3c:null 3d:["$","title",null,{"children":"Rumor ruler for measuring cities | Namor Votilav | Observable"}] 43:T67a,Ինչո կա-չկա?[inch' ka-ch'ka] in armenian ‘What’s up?’— is a greeting and an incentive to share rumors. It is also a name for a ruler — a tool for measuring the _parafactological landscape_ of the city.In absence of facts we have to deal with the word of mouth which is beyond _factological_, it is filtered by interest, amplified by oddity and refracted through personal fears and beliefs Rumors are inaccurate bits of colloquial data. In absence of fact, they serve as a shared mapping tool. Studying the city through the lens of rumors fits well for less-documented cities, ones with fragmented archives and close familial relationships such as in Yerevan. We have conducted an analysis of ${rumors.length} rumors of people and buildings, determined their location, discovered their ${line(rumors.map(d=>d.Depth).sort((a,b)=>a-b), { width: 50, height: 20, color: "black"})} depth and radius, defined perceived distance from the truth in ${histogram(rumors.map(d=>d.Oddity), { width: 50, height: 20, thresholds: 10, color: { fill: "#f85827", fill: "color(display-p3 0.972549 0.345098 0.152941 / 1.000000)" }, margin: { horizontal: 0, vertical: 0 } })} ‘oddity’ and marked the ${histogram(rumors.map(d=>d["Faith"]), { width: 50, height: 20, thresholds: 10, color: { fill: "#53c7cb", fill:"color(display-p3 0.325490 0.780392 0.796078 / 1.000000)" }, margin: { horizontal: 0, vertical: 0 } })} teller’s faith. The shape of data informed the shape of a ruler and transitionally defined a method for similar research in other cities. 44:T8a6,Plot.plot({ width: 700, height: 700, color: { range: ["#53c7cb", "#f85827"], interpolate: d3.interpolateRgb.gamma(3) }, symbol: { legend: true, domain: rumors.map((d) => d.Category) }, projection: { type: "mercator", rotate: [-44.508, -40.18, 0], inset: -2500000 }, r: { range: [1, 2, 5, 15] }, marks: [ Plot.raster(rumors, { x: (d) => parseFloat(d.Coordinates.split(", ")[1]), y: (d) => parseFloat(d.Coordinates.split(", ")[0]), fill: "Oddity", interpolate: "random-walk", // blur: 1, opacity: 0.9 }), Plot.geo(yerevan_roads.features, { stroke: "white", opacity: 0.25 }), Plot.text( rumors, Plot.pointer({ px: (d) => parseFloat(d.Coordinates.split(", ")[1]), py: (d) => parseFloat(d.Coordinates.split(", ")[0]), text: "Rumor", frameAnchor: "top-left", fill: "white", stroke: "#f85827", dy: 10, dx: 10, lineWidth: 24, fontSize: 20 }) ), Plot.dot( rumors, Plot.pointer({ x: (d) => parseFloat(d.Coordinates.split(", ")[1]), y: (d) => parseFloat(d.Coordinates.split(", ")[0]), fill: "white", r: 30, opacity: 0.5 }) ), Plot.dot(rumors, { x: (d) => parseFloat(d.Coordinates.split(", ")[1]), y: (d) => parseFloat(d.Coordinates.split(", ")[0]), text: "Rumor", frameAnchor: "top-left", fill: "Oddity", symbol: "Category", r: 8, stroke: "white", strokeWidth: 1 }), Plot.dot( rumors, Plot.pointer({ px: (d) => parseFloat(d.Coordinates.split(", ")[1]), py: (d) => parseFloat(d.Coordinates.split(", ")[0]), dx: 215, dy: 215, r: 127, fill: "white", preserveAspectRatio: "xMidYMin slice" }) ), Plot.image( rumors, Plot.pointer({ px: (d) => parseFloat(d.Coordinates.split(", ")[1]), py: (d) => parseFloat(d.Coordinates.split(", ")[0]), dx: 215, dy: 215, src: "Image", width: 250, r: 125, preserveAspectRatio: "xMidYMin slice" }) ) ] })45:T4e5,

## Books for researching Yerevan During our interviews, participants shared the books and literary recommendations. Here is a collection of resources our tellers referred to:

