2b:null 2c:["$","title",null,{"children":"Queens CY 2019 Demographics: District compared to Board | Zhi Keng He | Observable"}] 32:T104c,ageChart = { const items = selectedData['age'].filter(d => d.bName !== 'No response'); const margin = { top: 20, right: 80, bottom: 10, left: 100 }; const barHeight = 40; const height = Math.ceil((items.length + 0.1) * barHeight) + margin.top + margin.bottom; const svg = d3.create('svg').attr('viewBox', [0, 0, width, height]); const xScale = d3 .scaleLinear() .domain([0, .8]) .range([margin.left, width - margin.right]); const yScale = d3 .scaleBand() .domain(d3.range(items.length)) .rangeRound([margin.top, height - margin.bottom]) .padding(0.1); const xAxis = g => g .attr("transform", `translate(0,${margin.top})`) .call(d3.axisTop(xScale).ticks(width / 80, "%")) .call(g => g.select(".domain").remove()); const yAxis = g => g.attr("transform", `translate(${margin.left - 10},0)`).call( d3 .axisLeft(yScale) .tickFormat(i => items[i].bName) .tickSizeOuter(0) ); const format = xScale.tickFormat(20, '%'); //board bar svg .append('g') .attr('fill', 'steelblue') .selectAll('rect') .data(items) .join('rect') .attr('x', xScale(0)) .attr('y', (d, i) => yScale(i) + yScale.bandwidth() * .5) .attr("width", d => xScale(d.bValue) - xScale(0)) .attr("height", yScale.bandwidth() * .666); svg .append("g") .attr("fill", "white") .attr("text-anchor", "end") .attr("font-family", "sans-serif") .attr("font-size", 12) .selectAll("text") .data(items) .join("text") .attr("x", d => xScale(d.bValue)) .attr("y", (d, i) => yScale(i) + yScale.bandwidth() * 0.9) .attr("dy", "0.25em") .attr("dx", -4) .text(d => format(d.bValue)) .call(text => text .filter(d => xScale(d.bValue) - xScale(0) < 25) // short bars .attr("dx", +4) .attr("fill", "black") .attr("text-anchor", "start") ); //district bar svg .append('g') .attr('fill', '#8C8C8C') .selectAll('rect') .data(items) .join('rect') .attr('x', xScale(0)) .attr('y', (d, i) => yScale(i) + yScale.bandwidth() * 0.333) .attr("width", d => xScale(d.dValue) - xScale(0)) .attr("height", yScale.bandwidth() * .222); svg.append('g').call(xAxis); svg.append('g').call(yAxis); //divider svg .append('text') .attr("fill", "black") .attr("text-anchor", "start") .attr("font-family", "sans-serif") .attr("font-size", 11) .attr("x", width - margin.right) .attr("y", margin.top) .attr("dy", "0.25em") .attr("dx", 20) .text('Difference'); svg .append('line') .attr('stroke', 'grey') .attr('stroke-width', '0.5px') .attr('fill', 'none') .attr('x1', width - margin.right) .attr('y1', margin.top) .attr('x2', width - margin.right) .attr('y2', height); //difference const differenceFormat = d3.format('.1%'); const memberFormat = d3.format(".1f"); svg .append('g') .attr("fill", "black") .attr("text-anchor", "start") .attr("font-family", "sans-serif") .attr("font-size", 12) .selectAll("text") .data(items) .join("text") .attr("x", d => width - margin.right) .attr("y", (d, i) => yScale(i) + yScale.bandwidth() * 0.9) // .attr("dy", "0.25em") .attr("dx", "20") .attr('font-weight', d => (d.bValue - d.dValue < 0 ? 'bold' : 'normal')) .text(d => { if (d.dValue) { return differenceFormat(d.bValue - d.dValue); } return 'N/A'; }); svg .append('g') .attr("fill", "grey") .attr("text-anchor", "start") .attr("font-family", "sans-serif") .attr("font-size", 9) .selectAll("text") .data(items) .join("text") .attr("x", d => width - margin.right) .attr("y", (d, i) => yScale(i) + yScale.bandwidth() * 1.3) // .attr("dy", "0.25em") .attr("dx", "20") .text(d => { if (d.dValue) { return `${memberFormat( (d.bValue - d.dValue) * selectedDistrict[0].members )} members`; } return `${memberFormat(d.bValue * selectedDistrict[0].members)} members`; }); return svg.node(); }33:T10b3,genderChart = { const items = selectedData['gender'].filter(d => d.bName !