2d:null 2e:["$","title",null,{"children":"Data Uncertainty: National US Covid Data | US Covid Atlas | Observable"}] 33:T750,viewof dataInfoCumulative = { const form = html` `; function onsubmit(){ return { 'variable': form[`variable`].value, 'dataset1': form[`dataset1`].value, 'dataset2': form[`dataset2`].value, } } form.addEventListener("input", event => { event.preventDefault(); form.value = onsubmit(); // Need this, because otherwise the viewof Generator catches bubbling input events event.stopPropagation(); }); form.addEventListener("submit", event => { event.preventDefault(); form.value = onsubmit(); form.dispatchEvent(new CustomEvent("input")); }); form.value = onsubmit() return form; }34:Tbc5,viewof CountyMap2 = { let value = null; const svg = d3.create("svg") .attr("viewBox", [0, 0, 975, 610]) svg.append("g") .attr("transform", "translate(610,20)") .append(() => legend({color:cumulativeColorScale, title: `Difference in ${dataInfoCumulative.variable} Per 100k Population`, width: 260 })); svg.append("g") .selectAll("path") .data(topojson.feature(countiesMerged, countiesMerged.objects.NYC_MERGED).features) .enter().append("path") .attr("d", path) .attr("fill", d => combinedResults[dataInfoCumulative.variable][+d.properties.id] ? cumulativeColorScale( combinedResults[dataInfoCumulative.variable][+d.properties.id][dataInfoCumulative.dataset2] - combinedResults[dataInfoCumulative.variable][+d.properties.id][dataInfoCumulative.dataset1] ) : 'rgb(255,255,255)') .attr('id', d => d.properties.name) .attr('class', 'county'); svg.append("g") .selectAll("path") .data(topojson.feature(countiesTopojson, countiesTopojson.objects.states).features) .enter().append("path") .attr("d", path) .attr("fill", 'none') .attr("stroke", d => 'white') .attr('id', d=> d.properties.name) .attr('class', 'state'); svg.append("path") .datum(topojson.mesh(countiesTopojson, countiesTopojson.objects.states, (a, b) => a !== b)) .attr("fill", "none") .attr("stroke", d => 'white') .attr("stroke-linejoin", "round") .attr("pointer-events", "none") .attr("d", path); // thanks! https://observablehq.com/@duynguyen1678/choropleth-with-tooltip const tooltip = svg.append("g") svg .selectAll(".county") .on("touchmove mousemove", function(event, d) { tooltip.call( callout, `${d.properties.name} \n ${makeTable(combinedResults[dataInfoCumulative.variable][+d.prpoerties.id])} ` ); tooltip.attr("transform", `translate(${d3.pointer(event, this)})`); d3.select(this) .raise(); }); // .on("touchend mouseleave", function() { // tooltip.call(callout, null); // d3.select(this) // .attr("stroke", null) // .lower(); // }); svg.append("text") .attr("x", 515) .attr("y", 47) .attr("font-size", "0.7em") .text(`${dataInfoCumulative.dataset1} reports more`); svg.append("text") .attr("x", 875) .attr("y", 47) .attr("font-size", "0.7em") .text(`${dataInfoCumulative.dataset2} reports more`); const outline = svg.append("path") .attr("fill", "none") .attr("stroke", "black") .attr("stroke-linejoin", "round") .attr("pointer-events", "none"); return Object.assign(svg.node(), {value: null}); }35:T541,viewof summaryComparison = { const form = html`

Select Comparison

Variable Metric `; function onsubmit(){ return { 'variable': form[`variable`].value, 'metric': form[`dataset1`].value, } } form.addEventListener("input", event => { event.preventDefault(); form.value = onsubmit(); // Need this, because otherwise the viewof Generator catches bubbling input events event.stopPropagation(); }); form.addEventListener("submit", event => { event.preventDefault(); form.value = onsubmit(); form.dispatchEvent(new CustomEvent("input")); }); form.value = onsubmit() return form; }36:T1077,viewof SummaryMap = { let value = null; const fullInfo = { "weeklyFleiss" : { "cases": { "title":"Weekly Fleiss' Kappa Agreement", "dataset": combinedFleissWeekly, "field":"fleiss", "colorScale":fleissColorScaleWeekly }, "deaths":{ "title":"Weekly Fleiss' Kappa Agreement", "dataset": combinedFleissWeekly, "field":"fleiss", "colorScale":fleissColorScaleWeekly }, }, "dailyFleiss": { "cases": { "title":"Daily Fleiss' Kappa Agreement", "dataset": combinedFleiss, "field":"fleiss", "colorScale":fleissColorScale }, "deaths":{ "title":"Daily Fleiss' Kappa Agreement", "dataset": combinedFleiss, "field":"fleiss", "colorScale":fleissColorScale }, }, "pearsonCorrelation": { "cases": { "title":"Mean Pearson's Correlation", "dataset": combinedPearson, "field":"corr", "colorScale":corrColorScale }, "deaths":{ "title":"Mean Pearson's Correlation", "dataset": combinedPearson, "field":"corr", "colorScale":corrColorScale }, }, "euclideanDistance": { "cases": { "title":"Mean Decile Distance", "dataset": combinedDistance, "field":"summary", "colorScale":distanceColorScale }, "deaths":{ "title":"Mean Decile Distance", "dataset": combinedDistance, "field":"summary", "colorScale":distanceColorScale } } } let currInfo = fullInfo[summaryComparison.metric][summaryComparison.variable] const svg = d3.create("svg") .attr("viewBox", [0, 0, 975, 610]) svg.append("g") .attr("transform", "translate(610,20)") .append(() => legend({color:currInfo.colorScale, title: `${currInfo.title}, ${summaryComparison.variable}`, width: 260 })); svg.append("g") .selectAll("path") .data(topojson.feature(countiesMerged, countiesMerged.objects.NYC_MERGED).features) .enter().append("path") .attr("d", path) .attr("fill", d => { let info = _.find(currInfo.dataset[summaryComparison.variable], o => o.fips === +d.properties.id) return info && info[`${currInfo.field}`] ? currInfo.colorScale(info[`${currInfo.field}`]) : 'rgb(255,255,255)' }) .attr('id', d => d.properties.name) .attr('class', 'county'); svg.append("g") .selectAll("path") .data(topojson.feature(countiesTopojson, countiesTopojson.objects.states).features) .enter().append("path") .attr("d", path) .attr("fill", 'none') .attr("stroke", d => 'white') .attr('id', d=> d.properties.name) .attr('class', 'state'); svg.append("path") .datum(topojson.mesh(countiesTopojson, countiesTopojson.objects.states, (a, b) => a !== b)) .attr("fill", "none") .attr("stroke", d => 'white') .attr("stroke-linejoin", "round") .attr("pointer-events", "none") .attr("d", path); // thanks! https://observablehq.com/@duynguyen1678/choropleth-with-tooltip // const tooltip = svg.append("g") // svg // .selectAll(".county") // .on("touchmove mousemove", function(event, d) { // tooltip.call( // callout, // `${d.properties.name} \n // ` // ); // tooltip.attr("transform", `translate(${d3.pointer(event, this)})`); // d3.select(this) // .raise(); // }) // .on("touchend mouseleave", function() { // tooltip.call(callout, null); // d3.select(this) // .attr("stroke", null) // .lower(); // }); const outline = svg.append("path") .attr("fill", "none") .attr("stroke", "black") .attr("stroke-linejoin", "round") .attr("pointer-events", "none"); return Object.assign(svg.node(), {value: null}); }37:T408,// via https://observablehq.com/@neocartocnrs/choropleth-map-about-covid19-in-france callout = (g, value) => { if (!value) return g.style("display", "none"); g.style("display", null) .style("pointer-events", "none") .style("font", "10px sans-serif"); const path = g .selectAll("path") .data([null]) .join("path") .attr("fill", "white") .attr("stroke", "black"); const text = g .selectAll("text") .data([null]) .join("text") .call(text => text .selectAll("tspan") .data((value + "").split(/\n/)) .join("tspan") .attr("x", 0) .attr("y", (d, i) => `${i * 1.1}em`) .style("font-weight", (_, i) => (i ? null : "bold")) .style("font-size", (_, i) => (i ? null : 12)) .text(d => d) ); const { x, y, width: w, height: h } = text.node().getBBox(); text.attr("transform", `translate(${-w / 2},${15 - y})`); path.attr( "d", `M${-w / 2 - 10},5H-5l5,-5l5,5H${w / 2 + 10}v${h + 20}h-${w + 20}z` ); }38:T591,/** * @fileoverview Pearson correlation score algorithm. * @author matt.west@kojilabs.com (Matt West) * @license Copyright 2013 Matt West. * Licensed under MIT (http://opensource.org/licenses/MIT). */ /** * Calculate the person correlation score between two items in a dataset. * * @param {object} prefs The dataset containing data about both items that * are being compared. * @param {string} p1 Item one for comparison. * @param {string} p2 Item two for comparison. * @return {float} The pearson correlation score. */ function pearsonCorrelation(prefs, p1, p2) { var si = []; for (var key in prefs[p1]) { if (prefs[p2][key]) si.push(key); } var n = si.length; if (n == 0) return 0; var sum1 = 0; for (var i = 0; i < si.length; i++) sum1 += prefs[p1][si[i]]; var sum2 = 0; for (var i = 0; i < si.length; i++) sum2 += prefs[p2][si[i]]; var sum1Sq = 0; for (var i = 0; i < si.length; i++) { sum1Sq += Math.pow(prefs[p1][si[i]], 2); } var sum2Sq = 0; for (var i = 0; i < si.length; i++) { sum2Sq += Math.pow(prefs[p2][si[i]], 2); } var pSum = 0; for (var i = 0; i < si.length; i++) { pSum += prefs[p1][si[i]] * prefs[p2][si[i]]; } var num = pSum - (sum1 * sum2 / n); var den = Math.sqrt((sum1Sq - Math.pow(sum1, 2) / n) * (sum2Sq - Math.pow(sum2, 2) / n)); if (den == 0) return 0; return num / den; }39:T53bb,validFips = [1001, 1003, 1005, 1007, 1009, 1011, 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Data","thumbnail":"db996b8cc86d83f2921fb1f5b070596c0651fb521db787dc16964a9d3417b2cb","access_level":"public","create_time":"$D2021-04-28T13:37:18.393Z","update_time":"$D2021-10-25T13:17:50.919Z","view_time":null,"first_public_time":"$D2021-04-28T13:37:36.066Z","has_unpublished_edits":null,"fork":{"id":"b7c00f1bef8940cf","slug":"data-comparison-national-us-covid-data","title":"Data Comparison: National US Covid Data","owner":{"id":"02a75d28143bf487","login":"nofurtherinformation","name":"Dylan"}},"stars":0,"starred":false,"owner":{"type":"team","id":"4dc4fbd64737052c","login":"uscovidatlas","name":"US Covid Atlas","avatar_url":"https://avatars-next.observableusercontent.com/bfb7cd47a84b0863345144ac2bcb88913efa39af89b14b52e95fbb2f154250c3","tier":"starter_2024"},"version":1225,"publish_version":1225,"role":null,"authored":false,"authors":[{"type":"individual","id":"6d95e296026ed58f","login":"uscovidatlas","name":"US Covid Atlas","avatar_url":"https://avatars-next.observableusercontent.com/bfb7cd47a84b0863345144ac2bcb88913efa39af89b14b52e95fbb2f154250c3","tier":null}],"members":[{"type":"individual","id":"6d95e296026ed58f","login":"uscovidatlas","name":"US Covid Atlas","avatar_url":"https://avatars-next.observableusercontent.com/bfb7cd47a84b0863345144ac2bcb88913efa39af89b14b52e95fbb2f154250c3","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":2,"collection":null,"type":"notebook","body":{"title":"Data Uncertainty: National US Covid Data","cells":[{"id":774,"value":"md`# Data Uncertainty: National US Covid Data\nCOVID death and case data has been a challenge to assemble, verify, clean, and communicate at a national scale. No single dataset, or metric, gives the complete picture. The notebook below is an exploratory analysis to see how selected datasets differ (CDC, New York Times, John Hopkins University, USA Facts, or One Point 3 Acres) and explore spatial trends where reported numbers may be lower or higher.\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":917,"value":"md`___`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":914,"value":"md`## Cumulative Cases and Deaths\nData represents the sum of 7-day averages, normalized to cases per 100k population, from 3/15/2020 to 4/15/20201`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":820,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":777,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1076,"value":"summaryCases = {\n let sums = {\n cdc:0,\n usf:0,\n jhu:0,\n nyt:0,\n op3:0\n }\n let vals = Object.values(combinedResults.cases)\n for (let i=0; i r.json())","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1198,"value":"countiesMerged = FileAttachment(\"merged.json\").json()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":130,"value":"md`___\nlibrary import`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":18,"value":"d3 = require('d3@6')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":124,"value":"path = d3.geoPath()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":120,"value":"topojson = require(\"topojson-client@3\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":78,"value":"import {Scrubber} from \"@mbostock/scrubber\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":143,"value":"$37","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":174,"value":"import {legend} from '@d3/color-legend'","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":262,"value":"Inputs = require(\"@observablehq/inputs@0.7.17/dist/inputs.umd.min.js\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":421,"value":"import { vl } from \"@vega/vega-lite-api\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":320,"value":"$38","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":489,"value":"import {gdaProxy} from '@nofurtherinformation/jsgeodaworker-test'","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":618,"value":"mathjs = require(\"https://cdnjs.cloudflare.com/ajax/libs/mathjs/5.4.0/math.js\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":785,"value":"_ = require('lodash')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":963,"value":"$39","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W3a","stdlib":"1","titling":"auto"}} 32:"$31:body"