34:["$","title",null,{"children":"The Minneapolis Million Dollar Mansion District | Ryan | Observable"}] 3c:T489,md`There's been a lot of talk lately on the *Minneapolis 2040* Comp Plan. The most noteworthy detail in the proposal, and the most controversial, is a plan to relegalize fourplexes city-wide. In a recent City Pages article, *[Don't Fear the Renter](http://www.citypages.com/this-week/dont-fear-the-renter/492453111)*, Ward 13 Councilmember Linea Palmisano stated that many residents in her ward (largely, owners of luxury single family homes) are being shut out of conversations: > “They are basically told it’s just due to their inherent-born racism,” Palmisano says. “It’s a great way to end a conversation.” There's a lot to unpack in those words. There's also some missing context. Ward 13 residents have recently been emailing up a storm of concern over *Minneapolis 2040*, reaching beyond their ward boundaries to all CMs to make their voices of opposition heard. A bike ride through the ward reveals an abundance of the anti-*Minneapolis 2040* red signs which suggest bulldozing will be coming to their neighborhoods. Wards 7 and 13 alike are known to be the font of wealth in Minneapolis. Does that wealth spread beyond those borders?`3d:T490,md`## The Mansion District This is a look at a slice of [2018 Minneapolis Property Assessor](http://opendata.minneapolismn.gov/datasets/assessor-parcel-data) data. Specifically, assessed properties containing single family homes, and which are valued at $1 million or more. Almost all of the properties in this slice of data are located around the lakes. There are some exceptions outside, which on further inspection are miscategorized. The properties in [Lind-Bohanon](http://apps.ci.minneapolis.mn.us/PIApp/GeneralInfoRpt.aspx?pid=1211821220021) belong to a church, those in [Cedar Riverside](http://apps.ci.minneapolis.mn.us/PIApp/GeneralInfoRpt.aspx?pid=2502924320465) are a housing co-op, and similar follows for properties along Hiawatha and in Powderhorn. Looking at the underlying data reveals that these properties contain multiple structures, including single family homes, and the totalled value of all structures and land in that property [is reflected on each structure](http://opendata.minneapolismn.gov/datasets/assessor-parcel-data/data?where=APN%20like%20%27%251211821220021%25%27%20AND%20BUILDINGUSE%20like%20%27%25Single%20Fam.%20Dwlg.%25%27). `3e:T438,md`## What do the numbers really mean? It's should also be no surprise that the two ward CMs with the most resistance to *Minneapolis 2040* happen to preside over the wealthiest wards. It really connects with the context of Ward 5 CM Jeremiah Ellison's [quote in CP][cp]: > “Upper-middle-class folks have the flexibility to engage in a process like this,” says Council Member Jeremiah Ellison, who represents a big chunk of north Minneapolis. [cp]: http://www.citypages.com/this-week/dont-fear-the-renter/492453111 Though it's impossible to say whether the people making the most noise are the ones whose homes are on the map above, the connection between wealth and concern over Minneapolis 2040 is clear. Yet even if most of the opposition is coming from the wealthiest wards, and that opposition is no doubt a small subset of ward residents: it's all about who has the time and ability to engage. In the end, the numbers above show a lot of money– almost beyond comprehension of human scale. If you're still mystified, this WedgeLIVE infographic is there for you:`3f:T832,doValues = (limit = 999999, displayWardOne = true) => { function _filter(p) { return parseInt(p.TOTALVALUE) >= limit && p.BUILDINGUSE == 'Single Fam. Dwlg.'; } function getPair(p) { return ["" + p.WARD, p.APN, parseInt(p.TOTALVALUE)]; } var mansions_by_ward = _.groupBy( _.map( _.filter( assessor_csv , _filter ) , getPair ) , (w) => { return w[0] } ); // list of pairs [ward, apn, totalvalue] function unique(elem) { // -> [apn, totalvalue] var elems = _.map(elem, (e) => { return [e[1], e[2]] ; }); // -> {apn: [apn, totalvalue]} var es = _.groupBy(elems, (e) => { return e[0] }); // -> [[apn, totalvalue]] (uniqued) var mm = _.map(es, (ee, key) => { return [key, _.first(ee)[1]] }); return mm; } // [key, [[apn, value]]] function toDict(ee) { var ward_key = ee[0]; var sfhs = _.first(_.where(sfhs_per_ward, {ward: ward_key})) || {}; return { ward: ee[0] , properties: ee[1].length , sfhs: sfhs.properties || 0 , sum: _.reduce( _.map( ee[1], (e) => { return e[1] }) , (m, n) => { return m + n } , 0 ) } } if (displayWardOne) { var wone_sfhs = _.first(_.where(sfhs_per_ward, {ward: "1"})) || {}; var ward_1 = { ward: "1", properties: 0, sfhs: wone_sfhs.properties, sum: 0, percent: 0, } } var arr = _.map(mansions_by_ward, (elem, key) => { return toDict([key, unique(elem)]); }); var