Architecture sans architect — Andrey Ivanov

Jerewan, etudes on the spirit of the place — Andrey Ivanov

Yerevan, Biography of the city — Mark Grigorian

46:Ta05,Plot.plot({ margin: 50, width: 800, height: 500, axis: null, x: { domain: [1500, 2110] }, marks: [ Plot.lineY(bellCurve, { x: "x", y: "y", stroke: "black", curve: "basis" }), Plot.dot(tickValues, { x: "x", y: "y", fill: "black", stroke: "white", r: 2 }), Plot.density( rumors.filter((d) => d.Year > 25).filter((d) => d.Teller == teller), { x: "Year", y: (d) => xScale(d["Year"]), stroke: "#f85827", stroke: "color(display-p3 0.972549 0.345098 0.152941 / 1.000000)", thresholds: 5, opacity: 1 } ), Plot.text(tickValues, { x: "x", y: "y", text: "label", fill: "black", stroke: "white", dy: -12, fontSize: 14, textAnchor: "end" }), Plot.dot( rumors.filter((d) => d.Year > 25).filter((d) => d.Teller == teller), Plot.selectFirst({ x: (d) => new Date().getFullYear() - Number(d.Age.split("–")[0]) - 5, y: (d) => xScale(new Date().getFullYear() - Number(d.Age.split("–")[0]) - 5), r: 3, fill: "#f85827", fill: "color(display-p3 0.972549 0.345098 0.152941 / 1.000000)", stroke: "white", strokeWidth: 0.8, symbol: symbols.dob }) ), Plot.text( rumors.filter((d) => d.Year > 25).filter((d) => d.Teller == teller), Plot.selectFirst({ x: (d) => new Date().getFullYear() - Number(d.Age.split("–")[0]) - 5, y: (d) => xScale(new Date().getFullYear() - Number(d.Age.split("–")[0]) - 5), fill: "#f85827", fill: "color(display-p3 0.972549 0.345098 0.152941 / 1.000000)", stroke: "white", strokeWidth: 1, text: ["DOB"], dy: 22, fontSize: 12, fontWeight: "bold" }) ), beeswarm( rumors.filter((d) => d.Year > 25).filter((d) => d.Teller == teller), { x: "Year", y: (d) => xScale(d["Year"]), r: 5, gap: 0.5, fill: "#53c7cb", fill: "color(display-p3 0.325490 0.780392 0.796078 / 1.000000)", stroke: "white", strokeWidth: 0.8, sort: "Year" } ), Plot.text( rumors.filter((d) => d.Year > 25).filter((d) => d.Teller == teller), Plot.pointer({ px: "Year", py: (d) => xScale(d["Year"]), text: (d) => d.Year + " — " + d.Rumor, frameAnchor: "top-left", fill: "black", lineWidth: 24, fontSize: 20 }) ) ] })47:Taa9,(() => { const n = 2; // Number of facet columns const tellers = ["Victor", "Sona", "Mariam", "Mkrtich"]; const index = new Map(tellers.map((key, i) => [key, i])); const fx = (key) => index.get(key) % n; const fy = (key) => Math.floor(index.get(key) / n); return Plot.plot({ height: 250 * Math.ceil(tellers.length / n), // Adjust height dynamically width: 600, marginBottom: 80, x: { ticks: [1700, 1800, 1900, 2000], tickFormat: (d) => d.toFixed() }, fx: { label: null, padding: isMobile ? 0.1 : 0.05, axis: null }, fy: { label: null, padding: isMobile ? 0.1 : 0.05, axis: null }, // Added `fy` for row wrapping y: { axis: null, domain: [-1, 24] }, marks: [ Plot.frame({ stroke: "lightgrey", rx: 4 }), Plot.link( rumors.filter((d) => tellers.includes(d.Teller) && d.Year > 25), { x1: (d) => new Date().getFullYear() - +d.Age.split("–")[0] - 5, x2: "Year", y: (d, _, data) => data .filter((e) => e.Teller === d.Teller) .sort((a, b) => a.Year - b.Year) .findIndex((e) => e === d), fx: (d) => fx(d.Teller), fy: (d) => fy(d.Teller), // Assigning `fy` for row wrapping tip: true, title: (d) => `${d.Rumor} ${ new Date().getFullYear() - +d.Age.split("–")[0] - 5 } → ${d.Year}` } ), Plot.ruleX( rumors.filter((d) => tellers.includes(d.Teller) && d.Year > 25), Plot.selectFirst({ x: (d) => new Date().getFullYear() - +d.Age.split("–")[0] - 5, fx: (d) => fx(d.Teller), fy: (d) => fy(d.Teller), stroke: "#f85827", stroke: "color(display-p3 0.972549 0.345098 0.152941 / 1.000000)", strokeDasharray: [1, 2] }) ), Plot.textX( rumors.filter((d) => tellers.includes(d.Teller) && d.Year > 25), Plot.selectFirst({ x: (d) => new Date().getFullYear() - +d.Age.split("–")[0] - 5, text: (d) => `DOB ~${new Date().getFullYear() - +d.Age.split("–")[0] - 5}`, fx: (d) => fx(d.Teller), fy: (d) => fy(d.Teller), fill: "#f85827", fill: "color(display-p3 0.972549 0.345098 0.152941 / 1.000000)", fontWeight: "bold", textAnchor: "end", dy: -57, dx: -4 }) ), Plot.text(tellers, { fx, fy, frameAnchor: "top-left", dx: 8, dy: 8, fontSize: 16 }) // Adding facet labels ], style: { overflow: "visible" // Allows marks to be drawn outside the plot area } }); })()48:T555,Plot.plot({ margin: 35, marginBottom: 50, height: 400, width: 400, padding: 0.2, grid: true, x: { ticks: [5, 10], domain: [0, 10] }, y: { ticks: 2 }, r: { range: [0, 15] }, marks: [ Plot.frame({ stroke: "lightgrey" }), Plot.dot( rumors.filter((d) => d.Year > 25), Plot.group( { r: "sum" }, { x: "Faith", y: "Oddity", fill: "#f85827", fill: "color(display-p3 0.972549 0.345098 0.152941 / 1.000000)", r: 1, opacity: 0.9 } ) ), Plot.dot( rumors.filter((d) => d.Year > 25), Plot.pointer( Plot.group( {}, { x: "Faith", y: "Oddity", fill: "#f85827", opacity: isMobile ? 0 : 0.2, r: 20 } ) ) ), Plot.text( rumors.filter((d) => d.Year > 25).filter((d) => d.Teller == teller), Plot.pointer({ px: "Faith", py: "Oddity", text: (d) => d.Rumor, frameAnchor: "top-left", fill: "black", stroke: "white", strokeWidth: 3, lineWidth: 18, fontSize: 20, dx: 10, dy: 10, opacity: isMobile ? 0 : 1 }) ) ], style: { overflow: "visible" // Allows marks to be drawn outside the plot area } })49:T55d,(() => { const n = 3; const categories = Array.from(new Set(rumors.map((d) => d.Category))); const index = new Map(categories.map((key, i) => [key, i])); const fx = (key) => index.get(key) % n; const fy = (key) => Math.floor(index.get(key) / n); return Plot.plot({ title: "Oddity & Faith by category", height: 200 * Math.ceil(categories.length / n), margin: 40, grid: true, x: { ticks: [5, 10], domain: [0, 10] }, y: { ticks: 2 }, r: { range: [0, 10] }, fx: { label: null, padding: 0.03, axis: null, padding: 0.2 }, fy: { label: null, padding: 0.03, axis: null, padding: 0.2 }, color: { domain: categories }, marks: [ Plot.frame({ stroke: "lightgrey" }), Plot.dot( rumors.filter((d) => d.Year > 25), Plot.group( { r: "sum" }, { x: "Faith", y: "Oddity", fx: (d) => fx(d.Category), fy: (d) => fy(d.Category), fill: "#f85827", fill: "color(display-p3 0.972549 0.345098 0.152941 / 1.000000)", interpolate: "random-walk", tip: isMobile ? false : true, title: "Rumor", opacity: 0.9 } ) ), Plot.text(categories, { fx, fy, frameAnchor: "top-left", dx: 6, dy: 6 }) ], style: { overflow: "visible" } }); })()4a:T41a,Plot.plot({ title: "Age, Emotion and Faith", marginBottom: 40, width: 500, height: 600, grid: true, padding: 0, x: { ticks: 2, axis: null }, fx: { axis: "top", label: null }, fy: { label: null, axis: null }, marks: [ Plot.text( Array.from(d3.group(rumors, (d) => d.Emotion).keys()).map((emotion) => ({ Emotion: emotion, Age: d3.min(rumors, (d) => d.Age) })), { fx: "Age", fy: "Emotion", frameAnchor: "bottom-left", dx: 4, dy: -4, text: (d) => d.Emotion, textAnchor: "start", fontSize: 40, fontWeight: "bold", fill: "black", opacity: 0.2 } ), Plot.frame({ stroke: "lightgrey" }), beeswarm(rumors, { fx: "Age", fy: "Emotion", x: "Faith", r: 5, fill: "#f85827", fill: "color(display-p3 0.972549 0.345098 0.152941 / 1.000000)", gap: 0.4, tip: isMobile ? false : true, title: "Rumor" }) ], style: { overflow: "visible" } })4b:T416,

