2b:null 2c:["$","title",null,{"children":"Voter participation in Nigeria's presidential elections between 2003 and 2019 | Patrick Oladimeji | Observable"}] 31:T7e6,function renderGeo(geoJson) { const svg = d3.select(DOM.svg(width, height + 10)); var path = d3.geoPath().projection(projection); const getStateColor = (d, i) => d.properties.color; const xValues = geoJson.map((d) => d.x); const xDomain = [d3.min(xValues), d3.max(xValues)]; const delay = d3.scaleLinear().domain(xDomain).range([1000, 5000]); const stateShapes = svg.append("g").selectAll("path").data(geoJson).enter(); const stateGroup = stateShapes .append("g"); stateGroup.append("path") .attr("class", "stateShape") .attr("d", path) .attr("opacity", d => d.properties.winningPercent/100) .attr("fill", getStateColor) .attr("stroke", "#eee") .append("title") .text(d => `${capitalise(d.properties.state)}\n\n ${voteCountFormatter(d.properties.accessorValue)}`); svg.append("g") .append("text") .text(`${geoJson[0].properties.term} Presidential elections`) .attr("x", width) .attr("y", 10) .style("text-anchor", "end") .style("alignment-baseline", "text-before-edge") .style("color", "black") svg.append("g") .append(() => renderPartyLegend(getMainParties(getSelectedPresidentialElectionResults()))); function toCircle(d, i) { return flubber.toCircle(path(d), d.x, d.y, d.properties.radius, { maxSegmentLength: 100 }); } function fromCircle(d, i) { return flubber.fromCircle(d.x, d.y, d.properties.radius, path(d), { maxSegmentLength: 100 }); } const run = (reverse) => { const morph = reverse ? fromCircle : toCircle; svg .selectAll(".stateShape") .interrupt() .transition() .delay((d) => delay(d.x)) .duration(1000) .ease(d3.easeLinear) .attrTween("d", morph) }; const morph = range >= 0.5 ? fromCircle : toCircle; svg .selectAll(".stateShape") .attr("d", (d, i) => { const t = range < 0.5 ? 2 * range : 2* Math.abs(range - 0.5); return morph(d, i)(t) }); return addTooltips(svg.node()); }32:T7fc,function renderGeoForGif(geoJson, label = "") { const svg = d3.select(DOM.svg(width, height)); const projection = d3 .geoIdentity() .reflectY(true) .fitExtent( [[20, 20], [width, height]], { type: "FeatureCollection", features: geoJson }); var path = d3.geoPath().projection(projection); const getStateColor = (d, i) => d.properties.color; const xValues = geoJson.map((d) => d.x); const xDomain = [d3.min(xValues), d3.max(xValues)]; const delay = d3.scaleLinear().domain(xDomain).range([1000, 5000]); svg .append("rect") .attr("width", width) .attr("height", height) .attr("fill", "white") .attr("stroke", "none"); const stateShapes = svg.append("g").selectAll("path").data(geoJson).enter(); stateShapes .append("path") .attr("class", "stateShape") .attr("d", path) .attr("opacity", (d) => d.properties.winningPercent / 100) .style("fill", getStateColor) .style("stroke", "#eee") .append("title") .text((d) => d.properties.accessorValue); svg .append("g") .append("text") .text(`${label}`) .attr("x", 0) .attr("y", 40) .style("color", "black"); function toCircle(d, i) { return flubber.toCircle(path(d), d.x, d.y, d.properties.radius, { maxSegmentLength: 100 }); } function fromCircle(d, i) { return flubber.fromCircle(d.x, d.y, d.properties.radius, path(d), { maxSegmentLength: 100 }); } /** t goes from 0 - 1 at t = 0.5 need to have reached the end of the circle animation so t value passed to morph needs to be 2t at t > 0.5 need to start with the from circle animation so t value passed must be 2 (t - 0.5) */ const run = (t) => { const morph = t < 0.5 ? toCircle : fromCircle; svg .selectAll(".stateShape") .attr("d", (d, i) => { const pathGen = morph(d, i); const mt = t < 0.5 ? 