total = _.reduce(_.pluck(arr, 'sum'), (a,b) => {return a+b}, 0); var with_percents = _.map(arr, (g) => { g.percent = (g.sum/total)*100; return g}); if (displayWardOne) { var ws = [ward_1]; var ws = ws.concat(with_percents); return ws; } else { return with_percents; } }40:T618,countSFHs = () => { function _filter(p) { return p.BUILDINGUSE == 'Single Fam. Dwlg.'; } function getPair(p) { return ["" + p.WARD, p.APN, parseInt(p.TOTALVALUE)]; } var sfhs_by_ward = _.groupBy( _.map( _.filter( assessor_csv , _filter ) , getPair ) , (w) => { return w[0] } ); // list of pairs [ward, apn, totalvalue] function unique(elem) { // -> [apn, totalvalue] var elems = _.map(elem, (e) => { return [e[1], e[2]] ; }); // -> {apn: [apn, totalvalue]} var es = _.groupBy(elems, (e) => { return e[0] }); // -> [[apn, totalvalue]] (uniqued) var mm = _.map(es, (ee, key) => { return [key, _.first(ee)[1]] }); return mm; } // [key, [[apn, value]]] function toDict(ee) { return { ward: ee[0] , properties: ee[1].length , sum: _.reduce( _.map( ee[1], (e) => { return e[1] }) , (m, n) => { return m + n } , 0 ) } } var arr = _.map(sfhs_by_ward, (elem, key) => { return toDict([key, unique(elem)]); }); var total = _.reduce(_.pluck(arr, 'sum'), (a,b) => {return a+b}, 0); var with_percents = _.map(arr, (g) => { g.percent = (g.sum/total)*100; return g}); return with_percents; }41:T840,function domap(topology_data, zoomable = true, visibility = () => Promise.resolve()) { const [svg, gspace] = makeSvg(zoomable); visibility().then(() => { var projection = d3.geoIdentity() .scale(1); var path = d3.geoPath() .projection(projection); var x = d3.scaleLinear() .domain([0, 6]) .rangeRound([100, 360]); var color = d3.scaleThreshold() .domain(d3.range(0, 6)) .range(d3scale.schemeReds[7]); function getColor(x) { if (x > 0) { return color(x); } else { return "#FFFFFF"; } } var g = svg.append("g") .attr("class", "key") .attr("transform", "translate(0,40)"); gspace.append("path") .datum(topojson.feature(topology_data, topology_data.objects.zones)) .attr("fill", "none") .attr("stroke", "#333") .attr("stroke-opacity", .7) .attr("d", path); gspace.append("path") .datum(topojson.feature(topology_data, topology_data.objects.city)) .attr("fill", "none") .attr("stroke", "#00F") .attr("stroke-opacity", .5) .attr("d", path); gspace.append('g') .attr('class', 'property') .selectAll('circle') .data(topojson.feature(topology_data, topology_data.objects.mansions).features) .enter().append('circle') .attr('class', 'property-mansion') .attr("stroke", "#F00") .attr("fill", "#F00") .attr("fill-opacity", "1") .attr("stroke-width", "2px") .attr("cx", function (d) { return d.geometry.coordinates[0]; }) .attr("stroke", "#F00") .attr("cy", function (d) { return d.geometry.coordinates[1]; }) .attr("data-pid", function (d) { return d.properties.APN; }) .attr("data-address", function (d) { return d.properties.Address; }) .attr("r", 2); }); return svg.node(); }42:[] 38:{"id":"66b336f1c6ad7015","slug":"minneapolis-million-dollar-mansion-district","title":"The Minneapolis Million Dollar Mansion District","thumbnail":"b95aa7ac65ef121372f7969833e6416017704f5dd4a7e053b239fa84b93f71e2","access_level":"public","create_time":"$D2018-09-06T22:09:29.155Z","update_time":"$D2019-04-01T15:24:19.534Z","view_time":null,"first_public_time":"$D2018-09-07T01:57:57.181Z","has_unpublished_edits":null,"fork":false,"stars":1,"starred":false,"owner":{"type":"team","id":"300a5f6e8ec670b2","login":"rtxanson","name":"Ryan","avatar_url":"https://avatars-next.observableusercontent.com/31dfeee1a0a3f091fa77125a08cb160657dd323cf331488ff174a25706efd2bd","tier":"starter_2024","bio":"","followed_by_you":false,"follows_you":false},"version":630,"publish_version":630,"role":null,"authored":false,"authors":[{"type":"individual","id":"d54c7e46018f2e02","login":"rtxanson","name":"Ryan","avatar_url":"https://avatars-next.observableusercontent.com/31dfeee1a0a3f091fa77125a08cb160657dd323cf331488ff174a25706efd2bd","tier":null,"bio":"","followed_by_you":false,"follows_you":false}],"members":[{"type":"individual","id":"d54c7e46018f2e02","login":"rtxanson","name":"Ryan","avatar_url":"https://avatars-next.observableusercontent.com/31dfeee1a0a3f091fa77125a08cb160657dd323cf331488ff174a25706efd2bd","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":3,"collection":{"id":"73c83c0d343b187b","slug":"minneapolis-data-maps","title":"Minneapolis data maps","owner":{"id":"300a5f6e8ec670b2","login":"rtxanson","name":"Ryan"}},"type":"notebook","body":{"titling":"auto","title":"The Minneapolis Million Dollar Mansion District","cells":[{"id":0,"value":"md`# The Minneapolis Million Dollar Mansion District`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":470,"value":"md`## Our city has around 83,000 single family homes. \n## Of these, 1% are worth more than a million.