## Vishap from who knows where A vishap is an ancient mythological creature — a water dragon rooted in the legends of the Armenian Highlands and materialized as stone sculptures called vishapakars. Վիշապաքար (arm.) — Dragon stone. These vishapakars rose up to five metres high and were usually adorned with reliefs of a fish or the hide of a bull or ram. Nearly all of the stelae stood beside springs or irrigation works, so scientists link the figures carved on them to ancient fertility and water cults. There is a rumor about vishap in our research: > > ${rumors.filter((d) => d.Rumor.includes("Vishap"))[0].Rumor} The vishap was found at Tigran Mets Street, 2 next to the entrance of the Iranian restaurant Shahrzad. We decided to ask the staff about the stone’s origins, so we went there for dinner. They told us that the vishap had been placed at that spot during Soviet times. Unfortunately, we could not uncover any further details; additional inquiries and online searches yielded no results. 4c:T9ff,Plot.plot({ title: "Emotions of Yerevan", width: 600, height: 600, symbol: { legend: true, domain: Object.keys(symbols_emotions), range: Object.values(symbols_emotions) }, color: { range: ["#f15ea3", "white"] }, projection: { type: "mercator", rotate: [-44.505, -40.18, 0], inset: -2300000 }, marks: [ Plot.geo(geo.rewind(geo.simplify(yerevan_districts)).features, { fill: (d, i) => i, stroke: "white", strokeWidth: 0.7 }), Plot.geo(geo.rewind(geo.simplify(neighbourhoods)).features, { fill: "#f15ea3", stroke: "white", strokeWidth: 0.7 }), Plot.geo(geo.simplify(yerevan_roads).features, { stroke: "white", strokeWidth: 0.3 }), Plot.dot( rumors, Plot.pointer({ x: (d) => parseFloat(d.Coordinates.split(", ")[1]), y: (d) => parseFloat(d.Coordinates.split(", ")[0]), fill: "white", r: 20, opacity: 0.5 }) ), Plot.dot(rumors, { x: (d) => parseFloat(d.Coordinates.split(", ")[1]), y: (d) => parseFloat(d.Coordinates.split(", ")[0]), r: 5.5, fill: "white", stroke: "#f15ea3", stroke: "color(display-p3 0.945098 0.368627 0.639216 / 1.000000)", symbol: (d) => symbols_emotions[d.Emotion] }), Plot.text( geo.rewind(geo.simplify(yerevan_districts)).features.map((d) => ({ ...d, coordinates: geo.centroid(d) })), { x: (d) => d.coordinates.features[0].geometry.coordinates[0], y: (d) => d.coordinates.features[0].geometry.coordinates[1], text: (d) => d.properties["name:en"], fontSize: 12, lineWidth: 6, fill: "maroon" } ), Plot.text( geo.rewind(geo.simplify(neighbourhoods)).features.map((d) => ({ ...d, coordinates: geo.centroid(d) })), { x: (d) => d.coordinates.features[0].geometry.coordinates[0], y: (d) => d.coordinates.features[0].geometry.coordinates[1], text: (d) => d.properties["name:en"] || d.properties["name"], fontSize: 12, lineWidth: 6, fill: "maroon" } ), Plot.text( rumors, Plot.pointer({ px: (d) => parseFloat(d.Coordinates.split(", ")[1]), py: (d) => parseFloat(d.Coordinates.split(", ")[0]), text: "Rumor", frameAnchor: "top-left", fill: "white", stroke: "#f15ea3", dy: 10, dx: 10, lineWidth: 25, fontSize: 20 }) ) ] })4d:T802,Plot.plot({ title: "Emotions of Kond district", width: 600, height: 600, symbol: { legend: true }, style: { background: "#f15ea3", background: "color(display-p3 0.945098 0.368627 0.639216 / 1.000000)" }, projection: { type: "mercator", rotate: [-44.502, -40.182, 0], inset: -18000000, clip: false }, marks: [ Plot.geo(kond_roads.features, { stroke: "white", strokeWidth: 0.5 }), Plot.geo(geo.rewind(geo.simplify(kond_buildings)).features, { stroke: "white", opacity: 0.7 }), Plot.dot( rumors.filter( (d) => d.Emotion === "Awe" || d.Emotion === "Grudge" || d.Emotion === "Grief" || d.Emotion === "Nostalgia" ), Plot.pointer({ x: (d) => parseFloat(d.Coordinates.split(", ")[1]), y: (d) => parseFloat(d.Coordinates.split(", ")[0]), fill: "white", r: 40, opacity: 0.7 }) ), Plot.dot( rumors.filter( (d) => d.Emotion === "Awe" || d.Emotion === "Grudge" || d.Emotion === "Grief" || d.Emotion === "Nostalgia" ), { x: (d) => parseFloat(d.Coordinates.split(", ")[1]), y: (d) => parseFloat(d.Coordinates.split(", ")[0]), r: 9, fill: "white", stroke: "#f15ea3", stroke: "color(display-p3 0.945098 0.368627 0.639216 / 1.000000)", symbol: (d) => symbols_emotions[d.Emotion] } ), Plot.text( rumors.filter( (d) => d.Emotion === "Awe" || d.Emotion === "Grudge" || d.Emotion === "Grief" || d.Emotion === "Nostalgia" ), Plot.pointer({ px: (d) => parseFloat(d.Coordinates.split(", ")[1]), py: (d) => parseFloat(d.Coordinates.split(", ")[0]), text: "Rumor", frameAnchor: "top-left", fill: "white", stroke: "#f15ea3", dy: 10, dx: 10, lineWidth: 25, fontSize: 20 }) ) ] })4e:Tab2,Plot.plot({ marginLeft: 60, height: 800, width: 400, x: { axis: null }, y: { tickFormat: (d, i, values) => (i == values.length - 1 ? `${d} m` : d) }, r: { range: isMobile ? [1, 16] : [1, 20] }, color: { range: ["#53c7cb", "#f85827"], interpolate: d3.interpolateRgb.gamma(2) }, marks: [ Plot.ruleX([0, 400], { opacity: 0 }), Plot.dot( rumors, Plot.dodgeX("left", { y: (d) => d.Depth, r: (d) => Math.pow(d.Radius, 2), fill: "#f15ea3", fill: "color(display-p3 0.945098 0.368627 0.639216 / 1.000000)" }) ), Plot.dot( rumors, Plot.pointer( Plot.dodgeX("left", { y: (d) => d.Depth, x: 0, r: (d) => Math.pow(d.Radius, 2), fill: "white", opacity: 0.7 }) ) ), Plot.ruleY([996], { stroke: "white" }), Plot.text(["Republic square, 996m"], { y: 996, fill: "white", stroke: "#f15ea3", stroke: "color(display-p3 0.945098 0.368627 0.639216 / 1.000000)", dy: -8, strokeWidth: 3, frameAnchor: "left", fontSize: isMobile ? 12 : 16, fontStyle: "italic" }), Plot.dot([...new Set(rumors.map((d) => d.Radius).sort((a, b) => a - b))], { x: isMobile ? 300 : 380, y: (d, i) => (isMobile ? 1250 - i * 36 : 1250 - i * 30), r: (d) => Math.pow(d, 2), stroke: "#f15ea3", stroke: "color(display-p3 0.945098 0.368627 0.639216 / 1.000000)", strokeWidth: 1 }), Plot.text(new Set(rumors.map((d) => d.Radius).sort((a, b) => a - b)), { x: isMobile ? 300 : 390, y: (d, i) => (isMobile ? 1250 - i * 36 : 1250 - i * 30), text: (d) => ({ 1: "House", 2: "District", 5: "City", 10: "Country" }[d] || d), dx: 20, textAnchor: "start", fill: "#777" }), Plot.text( rumors, Plot.initializer( Plot.pointer( Plot.dodgeX("left", { y: (d, i) => d.Depth, r: (d) => Math.pow(d.Radius, 2), frameAnchor: "top-right", lineWidth: 15, fill: "#f15ea3", fill: "color(display-p3 0.945098 0.368627 0.639216 / 1.000000)", stroke: "white", text: (d) => `${d.Depth} m — ${d["Rumor"]}` }) ), (data, facets, channels) => ({ data, facets, channels: { ...channels, px: channels.x, x: {value: Array(data.length).fill(400)}, py: channels.y, y: {value: channels.y.value.map(d => d < 100 ? 20 : d > 700 ? 750 : 310)} } }) ) ) ], style: { overflow: "visible" } })4f:T904,## 10 ${icons.green_zone} Green zone shrinkage _The Dalma Gardens_ have grown rich with stories over time. In ancient days, they covered a vast area in the western part of the city. But as history unfolded, their territory gradually shrank. According to recent rumors, a large entertainment complex is now planned for what remains of the gardens. Thanks to the Dalma Gardens, we identified another dimension of rumors — a radius, measurable both in years and in hectares. We compiled a brief timeline of the Dalma Gardens’ history using various online sources and plotted the available data on their size onto a chart: - 685–645 BCE — According to a cuneiform inscription, the gardens were founded during the reign of Rusa II, ruler of Urartu (the Kingdom of Van). At that time they covered a vast area. - 1815 — Hossein Qoli Khan, the last Persian sardar of Erivan, repaired the Dalma canal and integrated it into the broader irrigation system. New orchards were planted. - 19th century — Main phase of the gardens’ development. The territory spanned roughly 790 ha. - 1931 — In Soviet times, a collective farm was established on the grounds. Area: 790 ha. - 1990s — Part of the gardens was transferred to private ownership, residential buildings appeared. - Up to 2004 — A tract of about 600 ha was included in Yerevan’s register of protected historic and cultural sites. Of this, 533 ha were actual gardens. - 2004 — The government decided to sell most of the territory ≈ 530 ha to developers, leaving tenants 256 ha. Later, by government decree, 150 ha of the Dalma Gardens were declared an area of overriding public interest. Active construction began thereafter. - 2020 — The developer was prohibited from building an amusement complex on the Dalma Gardens’ grounds. - 2023–2024 — Yerevan City Hall announced plans to create a new forest-park on ≈ 200 ha of the remaining land. 50:T491,## 11 The Ruler All of this data has shaped the ruler for measuring the cities based off the rumors. The routine is simple: 1. find your tellers, ask them what extraordinary things they have heard of the city, what parts of the city scare them, what unbelievable fables their friends told them 2. start with **Quoted Rumors**: trace out the dialogue shape, write down what tellers have told, note their name, age, assess their faith and emotion. Mark the size of the rumor, how odd it seems to you and where you recorded it. 3. After collecting an initial round of rumors, mark their distribution in **Rumor Sources** or analyze if you've got all the ages covered. 