== 'No response'); const margin = { top: 20, right: 80, bottom: 10, left: 100 }; const barHeight = 40; const height = Math.ceil((items.length + 0.1) * barHeight) + margin.top + margin.bottom; const svg = d3.create('svg').attr('viewBox', [0, 0, width, height]); const xScale = d3 .scaleLinear() .domain([0, .8]) .range([margin.left, width - margin.right]); const yScale = d3 .scaleBand() .domain(d3.range(items.length)) .rangeRound([margin.top, height - margin.bottom]) .padding(0.1); const xAxis = g => g .attr("transform", `translate(0,${margin.top})`) .call(d3.axisTop(xScale).ticks(width / 80, "%")) .call(g => g.select(".domain").remove()); const yAxis = g => g .attr("transform", `translate(${margin.left - 10},0)`) .call( d3 .axisLeft(yScale) .tickFormat(i => items[i].bName) .tickSizeOuter(0) ) .selectAll(".tick text") .call(truncateLabel, yScale.bandwidth()); const format = xScale.tickFormat(20, '%'); //board bar svg .append('g') .attr('fill', '#B44682') .selectAll('rect') .data(items) .join('rect') .attr('x', xScale(0)) .attr('y', (d, i) => yScale(i) + yScale.bandwidth() * .5) .attr("width", d => xScale(d.bValue) - xScale(0)) .attr("height", yScale.bandwidth() * .666); svg .append("g") .attr("fill", "white") .attr("text-anchor", "end") .attr("font-family", "sans-serif") .attr("font-size", 12) .selectAll("text") .data(items) .join("text") .attr("x", d => xScale(d.bValue)) .attr("y", (d, i) => yScale(i) + yScale.bandwidth() * 0.9) .attr("dy", "0.25em") .attr("dx", -4) .text(d => format(d.bValue)) .call(text => text .filter(d => xScale(d.bValue) - xScale(0) < 25) // short bars .attr("dx", +4) .attr("fill", "black") .attr("text-anchor", "start") ); //district bar svg .append('g') .attr('fill', '#8C8C8C') .selectAll('rect') .data(items) .join('rect') .attr('x', xScale(0)) .attr('y', (d, i) => yScale(i) + yScale.bandwidth() * 0.333) .attr("width", d => xScale(d.dValue) - xScale(0)) .attr("height", yScale.bandwidth() * .222); svg.append('g').call(xAxis); svg.append('g').call(yAxis); //divider svg .append('text') .attr("fill", "black") .attr("text-anchor", "start") .attr("font-family", "sans-serif") .attr("font-size", 11) .attr("x", width - margin.right) .attr("y", margin.top) .attr("dy", "0.25em") .attr("dx", 20) .text("Difference"); svg .append('line') .attr('stroke', 'grey') .attr('stroke-width', '0.5px') .attr('fill', 'none') .attr('x1', width - margin.right) .attr('y1', margin.top) .attr('x2', width - margin.right) .attr('y2', height); //difference const differenceFormat = d3.format('.1%'); const memberFormat = d3.format(".1f"); svg .append('g') .attr("fill", "black") .attr("text-anchor", "start") .attr("font-family", "sans-serif") .attr("font-size", 12) .selectAll("text") .data(items) .join("text") .attr("x", d => width - margin.right) .attr("y", (d, i) => yScale(i) + yScale.bandwidth() * 0.9) // .attr("dy", "0.25em") .attr("dx", "20") .attr('font-weight', d => (d.bValue - d.dValue < 0 ? 