To the stars and beyond! 🚀
Public
Edited
Feb 28, 2023
pdfView(await FileAttachment("buddhism-final.pdf").url(), {
backgroundColor: "#776EA7",
fontColor: "#BDC6FF",
scale: 2
})
FileAttachment("slide1.png").image()
bgis-csv@1.csv
Type Table, then Shift-Enter. Ctrl-space for more options.
Plot.plot({
marks: [
Plot.dot(bgisCsv1, {x: "NEW_LAT", y: "NEW_LONG"})
]
})
FileAttachment("slide2.png").image()
Plot.plot({
marks: [
Plot.barY(bgisCsv1, {x: "TYPE_ENG", y: "OBJECTID", sort: {x: "y", reverse: true}}),
Plot.ruleY([0,100000]),
// Plot.color(field: "TYPE_ENG", type: "nominal", scale: {scheme: "category10"})
]
})
germanMorals = FileAttachment("german-morals.png").image()
printTable(germanyResponses)
printTable(ukResponses.splice(1,20))
FileAttachment("uk-bvc.png").image()
{
const type_eng = vl
// .markPoint({ color: "#ec6833", size: 90, filled: true })
.data(bgis)
.encode(vl.x().fieldN("TYPE_ENG"), vl.tooltip(["TYPE_END"]));
}
stateProps = [
{ state: "Alabama", population: 2555 },
{ state: "Alaska", population: 3100 },
{ state: "Arizona", population: 6530 },
{ state: "Arkansas", population: 1555 },
{ state: "California", population: 73940 },
{ state: "Colorado", population: 5040 },
{ state: "Connecticut", population: 3770 },
{ state: "Delaware", population: 1505 },
{ state: "District of Columbia", population: 1515 },
{ state: "Florida", population: 10100 },
{ state: "Georgia", population: 4840 },
{ state: "Hawaii", population: 24960 },
{ state: "Idaho", population: 1600 },
{ state: "Illinois", population: 13260 },
{ state: "Indiana", population: 3270 },
{ state: "Iowa", population: 1650 },
{ state: "Kansas", population: 3070 },
{ state: "Kentucky", population: 2195 },
{ state: "Louisiana", population: 4650 },
{ state: "Maine", population: 3030 },
{ state: "Maryland", population: 6440 },
{ state: "Massachusetts", population: 7040 },
{ state: "Michigan", population: 9820 },
{ state: "Minnesota", population: 2815 },
{ state: "Mississippi", population: 1545 },
{ state: "Missouri", population: 6420 },
{ state: "Montana", population: 3120 },
{ state: "Nebraska", population: 3120 },
{ state: "Nevada", population: 1570 },
{ state: "New Hampshire", population: 1515 },
{ state: "New Jersey", population: 4430 },
{ state: "New Mexico", population: 3120 },
{ state: "New York", population: 19660 },
{ state: "North Carolina", population: 5110 },
{ state: "North Dakota", population: 1690 },
{ state: "Ohio", population: 11320 },
{ state: "Oklahoma", population: 1955 },
{ state: "Oregon", population: 2095 },
{ state: "Pennsylvania", population: 6830 },
{ state: "Rhode Island", population: 1525 },
{ state: "South Carolina", population: 2475 },
{ state: "South Dakota", population: 3050 },
{ state: "Tennessee", population: 6610 },
{ state: "Texas", population: 25350 },
{ state: "Utah", population: 3150 },
{ state: "Vermont", population: 3060 },
{ state: "Virginia", population: 8820 },
{ state: "Washington", population: 7140 },
{ state: "West Virginia", population: 1545 },
{ state: "Wisconsin", population: 3000 },
{ state: "Wyoming", population: 3160 }
]
printTable(stateProps.splice(1, 5))
vegaDatasets = (await require("vega-datasets@1.21.1")).default
embed = require("vega-embed@3")
projection = d3.geoAlbersUsa().scale(1300).translate([487.5, 305])
path = d3.geoPath()
us = FileAttachment("counties-albers-10m.json").json()
topojson = require("topojson-client@3")
colorScale = d3.scaleSequential(d3.interpolatePurples)
.domain([d3.min(data,d => d.value),
d3.max(data,d => d.value)])
// .range(["#ffffd9","#edf8b1","#c7e9b4","#7fcdbb","#41b6c4","#1d91c0","#225ea8","#253494","#081d58"])
color = d3.scaleQuantize([43434, 83385], d3.schemePurples[9])
import {VegaLite} from 'vega-lite';
import {vega} from 'vega';
const spec = {
"$schema": "https://vega.github.io/schema/vega-lite/v5.json",
"data": {
"values": [
{"year": 2014, "tier": "a", "value": 29},
{"year": 2007, "tier": "a", "value": 39},
{"year": 2014, "tier": "b", "value": 29},
{"year": 2007, "tier": "b", "value": 28},
{"year": 2014, "tier": "c", "value": 10},
{"year": 2007, "tier": "c", "value": 7},
{"year": 2014, "tier": "d", "value": 1},
{"year": 2007, "tier": "d", "value": 1},
{"year": 2014, "tier": "e", "value": 27},
{"year": 2007, "tier": "e", "value": 19},
{"year": 2014, "tier": "f", "value": 4},
{"year": 2007, "tier": "f", "value": 6}
]
},
"mark": {"type": "bar", "cornerRadiusEnd": 3},
"encoding": {
"y": {"field": "tier", "type": "nominal", "sort": ["a", "b", "c", "d", "e", "f"]},
"x": {"field": "value", "type": "quantitative", "axis": {"title": "%"}},
"color": {
"field": "year",
"type": "nominal",
"scale": {"range": ["#4c78a8", "#f58518"]},
"legend": {"title": "Year"}
}
},
"width": 500,
"height": 150,
"title": "Comparison of Tiers by Year"
};
const runtime = new VegaLite.Runtime();
const view = new VegaLite.View(runtime, spec, {renderer: "svg"});
const svg = view.toSVG();
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