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":128,"value":"$3c","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":432,"value":"$3d","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":17,"value":"domap(topology, false)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":176,"value":"md`## Breakdown of property wealth\n\nCombined the red dots on the map bring in just over a billion in value: **${d3.format(\"($,.2f\")(total_amount)}** total, split amongst ${_.reduce(_.pluck(values_by_ward, 'properties'), (a,b) => {return a+b}, 0)} properties.\n\nThe map shows clearly that almost all of this is coming from wards 7 and 13. Following is the breakdown per ward of: the amount of $1 million properties per ward, all single family homes in the ward, the sum of $1m+ values, and what percentage of the city share of $1 million the ward contains.\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":240,"value":"table(values_by_ward, {\n sortable: false,\n columns: {\n ward: {\n }, \n percent: {\n title: \"% of city $1M+ 🏡\",\n formatter: (val, i) => {\n return html`

${i == 0 ? d3.format('.0%')(val / 100) : d3.format('.2%')(val / 100)}\n

`;\n }\n },\n properties: {\n formatter: (val) => {\n return html`${val}`;\n },\n title: \"$1m+ 🏡\",\n },\n sum: {\n title: \"Sum of $1m+ 🏡\",\n formatter: (val) => {\n return html`${val.toFixed(2).replace(/\\d(?=(\\d{3})+\\.)/g, '$&,')}`;\n }\n }, \n sfhs: {\n title: \"Total 🏡\",\n },\n\n }\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":370,"value":"md`## Lowering the bar to $900,000`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":349,"value":"md`In [the same City Pages article][cp], Ward 7 Council Member Goodman voiced concern about a plan to legalize fourplexes city-wide.\n\n> “If somebody lives in a house they bought 30 or 40 years ago for $300,000,” [Goodman] says, “and it’s now valued at $900,000, and they can no longer afford the property taxes on it, that’s often the cause of people moving.”\n\n [cp]: http://www.citypages.com/this-week/dont-fear-the-renter/492453111\n\nIf we adjust the calculation to also include properties with a value of $900k and greater, the total value of included properties comes to: **${d3.format(\"($,.2f\")(total_amount_ninehundred)}**, spread amongst ${_.reduce(_.pluck(ninehundredk_values, 'properties'), (a,b) => {return a+b}, 0)} properties. Looks like plenty of these $900k properties are already there!\n\nFollowing is a ward-by-ward breakdown of >$900k properties.\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":355,"value":"table(ninehundredk_values, {\n sortable: false,\n columns: {\n ward: {\n }, \n percent: {\n title: \"% of city $900k+ 🏡\",\n formatter: (val, i) => {\n return html`

${i == 0 ? d3.format('.0%')(val / 100) : d3.format('.2%')(val / 100)}\n

`;\n }\n },\n properties: {\n formatter: (val) => {\n return html`${val}`;\n },\n title: \"$900k+ 🏡\",\n },\n sum: {\n formatter: (val) => {\n return html`${val.toFixed(2).replace(/\\d(?=(\\d{3})+\\.)/g, '$&,')}`;\n }\n }, \n sfhs: {\n title: \"total 🏡\",\n },\n\n }\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":523,"value":"md`## Play with the data\n\nAdjust the slider to see the numbers at different property values.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":473,"value":"viewof zoom_and_enhance = slider({\n min: 0, \n max: 5000000, \n value: mutable user_value, \n step: 10000,\n format: \",\",\n description:\n \"Minimum property value.\"\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":603,"value":"md`The total value of ${_.reduce(_.pluck(user_values, 'properties'), (a,b) => {return a+b}, 0)} properties valued at *${nicemoney(user_value)}* or more: **${nicemoney(total_amount_uservalues)}**.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":518,"value":"table(user_values, {\n sortable: false,\n columns: {\n ward: {\n }, \n percent: {\n title: `% of city ${nice_user_value}+ 🏡`,\n formatter: (val, i) => {\n return html`

${i == 0 ? d3.format('.0%')(val / 100) : d3.format('.2%')(val / 100)}\n

`;\n }\n },\n properties: {\n formatter: (val) => {\n return html`${val}`;\n },\n title: `${nice_user_value}+ 🏡`,\n },\n sum: {\n formatter: (val) => {\n return html`${nicemoney(val)}`;\n }\n }, \n sfhs: {\n title: \"total 🏡\",\n },\n\n }\n})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":417,"value":"$3e","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":421,"value":"tweet(\"1037558741820956672\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":158,"value":"md`## Data Sources\n\n* [Minneapolis Assessor Parcel Data](http://opendata.minneapolismn.gov/datasets/assessor-parcel-data)\n* [MNLeg GIS: 2010 Census Blocks](https://www.gis.leg.mn/metadata/blks2010.htm)\n* [Hennepin County Address Points](https://www.hennepin.us/gisopendata)\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":283,"value":"md`## Appendix\nYou can ignore the stuff after this unless you really need to know. Following is all the code to compile the above.