Fork of React & D3 Starter

Fork of Fork of React & D3 Starter

This pie chart visualizes monthly expense categories from a CSV file, displaying each category’s proportional share with a legend and value labels. Built with React and D3 v7, it uses `d3.pie` to compute arc segments and `d3.arc` to generate SVG paths, rendered with a categorical color scheme from `d3.scaleOrdinal`. The chart draws arcs and text labels onto an SVG canvas, with a legend constructed iteratively from the data.

94% match

Pie Chart

This pie chart visualizes monthly expenses across five categories: Rent, Food, Travel, Shopping, and Bills. It uses the D3.js v7 library to compute arc paths with `d3.pie()` and `d3.arc()`, and renders each slice as an SVG path with labels positioned using `labelArc.centroid()`. A legend, built from the loaded CSV file, shows each category with its corresponding value and color from `d3.scaleOrdinal(d3.schemeCategory10)`.

89% match

Pie Chart

A pie chart displays monthly expenses across five categories—Rent, Food, Travel, Shopping, and Bills—with proportional slices and a matching legend. The visualization uses D3 v7’s `d3.pie`, `d3.arc`, and `d3.scaleOrdinal` to compute arc paths and colors, reading the `pieData.csv` file. Slice labels are placed using each arc’s centroid, while the legend lists categories with values. The SVG output is generated entirely with D3’s declarative API.

88% match

Eeeshani.boyapati@gmail.com

Fork of Fork of Reusable D3 pie Plot

This household expenses pie chart visualizes the proportional spending across eight categories, such as Housing, Food, and Education, with each slice labeled by its percentage of the total. The chart is rendered using the D3 v7 library, which uses `d3.pie()` to compute arc data, `d3.arc()` to generate the SVG paths, and `d3.scaleOrdinal()` with `schemeCategory10` for colors. A legend on the right side lists each category with its original value, and the entire visualization is created with SVG elements. Data is loaded from a local `expenses.csv` file using `d3.csv()`.

88% match

Fork of Pie Chart

This fork of a pie chart visualizes travel expenses by category, displaying each expense segment with its corresponding price label and an aligned legend that pairs color swatches with specification names and values. The chart uses D3 v5 APIs including `d3.pie()`, `d3.arc()`, and `d3.scaleOrdinal()` to compute the pie geometry and color mapping, with data loaded asynchronously from a remote CSV via `d3.csv()`. Rendered as an SVG, the chart positions segments and legend elements through D3’s selection and attribute methods, with text formatting applied via `d3.format()`.

Nneeharika2023@gmail.com

Pie Chart

This pie chart displays monthly expense categories—Rent, Food, Travel, Shopping, and Bills—with proportional slices and a labeled legend. Built with D3 v7, it loads data from a CSV file, computes arc paths using `d3.pie()` and `d3.arc()`, and positions category labels via `labelArc.centroid(d)`. A categorical color scale (`d3.scaleOrdinal`) assigns colors, while the SVG rendering includes a title and a legend showing each category’s value. The chart is generated entirely with SVG elements and a custom legend.

Fork of React & D3 Starter

This fork of the React & D3 Starter shows a pie chart of expense categories with quantitative values, alongside a reusable scatter plot module implemented as a factory function. The pie chart uses d3.pie and d3.arc to generate SVG slices, a d3.scaleOrdinal color scale, and includes text labels placed via arc.centroid plus an HTML legend. The scatter plot module uses d3.scaleLinear, extent, axisBottom, and axisLeft to render axes and circles, with setters for width, height, data, and value accessors. Data is hardcoded in both components, and rendering uses SVG throughout.

YYash Raj Mathur

Fork of Pie Chart

This example presents a monthly expenditures dataset as a pie chart, with each slice labeled by department and accompanied by a legend listing exact dollar amounts. Built with D3 v5, the visualization uses `d3.pie()` and `d3.arc()` to generate the slices, `d3.scaleOrdinal` for color mapping, and SVG `<path>` elements for rendering. Data is loaded asynchronously from a CSV URL via `d3.csv`, and the legend is constructed with appended rectangles and text elements.

BBala Sai Krishna