'bold' : 'normal')) .text(d => { if (d.dValue) { return differenceFormat(d.bValue - d.dValue); } return ''; }); svg .append('g') .attr("fill", "grey") .attr("text-anchor", "start") .attr("font-family", "sans-serif") .attr("font-size", 9) .selectAll("text") .data(items) .join("text") .attr("x", d => width - margin.right) .attr("y", (d, i) => yScale(i) + yScale.bandwidth() * 1.3) // .attr("dy", "0.25em") .attr("dx", "20") .text(d => { if (d.dValue) { return `${memberFormat( (d.bValue - d.dValue) * selectedDistrict[0].members )} members`; } return `${memberFormat(d.bValue * selectedDistrict[0].members)} members`; }); return svg.node(); }34:T115d,raceEthnicChart = { const items = selectedData['race/ethnic'].filter( d => d.bName !== 'No response' && d.bName !== 'Other' ); const colors = { White: '#8495c3', Black: '#82af62', Native: '#ba8a37', Asian: '#bb5752', Other: 'grey', 'Latinx/Hispanic': '#c1b29b' }; const margin = { top: 20, right: 80, bottom: 10, left: 100 }; const barHeight = 40; const height = Math.ceil((items.length + 0.1) * barHeight) + margin.top + margin.bottom; const svg = d3.create('svg').attr('viewBox', [0, 0, width, height]); const xScale = d3 .scaleLinear() .domain([0, .8]) .range([margin.left, width - margin.right]); const yScale = d3 .scaleBand() .domain(d3.range(items.length)) .rangeRound([margin.top, height - margin.bottom]) .padding(0.1); const xAxis = g => g .attr("transform", `translate(0,${margin.top})`) .call(d3.axisTop(xScale).ticks(width / 80, "%")) .call(g => g.select(".domain").remove()); const yAxis = g => g .attr("transform", `translate(${margin.left - 10},0)`) .call( d3 .axisLeft(yScale) .tickFormat(i => items[i].bName) .tickSizeOuter(0) ) .selectAll(".tick text"); const format = xScale.tickFormat(20, '%'); //board bar svg .append('g') .selectAll('rect') .data(items) .join('rect') .attr('fill', d => colors[d.bName]) .attr('x', xScale(0)) .attr('y', (d, i) => yScale(i) + yScale.bandwidth() * .5) .attr("width", d => xScale(d.bValue) - xScale(0)) .attr("height", yScale.bandwidth() * .666); svg .append("g") .attr("fill", "white") .attr("text-anchor", "end") .attr("font-family", "sans-serif") .attr("font-size", 12) .selectAll("text") .data(items) .join("text") .attr("x", d => xScale(d.bValue)) .attr("y", (d, i) => yScale(i) + yScale.bandwidth() * 0.9) .attr("dy", "0.25em") .attr("dx", -4) .text(d => format(d.bValue)) .call(text => text .filter(d => xScale(d.bValue) - xScale(0) < 25) // short bars .attr("dx", +4) .attr("fill", "black") .attr("text-anchor", "start") ); //district bar svg .append('g') .attr('fill', '#8C8C8C') .selectAll('rect') .data(items) .join('rect') .attr('x', xScale(0)) .attr('y', (d, i) => yScale(i) + yScale.bandwidth() * 0.333) .attr("width", d => xScale(d.dValue) - xScale(0)) .attr("height", yScale.bandwidth() * .222); svg.append('g').call(xAxis); svg.append('g').call(yAxis); //divider svg .append('text') .attr("fill", "black") .attr("text-anchor", "start") .attr("font-family", "sans-serif") .attr("font-size", 11) .attr("x", width - margin.right) .attr("y", margin.top) .attr("dy", "0.25em") .attr("dx", 20) .text("Difference"); svg .append('line') .attr('stroke', 'grey') .attr('stroke-width', '0.5px') .attr('fill', 'none') .attr('x1', width - margin.right) .attr('y1', margin.top) .attr('x2', width - margin.right) .attr('y2', height); //difference const differenceFormat = d3.format('.1%'); const memberFormat = d3.format(".1f"); svg .append('g') .attr("fill", "black") .attr("text-anchor", "start") .attr("font-family", "sans-serif") .attr("font-size", 12) .selectAll("text") .data(items) .join("text") .attr("x", d => width - margin.right) .attr("y", (d, i) => yScale(i) + yScale.bandwidth() * 0.9) // .attr("dy", "0.25em") .attr("dx", "20") .attr('font-weight', d => (d.bValue - d.dValue < 0 ? 