${data.title[0]}${labels[j] && ` (${labels[j]})`} ${data.title[1]}${labels[i] && ` (${labels[i]})`}

2b:null 2c:["$","title",null,{"children":"Exploring School Spending vs Student Poverty in ACT Performance | mackcross | Observable"}] 31:T44c,legend = () => { const k = 24; const arrow = DOM.uid(); return svg` ${d3.cross(d3.range(n), d3.range(n)).map(([i, j]) => svg` ${data.title[0]}${labels[j] && ` (${labels[j]})`} ${data.title[1]}${labels[i] && ` (${labels[i]})`} `)} ${data.title[0]} ${data.title[1]} `; }32:T451,legend3 = () => { const k = 24; const arrow = DOM.uid(); return svg` ${d3.cross(d3.range(n), d3.range(n)).map(([i, j]) => svg` ${data3.title[0]}${labels[j] && ` (${labels[j]})`} ${data3.title[1]}${labels[i] && ` (${labels[i]})`} `)} ${data3.title[0]} ${data3.title[1]} `; }33:T451,legend2 = () => { const k = 24; const arrow = DOM.uid(); return svg` ${d3.cross(d3.range(n), d3.range(n)).map(([i, j]) => svg` ${data2.title[0]}${labels[j] && ` (${labels[j]})`} ${data2.title[1]}${labels[i] && ` (${labels[i]})`} `)} ${data2.title[0]} ${data2.title[1]} `; }34:T451,legend4 = () => { const k = 24; const arrow = DOM.uid(); return svg` ${d3.cross(d3.range(n), d3.range(n)).map(([i, j]) => svg` ${data4.title[0]}${labels[j] && ` (${labels[j]})`} ${data4.title[1]}${labels[i] && ` (${labels[i]})`} `)} ${data4.title[0]} ${data4.title[1]} `; }35:[{"id":"0789fb9130b5d2f60e4a75c2259931261e33bb0154f67844c79d94826de19dd1e7fc311317ab921c810c738ca99cd0f6250746db7c0be1d969532961b49d0055","href":"https://static.observableusercontent.com/files/0789fb9130b5d2f60e4a75c2259931261e33bb0154f67844c79d94826de19dd1e7fc311317ab921c810c738ca99cd0f6250746db7c0be1d969532961b49d0055","name":"bivariate_variables@1.csv","type":"text/csv","lastModified":1683638630425.92,"size":6205},{"id":"f29b7a58c23c6f0632ba05fc220c20f9cd71dec1bbbbc895ee5c60ba5103c34c9f6047112ed3b21001127b192d3d80741670a2c6edc25857623df2871568ed2e","href":"https://static.observableusercontent.com/files/f29b7a58c23c6f0632ba05fc220c20f9cd71dec1bbbbc895ee5c60ba5103c34c9f6047112ed3b21001127b192d3d80741670a2c6edc25857623df2871568ed2e","name":"rural_variables.json","type":"application/json","lastModified":1683634075924.669,"size":329630}] 2f:{"id":"07f3cbbe81e2cc29","slug":null,"title":"Exploring School Spending vs Student Poverty in ACT Performance","thumbnail":"0161e08d22f3caa6b3e60c17ed56fb8b770c487d59ccfa8aedbd7d301a7388c6","access_level":"public","create_time":"$D2023-05-09T00:34:07.485Z","update_time":"$D2023-05-09T21:21:32.800Z","view_time":null,"first_public_time":"$D2023-05-09T00:34:07.485Z","has_unpublished_edits":null,"fork":{"id":"65c7f6ce9b65d583","slug":"bivariate-choropleth-mapping","title":"Bivariate Choropleth Mapping","owner":{"id":"22130e106df70095","login":"geoviz","name":"Geographic Visualization (GEOG 3540) - University of Iowa"}},"stars":0,"starred":false,"owner":{"type":"team","id":"334f6f51a22349c6","login":"mackcross","name":"mackcross","avatar_url":"https://avatars-next.observableusercontent.com/c748da9e5c023b7ec8437995e067e4e1268c70b0105b5e96414ce56afb2a3e50","tier":"starter_2024"},"version":949,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"8b16ddb9dee32a3f","login":"mackcross","name":"mackcross","avatar_url":"https://avatars-next.observableusercontent.com/c748da9e5c023b7ec8437995e067e4e1268c70b0105b5e96414ce56afb2a3e50","tier":null}],"members":[{"type":"individual","id":"8b16ddb9dee32a3f","login":"mackcross","name":"mackcross","avatar_url":"https://avatars-next.observableusercontent.com/c748da9e5c023b7ec8437995e067e4e1268c70b0105b5e96414ce56afb2a3e50","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":1,"collection":null,"type":"notebook","body":{"title":"Exploring School Spending vs Student Poverty in ACT Performance","cells":[{"id":833,"value":"# Exploring School Spending vs Student Poverty in ACT Performance ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":885,"value":"## Map Goals\nThis is a collection of bivariate maps which explore the connections between county spending per student, percentage of students eligible for free/reduced meals and math/science ACT scores. Specifically, these maps explore the question: **Do counties that invest less money per student and/or counties with a greater percentage of student poverty perform worse on measures of educational success, such as the ACT?