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Fork of Assignment-2

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Bbhavyasrireddy267@gmail.com
Last edited Mar 27, 2025
Created on Mar 27, 2025
Forked from Assignment-2

This interactive SVG pie chart visualizes the distribution of fish species from a CSV file fetched from a GitHub gist. D3 groups the data by species to calculate counts, then uses `d3.pie` and `d3.arc` to render the chart with tooltips on hover. A legend displays species names and counts, color-coded via `d3.scaleOrdinal`.

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This contains the pie chart for fish speices.

MIT Licensed

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Assignment-2

This pie chart visualizes the distribution of fish species from a CSV dataset loaded via `d3.csv`. It uses `d3.nest()` to count occurrences per species, then `d3.pie()` and `d3.arc()` to generate the chart geometry, with `d3.scaleOrdinal` and `d3.schemeCategory10` for color encoding. The SVG rendering includes an interactive legend, and the code demonstrates a reusable pattern for pie charts with D3 v6.

Bbhavyasrireddy267@gmail.com
90% match
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assignment-2 fork

This static pie chart shows the distribution of fruit quantities. The visualization is rendered as an SVG, with each slice labeled by its corresponding fruit name. The code loads data from a CSV file hosted on a GitHub gist using `d3.csv`. It employs `d3.pie` to compute the arc segments, `d3.arc` for the path geometry, and `d3.scaleOrdinal` with `d3.schemeCategory10` for coloring. The chart is centered within a 600x400 SVG canvas, with a title placed above the plot.

GGanesh Raju Yadav
87% match
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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.

Ssaimanvith22@gmail.com
84% match
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Fork of Fork Rahul

This D3.js (v7) visualization presents the distribution of flower species as a pie chart, with each slice colored and labeled with its count, alongside a legend showing species names and totals. The chart is rendered as SVG within a single container, using `d3.pie` and `d3.arc` to generate the slices, while `d3.rollup` aggregates the dataset to count occurrences per species. The code also adds a title, axis labels, and a legend, with data loaded via `d3.csv` from a remote Gist.

Ssairahulreddy.bapuram2001@gmail.com
83% match
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Fork of Assignment_2_1

A pie chart visualization displays the distribution of cereals by manufacturer, using D3.js v7 to fetch and aggregate cereal data from a CSV file via `d3.csv` and `d3.rollups`. The pie slices are rendered as SVG paths with `d3.pie` and `d3.arc`, colored by a categorical scale, and labeled with manufacturer codes. A legend maps these codes to full manufacturer names, all presented in an SVG layout with a white background.

LLikhithagade@my.unt.edu
83% match
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Fork of Fork of Fork Rahul

This pie chart visualizes the distribution of flower species in a CSV dataset fetched from a GitHub Gist. The chart uses `d3.pie` and `d3.arc` to generate slices, with `d3.rollup` aggregating species counts and a color scale mapping each species to a distinct color. Labels display counts inside each slice, while a legend and axis titles annotate the SVG render.

Ssairahulreddy.bapuram2001@gmail.com
83% match
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Fork of Assignment ICE 7

This pie chart displays the number of units purchased for each item, with values labeled on each slice and a color-coded legend listing items and their corresponding counts. The visualization is built using D3 v5, loading CSV data from a GitHub gist and rendering with SVG. It uses `d3.pie`, `d3.arc`, and `scaleOrdinal` to generate the chart, while the legend is constructed manually with appended rectangles and text elements.

VVaishnavi6199
82% match
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Fork of Assignment 2 - Pie Chart

This pie chart visualizes the population distribution across continents. The chart uses a color-coded legend and labels each slice with its population count in thousands. The visualization is built with D3 v5, using the `pie`, `arc`, and `scaleOrdinal` APIs to generate and style the slices. It loads data from a local CSV file and renders the chart as an SVG, with a custom legend showing each continent and its corresponding value.

HHaili0109
81% match