'bold' : 'normal')) .text(d => { if (d.dValue) { return differenceFormat(d.bValue - d.dValue); } return ''; }); svg .append('g') .attr("fill", "grey") .attr("text-anchor", "start") .attr("font-family", "sans-serif") .attr("font-size", 9) .selectAll("text") .data(items) .join("text") .attr("x", d => width - margin.right) .attr("y", (d, i) => yScale(i) + yScale.bandwidth() * 1.3) // .attr("dy", "0.25em") .attr("dx", "20") .text(d => { if (d.dValue) { return `${memberFormat( (d.bValue - d.dValue) * selectedDistrict[0].members )} members`; } return `${memberFormat(d.bValue * selectedDistrict[0].members)} members`; }); return svg.node(); }35:T7cc6,data = [{'board': 1, 'race/ethnic': [{'bName': 'White', 'bValue': 0.42, 'dName': 'White (any)', 'dValue': 0.6689436447914126}, {'bName': 'Black', 'bValue': 0.08, 'dName': 'Black (any)', 'dValue': 0.07604903635032935}, {'bName': 'Native', 'bValue': 0.02, 'dName': 'Native (any)', 'dValue': 0.009124176628445963}, {'bName': 'Asian', 'bValue': 0.12, 'dName': 'Asian/Pacific Islander (any)', 'dValue': 0.17129177848255672}, {'bName': 'Other', 'bValue': 0.08, 'dName': 'Other', 'dValue': 0.11150280556233227}, {'bName': 'Latinx/Hispanic', 'bValue': 0.02, 'dName': 'Latinx/Hispanic', 'dValue': 0.25391558916808976}, {'bName': 'No response', 'bValue': 0.26, 'dName': '', 'dValue': ''}], 'gender': [{'bName': 'Male', 'bValue': 0.5135135135135135, 'dName': 'Male', 'dValue': 0.49353581944854247}, {'bName': 'Female', 'bValue': 0.4864864864864865, 'dName': 'Female', 'dValue': 0.5064641805514575}, {'bName': 'Transgender', 'bValue': 0.0, 'dName': '', 'dValue': ''}, {'bName': 'Gender non-conforming', 'bValue': 0.0, 'dName': '', 'dValue': ''}, {'bName': 'No response', 'bValue': 0.26, 'dName': '', 'dValue': ''}], 'age': [{'bName': '16-25', 'bValue': 0.0, 'dName': '15-24', 'dValue': 0.09615331415292686}, {'bName': '26-35', 'bValue': 0.13333333333333333, 'dName': '25-34', 'dValue': 0.304864722806241}, {'bName': '36-45', 'bValue': 0.15555555555555556, 'dName': '35-44', 'dValue': 0.16977426136992366}, {'bName': '46-55', 'bValue': 0.13333333333333333, 'dName': '45-54', 'dValue': 0.14453081774925308}, {'bName': '56-65', 'bValue': 0.2, 'dName': '55-64', 'dValue': 0.12740677215890228}, {'bName': '66-75', 'bValue': 0.24444444444444444, 'dName': '65-74', 'dValue': 0.08701726236582936}, {'bName': '76-85', 'bValue': 0.1111111111111111, 'dName': '75-84', 'dValue': 0.05317029987827819}, {'bName': '86+', 'bValue': 0.022222222222222223, 'dName': '85+', 'dValue': 0.01708254951864557}, {'bName': 'No response', 'bValue': 0.1, 'dName': '', 'dValue': ''}]}, {'board': 2, 'race/ethnic': [{'bName': 'White', 'bValue': 0.36, 'dName': 'White (any)', 'dValue': 0.5108435514847097}, {'bName': 'Black', 'bValue': 0.04, 'dName': 'Black (any)', 'dValue': 0.03394149800561383}, {'bName': 'Native', 'bValue': 0.0, 'dName': 'Native (any)', 'dValue': 0.008694046387945043}, {'bName': 'Asian', 'bValue': 0.16, 'dName': 'Asian/Pacific Islander (any)', 'dValue': 0.40558428128231644}, {'bName': 'Other', 'bValue': 0.02, 'dName': 'Other', 'dValue': 0.09570098980647067}, {'bName': 'Latinx/Hispanic', 'bValue': 0.1, 'dName': 'Latinx/Hispanic', 'dValue': 0.3070837642192347}, {'bName': 'No response', 'bValue': 0.34, 'dName': '', 'dValue': ''}], 'gender': [{'bName': 'Male', 'bValue': 0.45714285714285713, 'dName': 'Male', 'dValue': 