Fork of pie chart ICE-7

Bbhargavinalamothu@gmail.com

Fork of Fork of ice-7 q2

This example displays a pie chart with labeled slices, where each slice’s color corresponds to a categorical label and its size reflects a numeric value. The visualization is rendered as static SVG using D3.js v6, with the chart centered in a 500×500 viewport and slice labels placed at each arc’s centroid. Data is loaded asynchronously from a remote JSON file via `d3.json`. The chart uses `d3.pie` to compute arc segments, `d3.arc` for path geometry, and `d3.scaleOrdinal` with `d3.schemeCategory10` to assign colors.

Fork of ICE - 7 Pie Chart

This example shows the percentage of sales for different items using a pie chart with a color-coded legend. The chart is rendered as an SVG, with each slice’s arc and fill color generated via `d3.arc()` and `d3.scaleOrdinal()`. Data is loaded asynchronously from a CSV URL using `d3.csv`, and the legend displays each item’s name and sales percentage, formatted with `d3.format`. The visualization relies on D3 v5 and a custom `bundle.js`, with the pie layout computed by `d3.pie()`.

MMar-99

Fork of Fork of ICE-7 pie chart

This pie chart visualizes the number of car units sold, categorizing the data by class name and assigning each segment a distinct color from a predefined palette. The chart renders as an SVG with arcs generated using d3.arc and positions data through d3.pie, while d3.scaleOrdinal maps colors to categories. A legend on the right displays each class with its corresponding color and formatted value using d3.format. Data is loaded asynchronously from a CSV file via d3.csv.

Llikith1266

Fork of ICE - 7 Pie Chart

This example shows the percentage sales of different items in a pie chart, with a legend displaying each item’s name and corresponding value. Built with D3 v5, it loads data from a CSV hosted on GitHub, converts sales values to numbers, and uses `d3.pie()` and `d3.arc()` to generate the SVG path segments. Colors are assigned via `d3.scaleOrdinal`, while the legend is manually created with appended rectangles and text. The chart is rendered entirely in SVG, with a fixed width and height, and no interactive behavior.

MMar-99

Fork of Pie Chart ICE-7

This example visualizes monthly expenditures from a CSV file as a pie chart. The chart displays categories as colored slices, with each slice labeled by its associated data value, and includes a legend that maps the colors to their numeric values. The visualization is built using D3 version 5, specifically leveraging `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` for the pie geometry, arc paths, and color mapping. Data is fetched asynchronously via `d3.csv` from a GitHub gist URL, and the SVG canvas is rendered with a fixed width and height.

AAnanyaSamala

Fork of ICE - 7 Pie Chart student dataset

This fork of ICE-7 visualizes student GPA and study-time data from a CSV file as a pie chart rendered in SVG using D3 v5. Each pie slice represents a GPA value, with text labels showing the GPA and a legend mapping slice colors to student time values. The code loads data via `d3.csv`, computes arc paths with `d3.arc()`, and uses `d3.scaleOrdinal` for category coloring. The chart is embedded in a React starter HTML page, with styling applied via CSS classes.

Ssushmithameher-patnam

Fork of Pie Chart ICE-7

This pie chart visualizes monthly expenditures, with each slice labeled by a spending category and its numeric value. The chart is rendered as an SVG using D3 v5, with the `d3.pie()` and `d3.arc()` functions generating the segments and their centroids. Data is loaded asynchronously from a CSV file via `d3.csv()`, and a legend lists each category with its corresponding dollar amount. Slice colors are assigned using `d3.scaleOrdinal` with a predefined array of color names.

AAnanyaSamala

Fork of ICE - 7 Pie Chart

This pie chart displays the percentage of sales for different items, with a legend positioned to the right showing each item’s name and corresponding value. The chart is built with D3 v5, using `d3.pie` and `d3.arc` to generate the segments, `d3.scaleOrdinal` for color mapping, and `d3.csv` to load the dataset from a GitHub gist. The visualization renders as SVG, with section labels and legend text styled via CSS.

RRahulSai05