View source: R/create_sankey.R
| create_sankey | R Documentation |
Create a 'networkD3' style sankey chart based on a long count table with two variables. The input data should have three columns, where each row is a unique group:
Variable 1
Variable 2
Count
create_sankey(data, var1, var2, count = "n")
data |
Data frame of the long count table. |
var1 |
String containing the name of the variable to be shown on the left. |
var2 |
String containing the name of the variable to be shown on the right. |
count |
String containing the name of the count variable. |
A 'sankeyNetwork' and 'htmlwidget' object containing a two-tier
sankey plot. The output can be saved locally with
htmlwidgets::saveWidget().
Other Visualization:
afterhours_dist(),
afterhours_fizz(),
afterhours_line(),
afterhours_rank(),
afterhours_summary(),
afterhours_trend(),
collaboration_area(),
collaboration_dist(),
collaboration_fizz(),
collaboration_line(),
collaboration_rank(),
collaboration_sum(),
collaboration_trend(),
create_bar(),
create_bar_asis(),
create_boxplot(),
create_bubble(),
create_dist(),
create_fizz(),
create_inc(),
create_line(),
create_line_asis(),
create_period_scatter(),
create_rank(),
create_rogers(),
create_scatter(),
create_stacked(),
create_tracking(),
create_trend(),
email_dist(),
email_fizz(),
email_line(),
email_rank(),
email_summary(),
email_trend(),
external_dist(),
external_fizz(),
external_line(),
external_rank(),
external_sum(),
hr_trend(),
hrvar_count(),
hrvar_trend(),
keymetrics_scan(),
meeting_dist(),
meeting_fizz(),
meeting_line(),
meeting_rank(),
meeting_summary(),
meeting_trend(),
one2one_dist(),
one2one_fizz(),
one2one_freq(),
one2one_line(),
one2one_rank(),
one2one_sum(),
one2one_trend()
Other Flexible:
create_bar(),
create_bar_asis(),
create_boxplot(),
create_bubble(),
create_density(),
create_dist(),
create_fizz(),
create_hist(),
create_inc(),
create_line(),
create_line_asis(),
create_period_scatter(),
create_rank(),
create_scatter(),
create_stacked(),
create_tracking(),
create_trend()
pq_data %>%
dplyr::count(Organization, FunctionType) %>%
create_sankey(var1 = "Organization", var2 = "FunctionType")
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