2c:null 2d:["$","title",null,{"children":"Demographic Update - Unemployment | Hamza Amjad | Observable"}] 32:T4e5,first_paragraph = md`**${ count['negative'] }** states saw a **decrease** in unemployment, while **${count['positive']}** saw an **increase** (${sparkseesaw(count_array, { height: 12, width: 75 })}). ${ largest_movers[0]['state'] } had the largest decrease in unemployment, falling ***${format_percent( largest_movers[0]['percent_change'] / 100 )}*** to ***${format_percent( largest_movers[0]['unemp_rate'] / 100 )}*** (${bar(unempValues(largest_movers[0]), { width: 70, height: 25, highlights: { end: ibm[0].hex } })}), while ${ smallest_movers[0]['state'] } had the largest increase, growing ***${format_percent( smallest_movers[0]['percent_change'] / 100 )}*** to ***${format_percent( smallest_movers[0]['unemp_rate'] / 100 )}*** (${bar(unempValues(smallest_movers[0]), { width: 70, height: 25, highlights: { end: ibm[2].hex } })}). `33:T737,embed_tables = md`

Five Largest Decreases

Five Largest Increases

${viewof tables} ${ largest_movers ? html`

${unempTablebeta( largest_movers.sort((a, b) => a.percent_change - b.percent_change), { color: ibm[0].hex } )}

` : "" } ${ smallest_movers ? html`

${unempTablebeta( smallest_movers.sort((a, b) => b.percent_change - a.percent_change), { color: ibm[2].hex } )}

` : "" }

`34:T51f,function unempTablebeta(data, options = {}) { let { color, preset } = { color: "DarkSlateGray", preset: null, ...options }; if (window.innerWidth < 400) { preset = "mobile"; } let output = table( data.map( ({ state, unemp_rate, unemp_rate_t_minus_1, unemp_rate_t_minus_2, unemp_rate_t_minus_3, unemp_rate_t_minus_4, net_change, percent_change }) => ({ State: md`${state}`, [data_month[0]]: md`${format_percent(unemp_rate_t_minus_1 / 100)}`, [data_month[1]]: md`**${format_percent( unemp_rate / 100 )}**`, "Net \u0394": md`${d3.format(".1f")(net_change)}`, "% \u0394": md`${format_percent(percent_change / 100)}`, Trend: bar( [ unemp_rate_t_minus_4, unemp_rate_t_minus_3, unemp_rate_t_minus_2, unemp_rate_t_minus_1, unemp_rate ], { preset: preset, width: 75, height: 40, highlights: { end: color } } ) }) ), { width: "100%", align: ["left", "center", "center", "center", "center", "center"] } ); return output; }35:[{"id":"76c80a612601474c0dc6fb8919df19fc9aca780e8d557beb33e739985fec9324a5b86e392a5ebad6219e3d9cbfad81116ae0ba52e2217bd5cdca68aac078d246","href":"https://static.observableusercontent.com/files/76c80a612601474c0dc6fb8919df19fc9aca780e8d557beb33e739985fec9324a5b86e392a5ebad6219e3d9cbfad81116ae0ba52e2217bd5cdca68aac078d246","name":"Month-over-Month Change in Unemployment Rate, by State (3).json","type":"application/json","lastModified":1603377866007.118,"size":17780},{"id":"6587e38c47371ed7d80cee5ac9fc41128a5227c8c6d7b8bbcdfea8f61ed31374a2d792868640777c6a4a26d19038f139ebc43751954d2a93d73d7794cb051568","href":"https://static.observableusercontent.com/files/6587e38c47371ed7d80cee5ac9fc41128a5227c8c6d7b8bbcdfea8f61ed31374a2d792868640777c6a4a26d19038f139ebc43751954d2a93d73d7794cb051568","name":"Demographic - 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Unemployment","thumbnail":"79ba7aa004b741a77160689f94d131bf0d29db2631a1112599fd4f5b53ea1288","access_level":"public","create_time":"$D2020-07-30T15:38:20.928Z","update_time":"$D2021-04-29T16:40:44.164Z","view_time":null,"first_public_time":"$D2020-12-03T01:09:42.949Z","has_unpublished_edits":null,"fork":false,"stars":4,"starred":false,"owner":{"type":"team","id":"94ec2c192e76a917","login":"hamzaamjad","name":"Hamza Amjad","avatar_url":"https://avatars-next.observableusercontent.com/5f8ce1ecf5125d1485b2d84a32df05d44154c33343eb404b136c425f2dfb5ebe","tier":"starter_2024"},"version":1493,"publish_version":1493,"role":null,"authored":false,"authors":[{"type":"individual","id":"9efdccbbde682173","login":"hamzaamjad","name":"Hamza Amjad","avatar_url":"https://avatars-next.observableusercontent.com/5f8ce1ecf5125d1485b2d84a32df05d44154c33343eb404b136c425f2dfb5ebe","tier":null}],"members":[{"type":"individual","id":"9efdccbbde682173","login":"hamzaamjad","name":"Hamza Amjad","avatar_url":"https://avatars-next.observableusercontent.com/5f8ce1ecf5125d1485b2d84a32df05d44154c33343eb404b136c425f2dfb5ebe","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":true,"trashed":false,"lapsed":null,"subscribed":null,"forks":6,"collection":{"id":"43e3f0056a38888f","slug":"tiny-charts","title":"Tiny Charts","owner":{"id":"94ec2c192e76a917","login":"hamzaamjad","name":"Hamza Amjad"}},"type":"notebook","body":{"titling":"auto","title":"Demographic Update - Unemployment","cells":[{"id":0,"value":"title = md`\n\n# Demographic Update - Unemployment\n\n#### ${data_month[1]} | Source(s): Bureau of Labor Statistics\n\n

