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Fork of Piechart ICE7

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LLayaMyadam@my.unt.edu
Last edited Apr 22, 2024
Created on Apr 22, 2024
Forked from Piechart ICE7

A pie chart visualizes the number of vehicles seized across different U.S. states, sourced from a CSV dataset. Each slice represents a state’s total, with values formatted in thousands and displayed alongside a color-coded legend. D3 v5 operations include `pie()`, `arc()`, `scaleOrdinal()`, and SVG path generation, while the data is loaded asynchronously via `d3.csv`. The chart is rendered with SVG elements, using arc centroids for labels and a custom color palette for distinct state identification.

AI-generated description

A reusable scatter plot inspired by Towards Reusable Charts.

Shows the Iris Dataset.

MIT Licensed

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Fork of Piechart ICE7

A pie chart depicts the number of vehicles seized across various U.S. states, using a dataset loaded from a GitHub-hosted CSV. The chart displays each state as a colored slice with a value label (in thousands), accompanied by a legend that lists state names and their corresponding seized-vehicle counts. Built with D3 v5, the visualization employs `d3.csv` to fetch data, `d3.pie` to compute arc segments, `d3.arc` for path generation, and `d3.scaleOrdinal` for categorical coloring. The SVG output is rendered within a centered layout, with legends and labels formatted via CSS.

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This pie chart displays the number of vehicles seized across different states in America, sourced from a raw CSV file on GitHub. The chart uses D3 v5’s `pie` and `arc` functions to generate the slices, with `scaleOrdinal` assigning colors to each state segment. Value labels are added using `arcGenerator.centroid`, and a legend with state names and totals is included. The visualization is rendered as an SVG with a flexible, reusable code structure.

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This pie chart displays the number of vehicles seized across different U.S. states, with each slice color-coded to correspond to a state listed in a legend alongside its value. The visualization uses D3 v5’s `pie` and `arc` generators to compute and render the SVG paths, with `scaleOrdinal` assigning colors. Data is loaded asynchronously from a CSV via `d3.csv`, and slice labels show values in thousands formatted with `d3.format`, while tooltips and hover interactions are absent.

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This pie chart visualizes vehicle seizure data by Indian state, displaying each state's count as a labeled slice with a legend. It loads CSV data from a GitHub gist and renders the visualization using D3.js v7 APIs including `d3.pie`, `d3.arc`, `d3.scaleOrdinal`, and `d3.format`. The chart encodes values in thousands, colors each slice distinctly, and positions labels at arc centroids.

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This pie chart visualizes the number of vehicles seized across different U.S. states, using a CSV dataset fetched from GitHub. Each state is represented by a colored segment with its value labeled in thousands, alongside a legend showing state names and corresponding quantities. The visualization employs D3 v5 APIs including `pie`, `arc`, and `scaleOrdinal` to generate SVG paths, with text labels positioned using `arc.centroid`.

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This visualization shows the number of vehicles seized across different U.S. states, displayed as a pie chart with state names and values listed in a legend. The chart uses D3 v5 APIs including `d3.pie`, `d3.scaleOrdinal`, `d3.arc`, and `d3.select` to render SVG sectors and labels, with data fetched from a raw GitHub CSV file. Each slice is colored distinctly, and the code computes totals and formats values in thousands for readability. The visualization is rendered entirely in SVG within an HTML page.

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