4. The analysis begins! Mark all the collected rumors by **Depth/Height**, put them on **Time Hill**, lay them out on **Oddity/Faith matrix**. 5. Get a map of the city, mark the **Emotions** on it to see how they cluster. 6. Find a park or a forest and see how its shape changed over time with **Green Zone Radii** 7. Share your findings with us on Instagram: [Namor](https://instagram.com/namor_votilav), [Anna](https://instagram.com/annprilutckaia) _scroll to view photos_51:T2f96,icons = ({ sources: '', time_hill: '', oddity: '', verifiability: '', emotions: '', depth: '', green_zone: '' })52:T738,symbols = ({ event: { draw(context, size) { const scale = size / 80; const centerX = 24; const centerY = 24; context.moveTo((24 - centerX) * scale, (0 - centerY) * scale); context.lineTo((27.462 - centerX) * scale, (20.538 - centerY) * scale); context.lineTo((48 - centerX) * scale, (24 - centerY) * scale); context.lineTo((27.462 - centerX) * scale, (27.462 - centerY) * scale); context.lineTo((24 - centerX) * scale, (48 - centerY) * scale); context.lineTo((20.538 - centerX) * scale, (27.462 - centerY) * scale); context.lineTo((0 - centerX) * scale, (24 - centerY) * scale); context.lineTo((20.538 - centerX) * scale, (20.538 - centerY) * scale); context.lineTo((24 - centerX) * scale, (0 - centerY) * scale); context.closePath(); } }, dob: { draw(context, size) { const scale = size / 45.8254; const centerX = 23; const centerY = 21.7082; context.moveTo((23 - centerX) * scale, (0 - centerY) * scale); context.lineTo((30.0534 - centerX) * scale, (14.2918 - centerY) * scale); context.lineTo((45.8254 - centerX) * scale, (16.5836 - centerY) * scale); context.lineTo((34.4127 - centerX) * scale, (27.7082 - centerY) * scale); context.lineTo((37.1068 - centerX) * scale, (43.4164 - centerY) * scale); context.lineTo((23 - centerX) * scale, (36 - centerY) * scale); context.lineTo((8.89315 - centerX) * scale, (43.4164 - centerY) * scale); context.lineTo((11.5873 - centerX) * scale, (27.7082 - centerY) * scale); context.lineTo((0.174644 - centerX) * scale, (16.5836 - centerY) * scale); context.lineTo((15.9466 - centerX) * scale, (14.2918 - centerY) * scale); context.lineTo((23 - centerX) * scale, (0 - centerY) * scale); context.closePath(); } } })53:T465e,symbols_emotions = ({ Awe: { draw(context, size) { const scale = size / 4000; const centerX = 600; const centerY = -600; context.moveTo((45.4533 - centerX) * scale, (679.813 + centerY) * scale); context.bezierCurveTo( (209.783 - centerX) * scale, (402.042 + centerY) * scale, (474.656 - centerX) * scale, (177.205 + centerY) * scale, (837.151 - centerX) * scale, (0.578125 + centerY) * scale ); context.lineTo((902.855 - centerX) * scale, (135.423 + centerY) * scale); context.bezierCurveTo( (594.562 - centerX) * scale, (285.639 + centerY) * scale, (370.345 - centerX) * scale, (467.905 + centerY) * scale, (222.308 - centerX) * scale, (681.699 + centerY) * scale ); context.lineTo((945.003 - centerX) * scale, (966.974 + centerY) * scale); context.lineTo((945.003 - centerX) * scale, (1218 + centerY) * scale); context.lineTo((795.003 - centerX) * scale, (1218 + centerY) * scale); context.lineTo((795.003 - centerX) * scale, (1069.03 + centerY) * scale); context.lineTo((0.6875 - centerX) * scale, (755.481 + centerY) * scale); context.lineTo((45.4533 - centerX) * scale, (679.813 + centerY) * scale); context.lineTo((45.4533 - centerX) * scale, (679.813 + centerY) * scale); context.closePath(); } }, Fear: { draw(context, size) { const scale = size / 4000; const centerX = 300; const centerY = -500; context.moveTo((150 - centerX) * scale, (0 + centerY) * scale); context.lineTo((150 - centerX) * scale, (700 + centerY) * scale); context.bezierCurveTo( (150 - centerX) * scale, (784.579 + centerY) * scale, (215.421 - centerX) * scale, (850 + centerY) * scale, (300 - centerX) * scale, (850 + centerY) * scale ); context.bezierCurveTo( (384.579 - centerX) * scale, (850 + centerY) * scale, (450 - centerX) * scale, (784.579 + centerY) * scale, (450 - centerX) * scale, (700 + centerY) * scale ); context.lineTo((450 - centerX) * scale, (0 + centerY) * scale); context.lineTo((600 - centerX) * scale, (0 + centerY) * scale); context.lineTo((600 - centerX) * scale, (700 + centerY) * scale); context.bezierCurveTo( (600 - centerX) * scale, (867.421 + centerY) * scale, (467.421 - centerX) * scale, (1000 + centerY) * scale, (300 - centerX) * scale, (1000 + centerY) * scale ); context.bezierCurveTo( (132.579 - centerX) * scale, (1000 + centerY) * scale, (0 - centerX) * scale, (867.421 + centerY) * scale, (0 - centerX) * scale, (700 + centerY) * scale ); context.lineTo((0 - centerX) * scale, (0 + centerY) * scale); context.lineTo((150 - centerX) * scale, (0 + centerY) * scale); context.lineTo((150 - centerX) * scale, (0 + centerY) * scale); context.closePath(); } }, Grief: { draw(context, size) { const scale = size / 4000; const centerX = 375; const centerY = -500; context.moveTo((450 - centerX) * scale, (0 + centerY) * scale); context.lineTo((600 - centerX) * scale, (0 + centerY) * scale); context.lineTo((600 - centerX) * scale, (850 + centerY) * scale); context.lineTo((750 - centerX) * scale, (850 + centerY) * scale); context.lineTo((750 - centerX) * scale, (1000 + centerY) * scale); context.lineTo((450 - centerX) * scale, (1000 + centerY) * scale); context.lineTo((450 - centerX) * scale, (760.686 + centerY) * scale); context.bezierCurveTo( (406.043 - centerX) * scale, (785.747 + centerY) * scale, (354.894 - centerX) * scale, (800 + centerY) * scale, (300 - centerX) * scale, (800 + centerY) * scale ); context.bezierCurveTo( (132.579 - centerX) * scale, (800 + centerY) * scale, (0 - centerX) * scale, (667.421 + centerY) * scale, (0 - centerX) * scale, (500 + centerY) * scale ); context.lineTo((0 - centerX) * scale, (200 + centerY) * scale); context.lineTo((150 - centerX) * scale, (200 + centerY) * scale); context.lineTo((150 - centerX) * scale, (500 + centerY) * scale); context.bezierCurveTo( (150 - centerX) * scale, (584.579 + centerY) * scale, (215.421 - centerX) * scale, (650 + centerY) * scale, (300 - centerX) * scale, (650 + centerY) * scale ); context.bezierCurveTo( (384.579 - centerX) * scale, (650 + centerY) * scale, (450 - centerX) * scale, (584.579 + centerY) * scale, (450 - centerX) * scale, (500 + centerY) * scale ); context.lineTo((450 - centerX) * scale, (0 + centerY) * scale); context.lineTo((450 - centerX) * scale, (0 + centerY) * scale); context.closePath(); } }, Grudge: { draw(context, size) { const scale = size / 4000; const centerX = 375; const centerY = -500; context.moveTo((150 - centerX) * scale, (300 + centerY) * scale); context.bezierCurveTo( (150 - centerX) * scale, (215.421 + centerY) * scale, (215.421 - centerX) * scale, (150 + centerY) * scale, (300 - centerX) * scale, (150 + centerY) * scale ); context.bezierCurveTo( (384.579 - centerX) * scale, (150 + centerY) * scale, (450 - centerX) * scale, (215.421 + centerY) * scale, (450 - centerX) * scale, (300 + centerY) * scale ); context.lineTo((450 - centerX) * scale, (1000 + centerY) * scale); context.lineTo((600 - centerX) * scale, (1000 + centerY) * scale); context.lineTo((600 - centerX) * scale, (675 + centerY) * scale); context.lineTo((750 - centerX) * scale, (675 + centerY) * scale); context.lineTo((750 - centerX) * scale, (525 + centerY) * scale); context.lineTo((600 - centerX) * scale, (525 + centerY) * scale); context.lineTo((600 - centerX) * scale, (300 + centerY) * scale); context.bezierCurveTo( (600 - centerX) * scale, (132.579 + centerY) * scale, (467.421 - centerX) * scale, (0 + centerY) * scale, (300 - centerX) * scale, (0 + centerY) * scale ); context.bezierCurveTo( (132.579 - centerX) * scale, (0 + centerY) * scale, (0 - centerX) * scale, (132.579 + centerY) * scale, (0 - centerX) * scale, (300 + centerY) * scale ); context.lineTo((0 - centerX) * scale, (600 + centerY) * scale); context.lineTo((150 - centerX) * scale, (600 + centerY) * scale); context.lineTo((150 - centerX) * scale, (300 + centerY) * scale); context.lineTo((150 - centerX) * scale, (300 + centerY) * scale); context.closePath(); } }, Humor: { draw(context, size) { const scale = size / 4000; const centerX = 300; const centerY = -500; context.moveTo((150 - centerX) * scale, (125 + centerY) * scale); context.lineTo((150 - centerX) * scale, (0 + centerY) * scale); context.lineTo((0 - centerX) * scale, (0 + centerY) * scale); context.lineTo((0 - centerX) * scale, (700 + centerY) * scale); context.bezierCurveTo( (0 - centerX) * scale, (867.421 + centerY) * scale, (132.579 - centerX) * scale, (1000 + centerY) * scale, (300 - centerX) * scale, (1000 + centerY) * scale ); context.bezierCurveTo( (467.421 - centerX) * scale, (1000 + centerY) * scale, (600 - centerX) * scale, (867.421 + centerY) * scale, (600 - centerX) * scale, (700 + centerY) * scale ); context.lineTo((600 - centerX) * scale, (600 + centerY) * scale); context.lineTo((450 - centerX) * scale, (600 + centerY) * scale); context.lineTo((450 - centerX) * scale, (700 + centerY) * scale); context.bezierCurveTo( (450 - centerX) * scale, (784.579 + centerY) * scale, (384.579 - centerX) * scale, (850 + centerY) * scale, (300 - centerX) * scale, (850 + centerY) * scale ); context.bezierCurveTo( (215.421 - centerX) * scale, (850 + centerY) * scale, (150 - centerX) * scale, (784.579 + centerY) * scale, (150 - centerX) * scale, (700 + centerY) * scale ); context.lineTo((150 - centerX) * scale, (275 + centerY) * scale); context.lineTo((600 - centerX) * scale, (275 + centerY) * scale); context.lineTo((600 - centerX) * scale, (125 + centerY) * scale); context.lineTo((150 - centerX) * scale, (125 + centerY) * scale); context.lineTo((150 - centerX) * scale, (125 + centerY) * scale); context.closePath(); } }, Nostalgia: { draw(context, size) { const scale = size / 4000; const centerX = 375; const centerY = -500; context.moveTo((0.00000655671 - centerX) * scale, (0 + centerY) * scale); context.lineTo((0 - centerX) * scale, (150 + centerY) * scale); context.lineTo((150 - centerX) * scale, (150 + centerY) * scale); context.lineTo((150 - centerX) * scale, (700 + centerY) * scale); context.bezierCurveTo( (150 - centerX) * scale, (867.421 + centerY) * scale, (282.579 - centerX) * scale, (1000 + centerY) * scale, (450 - centerX) * scale, (1000 + centerY) * scale ); context.bezierCurveTo( (617.421 - centerX) * scale, (1000 + centerY) * scale, (750 - centerX) * scale, (867.421 + centerY) * scale, (750 - centerX) * scale, (700 + centerY) * scale ); context.lineTo((750 - centerX) * scale, (400 + centerY) * scale); context.lineTo((600 - centerX) * scale, (400 + centerY) * scale); context.lineTo((600 - centerX) * scale, (700 + centerY) * scale); context.bezierCurveTo( (600 - centerX) * scale, (784.579 + centerY) * scale, (534.579 - centerX) * scale, (850 + centerY) * scale, (450 - centerX) * scale, (850 + centerY) * scale ); context.bezierCurveTo( (365.421 - centerX) * scale, (850 + centerY) * scale, (300 - centerX) * scale, (784.579 + centerY) * scale, (300 - centerX) * scale, (700 + centerY) * scale ); context.lineTo((300 - centerX) * scale, (0.0000131134 + centerY) * scale); context.lineTo((0.00000655671 - centerX) * scale, (0 + centerY) * scale); context.lineTo((0.00000655671 - centerX) * scale, (0 + centerY) * scale); context.closePath(); } }, Stubbornness: { draw(context, size) { const scale = size / 4000; const centerX = 300; const centerY = -500; context.moveTo((300 - centerX) * scale, (150 + centerY) * scale); context.bezierCurveTo( (219.682 - centerX) * scale, (150 + centerY) * scale, (170 - centerX) * scale, (204.759 + centerY) * scale, (170 - centerX) * scale, (260 + centerY) * scale ); context.bezierCurveTo( (170 - centerX) * scale, (318.296 + centerY) * scale, (188.216 - centerX) * scale, (342.548 + centerY) * scale, (208.281 - centerX) * scale, (358.179 + centerY) * scale ); context.bezierCurveTo( (235.098 - centerX) * scale, (379.072 + centerY) * scale, (273.715 - centerX) * scale, (391.347 + centerY) * scale, (330.936 - centerX) * scale, (407.981 + centerY) * scale ); context.bezierCurveTo( (332.772 - centerX) * scale, (408.515 + centerY) * scale, (334.633 - centerX) * scale, (409.055 + centerY) * scale, (336.518 - centerX) * scale, (409.601 + centerY) * scale ); context.bezierCurveTo( (386.226 - centerX) * scale, (424.014 + centerY) * scale, (452.063 - centerX) * scale, (443.103 + centerY) * scale, (503.906 - centerX) * scale, (483.492 + centerY) * scale ); context.bezierCurveTo( (564.466 - centerX) * scale, (530.673 + centerY) * scale, (600 - centerX) * scale, (600.796 + centerY) * scale, (600 - centerX) * scale, (700 + centerY) * scale ); context.bezierCurveTo( (600 - centerX) * scale, (867.421 + centerY) * scale, (467.421 - centerX) * scale, (1000 + centerY) * scale, (300 - centerX) * scale, (1000 + centerY) * scale ); context.bezierCurveTo( (132.579 - centerX) * scale, (1000 + centerY) * scale, (0 - centerX) * scale, (867.421 + centerY) * scale, (0 - centerX) * scale, (700 + centerY) * scale ); context.lineTo((150 - centerX) * scale, (700 + centerY) * scale); context.bezierCurveTo( (150 - centerX) * scale, (784.579 + centerY) * scale, (215.421 - centerX) * scale, (850 + centerY) * scale, (300 - centerX) * scale, (850 + centerY) * scale ); context.bezierCurveTo( (384.579 - centerX) * scale, (850 + centerY) * scale, (450 - centerX) * scale, (784.579 + centerY) * scale, (450 - centerX) * scale, (700 + centerY) * scale ); context.bezierCurveTo( (450 - centerX) * scale, (641.704 + centerY) * scale, (431.784 - centerX) * scale, (617.452 + centerY) * scale, (411.719 - centerX) * scale, (601.821 + centerY) * scale ); context.bezierCurveTo( (384.902 - centerX) * scale, (580.928 + centerY) * scale, (346.285 - centerX) * scale, (568.653 + centerY) * scale, (289.064 - centerX) * scale, (552.019 + centerY) * scale ); context.bezierCurveTo( (287.228 - centerX) * scale, (551.485 + centerY) * scale, (285.367 - centerX) * scale, (550.945 + centerY) * scale, (283.482 - centerX) * scale, (550.399 + centerY) * scale ); context.bezierCurveTo( (233.774 - centerX) * scale, (535.986 + centerY) * scale, (167.937 - centerX) * scale, (516.897 + centerY) * scale, (116.094 - centerX) * scale, (476.508 + centerY) * scale ); context.bezierCurveTo( (55.5339 - centerX) * scale, (429.327 + centerY) * scale, (20 - centerX) * scale, (359.204 + centerY) * scale, (20 - centerX) * scale, (260 + centerY) * scale ); context.bezierCurveTo( (20 - centerX) * scale, (107.241 + centerY) * scale, (152.318 - centerX) * scale, (0 + centerY) * scale, (300 - centerX) * scale, (0 + centerY) * scale ); context.bezierCurveTo( (448.932 - centerX) * scale, (0 + centerY) * scale, (580 - centerX) * scale, (107.466 + centerY) * scale, (580 - centerX) * scale, (260 + centerY) * scale ); context.lineTo((430 - centerX) * scale, (260 + centerY) * scale); context.bezierCurveTo( (430 - centerX) * scale, (204.534 + centerY) * scale, (381.068 - centerX) * scale, (150 + centerY) * scale, (300 - centerX) * scale, (150 + centerY) * scale ); context.lineTo((300 - centerX) * scale, (150 + centerY) * scale); context.closePath(); } }, Suspicion: { draw(context, size) { const scale = size / 4000; const centerX = 300; const centerY = -500; context.moveTo((150 - centerX) * scale, (500 + centerY) * scale); context.lineTo((150 - centerX) * scale, (0 + centerY) * scale); context.lineTo((0 - centerX) * scale, (0 + centerY) * scale); context.lineTo((0 - centerX) * scale, (500 + centerY) * scale); context.bezierCurveTo( (0 - centerX) * scale, (667.421 + centerY) * scale, (132.579 - centerX) * scale, (800 + centerY) * scale, (300 - centerX) * scale, (800 + centerY) * scale ); context.bezierCurveTo( (354.894 - centerX) * scale, (800 + centerY) * scale, (406.043 - centerX) * scale, (785.747 + centerY) * scale, (450 - centerX) * scale, (760.686 + centerY) * scale ); context.lineTo((450 - centerX) * scale, (1000 + centerY) * scale); context.lineTo((600 - centerX) * scale, (1000 + centerY) * scale); context.lineTo((600 - centerX) * scale, (500 + centerY) * scale); context.lineTo((600 - centerX) * scale, (450 + centerY) * scale); context.lineTo((600 - centerX) * scale, (200 + centerY) * scale); context.lineTo((450 - centerX) * scale, (200 + centerY) * scale); context.lineTo((450 - centerX) * scale, (450 + centerY) * scale); context.lineTo((450 - centerX) * scale, (500 + centerY) * scale); context.bezierCurveTo( (450 - centerX) * scale, (584.579 + centerY) * scale, (384.579 - centerX) * scale, (650 + centerY) * scale, (300 - centerX) * scale, (650 + centerY) * scale ); context.bezierCurveTo( (215.421 - centerX) * scale, (650 + centerY) * scale, (150 - centerX) * scale, (584.579 + centerY) * scale, (150 - centerX) * scale, (500 + centerY) * scale ); context.lineTo((150 - centerX) * scale, (500 + centerY) * scale); context.closePath(); } } })54:T12c0,function svgPathToCanvasDraw(pathData, size = 1) { const commands = []; const regex = /([MmLlHhVvCcSsQqTtAaZz])([^MmLlHhVvCcSsQqTtAaZz]*)/g; let match; let currentX = 0; let currentY = 0; let startX = 0; let startY = 0; let maxX = -Infinity; let maxY = -Infinity; let minX = Infinity; let minY = Infinity; while ((match = regex.exec(pathData))) { const command = match[1]; const values = match[2].trim().split(/[ ,]+/); const nums = values.map(parseFloat); switch (command) { case 'M': currentX = nums[0]; currentY = nums[1]; startX = currentX; startY = currentY; commands.push(`context.moveTo((${currentX} - centerX) * scale, (${currentY} + centerY) * scale);`); // No Y-flip break; case 'm': currentX += nums[0]; currentY += nums[1]; startX = currentX; startY = currentY; commands.push(`context.moveTo((${currentX} - centerX) * scale, (${currentY} + centerY) * scale);`); // No Y-flip break; case 'L': currentX = nums[0]; currentY = nums[1]; commands.push(`context.lineTo((${currentX} - centerX) * scale, (${currentY} + centerY) * scale);`); // No Y-flip break; case 'l': currentX += nums[0]; currentY += nums[1]; commands.push(`context.lineTo((${currentX} - centerX) * scale, (${currentY} + centerY) * scale);`); // No Y-flip break; case 'H': currentX = nums[0]; commands.push(`context.lineTo((${currentX} - centerX) * scale, (${currentY} + centerY) * scale);`); // No Y-flip break; case 'h': currentX += nums[0]; commands.push(`context.lineTo((${currentX} - centerX) * scale, (${currentY} + centerY) * scale);`); // No Y-flip break; case 'V': currentY = nums[0]; commands.push(`context.lineTo((${currentX} - centerX) * scale, (${currentY} + centerY) * scale);`); // No Y-flip break; case 'v': currentY += nums[0]; commands.push(`context.lineTo((${currentX} - centerX) * scale, (${currentY} + centerY) * scale);`); // No Y-flip break; case 'C': commands.push(`context.bezierCurveTo((${nums[0]} - centerX) * scale, (${nums[1]} + centerY) * scale, (${nums[2]} - centerX) * scale, (${nums[3]} + centerY) * scale, (${nums[4]} - centerX) * scale, (${nums[5]} + centerY) * scale);`); // No Y-flip currentX = nums[4]; currentY = nums[5]; break; case 'c': commands.push(`context.bezierCurveTo((${currentX + nums[0]} - centerX) * scale, (${currentY + nums[1]} + centerY) * scale, (${currentX + nums[2]} - centerX) * scale, (${currentY + nums[3]} + centerY) * scale, (${currentX + nums[4]} - centerX) * scale, (${currentY + nums[5]} + centerY) * scale);`); // No Y-flip currentX += nums[4]; currentY += nums[5]; break; case 'Q': commands.push(`context.quadraticCurveTo((${nums[0]} - centerX) * scale, (${nums[1]} + centerY) * scale, (${nums[2]} - centerX) * scale, (${nums[3]} + centerY) * scale);`); // No Y-flip currentX = nums[2]; currentY = nums[3]; break; case 'q': commands.push(`context.quadraticCurveTo((${currentX + nums[0]} - centerX) * scale, (${currentY + nums[1]} + centerY) * scale, (${currentX + nums[2]} - centerX) * scale, (${currentY + nums[3]} + centerY) * scale);`); // No Y-flip currentX += nums[2]; currentY = nums[3]; break; case 'A': commands.push(`// Arc approximation: A ${nums.join(' ')} (Needs more accurate conversion)`); currentX += nums[5]; currentY += nums[6]; break; case 'a': commands.push(`// Relative arc approximation: a ${nums.join(' ')} (Needs more accurate conversion)`); currentX += nums[5]; currentY += nums[6]; break; case 'Z': case 'z': commands.push(`context.lineTo((${startX} - centerX) * scale, (${startY} + centerY) * scale);`); // No Y-flip break; default: console.warn(`Unsupported SVG path command: ${command}`); } maxX = Math.max(maxX, currentX); maxY = Math.max(maxY, currentY); // No Y-flip minX = Math.min(minX, currentX); minY = Math.min(minY, currentY); // No Y-flip } const width = maxX - minX; const height = maxY - minY; const scaleValue = size / Math.max(width, height); const centerX = (maxX + minX) / 2; const centerY = (maxY + minY) / 2; const functionBody = ` draw(context, size) { const scale = size / ${Math.max(width, height)}; const centerX = ${centerX}; const centerY = ${centerY}; ${commands.join('\n ')} context.closePath(); }`; return functionBody; 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Votilav","avatar_url":"https://avatars-next.observableusercontent.com/05d1d1c860286969ce328c967f9fa740a9e94ca04c592b036825a65d5a3b25d6","tier":null,"bio":"Media artist and curator, data enthusiast and UX/UI designer"},{"type":"individual","id":"3927334d08ac57fd","login":"anna-prilutckaia","name":"Anna Prilutckaia","avatar_url":"https://avatars-next.observableusercontent.com/bbdde35dd02a3f40d5abf6dfa90f66129e5627b6d33efb3549f021ab8ce55ca0","tier":null,"bio":""}],"members":[{"type":"team","id":"39f88c27fa1015fa","login":"namor","name":"Namor Votilav","avatar_url":"https://avatars-next.observableusercontent.com/05d1d1c860286969ce328c967f9fa740a9e94ca04c592b036825a65d5a3b25d6","tier":"starter_2024","role":"editor"},{"type":"individual","id":"b295421362d1eb56","login":"namor","name":"Namor Votilav","avatar_url":"https://avatars-next.observableusercontent.com/05d1d1c860286969ce328c967f9fa740a9e94ca04c592b036825a65d5a3b25d6","tier":null,"role":"editor"}],"comments":[{"id":"9e3cf640750493c0","reply_to_id":null,"content":"хоть что-то показать","create_time":"$D2025-04-11T17:44:53.070Z","update_time":null,"resolved":false,"user":{"type":"individual","id":"b295421362d1eb56","login":"namor","name":"Namor Votilav","avatar_url":"https://avatars-next.observableusercontent.com/05d1d1c860286969ce328c967f9fa740a9e94ca04c592b036825a65d5a3b25d6","tier":null}},{"id":"ad2478c2a369b2a5","reply_to_id":null,"content":"Add text on the background instead of the tip","create_time":"$D2025-04-28T17:28:01.463Z","update_time":null,"resolved":false,"user":{"type":"individual","id":"b295421362d1eb56","login":"namor","name":"Namor Votilav","avatar_url":"https://avatars-next.observableusercontent.com/05d1d1c860286969ce328c967f9fa740a9e94ca04c592b036825a65d5a3b25d6","tier":null}}],"custom_thumbnail":true,"trashed":false,"lapsed":null,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Rumor ruler for measuring cities","cells":[{"id":6350,"value":"# Rumor ruler for measuring cities\n\nThis research was conducted for the Armenian Pavilion at the\n[Triennale Milano](https://triennale.org/en).\n\nArt & research team:\n\n

