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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.

95% match

Fork of Fork of Thai E

This dashboard visualizes Thai election irregularities across constituencies and party-list votes, letting users explore problems, invalid ballots, and voter turnout through interactive maps, bar charts, pie charts, and scatter plots. The visualization supports toggling between election types and filterable by political party, with a night mode theme that triggers D3 redraws. Built with D3 v7, the dashboard loads CSV data and uses d3.rollup, d3.pie, d3.scaleLinear, and SVG rendering to display findings. A bivariate choropleth heatmap uses a color matrix to combine anomaly severity with margin of victory, while summary statistics provide a high-level overview.

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.

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 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.

Fork of Fork of React & D3 Starter

This dashboard visualizes election irregularities across 69 Thai constituencies. It combines an interactive map with bar, pie, and scatter plots to explore problems, invalid ballots, and voter turnout by district or party-list. The visualization links a summary card, data legends, and tooltips. Built with D3 v7, it uses `d3.csv` for data loading and `d3.rollup`, `d3.pie`, and `d3.arc` for aggregations and the pie chart. The map uses pre-defined scatter coordinates. Irregularity data comes from `MainPointComplete.csv`.

93% match

Fork of eieieiei

This dashboard visualizes electoral irregularities in the Thai 2019 election using a multi-chart interface. The main map renders provinces as positioned dot grids, colored by a bivariate scale combining party colors with reported problem density. A bar chart ranks districts or party-list areas by problem counts, invalid ballot rates, or voter turnout, while a pie chart breaks down party shares and a scatter plot examines correlations between vote margin ratios and reported anomalies. Built with D3 v7, the SVG-based charts include custom tooltips, interactive sort ordering, and filters for election type and metric mode, with data drawn from the `MainPointComplete.csv` file.

93% match