`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":333,"value":"md`### Raw numbers`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":255,"value":"total_amount = _.reduce(_.pluck(values_by_ward, 'sum'), (a,b) => {return a+b}, 0)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":346,"value":"total_amount_ninehundred = _.reduce(_.pluck(ninehundredk_values, 'sum'), (a,b) => {return a+b}, 0)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":607,"value":"total_amount_uservalues = _.reduce(_.pluck(user_values, 'sum'), (a,b) => {return a+b}, 0)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":337,"value":"ninehundredk_values = doValues(900000)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":368,"value":"values_by_ward = doValues(999999)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":335,"value":"$3f","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":374,"value":"sfhs_per_ward = countSFHs()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":372,"value":"$40","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":186,"value":"assessor_csv = (await d3.csv(\"https://gist.githubusercontent.com/rtxanson/c0327e8a92b3ec1c3af46ddbf72e98ca/raw/e989074402aac24c05677e6da337cccac0a96323/assessor-filtered.csv\")) // https://opendata.arcgis.com/datasets/1eb6569c647e4e95ad9ab69c930f15ca_0.csv","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":530,"value":" mutable user_values = doValues(user_value, false)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":534,"value":"mutable user_value = 500000","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":595,"value":"nicemoney = (g) => { \n if (g > 999999) {\n var fstr = '($0.0a)';\n } else {\n var fstr = '($0a)';\n }\n return numeral(g).format(fstr); \n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":591,"value":"mutable nice_user_value = nicemoney(user_value)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":537,"value":"{\n if (zoom_and_enhance !== mutable user_value) {\n mutable user_value = zoom_and_enhance;\n mutable user_values = doValues(zoom_and_enhance, false);\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":320,"value":"md`### Map stuff`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":2,"value":"$41","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":103,"value":"makeSvg = (zoomable = true) => {\n const svg = d3.select(DOM.svg(960 / 1.5, 1100 / 1.5));\n const gspace = svg.append(\"g\");\n // svg.gspace = gspace;\n \n var zoom = d3.zoom()\n .on(\"zoom\", zoomed);\n \n var initialTransform = d3.zoomIdentity\n .scale(1);\n\n svg\n .attr('style', 'background-color: #FFF');\n \n if (zoomable) {\n svg\n .on(\"click\", stopped, true)\n .call(zoom)\n .call(zoom.transform, initialTransform);\n }\n \n function zoomed() {\n var transform = d3.event.transform; \n\n if (typeof gspace !== 'undefined') {\n gspace.style(\"stroke-width\", 1.5 / transform.k + \"px\");\n gspace.attr(\"transform\", transform);\n }\n }\n\n function stopped() {\n if (d3.event.defaultPrevented) d3.event.stopPropagation();\n }\n\n return [svg, gspace];\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":67,"value":"projection = d3.geoIdentity()\n .scale(1)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":72,"value":"path = d3.geoPath()\n .projection(projection)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":22,"value":"topology = (await d3.json(\"https://gist.githubusercontent.com/rtxanson/c0327e8a92b3ec1c3af46ddbf72e98ca/raw/cd47fe9f16c6889c79e3099c4a967d7fdfb470b1/topo.json\"))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":305,"value":"md`### Dependencies`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":9,"value":"d3 = require(\"d3@5\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":48,"value":"d3scale = require('d3-scale-chromatic@v1')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":7,"value":"topojson = require(\"topojson@2\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":182,"value":"_ = require('underscore')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":178,"value":"import {table} from \"@tmcw/tables@444\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":423,"value":"import {tweet} from \"@mbostock/tweet\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":482,"value":"import {slider} from \"@jashkenas/inputs\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":558,"value":"numeral = require('numeraljs')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","tool":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W42","stdlib":"1"}} 33:null