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<!DOCTYPE html>
<html lang="el">
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<title>Μέσο Ποσοστό Συμμετοχής στις Ελληνικές Δημοτικές Εκλογές</title>
<script src="https://d3js.org/d3.v7.min.js"></script>
<script src="https://d3js.org/d3-dsv.v2.min.js"></script>
<link href="https://fonts.googleapis.com/css2?family=Roboto:wght@300;400;700&display=swap" rel="stylesheet">
<style>
body {
font-family: 'Roboto', sans-serif;
line-height: 1.6;
color: #333;
max-width: 100%;
max-width: 1200px;
margin: 0 auto;
padding: 20px;
}
h1,
h2 {
text-align: center;
}
.line {
fill: none;
stroke-width: 2px;
}
.axis {
font: 10px 'Roboto', sans-serif;
}
.axis path,
.axis line {
fill: none;
stroke: #000;
shape-rendering: crispEdges;
}
.tooltip {
position: absolute;
background-color: white;
border: 1px solid #ddd;
padding: 10px;
pointer-events: none;
font-size: 14px;
}
#chart {
display: flex;
justify-content: center;
overflow-x: auto;
-webkit-overflow-scrolling: touch;
}
#chart svg {
min-width: 900px;
/* Minimum width to ensure readability */
}
#explanation {
max-width: 800px;
margin: 0 auto;
text-align: justify;
padding: 20px;
}
@media screen and (max-width: 800px) {
#chart {
margin: 0 -20px;
/* Negative margin to allow full-width scrolling */
padding: 0 20px;
}
}
</style>
</head>
<body>
<h1>Συμμετοχή στις Ελληνικές Δημοτικές Εκλογές</h1>
<div id="chart"></div>
<div id="explanation">
<p>Αυτό το γράφημα δείχνει το μέσο ποσοστό συμμετοχής στις ελληνικές δημοτικές εκλογές από το 1951 έως το 2019.
Οι δήμοι κατηγοριοποιούνται σε τρεις ομάδες με βάση το μέγεθός τους:</p>
<ul>
<li><strong>Μικροί δήμοι:</strong> Το κατώτερο τρίτο των δήμων με βάση τον αριθμό των εγγεγραμμένων
ψηφοφόρων.</li>
<li><strong>Μεσαίοι δήμοι:</strong> Το μεσαίο τρίτο των δήμων με βάση τον αριθμό των εγγεγραμμένων
ψηφοφόρων.</li>
<li><strong>Μεγάλοι δήμοι:</strong> Το ανώτερο τρίτο των δήμων με βάση τον αριθμό των εγγεγραμμένων
ψηφοφόρων.</li>
</ul>
<p>Το γράφημα εμφανίζει το μέσο ποσοστό συμμετοχής για κάθε ομάδα, μαζί με το 25ο και 75ο εκατοστημόριο για να
δείξει την κατανομή των ποσοστών συμμετοχής εντός κάθε ομάδας.</p>
<footer style="margin-top: 20px; font-size: 12px; text-align: center; color: #666;">
<p>
Δεδομένα από τον <a href="https://www.eetaa.gr/" target="_blank" rel="noopener noreferrer">ΕΕΤΑΑ</a>,
κώδικας στο <a href="https://github.com/christosporios/municipalities-gr" target="_blank"
rel="noopener noreferrer">GitHub</a>
</p>
</footer>
</div>
<script>
// Load and process the data
d3.csv("./data/elections_municipalities_only.csv").then(data => {
// Filter for municipalities (Δήμοι) and communities (Κοινότητες)
const municipalitiesData = data.filter(d => d['ΟΝΟΜΑΣΙΑ ΟΤΑ'].startsWith('Δ.') || d['ΟΝΟΜΑΣΙΑ ΟΤΑ'].startsWith('Κ.'));
console.log(`There are ${municipalitiesData.length} municipality-years in the data.`)
// Data health check - count distinct municipalities in 2023
const municipalities2023 = municipalitiesData.filter(d => d['ΕΤΟΣ'] === '2023');
const distinctMunicipalities2023 = new Set(municipalities2023.map(d => d['ΟΝΟΜΑΣΙΑ ΟΤΑ'])).size;
if (distinctMunicipalities2023 === 332) {