0.49222390451131137}, {'bName': 'Female', 'bValue': 0.5428571428571428, 'dName': 'Female', 'dValue': 0.5077760954886886}, {'bName': 'Transgender', 'bValue': 0.0, 'dName': '', 'dValue': ''}, {'bName': 'Gender non-conforming', 'bValue': 0.0, 'dName': '', 'dValue': ''}, {'bName': 'No response', 'bValue': 0.3, 'dName': '', 'dValue': ''}], 'age': [{'bName': '16-25', 'bValue': 0.0, 'dName': '15-24', 'dValue': 0.09536351309064357}, {'bName': '26-35', 'bValue': 0.1951219512195122, 'dName': '25-34', 'dValue': 0.26382949132505823}, {'bName': '36-45', 'bValue': 0.14634146341463414, 'dName': '35-44', 'dValue': 0.20277459059142589}, {'bName': '46-55', 'bValue': 0.2682926829268293, 'dName': '45-54', 'dValue': 0.1650846632592747}, {'bName': '56-65', 'bValue': 0.07317073170731707, 'dName': '55-64', 'dValue': 0.11532978686415632}, {'bName': '66-75', 'bValue': 0.21951219512195122, 'dName': '65-74', 'dValue': 0.08346371822954696}, {'bName': '76-85', 'bValue': 0.07317073170731707, 'dName': '75-84', 'dValue': 0.04917249052536421}, {'bName': '86+', 'bValue': 0.024390243902439025, 'dName': '85+', 'dValue': 0.024981746114530093}, {'bName': 'No response', 'bValue': 0.18, 'dName': '', 'dValue': ''}]}, {'board': 3, 'race/ethnic': [{'bName': 'White', 'bValue': 0.18, 'dName': 'White (any)', 'dValue': 0.411582399785619}, {'bName': 'Black', 'bValue': 0.28, 'dName': 'Black (any)', 'dValue': 0.06137238795971035}, {'bName': 'Native', 'bValue': 0.0, 'dName': 'Native (any)', 'dValue': 0.012379337865627385}, {'bName': 'Asian', 'bValue': 0.14, 'dName': 'Asian/Pacific Islander (any)', 'dValue': 0.20338815195418772}, {'bName': 'Other', 'bValue': 0.04, 'dName': 'Other', 'dValue': 0.34178623650652173}, {'bName': 'Latinx/Hispanic', 'bValue': 0.18, 'dName': 'Latinx/Hispanic', 'dValue': 0.6601595041274169}, {'bName': 'No response', 'bValue': 0.22, 'dName': '', 'dValue': ''}], 'gender': [{'bName': 'Male', 'bValue': 0.5581395348837209, 'dName': 'Male', 'dValue': 0.5241477677934674}, {'bName': 'Female', 'bValue': 0.4186046511627907, 'dName': 'Female', 'dValue': 0.4758522322065326}, {'bName': 'Transgender', 'bValue': 0.0, 'dName': '', 'dValue': ''}, {'bName': 'Gender non-conforming', 'bValue': 0.023255813953488372, 'dName': '', 'dValue': ''}, {'bName': 'No response', 'bValue': 0.14, 'dName': '', 'dValue': ''}], 'age': [{'bName': '16-25', 'bValue': 0.0, 'dName': '15-24', 'dValue': 0.1415312426898573}, {'bName': '26-35', 'bValue': 0.06521739130434782, 'dName': '25-34', 'dValue': 0.1946114788160665}, {'bName': '36-45', 'bValue': 0.15217391304347827, 'dName': '35-44', 'dValue': 0.1823166788215706}, {'bName': '46-55', 'bValue': 0.1956521739130435, 'dName': '45-54', 'dValue': 0.15945399254193443}, {'bName': '56-65', 'bValue': 0.1956521739130435, 'dName': '55-64', 'dValue': 0.14351960150262133}, {'bName': '66-75', 'bValue': 0.17391304347826086, 'dName': '65-74', 'dValue': 0.10455740096046674}, {'bName': '76-85', 'bValue': 0.17391304347826086, 'dName': '75-84', 'dValue': 0.048477426279360976}, {'bName': '86+', 'bValue': 0.043478260869565216, 'dName': '85+', 'dValue': 0.025532178388122138}, {'bName': 'No response', 'bValue': 0.08, 'dName': '', 'dValue': ''}]}, {'board': 4, 'race/ethnic': [{'bName': 'White', 'bValue': 0.15555555555555556, 'dName': 'White (any)', 'dValue': 0.2852049655646397}, {'bName': 'Black', 'bValue': 0.15555555555555556, 'dName': 'Black (any)', 'dValue': 0.09666957804155152}, {'bName': 'Native', 'bValue': 0.0, 'dName': 'Native (any)', 'dValue': 