Maps are a great way to clearly represent the relevance of data to people's lives. In these videos, you will learn to create a:
We'll be exploring green stormwater infrastructure in Seattle using maps.
A point map displays geographic information which consists of points like the latitude and longitude of water wells or trees. The dataset you use must have a properly formatted georeference column in order for this to work. Try it out on our Seattle Trees dataset.
Also known as a region map. Choropleth maps are used to aggregate, or tally up, data based on geographic boundaries. On this site, we have configured these boundaries for Seattle council districts and LA County census tracts. However, site administrators can configure any number of boundaries, including neighborhoods, census tracts, precinct, counties, regions, etc. Use the same Seattle Trees dataset as above to count up the number of trees in each council district.
Vectors and polygons and multipolygons. This is a useful way to visualize the shapes of things on a map. For this exercise, use the Seattle Tree Canopy dataset.
Combine datasets for even more insight. Imagine a map of bus routes coupled with the locations of public services, or a map of bike lanes on top of collisions involving bicyclists. The magic of data happens when you combine multiple datasets to paint a robust picture. The two datasets used in this are GSI Facility Footprints and Green
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Tell a Story with Socrata Perspectives Data is only useful if you do something with it, and the best way to do that is by telling a story.