** \n\nThe first two maps show the relationship between the average amount of money each county spends per student in the public education system compared to students' ACT science and math scores, respectively. \n\nThe final two maps explore student poverty, as measured by proportion of students eligible for free/reduced lunches, which is also compared to students' ACT scores. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":841,"value":"## How to Use These Maps\nThese maps are interactive in the following ways: \n\n1) Users can use the below color scheme option to view the maps in four different color palettes. Toggle between RdBu, BuPu, GnBu, and PuOr to find your preferred color scheme. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":194,"value":"viewof colors = {\n const form = html`

color scheme`;\n form.i.selectedIndex = 1;\n form.oninput = () => form.value = schemes[form.i.selectedIndex].colors;\n form.oninput();\n return form;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":938,"value":"2) Users can hover over different counties to see their values. These popup values have the following format: \"CountyID, Value1, Value2\"","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":897,"value":"# County Spending Per Student Across ACT Science and Math Scores ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":943,"value":"The two maps below explore both ACT Science and ACT Math scores compared to the amount of money each county spends per student. The county spending data was obtained by collapsing reported school district spending per student into a county average which included all public schools within the county.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":571,"value":"## County Spending per Student & ACT Science Scores","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":14,"value":"chart = {\n const svg = d3.create(\"svg\")\n .attr(\"viewBox\", [0, 0, width, height]);\n\n svg.append(legend)\n .attr(\"transform\", \"translate(75,475)\");\n\n svg.append(\"g\")\n .selectAll(\"path\")\n .data(topojson.feature(polygons, polygons.objects.rural_variables).features)\n .join(\"path\")\n .attr(\"stroke\", \"black\")\n .attr(\"fill\", d => color(data.get(d.properties[idAttribute])))\n .attr(\"d\", path)\n .append(\"title\")\n .text(d => `${d.properties[idAttribute]}, ${format(data.get(d.properties[idAttribute]))}`);\n\n return svg.node();\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":660,"value":"## County Spending per Student & ACT Math Scores","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":664,"value":"chart3 = {\n const svg = d3.create(\"svg\")\n .attr(\"viewBox\", [0, 0, width, height]);\n\n svg.append(legend3)\n .attr(\"transform\", \"translate(75,475)\");\n\n svg.append(\"g\")\n .selectAll(\"path\")\n .data(topojson.feature(polygons, polygons.objects.rural_variables).features)\n .join(\"path\")\n .attr(\"stroke\", \"black\")\n .attr(\"fill\", d => color3(data3.get(d.properties[idAttribute])))\n .attr(\"d\", path)\n .append(\"title\")\n .text(d => `${d.properties[idAttribute]}, ${format3(data3.get(d.properties[idAttribute]))}`);\n\n return svg.node();\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":904,"value":"# Free/Reduced Lunches Across ACT Science and Math Scores ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":948,"value":"The two maps below explore both ACT Science and ACT Math scores compared to the percentage of students **eligible** for free/reduced lunch. As this percentage is based on eligibility, it captures a larger number of students, as the number of students who had free/reduced lunch was likely less than the number of eligible students.