Fork of Fork of Thai E

Fork of Thai E

This interactive dashboard visualizes election irregularities across Thailand's 400 constituencies, allowing users to explore problem reports, invalid ballots, and voter turnout through synchronized maps, bar charts, pie charts, and scatter plots. Users toggle between district and party-list results, filtering by winning party and sorting bar values. Built with D3 v7 using SVG and animations, the visualization loads CSV data and implements custom color matrices for bivariate choropleth mapping, d3.rollup for aggregation, and tooltip interactions to reveal district-level statistics.

96% match

Fork of Fork of Thai E

This dashboard visualizes anomalies in Thailand's 69th election, displaying a choropleth map, bar chart, pie chart, and scatter plot. Users can toggle between district and party-list views, filter by political party, and explore problem reports, invalid ballots, or voter turnout. D3.js v7 powers all SVG renderings with animated transitions. The scatter plot uses `d3.scaleLinear` for axes and includes a dashed trend line. Data originates from a CSV file with columns covering vote counts, win margins, and anomaly indicators.

94% match

Fork of Fork of eiei

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.

94% match

Fork of Fork of Fork of Fork of Final

This interactive dashboard visualizes election anomalies across Thai constituencies from a CSV dataset, allowing users to explore problems, invalid ballots, and voter turnout through linked choropleth maps, bar charts, pie charts, and scatter plots. Built with D3 v7, the interface uses multiple synchronized views—including a dot-density map, bar charts, pie charts, and scatterplots—to reveal patterns such as the relationship between close races and reported irregularities. Users can toggle between district and party-list election types and filter by political party, while tooltips provide detailed per-constituency data.

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

66642113326@student.chula.ac.th

Fork of Fork of Final

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.

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

66642113326@student.chula.ac.th

Fork of eiei

This visualization is a dashboard for exploring election irregularities in Thailand, specifically analyzing constituency and party-list results. It presents interactive maps, bar charts, pie charts, and scatter plots to examine relationships between winning margins, reported problems, invalid ballots, and voter turnout. The application uses d3.csv to load the dataset and d3.rollup to aggregate data for the pie chart, while the scatter plot applies d3.scaleLinear and d3.axisBottom to display the correlation between vote difference ratios and issue counts. Animated SVG transitions highlight data points upon user interaction.