console.log('Health check passed: Found expected 332 distinct municipalities in 2023');
} else {
console.warn(`Health check failed: Found ${distinctMunicipalities2023} distinct municipalities in 2023, expected 332`);
}
// Group data by year
const dataByYear = d3.group(municipalitiesData, d => d['ΕΤΟΣ']);
console.log(`There are ${dataByYear.size} years in the data.`)
// Function to calculate percentiles
const calculatePercentiles = (arr, accessor) => {
const sorted = arr.sort((a, b) => accessor(a) - accessor(b));
const len = sorted.length;
return {
small: accessor(sorted[Math.floor(len / 3)]),
medium: accessor(sorted[Math.floor(2 * len / 3)])
};
};
// Process data for each year
const processedData = Array.from(dataByYear, ([year, yearData]) => {
console.log(`Processing data for year ${year}...`)
const percentiles = calculatePercentiles(yearData, d => {
const value = +d['ΕΓΓΕΓΡΑΜΜΕΝΟΙ (Α)'];
if (isNaN(value)) {
console.warn(`Invalid 'ΕΓΓΕΓΡΑΜΜΕΝΟΙ (Α)' value for year ${year}`);
return 0;
}
return value;
});
console.log(`Percentiles for year ${year}:`, percentiles)
const categorizedData = yearData.map(d => {
const registered = +d['ΕΓΓΕΓΡΑΜΜΕΝΟΙ (Α)'];
if (isNaN(registered)) {
console.warn(`Invalid 'ΕΓΓΕΓΡΑΜΜΕΝΟΙ (Α)' value for year ${year}`);
return null;
}
return {
...d,
category: registered <= percentiles.small ? 'small' :
registered <= percentiles.medium ? 'medium' : 'large'
};
}).filter(d => d !== null);
const calculateAverageAndQuantiles = (category) => {
const filtered = categorizedData.filter(d => d.category === category);
const participationRates = filtered.map(d => {
const registered = +d['ΕΓΓΕΓΡΑΜΜΕΝΟΙ (Α)'];
const voted = +d['ΨΗΦΙΣΑΝΤΕΣ (Α)'];
if (isNaN(registered) || isNaN(voted) || registered === 0) {
console.warn(`Invalid data for year ${year}, category ${category}`);
return null;
}
return voted / registered;
}).filter(rate => rate !== null);
const average = d3.mean(participationRates);
const q25 = d3.quantile(participationRates, 0.25);
const q75 = d3.quantile(participationRates, 0.75);
return { average, q25, q75 };
};
return {
year: +year,
small: calculateAverageAndQuantiles('small'),
medium: calculateAverageAndQuantiles('medium'),
large: calculateAverageAndQuantiles('large')
};
}).sort((a, b) => a.year - b.year);
// Filter out years with no data
const validData = processedData.filter(d => d.small.average > 0 && d.medium.average > 0 && d.large.average > 0);
// Set up chart dimensions
const margin = { top: 40, right: 80, bottom: 60, left: 60 };
const width = 900 - margin.left - margin.right;
const height = 500 - margin.top - margin.bottom;
// Create SVG element
const svg = d3.select("#chart")
.append("svg")
.attr("width", width + margin.left + margin.right)
.attr("height", height + margin.top + margin.bottom)
.append("g")
.attr("transform", `translate(${margin.left},${margin.top})`);
// Set up scales
const x = d3.scaleLinear()
.domain(d3.extent(validData, d => d.year))
.range([0, width]);
const yMin = d3.min(validData, d => Math.min(d.small.q25, d.medium.q25, d.large.q25)) - 0.01;
const yMax = d3.max(validData, d => Math.max(d.small.q75, d.medium.q75, d.large.q75)) + 0.01;
const y = d3.scaleLinear()
