Election

eiei

This interactive dashboard visualizes election anomalies in Thailand’s 2023 general election, letting users explore problems, invalid ballots, and voter turnout across constituencies and party-list results. Built with D3.js v7 and rendered as SVG with animations, it combines a scatter plot, bar chart, pie chart, and a customizable map using `d3.rollup` and `d3.arc`. Users can filter by party and election type, with tooltips revealing detailed per-district figures from the MainPointComplete.csv dataset, while textual insights explain key correlations between competitiveness and reported irregularities.

90% match

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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.

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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.

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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.

eieieiei

This dashboard visualizes potential electoral irregularities using data from the MainPointComplete.csv file, which contains results from the 69th election in Thailand. The main map displays provinces as bivariate symbol grids, where each dot encodes a bivariate color scale based on two variables, with colors representing the winning party. Users can switch between constituency and party-list views, and toggle between three metrics: problem reports, invalid ballots, and voter turnout. The dashboard integrates multiple interactive D3 v7 charts, including a choropleth-style map using dot grids, a bar chart for ranking districts, a pie chart for party share of issues, and a scatter plot correlating vote margins with problem reports. The selection of parties in the map legend filters the visualizations across all chart types, allowing users to explore the spatial distribution of election anomalies.

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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.

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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.

Kkulpondpat@gmail.com

87% 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.