2 * t : 2* Math.abs(t - 0.5); return pathGen(d3.easeExp(mt)); }); return svg.node(); }; return run; }33:T4c2,function renderStaticGeo(geoJson, parties) { const svg = d3.select(DOM.svg(width, height + 10)); var path = d3.geoPath().projection(projection); const getStateColor = (d, i) => d.properties.color; const xValues = geoJson.map((d) => d.x); const xDomain = [d3.min(xValues), d3.max(xValues)]; const delay = d3.scaleLinear().domain(xDomain).range([1000, 5000]); const stateShapes = svg.append("g").selectAll("path").data(geoJson).enter(); const stateGroup = stateShapes .append("g"); stateGroup.append("path") .attr("class", "stateShape") .attr("d", path) .attr("opacity", d => d.properties.winningPercent/100) .attr("fill", getStateColor) .attr("stroke", "#eee") .append("title") .text(d => `${capitalise(d.properties.state)} \n\n ${voteCountFormatter(d.properties.accessorValue)} votes`); svg.append("g") .append("text") .text(`${geoJson[0].properties.term} Presidential elections`) .attr("x", width) .attr("y", 10) .style("text-anchor", "end") .style("alignment-baseline", "text-before-edge") .style("color", "black") svg.append("g") .append(() => renderPartyLegend(parties)); addTooltips(svg.node()); return svg.node() }34:T5b1,function getGeoDataForAccessor(data, accessor = d => d.registeredVoters) { let maxRadius = 50, minRadius = 10; const parties = data[0].rows.map(d => d.Party); let colorScale = d3.scaleOrdinal(parties, d3.schemeCategory10); let radiusScale = d3 .scaleSqrt() .domain(d3.extent(data, accessor)) .range([minRadius, maxRadius]); const stateVoterRegistrationLookup = {}; data.forEach((d) => { stateVoterRegistrationLookup[d.state] = { accessorValue: accessor(d), winningParty: d.winningParty, winningCandidate: d.winningCandidate, winningPercent: d.winningPercent, term: d.term }; }); const projectPoint = (point) => d3GeoProjection.geoProject(point, projection); return statesGeoJSON.features.map((state) => { const { properties } = state; let stateName = cleanStateName(properties.admin1Name); stateName = stateName.toLowerCase(); const computedAttributes = stateVoterRegistrationLookup[stateName]; const centroid = projectPoint( turf.centroid(state.geometry).geometry ).coordinates; return { ...state, x: centroid[0], y: centroid[1], properties: { id: stateName, state: stateName, admin1Name: stateName, centroid, radius: radiusScale(computedAttributes?.accessorValue), color: politicalPartyColors[computedAttributes?.winningParty], ...computedAttributes } }; }); }35:T4be,parseVotes2019 = text => { function readRow(line, header, headerStartIndexes) { let start = line.length -1; let words = []; let count = 0; while(start > -1 && count < header.length) { let currentHeaderStartIndex = headerStartIndexes[header[count]]; let {word, lastIndex} = readCharBackwardsUntil((d, i) => i === currentHeaderStartIndex, start, line); start = lastIndex - 1; words.push(word) count++; //eat all spaces start = readCharBackwardsUntil(d => d !== " ", start, line).lastIndex - 1; } return words.filter(d => !!d); } const lines = text.split('\n').map(d => d.trim()).filter(d => !!d); let currentLineIndex = 0; let line = lines[currentLineIndex].trim().toLowerCase(); while(line !== "voting by state" && currentLineIndex < lines.length) { line = lines[currentLineIndex++].trim().toLowerCase(); } let states = []; for (; currentLineIndex < lines.length; ) { const stateChunk = readUntil(line => line?.startsWith("Total"), currentLineIndex, lines); currentLineIndex = stateChunk.lastIndex + 1; states.push(stateChunk.result); } return states.map(parseStateChunkWithVotesData).filter(d => d.state); }36:T675,function parseStateChunkWithVotesData(lines) { function getValue(line) { if (!line) { return -2; } let [key, rawValue] = line.trim().split(":"); if (!rawValue) { return -1; } let [value] = rawValue .trim() .split(" ") .map((d) => d.trim().replaceAll(",", "")) .filter((d) => !!d); return +value; } if (lines.length < 14) { return {}; } let stateIndex = lines.findLastIndex((d) => d.startsWith("=============")) - 1; let registeredVoters = getValue(lines[stateIndex + 2]); let votesCast = getValue(lines[stateIndex + 3]); let invalidVotes = getValue(lines[stateIndex + 4]); let validVotes = getValue(lines[stateIndex + 5]); let headerIndex = stateIndex + 7; const state = cleanStateName(lines[stateIndex]); const header = readHeader(lines[headerIndex]); const headerStartIndexes = {}; header.forEach( (h) => { headerStartIndexes[h] = lines[headerIndex].indexOf(h) - 1; } ); const rows = []; for (let index = headerIndex + 2; index < lines.length; index++) { const rawRow = lines[index]; if (rawRow.startsWith("-----------")) continue; let row = readRowByColumn(rawRow, header, headerStartIndexes); rows.push(row); } return { state, registeredVoters, votesCast, invalidVotes, validVotes, header, rows: rows.map((row) => { let rowObject = {}; row.forEach((value, index) => { //strip commas and brackets value = value.replaceAll(/[,\)\(]/g, ""); rowObject[header[index]] = isNaN(+value) ? value : +value; }); return rowObject; }) }; }37:[{"id":"46f627ac29ba6b1ef6b67e46b7928abdfc77ca4613be07ba2970bc26a507e6238e7a146825f4c2f8dbf7502c306bee0501a01bc3adf04da775303bee1602f399","href":"https://static.observableusercontent.com/files/46f627ac29ba6b1ef6b67e46b7928abdfc77ca4613be07ba2970bc26a507e6238e7a146825f4c2f8dbf7502c306bee0501a01bc3adf04da775303bee1602f399","name":"nigeria20071.txt","type":"text/plain","lastModified":1667854314643.826,"size":30991},{"id":"7de8521a9d7f0a7a6c77979212481956b9db54663fa1e05d28bbe8fe99017006dc201834159265a54d5099d076ab170f47363aa840a908048913ea2d9812792f","href":"https://static.observableusercontent.com/files/7de8521a9d7f0a7a6c77979212481956b9db54663fa1e05d28bbe8fe99017006dc201834159265a54d5099d076ab170f47363aa840a908048913ea2d9812792f","name":"nigeriapres20032.txt","type":"text/plain","lastModified":1667854314992.119,"size":32341},{"id":"828a08bb7792bb67a5c559101925b149e6185314caabf9b263126b38f88471c818d0e9e3d2abad29cc1dfdd8156b3bd980957188fc12d5553789d54663afa19f","href":"https://static.observableusercontent.com/files/828a08bb7792bb67a5c559101925b149e6185314caabf9b263126b38f88471c818d0e9e3d2abad29cc1dfdd8156b3bd980957188fc12d5553789d54663afa19f","name":"nigeria20112.txt","type":"text/plain","lastModified":1667854314890.741,"size":27352},{"id":"b78d1ce56ac64b1a9eb78e3f01fcd52c1017c6ada2bd300e79ccd092780a947779fadc9dd3cce54181f63e71e6d2c5e849445f7b19506d4b3321ba68973b5c68","href":"https://static.observableusercontent.com/files/b78d1ce56ac64b1a9eb78e3f01fcd52c1017c6ada2bd300e79ccd092780a947779fadc9dd3cce54181f63e71e6d2c5e849445f7b19506d4b3321ba68973b5c68","name":"nigeria20191.txt","type":"text/plain","lastModified":1667854315045.434,"size":39031}] 2f:{"id":"4bed16471107dad3","slug":"voter-participation-in-nigerias-presidential-elections","title":"Voter participation in Nigeria's presidential elections between 2003 and 2019","thumbnail":"4ef58efb3a80e536f48cba6da290a5c88151cf1642623e41addc94ca9e02a9e6","access_level":"public","create_time":"$D2022-11-07T20:51:26.629Z","update_time":"$D2023-01-15T16:54:56.312Z","view_time":null,"first_public_time":"$D2022-11-22T22:52:09.859Z","has_unpublished_edits":null,"fork":false,"stars":2,"starred":false,"owner":{"type":"team","id":"c5d4f97a174f3985","login":"thehogfather","name":"Patrick Oladimeji","avatar_url":"https://avatars-next.observableusercontent.com/ac3fd2571acf0bab3ec00eda7ec786a9d4cfd7f8ba9989fa658a6ba2cae0f35e","tier":"starter_2024"},"version":1229,"publish_version":null,"role":null,"authored":false,"authors":[{"type":"individual","id":"9b1ca4e6242fd32d","login":"thehogfather","name":"Patrick Oladimeji","avatar_url":"https://avatars-next.observableusercontent.com/ac3fd2571acf0bab3ec00eda7ec786a9d4cfd7f8ba9989fa658a6ba2cae0f35e","tier":null},{"type":"individual","id":"9dd1a6f797a181e8","login":"jiyamabo","name":"Jeremiah Iyamabo","avatar_url":"https://avatars-next.observableusercontent.com/d6f5f7e830e6094dae5b290406e301f6726943f7f07c166935a27b3291680289","tier":null}],"members":[{"type":"individual","id":"9dd1a6f797a181e8","login":"jiyamabo","name":"Jeremiah Iyamabo","avatar_url":"https://avatars-next.observableusercontent.com/d6f5f7e830e6094dae5b290406e301f6726943f7f07c166935a27b3291680289","tier":null,"role":"editor"},{"type":"individual","id":"9b1ca4e6242fd32d","login":"thehogfather","name":"Patrick Oladimeji","avatar_url":"https://avatars-next.observableusercontent.com/ac3fd2571acf0bab3ec00eda7ec786a9d4cfd7f8ba9989fa658a6ba2cae0f35e","tier":null,"role":"editor"}],"comments":[],"custom_thumbnail":false,"trashed":false,"lapsed":null,"subscribed":null,"forks":1,"collection":null,"type":"notebook","body":{"titling":"auto","title":"Voter participation in Nigeria's presidential elections between 2003 and 