0.013903008261622829}, {'bName': 'Asian', 'bValue': 0.13333333333333333, 'dName': 'Asian/Pacific Islander (any)', 'dValue': 0.4179278647212955}, {'bName': 'Other', 'bValue': 0.06666666666666667, 'dName': 'Other', 'dValue': 0.3049068598674131}, {'bName': 'Latinx/Hispanic', 'bValue': 0.2, 'dName': 'Latinx/Hispanic', 'dValue': 0.5357669563723314}, {'bName': 'No response', 'bValue': 0.35555555555555557, 'dName': '', 'dValue': ''}], 'gender': [{'bName': 'Male', 'bValue': 0.46875, 'dName': 'Male', 'dValue': 0.5039532529441163}, {'bName': 'Female', 'bValue': 0.53125, 'dName': 'Female', 'dValue': 0.49604674705588375}, {'bName': 'Transgender', 'bValue': 0.0, 'dName': '', 'dValue': ''}, {'bName': 'Gender non-conforming', 'bValue': 0.0, 'dName': '', 'dValue': ''}, {'bName': 'No response', 'bValue': 0.28888888888888886, 'dName': '', 'dValue': ''}], 'age': [{'bName': '16-25', 'bValue': 0.05263157894736842, 'dName': '15-24', 'dValue': 0.1413945459728249}, {'bName': '26-35', 'bValue': 0.18421052631578946, 'dName': '25-34', 'dValue': 0.23174864599499573}, {'bName': '36-45', 'bValue': 0.21052631578947367, 'dName': '35-44', 'dValue': 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0.38101170223533715}, {'bName': 'Native', 'bValue': 0.022727272727272728, 'dName': 'Native (any)', 'dValue': 0.009654538801124287}, {'bName': 'Asian', 'bValue': 0.0, 'dName': 'Asian/Pacific Islander (any)', 'dValue': 0.037107687037224474}, {'bName': 'Other', 'bValue': 0.045454545454545456, 'dName': 'Other', 'dValue': 0.09643638515381082}, {'bName': 'Latinx/Hispanic', 'bValue': 0.09090909090909091, 'dName': 'Latinx/Hispanic', 'dValue': 0.24038244431121872}, {'bName': 'No response', 'bValue': 0.36363636363636365, 'dName': '', 'dValue': ''}], 'gender': [{'bName': 'Male', 'bValue': 0.48484848484848486, 'dName': 'Male', 'dValue': 0.49632824051256774}, {'bName': 'Female', 'bValue': 0.5151515151515151, 'dName': 'Female', 'dValue': 0.5036717594874323}, {'bName': 'Transgender', 'bValue': 0.0, 'dName': '', 'dValue': ''}, {'bName': 'Gender non-conforming', 'bValue': 0.0, 'dName': '', 'dValue': ''}, {'bName': 'No response', 'bValue': 0.25, 'dName': '', 'dValue': ''}], 'age': [{'bName': '16-25', 'bValue': 0.05, 'dName': '15-24', 'dValue': 0.15772196913106148}, {'bName': '26-35', 'bValue': 0.0, 'dName': '25-34', 'dValue': 0.14616978968299893}, {'bName': '36-45', 'bValue': 0.1, 'dName': '35-44', 'dValue': 0.15738529359159154}, {'bName': '46-55', 'bValue': 0.15, 'dName': '45-54', 'dValue': 0.13849990004944923}, {'bName': '56-65', 'bValue': 0.4, 'dName': '55-64', 'dValue': 0.17086283628099783}, {'bName': '66-75', 'bValue': 0.2, 'dName': '65-74', 'dValue': 0.11643713110355929}, {'bName': '76-85', 'bValue': 0.1, 'dName': '75-84', 'dValue': 0.0793186528769977}, {'bName': '86+', 'bValue': 0.0, 'dName': '85+', 'dValue': 0.03360442728334403}, {'bName': 'No response', 'bValue': 0.09090909090909091, 'dName': '', 'dValue': ''}]}]36:T7f0,districts = [ { id: 1, name: 'Astoria, Astoria Heights, Queensbridge, Dutch Kills, Long Island City, Ravenswood, Rikers Island (BX), Steinway', members: 50 }, { id: 2, name: 'Blissville, Hunters Point, Long Island City, Sunnyside, Sunnyside Gardens, Woodside', members: 50 }, { id: 3, name: 'East Elmhurst, Jackson Heights, North Corona ', members: 50 }, { id: 4, name: 'Corona, Corona Heights, Elmhurst, Lefrak City ', members: 45 }, { id: 5, name: 'Glendale, Maspeth, Middle Village, Ridgewood ', members: 46 }, { id: 6, name: 'Forest Hills, Forest Hills