map

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.

84% 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.

82% match

Fork of Fork of Fork of Fork of Hello VizHub

This fork of Hello VizHub visualizes Thai election data, comparing district and party-list results across provinces. It shows a bar chart of reported votes per district, alongside a map with colored dots representing provinces, with interactive tabs to filter by problem type. The visualization uses d3.csv to load data, d3.scaleLinear and d3.scaleBand for the bar chart layout, and SVG shapes for the map. User interactions include tooltips on hover, a sort toggle, and radio buttons to switch between election types.

NNatnaree kludbupa

81% match

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.

81% match

Election

This election dashboard visualizes anomalies across 400 Thai electoral districts using SVG and animated transitions. It shows the number of reported problems, invalid ballots, and voter turnout for both district-based and party-list election methods, with data from MainPointComplete.csv. The interface combines multiple D3.js v7 components: a bar chart with sortable ranks, a pie chart displaying winning party proportions, a dot matrix map, and a scatter plot with trend lines. Users toggle between election types and tab buttons to filter views.

Fork of HTML Starter

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.

Kkulpondpat@gmail.com

Fork of Fork of HTML Starter

This dashboard visualizes election irregularities across Thai provinces using a dot-grid map layout, where each circle represents an electoral district colored by problem severity. Users can switch between different irregularity metrics via tab navigation, updating both the map and accompanying bar chart. The visualization uses D3 v7 to render SVG elements, with interactive tooltips on hover revealing province details, and displays summary statistics alongside the geographic dot distribution.

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.