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This dashboard visualizes election irregularities across Thailand, presenting an interactive map, bar chart, pie chart, and scatter plot. It uses D3.js v7 to render SVG and animated transitions, allowing users to switch between constituency and party-list data, and to filter by political party. The visualization explores relationships between vote margins, reported problems, invalid ballots, and voter turnout, with tooltips providing detailed statistics for each district. Data is loaded from a CSV file containing election results and anomaly indicators.

Kkulpondpat@gmail.com

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66642113326@student.chula.ac.th

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This visualization presents an interactive dashboard analyzing Thai election irregularities across provinces, mapping correlations between vote margins, reported problems, invalid ballots, and voter turnout. It combines multiple D3.js v7 charts—including a scatterplot showing the relationship between vote margin ratios and reported issues, a pie chart displaying winning parties by problem type, and a bar chart with sorting controls. The visualization uses an SVG-based dot grid map for geographic distribution, D3 scales, arc generators for pie segments, and custom tooltips to reveal detailed CSV data on hover, all styled with Thai-language labels and party-specific color encoding.

94% match

Fork of Final

This dashboard analyzes Thai election irregularities across provinces, combining multiple D3 v7 visualizations. It shows the correlation between vote margins, reported problems, invalid ballots, and voter turnout. The interface includes a bar chart for comparing district-level metrics, a pie chart showing party proportions, a scatterplot mapping vote differentials against problem counts, and a bivariate choropleth map colored by anomaly severity and winning margin. All charts use the CSV data file with interactive tooltips, party-specific color coding, and animated transitions.

94% match

Fork of Fork of Fork of Final

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.

Kkulpondpat@gmail.com

Fork of Final12

This dashboard visualizes Thai election irregularities across districts, comparing constituency and party-list results through multiple coordinated views. It maps problem reports, invalid ballots, and voter turnout by district using the d3.geoPath projection, while bar charts, pie charts, and a scatterplot with trend lines reveal relationships between margin of victory and reported anomalies. The visualization uses d3.csv for data loading, d3.rollup for aggregation, and animated tooltips with transitions for interactive exploration.

Fork of Fork of Final

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.

Fork of Fork of Fork of Final

This dashboard visualizes election irregularities in Thailand, showing the relationship between close electoral races and reported problems, invalid ballots, and voter turnout. It combines multiple D3.js v7 charts, including an interactive map of provinces with toggleable modes, a bar chart, a pie chart, and a scatter plot, all driven by a CSV file of district-level results. The code uses d3.csv for data loading, d3.rollup for aggregation, and d3.pie/d3.arc for the donut chart, with custom tooltips and color-coded party legend for user interaction.

Kkulpondpat@gmail.com

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This interactive dashboard visualizes election irregularities across Thai constituencies, comparing district and party-list results through multiple linked views. It includes a choropleth-style map with dot grids, bar charts ranking problem counts, a pie chart showing party shares, and a scatter plot correlating score margins with reported issues. Built with D3 v7, the visualization uses `d3.csv` for data loading, `d3.rollup` for aggregation, SVG rendering, and animated transitions. Users can toggle between election types and metrics like invalid ballots or voter turnout. Data comes from the MainPointComplete.csv file.