grant_id <- 1:100
funding_agency <- sample(rep(c("NIAID", "NIGMS", "NHLBI", "NCI", "NINDS"), 20))
study_section <- sample(rep(
  c("Tumor Cell Biology", "Tumor Progression", "Vector Biology", 
    "Molecular Genetics", "Medical Imaging", "Macromolecular Structure",
    "Infectious Diseases", "Drug Discovery", 
    "Cognitive Neuroscience", "Aging and Geriatrics"), 10
))
total_cost <- rnorm(100, mean = 30000, sd = 10000)
# source, target and value have to be the names
d <- data.frame(
  id = grant_id, 
  source = funding_agency, 
  target = study_section, 
  value = total_cost
)
require(rCharts)
sankeyPlot <- rCharts$new()
sankeyPlot$setLib('//timelyportfolio.github.io/rCharts_d3_sankey')
sankeyPlot$set(
  data = d,
  nodeWidth = 15,
  nodePadding = 10,
  layout = 32,
  width = 750,
  height = 500,
  labelFormat = ".1%"
)
sankeyPlot