\n \n

\n \n

\n \n

\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":6355,"value":"isMobile\n ? FileAttachment(\"ruler_render_4 3.png\").image({ width: 600 })\n : FileAttachment(\"rumor ruler.png\").image({ width: 700 })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":0,"value":"$43","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":5533,"value":"## 2 — Yerevan and the shape of data\n\nThis is a map of Yerevan — the capital of Armenia. In our research we collected\nurban rumors, categorized them, and assigned both objective and highly\nsubjective parameters to each. One of the subjective parameters —\nOddity\n— was rated on a scale from 0 to 10. This is how odd Yerevan is according to\nthe rumors told about it:\n\n_point or click on the dots to see the rumor_","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":7244,"value":"Not\nodd ${Legend(d3.scaleSequential([0, 10], [\"#53c7cb\", \"#f85827\"]), { ticks:0,\nwidth: 150, })} Very odd\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1053,"value":"$44","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":5538,"value":"## 3 ${icons.sources} Sources and rumor collection","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":6524,"value":"As part of our research, we conducted 11 interviews — informal meetings in cafes, home visits, or conversations in hair salons.\nAdditionally, we posted a question on Instagram: _'What rumors do you know about Yerevan?'_\nAll responses were documented in an excel sheet and incorporated into the study.\nOnce again Excel™ served a backbone of a research project. It is reliable but not the most hands-on. One more reason to have a dedicated tool for this task.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":487,"value":"Plot.plot({\n width: 800,\n height: 180,\n marginTop: 20,\n x: {\n // domain: [0, 1, 2, 3, 4, 5, 6, 7, 8, 9, 10],\n label: null,\n tickSize: 0,\n tickPadding: 4\n },\n y: { axis: null },\n marks: [\n Plot.waffleY(\n rumors,\n Plot.group(\n { y: \"count\" },\n {\n x: \"Source\",\n y: \"\",\n rx: 2,\n fill: \"#f85827\",\n fill: \"color(display-p3 0.972549 0.345098 0.152941 / 1.000000)\"\n }\n )\n )\n ],\n style: {\n overflow: \"visible\" // Allows marks to be drawn outside the plot area\n }\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":5542,"value":"$45","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":5579,"value":"## 4 — Teller representation by age\n\nIn our research we anonymized the actual age of tellers by binning them into the\nage groups. We do regret not talking to more of the\n40—50 year-olds during our research and we wonder how the patterns would have\nchanged if we had more of a normal distribution by age.\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3045,"value":"Plot.plot({\n marginBottom: 60,\n x: { tickSize: 0, tickPadding: 6 },\n y: { grid: true, tickSize: 0, tickPadding: 5 },\n marks: [\n Plot.barY(\n rumors,\n Plot.binY({ y: \"count\" }, { x: \"Age\", rx: 4, fill: \"#f85827\" })\n )\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3686,"value":"## 5 ${icons.time_hill} Time hill of nostalgics & future gazers\n\nEach rumor in some way or another refers to a certain point in Yerevan history.\nTellers look over from the hill of today, either peering into the past or gazing\ninto the future. The length and span of their gaze is of much interest.\n\n_point or click on the dots to see the rumor_\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":4896,"value":"viewof teller = Inputs.select(\n [...new Set(rumors.map((d) => d.Teller).sort((a, b) => a.localeCompare(b)))].filter(d=>d!=\"Kirill\"),\n {\n label: \"Pick a teller\",\n value: \"Sona\"\n }\n)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3684,"value":"$46","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":5608,"value":"Tellers' character and interests show through the years of rumors they tell\nabout. _Victor_, as a tour guide, tends to collect the historic occurences,\n_Sona_ is an urban explorer and her stories are of both past and present,\n_Mariam_, a child of 90s and an artist told a lot about her time growing up and\nhow the city has changed in the current generation, _Mkrtich_, born in the 50s\ntold us stories of his youth.\n\nIn this chart the lines mark the difference of teller's\ndate\nof birth and the year of the rumored event.\n\n_point or click on the strokes to see the rumor_\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3052,"value":"$47","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":5837,"value":"

\n## The Eriwan fortress and what the city was like before\nOur collection of rumors includes several stories about the Yerevan Fortress: \n${rumors .filter((d) => d.Rumor.includes(\"Fortress\")).map((d) => `- ${d.Rumor}`).join(\"\\n\")}\n\nWe have located it on old maps and city plans:\n\n

\n## The Church of Meteorite\nOne of the Rumors says: \n>>${rumors.filter((d) => d.Rumor.includes(\"Meteorite\"))[0].Rumor}\n\nAlong with the rumor, we were given a location on the map where the church is\nsituated. Ann managed to visit the site and photograph the alleged meteorite.\n\n

\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":5927,"value":"## 7 ${icons.verifiability} Verifiability Sinusoid\n\nSome of the rumors in our collection are easy to verify — you just need to find\nthe right article online or a page in the book. Others are lost to time and get\neven more confusing in the noise of the outdated news. Each rumor had a value\nbetween 0 and 10, with 10 meaning the rumor was fully\nverifiable\n\nIn this case about half of rumors tend to be absolutely verifiable, the rest\nspread out evenly across the spectrum.\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3651,"value":"Plot.plot({\n width: 600,\n height: 200,\n marginTop: 20,\n marginBottom: 30,\n x: { label: null },\n y: { axis: null },\n marks: [\n Plot.line(\n d3.range(0, 10, 0.05).map((t) => ({\n x: t,\n y: Math.exp(-0.8 * t) * Math.cos(3 * Math.PI * t)\n })),\n {\n x: \"x\",\n y: \"y\",\n stroke: \"#f15ea3\",\n stroke: \"color(display-p3 0.945098 0.368627 0.639216 / 1.000000)\",\n strokeWidth: 4,\n curve: \"basis\"\n }\n ),\n Plot.dot(\n Array.from(poisson([0, -1, 10, 1], { n: isMobile ? 2000 : 8000 })).filter(\n ([x]) => Math.random() < ((10 - x) / 6) ** 2\n ),\n {\n r: isMobile ? 1 : 0.5,\n fill: \"black\"\n }\n ),\n beeswarm(rumors, {\n x: \"Verifiability\",\n r: 6,\n gap: 1,\n fill: \"black\"\n })\n ],\n style: { overflow: \"visible\" }\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":5989,"value":"$4b","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":8840,"value":"$${isMobile?\"_Drag and pinch to look at Vishap_\":\"_Drag and scroll to look at Vishap_\"}\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":6144,"value":"{\n const controls = new THREE.OrbitControls(camera, renderer.domElement);\n controls.addEventListener(\"change\", () => renderer.render(scene, camera));\n renderer.render(scene, camera);\n return renderer.domElement;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":6002,"value":"## 8 ${icons.emotions} Emotions in the city","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":6549,"value":"Each rumor carries an\nemotion\nfrom the storyteller. We included this parameter in our research. Now, by\nlooking at the city map, you can see the emotional character of different\nneighborhoods — through the lens of the collected rumors.\n\nEach emotion is designated with an Armenian letter — the first one from the word\nthat holds its meaning:\n\n- Awe — Հիացմունք _[Hiats’munk’]_\n- Fear – Սարսափ _[Sarsap’]_\n- Grief — Վիշտ _[Visht]_\n- Grudge — Դժգոհություն _[Dzhgohut’yun]_\n- Humor – Երգիծանք _[Yergitsank’]_\n- Nostalgia — Նոստալգիա _[Nostalgia]_\n- Stubbornness — Տոկունություն _[Tokunut’yun]_\n- Suspicion – Կասկած _[Kaskats]_\n\n_point or click on the letters to see the rumor_\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":6007,"value":"$4c","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":8647,"value":"This map isn't particularly readable, but you can definitely see the relative\ndensity of rumors, particularly in Kond district .Density\nof rumors there is partly due to our own confirmation bias —\nwe mostly asked the tellers of their district and what happened\nthere.\n\nKond is one of the oldest districts of Yerevan — it has been there since 18\ncentury and families have been living there for generations. It now faces\npossible demolition which brings its people closer together in fears of losing\ntheir shared memory and history. Although they say that community has grown\napart since the times of their youth.\n\nHere's a closeup on Kond:","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3115,"value":"$4d","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":6174,"value":"## 9 ${icons.depth} Rumor height / rumor depth\n\nWe have discovered that rumors have dimensions:\nsize,\nheight, and depth. Size describes what reach does the rumor have: from a\nsingle house to the whole country. Height and depth are sampled from the\nelevation of the ground. It’s intriguing how many mysterious stories and\nspeculations lie hidden beneath the ground.\n\n_point or click on the dots to see the rumor_\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":9265,"value":"$4e","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":6196,"value":"

\n## The Demolition of the monument to Lenin\nThere are many stories surrounding the Lenin monument: it has been both praised\nand mocked while erect, with rumors such as:\n${rumors .filter((d) => d.Rumor.includes(\"Lenin\")).map((d) => `- ${d.Rumor}`).join(\"\\n\")}\n \nWhile searching for photographs of the sculpture, we came across a video of a historic event — the monument’s removal from the city’s central square. Decide for yourself what emotions people in the crowd felt at the demolition.\n\n

