Skip to main content
SimilarExport ZIP
100%

Fork of Radar Chart

✓ Published0🌍 Public
Kkratikashetty1102@gmail.com
Last edited Mar 8, 2024
Created on Mar 8, 2024
Forked from Radar Chart

This fork of a radar chart displays multidimensional data from a CSV file fetched from a GitHub gist, rendered as a square SVG visualization. The code uses d3.csvParse to load the data and d3.select to manage the SVG container, resizing the chart to fit the viewport. It includes placeholders for future interactive features such as an interactive legend, hover highlighting, and zooming scales, with hover behavior partially developed. The chart relies on d3.v7 and d3-scale-chromatic for potential color scaling.

AI-generated description

Radar Chart REAL Visualization!

Next, interactive legend, hover highlighting, and maybe zooming scales

Got help from ChatGPT on the hover code: https://gistpreview.github.io/?d6ab9f1fddca65abf60fdbefbe89a5f5

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Radar Chart

This radar chart visualizes survey responses grouped by media type, with each axis representing a human participant and values reflecting mean point scores. The fork adds interactive legend toggling that hides or dims radar shapes, plus hover highlighting that thickens the selected shape’s stroke and bolds the matching legend item. Built with D3 v7, it uses `d3.group`, `d3.mean`, and `d3.csvParse` for data processing, and CSS classes control opacity and display states for unchecked items. Data loads from a remote CSV, and the chart renders as an SVG with a square, bordered layout.

Kkratikashetty1102@gmail.com
87% match
Loading thumbnail…

Fork of Radar Chart

This example visualizes survey responses about media interactions as a radar chart, rendering a square-shaped plot that displays aggregated data points for different media types. The visualization computes mean scores from CSV data, which is fetched from a remote GitHub repository, converting response categories into numeric values. The D3 v7 code uses `d3.csvParse`, `d3.group`, and `d3.mean` to process and aggregate the data, while the rendering pipeline follows a declarative `select` pattern to build the SVG chart. The visualization lays groundwork for interactive features like legends and hover effects, though current implementation focuses on static display.

Kkratikashetty1102@gmail.com
86% match
Loading thumbnail…

Fork of Radar viz

This visualization presents a quadrant-based radar chart displaying categorical data points, with a central circular burst design. It loads car production data from an external CSV file using D3 v5's `csv` function. The chart uses SVG rendering with a custom `d3.scaleLinear` for the x and y axes, and `d3.arc` generators to create concentric ring segments with color-coded gradients for each quadrant. The interface includes a slider and bubble area alongside the main radar visualization, with tooltips for additional context.

Tt0miwa22
84% match
Loading thumbnail…

Fork of New Technique: Radar Chart Interaction

This example presents an interactive radar chart that visualizes survey data across four dimensions: Community, Self-expression, Discovery, and Agency. Data is fetched from a remote CSV file and aggregated by media platform. The visualization uses d3.v7’s `scaleLinear` and custom path generation to draw radar shapes, with interactive legend items enabling hover highlighting and click-to-toggle filtering. Built with the D3.js framework, it also incorporates `d3.group` for data grouping and `d3.mean` for averaging responses.

Kkratikashetty1102@gmail.com
82% match
Loading thumbnail…

Fork of New Technique: Radar Chart Interaction

This example presents an interactive radar chart that visualizes survey data across four dimensions: Community, Self-expression, Discovery, and Agency. Data is fetched from a remote CSV file and aggregated by media platform. The visualization uses d3.v7’s `scaleLinear` and custom path generation to draw radar shapes, with interactive legend items enabling hover highlighting and click-to-toggle filtering. Built with the D3.js framework, it also incorporates `d3.group` for data grouping and `d3.mean` for averaging responses.

Kkratikashetty1102@gmail.com
82% match
Loading thumbnail…

Fork of Radar Chart

This visualization presents survey data on four dimensions—Community, Self-expression, Discovery, and Agency—for twelve social media platforms. Each platform is represented as a colored radar shape, with interactive legend items enabling users to hover for highlighting or click to toggle platforms on and off. The D3.js code uses `d3.select` joins for rendering, `scaleLinear` for axes, and custom event handlers for hover states and opacity changes. Data is fetched from a CSV file and processed with `d3.group` and `d3.mean` to calculate average scores per platform.

Kkratikashetty1102@gmail.com
81% match
Loading thumbnail…

Fork of Main Viz | Protype Dev

This visualization presents a radar-style chart with colored ring segments, plotting categorized data points across four quadrants. The example uses D3 v5 to generate SVG elements, including linear gradients and arc paths for the central chart, with x and y axes scaled from -4 to 4. It loads car production data from a GitHub gist via `d3.csv`, and includes interactive slider and bubble sections alongside the main radar view. The code demonstrates custom arc generation and axis customization, removing tick marks to create a clean, circular display.

Tt0miwa22
81% match
Loading thumbnail…

Fork of Rdar Chart Backup

This radar chart visualizes survey data mapping social media platforms across four dimensions: Community, Self-expression, Discovery, and Agency. The D3.js v7 visualization renders each platform as a diamond-shaped path on a square radar layout with four linear axes. Interactive features include hover highlighting that emphasizes corresponding legend items and radar shapes, plus clickable legend entries that toggle platform visibility. Data originates from a CSV file parsed with d3.csvParse and aggregated using d3.group and d3.mean to compute average scores per platform.

Kkratikashetty1102@gmail.com
81% match