2019","cells":[{"id":0,"value":"# Voter participation in Nigeria's presidential elections between 2003 and 2019\n\nThis notebook visualises the last four presidential elections in Nigeria. The color of each state represents the wining party for that state. The intensity of the color represents how much the state was contested. This is not a static image. It comes alive when you move the slider below. Moving the slider shows how the geographical area of a state compares to the number of votes from that state (for the winning party). This makes it easy to visually compare number of votes from each state, as well as the geographical size of the state.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":944,"value":"viewof range = Inputs.range([0, 0.5], {label: \"Frame\", step: 0.01})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1002,"value":"viewof selectedTerm = Inputs.select([\"2019\", \"2011\", \"2007\", \"2003\"], {label: \"Select a Term\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1008,"value":"renderGeo(applySimulation(getGeoDataForAccessor(getSelectedPresidentialElectionResults(), d => d.winningVotes)))","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1151,"value":"The GIF below renders a shareable looped gif for the selected term","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":830,"value":"{\n await visibility(); // wait until the cell is visible\n const forceData = applySimulation(\n getGeoDataForAccessor(getSelectedPresidentialElectionResults(),\n (d) => d.winningVotes)\n)\n const draw = renderGeoForGif(forceData, `Number of votes for the winning party by state for the ${selectedTerm} presidential elections in Nigeria`);\n return renderGif(invalidation, draw, 4000, { preview: draw(0), fps: 30, pause: 500 });\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1118,"value":"## Voter Apathy\nThe charts below show registered voters in 2003 and 2019 and highlight the proportion people that voted vs those who couldn't exercise their rights to vote.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":602,"value":"{\n const terms = \"2003,2019\".split(\",\")\n const states= Array.from(new Set(voters2003vs2019.map(d => d.state)))\n const data = [];\n voters2003vs2019.forEach(item => {\n data.push({...item, voters: item.registeredVoters - item.votesCast, type: \"Not voted\"});\n data.push({...item, voters: item.votesCast, type: \"Voted\"});\n })\n return Plot.plot({\n width: 800,\n height: 700,\n color: {\n domain: ['Not voted', 'Voted'],\n legend: true\n },\n x: { grid: true, domain: states, label: null, tickRotate: -90},\n y: {\n label: \"Number of People\",\n tickFormat: \"s\",\n grid: true\n },\n fx: {\n tickRotate: 0,\n axis: \"top\"\n },\n facet: {\n data: data,\n y: \"term\",\n label: null,\n marginBottom: 50\n },\n marks: [\n Plot.barY(data, { x: \"state\", y: \"voters\", fill: \"type\" }),\n Plot.ruleY([0])\n ],\n });\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1137,"value":"### Percentage voter turnout\nThe following charts show the same information in percentage. It is clear the percentage turn out to vote for the 2003 presidential election was much higher than the 2019 elections.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":599,"value":"plotYearVsYear(voters2003vs2019, { yAccessor: \"percentTurnOut\", yAxisLabel: 'Percent turnout'})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1140,"value":"### Invalid votes\nFinally we take a look at the percentage of votes that were considered invalid by state. The data shows a higher variation in percentage of invalid votes in 2003 across states compared to 2009. Several states in the south east and south south region got a higher percentage of invalid votes in 2019 than in 2003.","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":595,"value":"plotYearVsYear(voters2003vs2019, { yAccessor: \"percentInvalid\", yAxisLabel: \"Percent Invalid\"})","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1161,"value":"## Credits 📣\n### Data\nThe data used in this notebook were directly sourced from text files hosted by [Adam Carr](http://psephos.adam-carr.net/countries/n/nigeria/). Adam