mtreg · August 7, 2019 00:36
diff --git a/plotly_sunburst_challenge.R b/plotly_sunburst_challenge.R
 library(plotly)

 # Create some fake data - say ownership and land use data with acreage
 df <- data.frame(ownership=c(rep("private", 3), rep("public",3),rep("mixed", 3)), 
                 landuse=c(rep(c("residential", "recreation", "commercial"),3)),
                 acres=c(108,143,102, 300,320,500, 37,58,90))

 # Just try some quick pie charts of acreage by landuse and ownership
 plot_ly(data=df, labels= ~landuse, values= ~acres, type='pie')
 plot_ly(data=df, labels= ~ownership, values= ~acres, type='pie')

 # This doesn't render anything... not that I'd expect it to given the data format doesn't seem to match what's needed, 
 # but this is what I'd intuitively expect to work.. 
 plot_ly(data=df, labels= ~landuse, parents = ~ownership, values= ~acres, type='sunburst')

 # Is there an easy way to go from the dataframe, df, to hierarchical format needed for sunburst?
	library(plotly)

	# Create some fake data - say ownership and land use data with acreage
	df <- data.frame(ownership=c(rep("private", 3), rep("public",3),rep("mixed", 3)),
	landuse=c(rep(c("residential", "recreation", "commercial"),3)),
	acres=c(108,143,102, 300,320,500, 37,58,90))

	# Just try some quick pie charts of acreage by landuse and ownership
	plot_ly(data=df, labels= ~landuse, values= ~acres, type='pie')
	plot_ly(data=df, labels= ~ownership, values= ~acres, type='pie')

	# This doesn't render anything... not that I'd expect it to given the data format doesn't seem to match what's needed,
	# but this is what I'd intuitively expect to work..
	plot_ly(data=df, labels= ~landuse, parents = ~ownership, values= ~acres, type='sunburst')

	# Is there an easy way to go from the dataframe, df, to hierarchical format needed for sunburst?