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":574,"value":"## Free/Reduced Lunches & ACT Science Scores","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":621,"value":"chart2 = {\n const svg = d3.create(\"svg\")\n .attr(\"viewBox\", [0, 0, width, height]);\n\n svg.append(legend2)\n .attr(\"transform\", \"translate(75,475)\");\n\n svg.append(\"g\")\n .selectAll(\"path\")\n .data(topojson.feature(polygons, polygons.objects.rural_variables).features)\n .join(\"path\")\n .attr(\"stroke\", \"black\")\n .attr(\"fill\", d => color2(data2.get(d.properties[idAttribute])))\n .attr(\"d\", path)\n .append(\"title\")\n .text(d => `${d.properties[idAttribute]}, ${format2(data2.get(d.properties[idAttribute]))}`);\n\n return svg.node();\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":740,"value":"## Free/Reduced Lunches & ACT Math Scores","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":754,"value":"chart4 = {\n const svg = d3.create(\"svg\")\n .attr(\"viewBox\", [0, 0, width, height]);\n\n svg.append(legend4)\n .attr(\"transform\", \"translate(75,475)\");\n\n svg.append(\"g\")\n .selectAll(\"path\")\n .data(topojson.feature(polygons, polygons.objects.rural_variables).features)\n .join(\"path\")\n .attr(\"stroke\", \"black\")\n .attr(\"fill\", d => color4(data4.get(d.properties[idAttribute])))\n .attr(\"d\", path)\n .append(\"title\")\n .text(d => `${d.properties[idAttribute]}, ${format2(data2.get(d.properties[idAttribute]))}`);\n\n return svg.node();\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":569,"value":"# APPENDIX","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":763,"value":"**County Spending per Student & ACT Science Scores**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":480,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":477,"value":"color = {\n return value => {\n if (!value) return \"#ccc\";\n let [a, b] = value;\n return colors[y(b) + x(a) * n];\n };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":474,"value":"format = (value) => {\n if (!value) return \"N/A\";\n let [a, b] = value;\n return `${formatNum(a)} ${data.title[0]}${labels[x(a)] && ` (${labels[x(a)]})`}\n${formatNum(b)} ${data.title[1]}${labels[y(b)] && ` (${labels[y(b)]})`}`;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":209,"value":"x = d3.scaleQuantile(Array.from(data.values(), d => d[0]), d3.range(n))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":204,"value":"y = d3.scaleQuantile(Array.from(data.values(), d => d[1]), d3.range(n))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":467,"value":"data = Object.assign(new Map(d3.csvParse(await FileAttachment(\"bivariate_variables@1.csv\").text(), ({OBJECTID, CountySpendingPerStudent, mean_sci}) => [+OBJECTID, [+CountySpendingPerStudent,+mean_sci]])), {title: [\"$ per Student\", \"ACT Sci Score\"]})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":777,"value":"**County Spending per Student & ACT Math Scores**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":669,"value":"$32","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":676,"value":"color3 = {\n return value => {\n if (!value) return \"#ccc\";\n let [a, b] = value;\n return colors[yc(b) + xc(a) * n];\n };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":684,"value":"format3 = (value) => {\n if (!value) return \"N/A\";\n let [a, b] = value;\n return `${formatNum(a)} ${data3.title[0]}${labels[xc(a)] && ` (${labels[xc(a)]})`}\n${formatNum(b)} ${data3.title[1]}${labels[yc(b)] && ` (${labels[yc(b)]})`}`;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":678,"value":"xc = d3.scaleQuantile(Array.from(data3.values(), d => d[0]), d3.range(n))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":680,"value":"yc = d3.scaleQuantile(Array.from(data3.values(), d => d[1]), d3.range(n))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":686,"value":"data3 = Object.assign(new Map(d3.csvParse(await FileAttachment(\"bivariate_variables@1.csv\").text(), ({OBJECTID, CountySpendingPerStudent, mean_math}) => [+OBJECTID, [+CountySpendingPerStudent, +mean_math]])), {title: [\"$ per Student\", \"ACT Math Score\"]})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":775,"value":"**Free/Reduced Lunches & ACT Science Scores**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":604,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":617,"value":"color2 = {\n return value => {\n if (!value) return \"#ccc\";\n let [a, b] = value;\n return colors[yb(b) + xb(a) * n];\n };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":602,"value":"format2 = (value) => {\n if (!value) return \"N/A\";\n let [a, b] = value;\n return `${formatNum(a)} ${data2.title[0]}${labels[xb(a)] && ` (${labels[xb(a)]})`}\n${formatNum(b)} ${data2.title[1]}${labels[yb(b)] && ` (${labels[yb(b)]})`}`;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":588,"value":"xb = d3.scaleQuantile(Array.from(data2.values(), d => d[0]), d3.range(n))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":586,"value":"yb = d3.scaleQuantile(Array.from(data2.values(), d => d[1]), d3.range(n))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":633,"value":"data2 = Object.assign(new Map(d3.csvParse(await FileAttachment(\"bivariate_variables@1.csv\").text(), ({OBJECTID, rate, mean_sci}) => [+OBJECTID, [+rate, +mean_sci]])), {title: [\"% Free/Reduced\", \"ACT Sci Score\"]})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":766,"value":"**Free/Reduced Lunches & ACT Math Scores**","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":752,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":750,"value":"color4 = {\n return value => {\n if (!value) return \"#ccc\";\n let [a, b] = value;\n return colors[yd(b) + xd(a) * n];\n };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":748,"value":"format4 = (value) => {\n if (!value) return \"N/A\";\n let [a, b] = value;\n return `${formatNum(a)} ${data4.title[0]}${labels[xd(a)] && ` (${labels[xd(a)]})`}\n${formatNum(b)} ${data4.title[1]}${labels[yd(b)] && ` (${labels[yd(b)]})`}`;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":746,"value":"xd = d3.scaleQuantile(Array.from(data4.values(), d => d[0]), d3.range(n))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":744,"value":"yd = d3.scaleQuantile(Array.from(data4.values(), d => d[1]), d3.range(n))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":742,"value":"data4 = Object.assign(new Map(d3.csvParse(await FileAttachment(\"bivariate_variables@1.csv\").text(), ({OBJECTID, rate, mean_math, name}) => [+OBJECTID, [+rate, +mean_math, name]])), {title: [\"% Free/Reduced\", \"ACT Math Score\"]})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":761,"value":"**All Maps:** \nThe below code was constant across all maps. ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":872,"value":"countyNames = Array.from(data4.values(), d => d[2])","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":513,"value":"formatNum = d3.format(\".1f\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":483,"value":"idAttribute = \"OBJECTID\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":430,"value":"polygon_features = topojson.feature(polygons, polygons.objects.rural_variables)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":8,"value":"polygons = FileAttachment(\"rural_variables.json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":486,"value":"path = d3.geoPath().projection(projection)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":462,"value":"//Rotate the map sets the longitude of origin for our UTM projection.\nprojection = d3.geoTransverseMercator().rotate([94,0]).fitExtent([[80, 80], [width, height]], polygon_features);\n//projection = d3.geoTransverseMercator().rotate([87,0]).fitExtent([[10, 10], [width, height]], polygon_features);","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":427,"value":"height = 610","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":424,"value":"width = 875","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":216,"value":"labels = [\"low\", \"\", \"high\"]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":207,"value":"n = Math.floor(Math.sqrt(colors.length))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":359,"value":"// http://www.joshuastevens.net/cartography/make-a-bivariate-choropleth-map/\nschemes = [\n {\n name: \"RdBu\", \n colors: [\n \"#e8e8e8\", \"#e4acac\", \"#c85a5a\",\n \"#b0d5df\", \"#ad9ea5\", \"#985356\",\n \"#64acbe\", \"#627f8c\", \"#574249\"\n ]\n },\n {\n name: \"BuPu\", \n colors: [\n \"#e8e8e8\", \"#ace4e4\", \"#5ac8c8\",\n \"#dfb0d6\", \"#a5add3\", \"#5698b9\", \n \"#be64ac\", \"#8c62aa\", \"#3b4994\"\n ]\n },\n {\n name: \"GnBu\", \n colors: [\n \"#e8e8e8\", \"#b5c0da\", \"#6c83b5\",\n \"#b8d6be\", \"#90b2b3\", \"#567994\",\n \"#73ae80\", \"#5a9178\", \"#2a5a5b\"\n ]\n },\n {\n name: \"PuOr\", \n colors: [\n \"#e8e8e8\", \"#e4d9ac\", \"#c8b35a\",\n \"#cbb8d7\", \"#c8ada0\", \"#af8e53\",\n \"#9972af\", \"#976b82\", \"#804d36\"\n ]\n }\n]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":6,"value":"topojson = require(\"topojson-client@3\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3,"value":"d3 = require(\"d3@5\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W35","stdlib":"1","titling":"auto"}} 30:"$2f:body"