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Last edited Nov 5, 2024

Created on Nov 5, 2024

This example presents a pie chart visualizing the number of vehicles seized across American states. Using D3.js v5, the chart displays proportional slices for each state, with labels and a legend showing state names and seizure counts. The code loads data from a remote CSV file and employs D3 APIs such as `pie`, `arc`, `scaleOrdinal`, and `svg` selections to render the visualization, with a legend generated using custom SVG elements.

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An example showing the capabilities of VizHub:

Loads D3 via UNPKG.
Demonstrates use of import from "d3".
Demonstrates use of import from local ES6 modules.

MIT Licensed

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Vinila_7.1.QUESTION-1

This visualization displays a pie chart tracking the number of vehicles seized across American states, with each slice labeled by its value in thousands and accompanied by a legend showing state names and corresponding quantities. The code loads data from a CSV file using D3’s `csv` method, then applies `pie` and `arc` generators to create the chart, while `scaleOrdinal` assigns colors to each state. Additional D3 utilities like `format` and `select` handle number formatting and SVG rendering. The example demonstrates importing from both the D3 module and local ES6 modules.

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This visualization presents a pie chart depicting the number of vehicles seized across different states of the United States. The chart uses a standard donut layout with color-coded slices for each state, displaying the raw count value for each segment. Accompanying the chart is a legend that maps the colors to their respective states and values. The implementation utilizes D3 version 5, specifically the `pie`, `arc`, `scaleOrdinal`, and `format` APIs, to process and render the data as SVG elements. The data is sourced from a CSV file hosted on GitHub, fetched via the `d3.csv` method, and processed to calculate the total before generating the visualization.

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