Notebooks 2.0 is here.
margin = ({ top: 10, right: 10, bottom: 10, left: 10 })
data = Object.assign(new Map(filter),({GRID_ID,Dec_Diff}) => [GRID_ID,[+Dec_Diff]])
table = d3.csvParse(await FileAttachment("MODIS_table_Decadal_Diffs.csv").text(),({GRID_ID,Dec_Diff}) => [GRID_ID,[+Dec_Diff]])
land_geo = topojson.feature(land,land.objects.ne_10m_land)
land_hex_geo = topojson.feature(land_hex,land_hex.objects.tess_50k_WGS_land_nodl)
land_hex = FileAttachment("tess_50k_WGS_land_nodl_topo.json").json()
land = FileAttachment("ne_10m_land (2).json").json()
//topo = FileAttachment("TESS_1000sqkm_topo_2.json").json()
topo = FileAttachment("tess_50k_50N_WGS_topo.json").json()
geo = topojson.feature(topo,topo.objects.tess_50k_50N_WGS)
//5ab4ac is blue, pos values
ramp = ['#5ab4ac','#f5f5f5','#d8b365']
path = d3.geoPath(projection)
input = require("@observablehq/inputs")
topojson = require("topojson-client@3")
import { Tooltip } from "@clhenrick/tooltip-component"
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.