\n\nSource: [Armenia my love](https://www.facebook.com/watch/?v=415136509057118)\n","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":6205,"value":"$4f","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":8302,"value":"Plot.plot({\n margin: 50,\n marginLeft: 70,\n width,\n x: { tickFormat: (d) => d.toFixed(0), type: \"quantile\" },\n color: { scheme: \"Accent\" },\n marks: [\n Plot.areaY(Dalma_gardens, {\n x: \"year\",\n y: \"size\",\n z: \"type\",\n fill: (d) => (d.type == \"garden\" ? \"#53c7cb\" : \"#f85827\"),\n fill: (d) =>\n d.type == \"garden\"\n ? \"color(display-p3 0.325490 0.780392 0.796078 / 1.000000)\"\n : \"color(display-p3 0.972549 0.345098 0.152941 / 1.000000)\",\n curve: \"bump-x\",\n offset: \"center\",\n stroke: \"white\",\n strokeWidth: 2\n })\n ]\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":9164,"value":"$50","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":9046,"value":"

","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":8960,"value":"Thanks for reading this report in full. Many thanks to the\nMilano Triennale team,\nLibrary for Architecture,\nNational Library of Armenia\nand tellers of rumors involved in this research: ${Array.from(new\nSet(rumors.map(d=>d.Teller))).sort().join(\", \")}.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":9192,"value":"Viewer count: $\"counter\"$ ","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3727,"value":"---\n### Data input","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":2926,"value":"// Converts a Google Sheets website URL to its CSV URL. You can also go to “File → Publish to web”, select the “Comma-separated values (.csv)” type, select the sheet with your data, and use that CSV URL directly with `d3.csv` above. If you need data to update faster, try the Google Sheets API: https://stackoverflow.com/questions/30082277/accessing-a-new-style-public-google-sheet-as-json/44479726#44479726\n\ngetCsvUrl = url => {\n url = new URL(url);\n const id = url.pathname.split(\"/\")[3]\n const gid = new URLSearchParams(url.hash.slice(1)).get(\"gid\") || 0;\n return `https://docs.google.com/spreadsheets/d/${id}/export?format=csv&gid=${gid}`\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2920,"value":"url = \"https://docs.google.com/spreadsheets/d/1m20B8b1SYrHjQ4m1A-35yhg_8sfcngbJ9xE41_GWpvE/edit?usp=sharing\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2924,"value":"rumors = d3.csv(getCsvUrl(url), d3.autoType)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":8296,"value":"Dalma_gardens = [\n { year: -685, size: 0, type: \"garden\" },\n { year: -645, size: 2000, type: \"garden\" },\n { year: 1815, size: 1200, type: \"garden\" },\n { year: 1990, size: 1000, type: \"garden\" },\n { year: 2003, size: 810, type: \"garden\" },\n { year: 2004, size: 533, type: \"garden\" },\n { year: 2024, size: 250, type: \"garden\" },\n { year: 1815, size: 0, type: \"residential\" },\n { year: 1990, size: 20, type: \"residential\" },\n { year: 2003, size: 50, type: \"residential\" },\n { year: 2004, size: 327, type: \"residential\" },\n { year: 2024, size: 610, type: \"residential\" }\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":6186,"value":"videoUrl = await FileAttachment(\n \"Demolition_of_Monument_to_Lenin.mp4\"\n).url()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4795,"value":"### OSM maps","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":1165,"value":"yerevan_roads = FileAttachment(\"yerevan_roads@1.geojson\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":7421,"value":"yerevan_districts = FileAttachment(\"yerevan_districts.geojson\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3945,"value":"kond_buildings = FileAttachment(\"kond_buildings@1.geojson\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3953,"value":"kond_roads = FileAttachment(\"kond_roads@1.geojson\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":7549,"value":"neighbourhoods= FileAttachment(\"neighbourhoods_yerevan.geojson\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":5002,"value":"### Custom symbols","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":7091,"value":"$51","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":5004,"value":"$52","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":7264,"value":"$53","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":7312,"value":"$54","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":7314,"value":"turtleCommands = svgPathToCanvasDraw(\"M300\", 5); ","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":5584,"value":"### Calculations","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":3676,"value":"bellSetup = {\n const mean = 2025,\n stdDev = 250,\n A = 1;\n return { mean, stdDev, A };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3678,"value":"xScale = (x) =>\n bellSetup.A *\n Math.exp(-((x - bellSetup.mean) ** 2) / (2 * bellSetup.stdDev ** 2))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3680,"value":"bellCurve = d3.range(1500, 2500, 25).map((x) => ({\n x,\n y: xScale(x)\n}))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":3682,"value":"tickValues = isMobile\n ? [1500, 1600, 1700, 1750, 1800, 1850, 1900, 2025, 2110].map((x) => ({\n x,\n y: xScale(x),\n label:\n x > 1900 && x < 2025\n ? `'${x.toString().slice(2)}`\n : x !== 2110\n ? x.toFixed(0)\n : \"∞\"\n }))\n : [\n 1500, 1600, 1700, 1750, 1800, 1850, 1900, 1920, 1940, 1960, 1980, 2025,\n 2110\n ].map((x) => ({\n x,\n y: xScale(x),\n label:\n x > 1900 && x < 2025\n ? `'${x.toString().slice(2)}`\n : x !== 2110\n ? x.toFixed(0)\n : \"∞\"\n }))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":8004,"value":"isMobile = window.innerWidth < 768;","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4499,"value":"### Imports","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":4341,"value":"import {poisson} from \"@mbostock/poisson-disk-sampling\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":7215,"value":"import { Legend, Swatches } from \"@d3/color-legend\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4501,"value":"import {line, bar, area, histogram, ticks, range} from \"@hamzaamjad/tiny-charts\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":9183,"value":"import {beeswarm} from \"@fil/experimental-plot-beeswarm\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4585,"value":"import { stylesheet, theme } from \"@ajar/css\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4606,"value":"stylesheet","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4609,"value":"theme({\n colors: {\n primary: \"#f15ea3\",\n primary: \"color(display-p3 0.945098 0.368627 0.639216 / 1.000000)\",\n secondary: \"#53c7cb\",\n secondary: \"color(display-p3 0.325490 0.780392 0.796078 / 1.000000)\",\n accent: \"#f85827\",\n accent: \"color(display-p3 0.972549 0.345098 0.152941 / 1.000000)\"\n },\n marker: \"decimal\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4099,"value":"geo = require(\"geotoolbox@2\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":6641,"value":"gost = FileAttachment(\"GOST2930-62VF.ttf\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":6097,"value":"$55","pinned":false,"hidden":false,"mode":"html","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":6128,"value":"### Three.js","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"","database":"$undefined"},{"id":6130,"value":"renderer = {\n // const renderer = new THREE.WebGLRenderer({ antialias: true });\n const renderer = new THREE.WebGLRenderer();\n renderer.setSize(width, height);\n renderer.setPixelRatio(devicePixelRatio);\n renderer.setClearColor(0xeeeeee);\n // renderer.setClearColor(0x111111);\n return renderer;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":6132,"value":"scene = {\n const scene = new THREE.Scene();\n const axesHelper = new THREE.AxesHelper(1);\n const ambientLight = new THREE.AmbientLight(0xffffff, 1);\n const directLight = new THREE.DirectionalLight(0xffffff, 0.72);\n directLight.position.set(300, 300, 300);\n \n scene.add(vishap);\n // scene.add(axesHelper);\n scene.add(ambientLight);\n scene.add(directLight);\n \n return scene;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":6135,"value":"camera = {\n const fov = 45;\n const aspect = width/height;\n const near = 0.01;\n const far = 1000;\n const camera = new THREE.PerspectiveCamera(fov, aspect, near, far);\n camera.position.set(0, 1, 50);\n camera.lookAt(new THREE.Vector3(0, 0, 0));\n return camera;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":6137,"value":"height = isMobile ? 300 : 500","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":6140,"value":"vishap = {\n const gltfLoader = new THREE.GLTFLoader();\n const blob = await FileAttachment(\"Vishap@3.glb\").blob();\n const url = URL.createObjectURL(blob);\n const gltf = await new Promise(resolve => gltfLoader.load(url, gltf => resolve(gltf)));\n const vishap = gltf.scene.children[0];\n vishap.position.y = -.53;\n vishap.scale.set(19, 19, 19);\n \n return vishap;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":6126,"value":"THREE = {\n // const THREE = window.THREE = await require('three');\n const THREE = window.THREE = await require('three@0.105.1/build/three.min.js');\n await require('three@0.105.1/examples/js/controls/OrbitControls.js').catch(() => {});\n await require('three@0.105.1/examples/js/loaders/GLTFLoader.js').catch(() => {});\n // await require('three/examples/js/controls/OrbitControls.js').catch(() => {});\n // await require('three/examples/js/loaders/GLTFLoader.js').catch(() => {});\n return THREE;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W56","stdlib":"1"}} 42:"$41:body"