\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":120,"value":"$32","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":573,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1376,"value":"second_paragraph = md`${\n highest_unemp['state']\n} has the highest unemployment rate at ***${\n highest_unemp['unemp_rate']\n}%*** (${bar(unempValues(highest_unemp), {\n width: 70,\n height: 25,\n highlights: { end: ibm[2].hex }\n})}), while ${\n lowest_unemp['state']\n} has the lowest with an unemployment rate of ***${lowest_unemp['unemp_rate']}%*** (${bar(\n unempValues(lowest_unemp),\n { width: 70, height: 25, highlights: { end: ibm[0].hex } }\n)}). `","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1284,"value":"linechart = vl\n .markLine()\n //.data(top_two_states)\n .data(top_two_states.filter(d => d.laus_date > new Date(2000, 0, 1)))\n //.select(\n // vl.selectInterval().bind('scales')\n //.encodings('x') // bind interval selection to scale domains\n //)\n .encode(\n vl.x().fieldT(\"laus_date\"), // date parsing!\n vl.y().fieldQ(\"Unemp Rate\"), //.axis({ format: \"%\" }),\n // vl.tooltip(['name_state', 'laus_date', 'Unemp Rate']),\n vl\n .color()\n .fieldN(\"name_state\")\n .scale({ range: [ibm[2].hex, ibm[0].hex] }) // .sort(vl.max(\"market cap\").order(\"descending\"))\n )\n .config({\n view: { stroke: \"transparent\" },\n // axisY: { title: \"test\" },\n axisX: { title: null },\n header: { title: null },\n legend: { title: null, direction: \"horizontal\", orient: \"top\" }\n })\n .width(\"container\")\n .height(200)\n .render()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1457,"value":"md`\n\n## To-Do\n\n- Handle ties in text\n- Update color encoding for line graph to handle ties\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":591,"value":"viewof tables = {\n let { height } = {\n height: 260\n };\n if (window.innerWidth < 400) {\n height = 145;\n }\n const svg = d3.select(DOM.svg(width, height));\n\n return svg.node();\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":21,"value":"md`## Setup`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":909,"value":"data_month = {\n const current_month = state_data.reduce(function (a, b) { return a.date > b.date ? a.date : b.date; })\n const prior_month = new Date(current_month)\n prior_month.setMonth(prior_month.getMonth() - 1)\n return([prior_month.toLocaleDateString('en-gb',{year: 'numeric',month: 'short',timeZone: 'utc'}),\n current_month.toLocaleDateString('en-gb',{year: 'numeric',month: 'short',timeZone: 'utc'})\n ])\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":4,"value":"today = new Date().toJSON().slice(0,10).replace(/-/g,'/')","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":74,"value":"highest_unemp = state_data.filter(obj => {\n return obj.unemp_rate === Math.max(...state_data.map(o => o.unemp_rate))\n})[0]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":80,"value":"lowest_unemp = state_data.filter(obj => {\n return obj.unemp_rate === Math.min(...state_data.map(o => o.unemp_rate))\n})[0]","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":196,"value":"count = state_data.reduce(function(a, b){\n if (b.net_change < 0) {\n a.negative = ++a.negative || 1;\n } \n if (b.net_change === 0) {\n a.zero = ++a.zero || 1;\n } \n if (b.net_change > 0) {\n a.positive = ++a.positive || 1;\n }\n return a;\n}, {})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":255,"value":"count_array = {\n var array = []\n array.push({\"Decrease\" : count['negative'], \"Increase\" : count['positive']})\n return(array)\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":25,"value":"md`### File Attachments`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":34,"value":"state_data_raw = FileAttachment(\"Month-over-Month Change in Unemployment Rate, by