background = FileAttachment("background@1.geojson").json()
spotsLink = 'https://docs.google.com/spreadsheets/d/e/2PACX-1vRwB-ukffxTe8cd2j54Lg_PGvR-3Dm6A6TZNS9AV1TRz5iNL3shNkXsyJLlXTGzcI4UCkyh9MJS9P0G/pub?output=csv'
spots = d3.csv(spotsLink,d3.autoType)
walks = FileAttachment("walks@1.geojson").json()
curbs = FileAttachment("curbs.geojson").json()
walks1 = FileAttachment("weekend_walk.geojson").json()
{const people = [{movie:'movie1',color:'red'},{movie:'movie2',color:'red2'}]
return people
}
zips = FileAttachment("boundaries.geojson").json()
nycParks = FileAttachment("parks_nyc_reduced@2.geojson").json()
subway_lines = FileAttachment("subway_lines@2.geojson").json()
subSts = FileAttachment("subway_sts@1.geojson").json()
boundary_03 = FileAttachment("boundary_04.geojson").json()
boundary_01 = FileAttachment("boundary_01@1.geojson").json()
d3 = require("d3@6")
box = 'https://docs.google.com/spreadsheets/d/e/2PACX-1vRlLW6JcSye2uCpq29RZVWNXSCgTKcrPtQZ7XCqGOJuwzf0ZVUB3rhz3x1L2TVgBdRlVo8IZHjylk_Y/pub?output=csv'
studioSite = d3.csv(box,d3.autoType)
poiLink = 'https://docs.google.com/spreadsheets/d/e/2PACX-1vRwB-ukffxTe8cd2j54Lg_PGvR-3Dm6A6TZNS9AV1TRz5iNL3shNkXsyJLlXTGzcI4UCkyh9MJS9P0G/pub?output=csv'
pois = d3.csv(poiLink,d3.autoType)
bldgs = FileAttachment("bldgs.geojson").json()
import { wrap_text, wrap_text_nchar } from "@ben-tanen/svg-text-and-tspan-word-wrapping"
Purpose-built for displays of data
Observable is your go-to platform for exploring data and creating expressive data visualizations. Use reactive JavaScript notebooks for prototyping and a collaborative canvas for visual data exploration and dashboard creation.