Gardens, Rego Park ', members: 49 }, { id: 7, name: 'Auburndale, Bay Terrace, Beechhurst, Clearview, College Point, Downtown Flushing, East Flushing, Flushing, Malba, Murray Hill, Queensboro Hill, Waldheim, Whitestone ', members: 50 }, { id: 8, name: 'Briarwood, Fresh Meadows, Hillcrest, Holliswood, Jamaica, Jamaica Estates, Jamaica Hills, Kew Gardens Hills, Pomonok, Utopia ', members: 50 }, { id: 9, name: 'Kew Gardens, Ozone Park, Richmond Hill, Woodhaven ', members: 39 }, { id: 10, name: 'Howard Beach, Lindenwood, Old Howard Beach, Ozone Park, South Ozone Park ', members: 46 }, { id: 11, name: 'Auburndale, Bayside, Douglaston, Hollis Hills, Little Neck, Oakland Gardens ', members: 45 }, { id: 12, name: 'Blissville, Hunters Point, Long Island City, Sunnyside, Sunnyside Gardens, Woodside', members: 49 }, { id: 13, name: 'Bellaire, Bellerose, Brookville, Cambria Heights, Floral Park, Glen Oaks, Laurelton, New Hyde Park, Queens Village, Rosedale, Springfield Gardens ', members: 50 }, { id: 14, name: 'Arverne, Bayswater, Belle Harbor, Breezy Point, Broad Channel, Edgemere, Far Rockaway, Hammels, Neponsit, Rockaway Park, The Rockaways, Roxbury, Seaside, Somerville ', members: 44 } ]37:[] 2f:{"id":"afef1d04566e2e3a","slug":"queens-cy-2019-demographics-district-compared-to-board","title":"Queens CY 2019 Demographics: District compared to Board","thumbnail":"7de1527886eadf280b6deb8a83459ee894be1f51dce5233200be56437ead6319","access_level":"public","create_time":"$D2021-02-24T16:32:40.272Z","update_time":"$D2021-03-16T17:33:23.917Z","view_time":null,"first_public_time":"$D2021-02-24T21:49:40.946Z","fork":false,"stars":0,"starred":false,"owner":{"type":"team","id":"16506c8d98fe0d4f","login":"zhik","name":"Zhi Keng He","avatar_url":"https://avatars-next.observableusercontent.com/1921c3cb8ffa82cde953aa4417dc8b601dbd05384629c1f8ecf0544be068a204","tier":"starter_2024"},"version":653,"publish_version":653,"role":null,"authored":false,"authors":[{"type":"individual","id":"215e59083f0e53f8","login":"zhik","name":"Zhi Keng He","avatar_url":"https://avatars-next.observableusercontent.com/1921c3cb8ffa82cde953aa4417dc8b601dbd05384629c1f8ecf0544be068a204","tier":null}],"members":[{"type":"individual","id":"215e59083f0e53f8","login":"zhik","name":"Zhi Keng He","avatar_url":"https://avatars-next.observableusercontent.com/1921c3cb8ffa82cde953aa4417dc8b601dbd05384629c1f8ecf0544be068a204","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"subscribed":null,"forks":0,"collection":null,"type":"notebook","body":{"title":"Queens CY 2019 Demographics: District compared to Board","cells":[{"id":0,"value":"md`# Queens CY 2019 Demographics: District compared to Board`","pinned":false,"hidden":false,"mode":"ojs"},{"id":18,"value":"viewof selectedDistrict = Select(d3.group(districts, d => d.id), {\n label: \"Community Board/District\"\n})","pinned":false,"hidden":false,"mode":"ojs"},{"id":56,"value":"{\n const { members, name, id } = selectedDistrict[0];\n return md`\n# District/ Board ${id}\n*${name}* \n\n*Members on the Board: ${members} /50*`;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":439,"value":"md`**Disclaimer**: Board numbers and calculations excludes members who did not respond or preferred not to answer. If too many members did not respond, the data might not be reliable.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":52,"value":"md`## Age`","pinned":false,"hidden":false,"mode":"ojs"},{"id":336,"value":"html`\n\n

