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Niru

@6642061326-creator·17 public vizzes

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ความผิดปกติในการเลือกตั้ง69

This dashboard visualizes anomalies in the 69th Thai election, presenting the data through a choropleth dot map, a bar chart, a pie chart, and a scatter plot. It allows users to filter by election type (district vs. party-list) and by anomaly categories like reported problems, invalid ballots, and voter turnout. Built with D3 v7, the visualization uses SVG for rendering and includes interactive features like tooltips and modals to explore specific regions and parties. The data is loaded from a local CSV file, and the interface includes dynamic controls for sorting and chart mode selection.

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Fork of React Starter

This dashboard visualizes election irregularities in Thailand by combining a bivariate choropleth map, bar chart, pie chart, and scatter plot to explore relationships between district-level and party-list outcomes. Users can filter by issue type—reported anomalies, invalid ballots, or voter turnout—across election modes, with interactive tooltips and a modal detailing party-specific counts. Built with D3 v7, the map uses `d3.geoPath` and a custom dot-grid layout while other views rely on `d3.csv`, scales, and transitions. Data comes from a CSV file containing per-constituency vote margins, party rankings, and ballot statistics, rendered as SVG with animations.

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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.

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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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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.

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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.

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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.

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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.

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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.

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Fork of Finalสส

This visualization dashboard displays Thai election irregularities across constituency and party-list results. Users toggle between problem reports, invalid ballots, and voter turnout metrics, viewing data through synchronized bar charts, pie charts, and scatterplots that color-code winning parties. The main map uses a bivariate choropleth to combine competitiveness and irregularity scores, with D3.js v7 handling SVG rendering, transitions, and tooltips. Data is loaded from a local CSV file that is parsed with d3.csv, while d3.rollup aggregates values for the pie chart and d3.scaleLinear powers the scatterplot axes.

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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.

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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`.

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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.

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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.

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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.

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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.

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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.