Pseudo Viz Radar Chart

Pseudo Visualization of Radar Chart

This example presents a pseudo-visualization of a radar chart for Singapore across four categories: CEI, GCI, NCSI, and DDL. The code builds a radial grid with axes and category labels, then plots a single data point on each axis as an orange circle. The path connecting these points is filled in blue, though the fill and stroke are subsequently overridden to red via the `hue` module, demonstrating a deliberate layering of drawing operations. It uses D3’s `scaleLinear`, `lineRadial`, and SVG primitives like `path` and `circle`.

Ccrijos

95% match

PseudoViz: Radar Chart

This pseudo-visualization displays four radar shapes in a square SVG, each representing a media item with values for attributes C, S, D, and A on a scale of 0 to 6. The chart uses `d3.line` to construct closed paths, with `scaleLinear` mapping attribute values to horizontal and vertical coordinates, and `scaleOrdinal` with `schemeDark2` assigning distinct stroke colors. The data is hardcoded in `radarData`, with no scales or legend yet.

KK Munz

82% match

Radar chart

A radar chart displays multiple series of data as colored polygons overlaid on a circular grid of axes, with each axis representing a category. Values are scaled relative to the dataset’s maximum, and percentage labels mark the grid levels. The code uses D3 v3 to build the SVG, calculating polygon points from trigonometric functions and animating fill opacity on mouseover. Grid lines, axis labels, and legends are drawn with `d3.select` and `append`, while color is assigned via `d3.scale.category10()`.

80% match

Radar chart

A radar chart, also known as a spider chart, compares two data series across five categorical axes: Visualization, Machine Learning, Data Manipulation, Web Scrapping, and Search Engine. One series shows full values of 1, while the other displays fractional values. The SVG-based visualization, built with D3.js v3, uses a custom `RadarChart.draw` function to render circular level rings, percentage labels, axis lines, and filled, semi-transparent polygons for each series. The chart includes hover interactions and a color scale from `d3.scale.category10()`, with static legend titles defined in the accompanying script.

SSaintat1

Radar chart

A radar chart compares multiple quantitative variables on axes radiating from a common center. The code uses D3 v3 with SVG rendering and animation to plot one or more data series as filled polygons, with hover states that adjust fill opacity. Axis labels and percentage level markers are drawn using D3’s selection and append methods, while `d3.scale.category10` handles color encoding. The dataset is supplied inline, and the chart is rebuilt dynamically through a custom `RadarChart.draw` function.

Simple Radar Chart

A simple radar chart displays two randomly generated 24-hour data series as radial lines around a central point, with colored polygons for each series. The visualization uses d3.js version 2.5.0 to render SVG elements, including concentric circular axes with tick labels and radial spokes for each hour. The code defines a linear radius scale from the merged data range, then draws paths using `d3.svg.line.radial()` to connect the data points, with green and blue strokes distinguishing the series.

RRemiFaure

Radar chart

A radar chart displays multivariate data as a polygonal series overlaid on concentric circular gridlines and radiating axes. Multiple data series appear as distinct filled polygons, with hover interactions that dim other areas to highlight the selected series. The visualization is built with D3 v3, rendering SVG elements like lines, polygons, and text. Axis labels and grid values are positioned using trigonometric calculations, while the data is sourced from the gist’s embedded dataset and animated transitions respond to mouse events.

Radar chart

This example shows a radar chart with multiple overlaid polygon series, each representing a set of values across several axes. Circular grid lines and labeled axes display the scale, with value markers at each level. The code uses D3 v3 to build the visualization in SVG, computing polygon coordinates from the data and drawing them with `d3.select` and appended elements. Hovering transitions fill opacity, and the `d3.format` API formats the axis labels.