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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.

94% match

66642113326@student.chula.ac.th

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This dashboard visualizes election irregularities across Thai provinces, using a choropleth-style map of hexagonal grids where each hexagon represents a district, color-coded by the selected metric (problem count, invalid ballots, or voter turnout). It displays a summary card with the total problematic districts and a bar chart ranking provinces. Built with D3 v7, it uses SVG rendering, `d3.zoom` for panning and scaling, and custom hexagon path generation via `d3.line`. The code includes simulated province coordinates and district grids, with mouseover tooltips for interactive exploration.

94% match

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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.

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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 visualizes election irregularities across Thai provinces using a linked view of multivariate charts. A bivariate choropleth map encodes the relationship between winning margins and reported irregularities, while a tile grid map uses SVG squares to show severity per district. Interactive bar charts, pie charts, and scatterplots let users explore the data by election type and specific metrics such as problem reports, invalid ballots, or voter turnout. Built with D3.js v7, the visualization reads from a CSV file and employs SVG rendering with animated transitions, tooltips, and filtering controls to reveal patterns between electoral competitiveness and reported anomalies.

NNiru

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This interactive dashboard visualizes voting irregularities across 400 electoral districts in Thailand. It displays a dot-grid map highlighting districts classified as having major issues, with color intensity representing margin of victory and reported problems. The visualization uses D3.js v7 with SVG rendering, featuring bivariate choropleth coloring, interactive tabs for different anomaly types, and radio buttons to switch between district-level and party-list election data. The interface includes a summary card and dynamic filtering by political party, with data sourced from the included CSV file.

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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.