hints
, blah blah blah.Do you like /r/outrun? Do you like synthwave? Cool, let's make a map like that.
Data is in world.topojson
and world-cities.csv
Which airports can you fly non-stop to out of JFK? Let's plot the airports, and draw lines for the flights. We're going to use the geoEqualEarth
projection.
Data is in world.topojson
, flights.csv
, and airport-codes-subset.csv
. You'll need to build flights.csv
.
Use this tool to build a map. It comes with instructions and code!
Data is in wolves.csv
and you'll need to create canada.svg
Because hey hey choropleths hey hey! Make the color related to who was voted for, then make the opacity related to how many people are in that county (see this). Compare the map where you use opacity to the map where you don't. Be amazed!
For the 2016 election I'm missing data for Maine - you can use counties.topojson
for 2012 or counties_with_election_data.topojson
for 2016 (sans Maine). Want to learn about how to pick colors well? read this.
Data is in counties.topojson
or counties_with_election_data.topojson
, depending on which election you want to work with.
Make the same thing, but instead of using colorScale
for Republicans vs. Democrats, just make it 100% one color if Republicans won and 100% another color if Democrats won. Compare with 4a and think about how your color scale kind of screwed up with color-by-alpha thing.
Make a map of all of the powerplants in the United States. Size the circles by their output, color them by the type of powerplant. We're just copying this, really.
Include a legend.
Data is in us_states.topojson
and powerplants.csv
Hey wait, that Washington Post thing had small multiples, didn't it? Let's do that, too.
Data is in us_states.topojson
and powerplants.csv
, because it's the SAME.