Legend

% of District Population

% of Board Members

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":249,"value":"md`\n*Note:* Age is recorded by the Census Bureau (district data) slightly different from how board data was collected, so age categories are a year off. *(ie: 15-24 vs 16-25; 25-34 vs 26-35)*. Collection for board data is fixed in the 2021 suvery.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":63,"value":"$32","pinned":false,"hidden":false,"mode":"ojs"},{"id":466,"value":"{\n const noResponse = selectedData['age'].find(d => d.bName === 'No response');\n const members = selectedDistrict[0].members;\n return md`> **${singleFormat(\n noResponse.bValue * members\n )} out of ${members} members did not give a response to this question.**`;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":617,"value":"html`

`","pinned":false,"hidden":false,"mode":"ojs"},{"id":290,"value":"md`\n## Sex and Gender\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":512,"value":"html`\n\n

Legend

% of District Population

% of Board Members

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":421,"value":"md`\n*Note:* Gender is not recorded by the Census Bureau (district data).`","pinned":false,"hidden":false,"mode":"ojs"},{"id":380,"value":"$33","pinned":false,"hidden":false,"mode":"ojs"},{"id":481,"value":"{\n const noResponse = selectedData['gender'].find(\n d => d.bName === 'No response'\n );\n const members = selectedDistrict[0].members;\n return md`> **${singleFormat(\n noResponse.bValue * members\n )} out of ${members} members did not give a response to this question.**`;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":611,"value":"html`

`","pinned":false,"hidden":false,"mode":"ojs"},{"id":494,"value":"md`## Race and Ethnicity\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":515,"value":"html`\n\n

Legend

% of District population

% of Board Members

\n`","pinned":false,"hidden":false,"mode":"ojs"},{"id":562,"value":"md`\n*Note:* Both district and board data show those who identify as the race alone or in combination with one or more other races. The Latinx/Hispanic includes people of any race.`","pinned":false,"hidden":false,"mode":"ojs"},{"id":487,"value":"$34","pinned":false,"hidden":false,"mode":"ojs"},{"id":534,"value":"{\n const noResponse = selectedData['race/ethnic'].find(\n d => d.bName === 'No response'\n );\n const members = selectedDistrict[0].members;\n return md`> **${singleFormat(\n noResponse.bValue * members\n )} out of ${members} members did not give a response to this question.**`;\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":606,"value":"html`

`","pinned":false,"hidden":false,"mode":"ojs"},{"id":36,"value":"md`### Appendix`","pinned":false,"hidden":false,"mode":"ojs"},{"id":408,"value":"md`*Sources*: \n- U.S. Census Bureau - ACS 2019 (1 year estimates)\n- [CY 2019 Queens Community Board Report ](https://www.queensbp.org/wp-content/uploads/2020/07/CY2019-Queens-Community-Board-Report.pdf) (uploaded 7/2020)\n\n*Inspiration from:* \n- [Previous work from BetaNYC Fellows](https://storymaps.arcgis.com/stories/ab55e4f3bd514a91a3ce98d05a1e2901)\n- [statisticalatlas](https://statisticalatlas.com/neighborhood/New-York/New-York/SoHo/Race-and-Ethnicity)`","pinned":false,"hidden":false,"mode":"ojs"},{"id":542,"value":"html`

`","pinned":false,"hidden":false,"mode":"ojs"},{"id":581,"value":"singleFormat = d3.format(\".0f\")","pinned":false,"hidden":false,"mode":"ojs"},{"id":41,"value":"selectedData = data.find(d => d.board === selectedDistrict[0].id)","pinned":false,"hidden":false,"mode":"ojs"},{"id":5,"value":"$35","pinned":false,"hidden":false,"mode":"ojs"},{"id":19,"value":"$36","pinned":false,"hidden":false,"mode":"ojs"},{"id":384,"value":"function truncateLabel(text, width) {\n text.each(function() {\n let t = d3.select(this).text();\n if (t.length > 10) {\n t = t.slice(0, 10);\n }\n d3.select(this).text(t);\n });\n}","pinned":false,"hidden":false,"mode":"ojs"},{"id":15,"value":"import { Select } from \"@observablehq/inputs\"","pinned":false,"hidden":false,"mode":"ojs"},{"id":21,"value":"d3 = require('d3')","pinned":false,"hidden":false,"mode":"ojs"}],"files":"$W37","stdlib":"1","titling":"auto"}} 30:"$2f:body"