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This Thai-language dashboard visualizes election irregularities across 400 districts, distinguishing between district-based and party-list voting systems. It presents a bivariate choropleth map where color encodes both anomaly severity and margin of victory, alongside a dot-matrix representation of provinces. Built with d3.v7, the visualization uses a custom bivariate color matrix, SVG rendering for the map, and interactive tabs to switch between anomaly, invalid-ballot, and voter-turnout views. The interface includes radio buttons for election type, party filters, and a summary card displaying counts of problematic districts.

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This dashboard examines potential irregularities in Thailand’s 69th election by mapping districts with reported issues. It displays a grid-based map using D3.js, with colored squares representing the number of problems per district. Users can switch between district-level and party-list data, with a summary card updating the total count and percentage. A bar chart ranks districts by problem counts. The visualization is built with D3.v7 and SVG, with data loaded from an included CSV file.

93% match

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This dashboard monitors electoral irregularities across 400 districts using Thai election data. A bivariate choropleth map, colored by the interaction between victory margin (Safe-seat, Moderate, Marginal) and reported problem severity (Major, Minor, None), uses a 3×3 color matrix. Linked views include a bar chart and pie chart, both filterable by district or party-list mode and by metric: reported problems, spoiled ballots, or voter turnout. Built with D3 v7, the visualization employs `d3.rollup`, `d3.pie`, `d3.arc`, and SVG rendering, with data loaded from `MainPointComplete.csv`.

93% match

66642113326@student.chula.ac.th

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A dashboard visualizes election irregularities across Thai provinces, displaying which districts show problems, with tabs for problematic areas, invalid ballots, and voter turnout. The summary card shows counts of affected districts, while a bivariate choropleth map uses color matrices to combine irregularity levels with margin of victory. D3 v7 with SVG renders the map and a filtered bar chart, with interactive tab switching and tooltips providing district details.

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This dashboard visualizes election irregularities across Thailand’s 69 provinces, with a dot-matrix map encoding the number of problem districts per province and a bar chart ranking them. Users toggle between views for problem districts, invalid ballots, and voter turnout. Built with D3 v7, it renders an SVG map and bar chart, using tab buttons and a legend, with tooltips for interaction.

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This dashboard visualizes election irregularities in Thailand, showing problems found at the district and party-list levels, invalid ballot rates, and voter turnout. It combines interactive maps, bar charts, pie charts, and scatter plots using D3.js v7, rendering via SVG with animated transitions between three analysis modes. The visualization uses `d3.rollup` for data aggregation, `d3.scaleOrdinal` for party colors, and implements custom tooltips to display detailed statistics from the MainPointComplete.csv dataset across 400+ constituencies. Users can toggle between district and party-list results through radio buttons and tab navigation.

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This dashboard visualizes anomalies in Thailand’s 69th election, mapping problem districts across the country. It presents an interactive SVG map built with D3 v7, where each district is drawn as a grid of small rectangles via raw coordinate data, alongside a bar chart ranking districts by issue count. Users switch between map views using tabs, with a stepped color legend indicating severity. The code uses D3 selections, scales, and SVG rendering to generate both the custom low-level map and the chart.

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A dashboard visualizes election irregularities across Thai constituencies, mapping problems, invalid ballots, and voter turnout. It renders Thailand's electoral boundaries from a GeoJSON FeatureCollection using D3 v7's `d3.geoMercator` and `d3.geoPath` into an SVG, with D3 zoom for panning and scaling. Interactive tabs and hover tooltips show province names and constituency numbers. A summary card displays struck-through placeholder counts, while a bar-chart area remains empty, awaiting data binding.