archives election results from different sources. His source for the Nigerian elections was [INEC](https://inecnigeria.org/)\n\n### Prior work\nThis work was inspired by the following notebooks:\n\n* [[this notebook](https://observablehq.com/@karimdouieb/try-to-impeach-this-challenge-accepted)](https://observablehq.com/@karimdouieb/try-to-impeach-this-challenge-accepted)\n* [https://observablehq.com/@mkfreeman/svg-to-gif](https://observablehq.com/@mkfreeman/svg-to-gif)","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1081,"value":"---","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1083,"value":"## Appendix","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1193,"value":"electoralMap2019 = {\n const results2019 = presidentialResults2019.map(t2019Decorator);\n const parties2019 = getMainParties(results2019);\n return renderStaticGeo(getGeoDataForAccessor(results2019, d => d.winningVotes), parties2019)}","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1085,"value":"### Data explorer 2003 & 2019","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":397,"value":"presidentialResults2003","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":407,"value":"presidentialResults2019","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1089,"value":"### Helper functions, variables and other data inspections","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":112,"value":"projection = d3.geoIdentity()\n .reflectY(true)\n \t.fitExtent([[20, 20], [width, height]], statesGeoJSON);","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":591,"value":"function plotYearVsYear(data, { yAccessor, terms = [\"2003\", \"2019\"], yAxisLabel, yDomain }) {\n const states = Array.from(new Set(data.map(d => d.state)));\n return Plot.plot({\n width: 800,\n height: 700,\n color: {\n domain: terms,\n legend: true\n },\n x: { grid: true, domain: states, label: null, tickRotate: -90},\n y: {\n label: yAxisLabel,\n domain: yDomain,\n tickFormat: \"s\",\n grid: true\n },\n fx: {\n tickRotate: -90,\n axis: \"bottom\"\n },\n facet: {\n data: data,\n y: \"term\",\n label: null,\n marginBottom: 50\n },\n marks: [\n Plot.barY(data, { x: \"state\", y: yAccessor, fill: \"term\" }),\n Plot.ruleY([0])\n ]\n });\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":477,"value":"voters2003vs2019 = {\n const data = [\n ...presidentialResults2003.map(t2003Decorator),\n ...presidentialResults2019.map(t2019Decorator)\n ];\n\n return data\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":489,"value":" t2003Decorator = getTermDecorator(\"2003\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":670,"value":"t2007Decorator = getTermDecorator(\"2007\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":672,"value":"t2011Decorator = getTermDecorator(\"2011\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":491,"value":"t2019Decorator = getTermDecorator(\"2019\")","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":484,"value":"getTermDecorator = term => (d) => {\n const sortedRows = d.rows.sort((a, b) => b.Votes - a.Votes);\n const [winner, runnerUp] = sortedRows;\n return {\n ...d,\n percentTurnOut: d.votesCast * 100/d.registeredVoters,\n percentValid: d.validVotes * 100/d.votesCast,\n percentInvalid: d.invalidVotes * 100/d.votesCast,\n term,\n winningParty: winner.Party,\n winningCandidate: winner.Candidate,\n winningPercent: winner['%'],\n winningVotes: winner.Votes,\n runnerUpParty: runnerUp.Party,\n runnerUpCandidate: runnerUp.Candidate,\n runnerUpPercent: runnerUp['%'],\n runnerUpVotes: runnerUp.Votes,\n state: cleanStateName(d.state)\n }\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":314,"value":"presidentialResults2019 = parseVotes2019(nigeria20191)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":70,"value":"presidentialResults2011 = parseVotes(nigeria20112)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":7,"value":"presidentialResults2007 = parseVotes(nigeria2007)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":347,"value":"presidentialResults2003 = parseVotes2019(nigeriapres20032)","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":183,"value":"$31","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":827,"value":"$32","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1198,"value":"$33","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1211,"value":"capitalise = word =>`${word[0].toUpperCase()}${word.substring(1).toLowerCase()}`","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1218,"value":"voteCountFormatter = d3.format(\",.6r\")","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":516,"value":"$34","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":115,"value":"width = 600","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":118,"value":"height= 600;","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1005,"value":"function getSelectedPresidentialElectionResults() {\n switch(selectedTerm) {\n case \"2019\":\n return presidentialResults2019.map(t2019Decorator);\n case \"2011\":\n return presidentialResults2011.map(t2011Decorator);\n case \"2007\":\n return presidentialResults2007.map(t2007Decorator);\n case \"2003\":\n return presidentialResults2003.map(t2003Decorator);\n default:\n return presidentialResults2019.map(t2019Decorator);\n }\n \n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":658,"value":"politicalPartyColors = {\n return {\n ANPP: \"#0000CD\",\n APGA: \"yellow\",\n PDP: \"green\",\n ACN: \"black\",\n CPC: \"#87BEEB\",\n LP: \"red\",\n PPA: \"#87BEEB\",\n AC: \"black\",\n APC: \"#87BEEB\",\n \"Peoples Democratic Party\": \"green\",\n \"All Progressives Congress\": \"#87BEEB\"\n \n } \n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":694,"value":"renderPartyLegend = (parties = Object.keys(politicalPartyColors)) =>\n Plot.plot({\n width: 350,\n x: {\n label: null\n },\n marks: [\n Plot.cell(parties, { x: (d) => d, fill: (d) => politicalPartyColors[d] })\n ]\n })","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1078,"value":"---","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1073,"value":"## Utility function imports","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":1172,"value":"import {addTooltips} from \"@mkfreeman/plot-tooltip\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":832,"value":"import { renderGif } from '@mootari/gif'","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":86,"value":"import { wave4PopulationByState, statesGeoJSON } from \"@thehogfather/nigeria-geojson\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":108,"value":"turf = require(\"@turf/turf@5\");","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":106,"value":"d3GeoProjection = require('d3-geo-projection@2');","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":94,"value":"flubber = require('flubber@0.4.2');","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":756,"value":"import {applySimulation} from \"@karimdouieb/try-to-impeach-this-challenge-accepted\"","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1066,"value":"## Text parsing utilities","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":5,"value":"parseVotes = text => {\n const lines = text.split('\\n').map(d => d.trim()).filter(d => !!d);\n let currentLineIndex = 0;\n let line = lines[currentLineIndex].trim().toLowerCase();\n while(line !== \"voting by state\" && currentLineIndex < lines.length) {\n line = lines[currentLineIndex++].trim().toLowerCase();\n }\n let states = [];\n for (; currentLineIndex < lines.length; ) {\n const stateChunk = readUntil(line => line?.startsWith(\"Total\"), currentLineIndex, lines);\n currentLineIndex = stateChunk.lastIndex + 1;\n states.push(stateChunk.result);\n }\n return states.map(parseStateChunk).filter(d => d.state);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":316,"value":"$35","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":373,"value":"function readUntil(predicate, start, lines) {\n let result = [];\n let index = start;\n while (!predicate(lines[index]) && index < lines.length) {\n result.push(lines[index++]);\n }\n return { result, lastIndex: index };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":368,"value":"function