.domain([Math.max(0, yMin), Math.min(1, yMax)])
.range([height, 0]);
// Create line generators with curve
const createLine = (key) => d3.line()
.x(d => x(d.year))
.y(d => y(d[key].average))
.curve(d3.curveCatmullRom.alpha(0.5));
// Create area generators for quantiles
const createArea = (key) => d3.area()
.x(d => x(d.year))
.y0(d => y(d[key].q25))
.y1(d => y(d[key].q75))
.curve(d3.curveCatmullRom.alpha(0.5));
const categories = ['small', 'medium', 'large'];
const colors = ['#ff6b6b', '#feca57', '#48dbfb'];
// Add X axis
svg.append("g")
.attr("class", "axis")
.attr("transform", `translate(0,${height})`)
.call(d3.axisBottom(x)
.tickValues(validData.map(d => d.year))
.tickFormat(d3.format("d")));
// Add Y axis
svg.append("g")
.attr("class", "axis")
.call(d3.axisLeft(y).tickFormat(d3.format(".0%")));
// Add horizontal dotted lines per 10 percentage points
const yTicks = y.ticks(10);
svg.selectAll(".horizontalGrid")
.data(yTicks)
.enter()
.append("line")
.attr("class", "horizontalGrid")
.attr("x1", 0)
.attr("x2", width)
.attr("y1", d => y(d))
.attr("y2", d => y(d))
.attr("fill", "none")
.attr("stroke", "#ddd")
.attr("stroke-width", 1)
.attr("stroke-dasharray", "3,3");
// Add vertical lines for election years
svg.selectAll(".election-year-line")
.data(validData.map(d => d.year))
.enter().append("line")
.attr("class", "election-year-line")
.attr("x1", d => x(d))
.attr("x2", d => x(d))
.attr("y1", 0)
.attr("y2", height)
.attr("stroke", "#dfe6e9")
.attr("stroke-width", 1)
.attr("stroke-dasharray", "5,5");
// Add the quantile areas
categories.forEach((category, i) => {
svg.append("path")
.datum(validData)
.attr("class", `area ${category}`)
.attr("d", createArea(category))
.attr("fill", colors[i])
.attr("fill-opacity", 0.1);
});
// Add the quantile lines
categories.forEach((category, i) => {
svg.append("path")
.datum(validData)
.attr("class", `quantile-line ${category}`)
.attr("d", d3.line()
.x(d => x(d.year))
.y(d => y(d[category].q25))
.curve(d3.curveCatmullRom.alpha(0.5)))
.attr("stroke", colors[i])
.attr("stroke-width", 1)
.attr("stroke-dasharray", "5,5")
.attr("fill", "none");
svg.append("path")
.datum(validData)
.attr("class", `quantile-line ${category}`)
.attr("d", d3.line()
.x(d => x(d.year))
.y(d => y(d[category].q75))
.curve(d3.curveCatmullRom.alpha(0.5)))
.attr("stroke", colors[i])
.attr("stroke-width", 1)
.attr("stroke-dasharray", "5,5")
.attr("fill", "none");
});
// Add the line paths
categories.forEach((category, i) => {
svg.append("path")
.datum(validData)
.attr("class", `line ${category}`)
.attr("d", createLine(category))
.attr("stroke", colors[i])
.attr("stroke-width", 2)
.attr("fill", "none");
});
// Add tooltips
const tooltip = d3.select("body").append("div")
.attr("class", "tooltip")
.style("opacity", 0);
categories.forEach((category, i) => {
svg.selectAll(`.dot-${category}`)
.data(validData)
.enter().append("circle")
.attr("class", `dot-${category}`)
.attr("cx", d => x(d.year))
.attr("cy", d => y(d[category].average))
.attr("r", 2)
.attr("fill", colors[i])
.on("mouseover", (event, d) => {
tooltip.transition()
.duration(200)
.style("opacity", .9);
