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Activity7_Task1

✓ Published1🌍 Public
Ssaimanvith22@gmail.com
Last edited Nov 5, 2024
Created on Nov 4, 2024
Forked from Fork of Task 7

This example shows a pie chart of penguin species counts, with each slice labeled by species name and count, and a title reading “Dolphin Species.” The chart is rendered as an SVG using D3 v6, loading data from a remote CSV file. The code uses `d3.csv`, `d3.rollups` to aggregate counts, `d3.pie` and `d3.arc` for the layout and slice geometry, and `d3.scaleOrdinal` for slice colors. Labels are positioned with `arc.centroid`, and the chart is centered within a 500×500 SVG.

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MIT Licensed

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Fork of Activity7_Task1

This D3.js (v6) SVG pie chart visualizes species distribution from a CSV file fetched from a GitHub repository. The pie chart displays each species as a colored slice with a text label at its centroid, using a custom ordinal color scale. A legend is also rendered, mapping species names to their corresponding colors. The chart is constructed using `d3.csv`, `d3.scaleOrdinal`, `d3.pie`, and `d3.arc`, with slices and legend elements appended via `d3.select` and the `.join` operator for data-driven rendering.

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This pie chart shows the distribution of penguin species from a CSV dataset, displaying each species with its corresponding count labeled directly on the slices. The visualization uses D3 v6’s `pie()` and `arc()` generators to compute slice angles and paths, with `scaleOrdinal()` assigning categorical colors. Data is loaded asynchronously via `csv()` from a GitHub URL, and `d3.rollups()` counts occurrences per species before the SVG group is translated to center the chart. Slice labels combine species name and count, positioned using `arcGenerator.centroid()`.

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Activity 7.1_Question 1

A pie chart displays the distribution of penguin species from a CSV dataset, showing counts for each species with labeled segments. The visualization uses D3 v6 APIs including `d3.csv` for data loading, `d3.pie` and `d3.arc` for generating the pie geometry, and `d3.scaleOrdinal` with `schemeCategory10` for colors. Each segment is rendered as an SVG path with a white stroke, and text labels using `arcPath.centroid` position the species name and count at the center of each slice.

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This pie chart displays the distribution of penguin species by count, using a dataset loaded from a CSV file. The chart is rendered as an SVG with each slice colored using a categorical color scheme, and it includes a legend that lists each species with its corresponding count. Built with D3.js v6, the visualization uses `d3.pie()` to compute the arc data, `d3.arc()` to generate the slice paths, and `d3.scaleOrdinal()` for color mapping. The chart is centered within a 500x500 pixel SVG canvas, with slices separated by white strokes for clarity.

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Activity 7 Q2

This visualization presents the distribution of penguin species in a dataset, breaking down the counts of each species in a simple pie chart. The chart uses D3 v7’s pie and arc generators to compute and draw the proportional slices, with colors assigned by scaleOrdinal and schemeCategory10. The code loads data from a CSV file, groups records by species to calculate counts, and renders the pie with white stroke separations and labels placed at each arc’s centroid. A manual legend and red axis annotations are added for context.

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This pie chart displays the distribution of penguin species from a CSV dataset, showing each species with a colored slice and a legend. Built with D3 v7, it uses `d3.pie()` to compute arc angles, `d3.arc()` to generate SVG paths, and `d3.scaleOrdinal` with `d3.schemeSet2` for colors. Labels are positioned using `arc.centroid()`, and the chart renders to an SVG element.

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Activity7.1

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