library(dplyr)
# Compute summary table
out_df <-
sq_data %>%
group_by(Organization) %>%
summarise(
across(
.cols = c(
Workweek_span,
Collaboration_hours
),
.fns = ~median(., na.rm = TRUE)
),
.groups = "drop"
) %>%
tidyr::pivot_longer(
cols = c("Workweek_span", "Collaboration_hours"),
names_to = "metrics"
)
keymetrics_scan_asis(
data = out_df,
col_var = "metrics",
row_var = "Organization"
)
# Show data the other way round
keymetrics_scan_asis(
data = out_df,
col_var = "Organization",
row_var = "metrics",
group_var = "metrics"
)
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