tooltip.html(`Έτος: ${d.year}<br/>${category === 'small' ? 'Μικροί' : category === 'medium' ? 'Μεσαίοι' : 'Μεγάλοι'} Δήμοι:<br/>
Μέσος Όρος: ${(d[category].average * 100).toFixed(2)}%<br/>
25ο Εκατοστημόριο: ${(d[category].q25 * 100).toFixed(2)}%<br/>
75ο Εκατοστημόριο: ${(d[category].q75 * 100).toFixed(2)}%`)
.style("left", (event.pageX + 5) + "px")
.style("top", (event.pageY - 28) + "px");
// Highlight current group
svg.selectAll(`.line:not(.${category}), .area:not(.${category}), .quantile-line:not(.${category})`)
.transition()
.duration(200)
.style("opacity", 0.1);
})
.on("mouseout", () => {
tooltip.transition()
.duration(500)
.style("opacity", 0);
// Restore all groups
svg.selectAll(".line, .area, .quantile-line")
.transition()
.duration(200)
.style("opacity", 1);
});
});
// Add legend
const legend = svg.append("g")
.attr("font-family", "Roboto, sans-serif")
.attr("font-size", 10)
.attr("text-anchor", "end")
.selectAll("g")
.data(categories.map((category, i) => ({ category, color: colors[i] })))
.enter().append("g")
.attr("transform", (d, i) => `translate(0,${i * 20})`);
legend.append("rect")
.attr("x", width + 20)
.attr("width", 19)
.attr("height", 19)
.attr("fill", d => d.color);
legend.append("text")
.attr("x", width + 15)
.attr("y", 9.5)
.attr("dy", "0.32em")
.text(d => d.category === 'small' ? 'Μικροί Δήμοι' : d.category === 'medium' ? 'Μεσαίοι Δήμοι' : 'Μεγάλοι Δήμοι');
// Add chart title
svg.append("text")
.attr("x", width / 2)
.attr("y", -margin.top / 2)
.attr("text-anchor", "middle")
.style("font-size", "16px")
.style("font-weight", "bold")
.text("Συμμετοχή στις Δημοτικές Εκλογές");
// Add axis labels
svg.append("text")
.attr("transform", `translate(${width / 2}, ${height + margin.bottom - 10})`)
.style("text-anchor", "middle")
.text("Έτος");
svg.append("text")
.attr("transform", "rotate(-90)")
.attr("y", 0 - margin.left)
.attr("x", 0 - (height / 2))
.attr("dy", "1em")
.style("text-anchor", "middle")
.text("Ποσοστό Συμμετοχής");
// Print examples
const latestYear = d3.max(municipalitiesData, d => d['ΕΤΟΣ']);
const latestYearData = municipalitiesData.filter(d => d['ΕΤΟΣ'] === latestYear);
const latestYearPercentiles = calculatePercentiles(latestYearData, d => {
const value = +d['ΕΓΓΕΓΡΑΜΜΕΝΟΙ (Α)'];
if (isNaN(value)) {
console.warn(`Invalid 'ΕΓΓΕΓΡΑΜΜΕΝΟΙ (Α)' value for latest year ${latestYear}`);
return 0;
}
return value;
});
const getExamples = (category) => {
let filtered;
if (category === 'small') {
filtered = latestYearData.filter(d => +d['ΕΓΓΕΓΡΑΜΜΕΝΟΙ (Α)'] <= latestYearPercentiles.small);
} else if (category === 'medium') {
filtered = latestYearData.filter(d => +d['ΕΓΓΕΓΡΑΜΜΕΝΟΙ (Α)'] > latestYearPercentiles.small && +d['ΕΓΓΕΓΡΑΜΜΕΝΟΙ (Α)'] <= latestYearPercentiles.medium);
} else {
filtered = latestYearData.filter(d => +d['ΕΓΓΕΓΡΑΜΜΕΝΟΙ (Α)'] > latestYearPercentiles.medium);
}
return filtered.slice(0, 3).map(d => d['ΟΝΟΜΑΣΙΑ ΟΤΑ']);
};
console.log("Small municipalities examples:", getExamples('small'));
console.log("Medium municipalities examples:", getExamples('medium'));
console.log("Large municipalities examples:", getExamples('large'));
}).catch(error => {
console.error("Error processing data:", error);
});
</script>
</body>
</html>