State@3.json\").json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1273,"value":"top_two_states_raw = FileAttachment(\n \"Demographic - States - Top & Bottom Unemployment@6.json\"\n).json()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1277,"value":"top_two_states = {\n var data = [];\n top_two_states_raw.forEach(function(item, index, array) {\n data.push({\n fips_state: top_two_states_raw[index][\"fips_state\"],\n name_state: top_two_states_raw[index][\"name_state\"],\n laus_date: parseTime(top_two_states_raw[index][\"laus_date\"]),\n \"Unemp Rate\": parseInt(top_two_states_raw[index][\"laus_value\"])\n });\n });\n\n // data = data.filter(d => !isNaN(d.laus_value));\n\n return data;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":45,"value":"state_data = {\n var data = []\n state_data_raw.forEach(function(item, index, array) {\n data.push({\n \"state\" : state_data_raw[index][\"state\"],\n \"date\" : parseTime(state_data_raw[index][\"date\"]),\n \"unemp_rate\" : parseFloat(state_data_raw[index][\"unemp_rate\"]),\n \"unemp_rate_t_minus_1\" : parseFloat(state_data_raw[index][\"unemp_rate_t_minus_1\"]),\n \"unemp_rate_t_minus_2\" : parseFloat(state_data_raw[index][\"unemp_rate_t_minus_2\"]),\n \"unemp_rate_t_minus_3\" : parseFloat(state_data_raw[index][\"unemp_rate_t_minus_3\"]),\n \"unemp_rate_t_minus_4\" : parseFloat(state_data_raw[index][\"unemp_rate_t_minus_4\"]),\n \"net_change\" : parseFloat(state_data_raw[index][\"net_change\"]),\n \"percent_change\" : parseFloat(state_data_raw[index][\"percent_change\"]),\n \"percent_change_rank\" : parseInt(state_data_raw[index][\"percent_change_rank\"]),\n \"net_change_rank\" : parseInt(state_data_raw[index][\"net_change_rank\"])\n })\n })\n \n data = data.filter((d) => !isNaN(d.unemp_rate))\n \nreturn data}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":487,"value":"largest_movers = state_data.filter(state_data => state_data.percent_change_rank <= 5)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":490,"value":"smallest_movers = state_data.filter(state_data => state_data.percent_change_rank >= 46)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":51,"value":"md`### Functions & Imports`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1218,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":519,"value":"format_percent = d3.format(Object.assign(d3.formatSpecifier(\"%\"), {align: \">\", precision: d3.precisionFixed(0.1)}))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":98,"value":"function unempValues(x) {\n const unemp = []\n unemp.push(x['unemp_rate_t_minus_4'])\n unemp.push(x['unemp_rate_t_minus_3'])\n unemp.push(x['unemp_rate_t_minus_2'])\n unemp.push(x['unemp_rate_t_minus_1'])\n unemp.push(x['unemp_rate'])\n return unemp\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":50,"value":"parseTime = d3.utcParse(\"%Y-%m-%d\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":47,"value":"d3 = require(\"d3@6\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1002,"value":"import { bar, line, sparkseesaw, table } from \"@hamzaamjad/tiny-charts\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1019,"value":"import {colors, colorboxSmall} from \"@hamzaamjad/color-palettes\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1021,"value":"ibm = colors.color_blind_safe.ibm","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1027,"value":"md`\n\n${colorboxSmall(ibm[0].name, ibm[0].hex)} ${colorboxSmall(ibm[2].name, ibm[2].hex)}\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1286,"value":"import { vl } from \"@vega/vega-lite-api\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"},{"id":1116,"value":"style = html`\n\n`","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","providerMetadata":"$undefined","attachments":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W35","stdlib":"1"}} 31:"$30:body"