Carlos Scheidegger cscheid

The scatterplot matrix visualizations pairwise correlations for multi-dimensional data; each cell in the matrix is a scatterplot. This example uses Anderson's data of iris flowers on the Gaspé Peninsula. Scatterplot matrix design invented by J. A. Hartigan; see also R and GGobi. Data on Iris flowers collected by Edgar Anderson and published by Ronald Fisher.

See also this version with brushing.

A demo of TopoJSON on a U.S. counties shapefile from the census bureau using d3.geo.albersUsa. The same TopoJSON file can also be used to show counties.

This choropleth encodes unemployment rates from 2008 with a quantize scale ranging from 0 to 15%. A threshold scale is a useful alternative for coloring arbitrary ranges.

This example demonstrates how to create a gradient that follows a stroke. This technique is sometimes used to indicate directionality along a curved edge, such as with hierarchical edge bundling.

To start, take any SVG path element and uniformly sample points along the path using getPointAtLength. (This method can also be used for path tweening.) Then, for each segment between adjacent points, compute the miter joint via line-line intersection. Lastly fill each segment by interpolating the start and end colors, here green to red, using the normalized length t along the path. Although each segment is a constant color, there are many segments to give the appearance of a continuous gradient.

This example uses a thin stroke in addition to filling the segments. This avoids antialiasing artifacts due to most

	setwd("~/Downloads")
	obs <- XML2Obs("out.xml", url.map=TRUE)
	unique(names(obs)) #you might want to re_name or add_key before collapsing
	tmp = add_key(obs, parent="url1//osm//way", key.name="way_id")
	tmp = add_key(tmp, parent="url1//osm//node", key.name="node_id")
	tmp = add_key(tmp, parent="url1//osm//relation", key.name="relation_id")
	tables <- collapse(obs) # holy crap this takes a long-ass time
	write.table(tables$`url1//osm//way//nd`, "ways.csv", sep=",")
	write.table(tables$`url1//osm//way//tag`, "way_tags.csv", sep=",")
	write.table(tables$`url1//osm//node`, "nodes.csv", sep=",")

	Area State,Area Type,Area,City,Date,LAUS Code,State,Area FIPS Code,Employed,Labor Force,Month,State FIPS Code,Unemployed,Unemployment Rate,Year
	ME,Met NECTA,Portland-South Portland-Biddeford,Portland,1/1/2000,MT237675,ME,76750,184223,189622,1,23,5399,2.8,2000
	ME,Met NECTA,Bangor,Bangor,1/1/2000,MT237075,ME,70750,64191,66618,1,23,2427,3.6,2000
	ME,Met NECTA,Lewiston-Auburn,Lewiston,1/1/2000,MT237465,ME,74650,52934,54950,1,23,2016,3.7,2000
	MA,Met NECTA,Pittsfield,Pittsfield,1/1/2000,MT257660,MA,76600,37117,38301,1,25,1184,3.1,2000
	MA,Met NECTA,Leominster-Fitchburg-Gardner,Leominster,1/1/2000,MT257450,MA,74500,71032,73398,1,25,2366,3.2,2000
	MA,Met NECTA,Barnstable Town,Barnstable Town,1/1/2000,MT257090,MA,70900,121657,125999,1,25,4342,3.4,2000
	MA,Met NECTA,New Bedford,New Bedford,1/1/2000,MT257555,MA,75550,79221,82833,1,25,3612,4.4,2000
	MA-CT,Met NECTA,Worcester,Worcester,1/1/2000,MT257960,MA,79600,273295,281124,1,25,7829,2.8,2000