readCharBackwardsUntil(predicate, start, line) {\n let word = \"\";\n let index = start;\n while (index > -1 && !predicate(line[index], index)) {\n index--;\n }\n word = line.substring(index + 1, start + 1);\n return { word, lastIndex: index + 1 };\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":365,"value":"function readRow(line, header) {\n let start = line.length - 1;\n let words = [];\n let count = 0;\n while (start > -1 && count < header.length) {\n let { word, lastIndex } = readCharBackwardsUntil(\n (d) => d === \" \",\n start,\n line\n );\n start = lastIndex - 1;\n words.push(word);\n count++;\n //eat all spaces\n start = readCharBackwardsUntil((d) => d !== \" \", start, line).lastIndex - 1;\n }\n return words.filter((d) => !!d);\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":665,"value":"function readRowByColumn(line, header, headerStartIndexes) {\n let start = line.length -1;\n let words = [];\n let count = 0;\n while(start > -1 && count < header.length) {\n let currentHeaderStartIndex = headerStartIndexes[header[count]];\n let {word, lastIndex} = readCharBackwardsUntil((d, i) => i === currentHeaderStartIndex, start, line);\n start = lastIndex - 1;\n words.push(word)\n count++;\n //eat all spaces\n start = readCharBackwardsUntil(d => d !== \" \", start, line).lastIndex - 1;\n }\n return words.filter(d => !!d);\n }","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":362,"value":"function readHeader(line) {\n let start = line.length -1;\n let words = [];\n while(start > -1) {\n let {word, lastIndex} = readCharBackwardsUntil(d => d === \" \", start, line);\n start = lastIndex - 1;\n words.push(word)\n //eat all spaces\n start = readCharBackwardsUntil(d => d !== \" \", start, line).lastIndex - 1;\n }\n return words.filter(d => !!d);\n }","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":392,"value":"function cleanStateName(state = \"\") {\n let cleanedState = state.trim().replace(\"-\", \" \").toLowerCase().replace(\"state\", \"\").trim();\n if (cleanedState === \"nasarawa\") {\n return \"nassarawa\"\n }\n if (cleanedState.includes(\"federal capital territory\")) {\n return \"abuja\"\n }\n return cleanedState;\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":359,"value":"function parseStateChunk(lines) {\n let stateIndex = lines.findLastIndex(d => d.startsWith(\"=============\")) - 1;\n let headerIndex = stateIndex + 2;\n const state = cleanStateName(lines[stateIndex]);\n const header = readHeader(lines[headerIndex]);\n const rows = [];\n for (let index = headerIndex + 2; index < lines.length; index++) {\n const rawRow = lines[index];\n if (rawRow.startsWith(\"-----------\"))\n continue;\n let row = readRow(rawRow, header);\n rows.push(row);\n }\n return {\n state, header, rows: rows.map(row => {\n let rowObject = {};\n row.forEach((value, index) => {\n //strip commas and brackets\n value = value.replaceAll(/[,\\)\\(]/g, '')\n rowObject[header[index]] = isNaN(+value) ? value : +value;\n })\n return rowObject;\n })\n }\n }","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":381,"value":"$36","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":746,"value":"getMainParties = states => {\n return states[0].rows.map(d => d.Party).filter(d => d && d.toLowerCase().indexOf(\"other\") < 0 )\n}","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":1064,"value":"## Text Imports ","pinned":false,"hidden":false,"mode":"md","author":"$undefined","summary":"$undefined","output":"","database":"$undefined"},{"id":75,"value":"nigeria20191 = FileAttachment(\"nigeria20191.txt\").text()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":69,"value":"nigeria20112 = FileAttachment(\"nigeria20112.txt\").text()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":3,"value":"nigeria2007 = FileAttachment(\"nigeria20071.txt\").text()","pinned":false,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"},{"id":346,"value":"nigeriapres20032 = FileAttachment(\"nigeriapres20032.txt\").text()","pinned":true,"hidden":false,"mode":"ojs","author":"$undefined","summary":"$undefined","output":"$undefined","database":"$undefined"}],"files":"$W37","stdlib":"1"}} 30:"$2f:body"