate(MeetingType = factor(MeetingType, levels = rev(mt_dist_str_clean))) %>%
mutate(Fill = case_when(MeetingType == "Bloated" ~ rgb2hex(180,180,180),
MeetingType == "Lengthy" ~ rgb2hex(120,120,120),
MeetingType == "Workshop" ~ rgb2hex(90,90,90),
MeetingType == "All hands" ~ rgb2hex(60,60,60),
MeetingType == "Status update" ~ rgb2hex(45,160,160),
MeetingType == "Decision making" ~ rgb2hex(25,120,140),
MeetingType == "One on one" ~ rgb2hex(5,85,100))) %>%
ggplot(aes(x = !!sym(hrvar), y = Prop, group = MeetingType, fill = Fill)) +
geom_bar(position = "stack", stat = "identity") +
geom_text(aes(label = paste(round(Prop * 100), "%")),
position = position_stack(vjust = 0.5),
color = "#FFFFFF",
fontface = "bold") +
scale_fill_identity(name = "Coaching styles",
breaks = c(
rgb2hex(180,180,180),
rgb2hex(120,120,120),
rgb2hex(90,90,90),
rgb2hex(60,60,60),
rgb2hex(45,160,160),
rgb2hex(25,120,140),
rgb2hex(5,85,100)
),
labels = mt_dist_str_clean,
guide = "legend") +
coord_flip() +
theme_wpa_basic() +
labs(title = "Meeting types by attendees and duration",
subtitle = "% of total time spent in meetings",
y = "Percentage",
caption = extract_date_range(data, return = "text"))
}
if(return == "table"){
outputTable
} else if(return == "plot"){
return(plot_object)
} else {
stop("Please enter a valid input for `return`.")
}
}