Choropleth of unemployment rate per county
using VegaLite, VegaDatasets
us10m = dataset("us-10m").path
unemployment = dataset("unemployment.tsv").path
@vlplot(
:geoshape,
width=500, height=300,
data={
url=us10m,
format={
typ=:topojson,
feature=:counties
}
},
transform=[{
lookup=:id,
from={
data=unemployment,
key=:id,
fields=["rate"]
}
}],
projection={
typ=:albersUsa
},
color="rate:q"
)One dot per zipcode in the U.S.
using VegaLite, VegaDatasets
dataset("zipcodes").path |>
@vlplot(
:circle,
width=500, height=300,
transform=[{calculate="substring(datum.zip_code, 0, 1)", as=:digit}],
projection={typ=:albersUsa},
longitude="longitude:q",
latitude="latitude:q",
size={value=1},
color="digit:n"
)
One dot per airport in the US overlayed on geoshape
using VegaLite, VegaDatasets
us10m = dataset("us-10m").path
airports = dataset("airports")
@vlplot(width=500, height=300) +
@vlplot(
mark={
:geoshape,
fill=:lightgray,
stroke=:white
},
data={
url=us10m,
format={typ=:topojson, feature=:states}
},
projection={typ=:albersUsa},
) +
@vlplot(
:circle,
data=airports,
projection={typ=:albersUsa},
longitude="longitude:q",
latitude="latitude:q",
size={value=10},
color={value=:steelblue}
)Rules (line segments) connecting SEA to every airport reachable via direct flight
TODO
Three choropleths representing disjoint data from the same table
TODO
U.S. state capitals overlayed on a map of the U.S
using VegaLite, VegaDatasets
us10m = dataset("us-10m").path
usstatecapitals = dataset("us-state-capitals").path
p = @vlplot(width=800, height=500, projection={typ=:albersUsa}) +
@vlplot(
data={
url=us10m,
format={
typ=:topojson,
feature=:states
}
},
mark={
:geoshape,
fill=:lightgray,
stroke=:white
}
) +
(
@vlplot(
data={url=usstatecapitals},
enc={
longitude="lon:q",
latitude="lat:q"
}
) +
@vlplot(mark={:circle, color=:orange}) +
@vlplot(mark={:text, dy=-6}, text="city:n")
)Line drawn between airports in the U.S. simulating a flight itinerary
TODO
Income in the U.S. by state, faceted over income brackets
TODO
London Tube Lines
using VegaLite, VegaDatasets
@vlplot(
width=700, height=500,
config={
view={
stroke=:transparent
}
}
) +
@vlplot(
data={
url=dataset("londonBoroughs").path,
format={
typ=:topojson,
feature=:boroughs
}
},
mark={
:geoshape,
stroke=:white,
strokeWidth=2
},
color={value="#eee"}
) +
@vlplot(
data={
url=dataset("londonCentroids").path,
format={
typ=:json
}
},
transform=[{
calculate="indexof (datum.name,' ') > 0 ? substring(datum.name,0,indexof(datum.name, ' ')) : datum.name",
as=:bLabel
}],
mark=:text,
longitude="cx:q",
latitude="cy:q",
text="bLabel:n",
size={value=8},
opacity={value=0.6}
) +
@vlplot(
data={
url=dataset("londonTubeLines").path,
format={
typ=:topojson,
feature=:line
}
},
mark={
:geoshape,
filled=false,
strokeWidth=2
},
color={
"id:n",
legend={
title=nothing,
orient="bottom-right",
offset=0
},
scale={
domain=[
"Bakerloo",
"Central",
"Circle",
"District",
"DLR",
"Hammersmith & City",
"Jubilee",
"Metropolitan",
"Northern",
"Piccadilly",
"Victoria",
"Waterloo & City"
],
range=[
"rgb(137,78,36)",
"rgb(220,36,30)",
"rgb(255,206,0)",
"rgb(1,114,41)",
"rgb(0,175,173)",
"rgb(215,153,175)",
"rgb(106,114,120)",
"rgb(114,17,84)",
"rgb(0,0,0)",
"rgb(0,24,168)",
"rgb(0,160,226)",
"rgb(106,187,170)"
]
}
}
)