Skip to main content
SimilarExport ZIP
100%

Fork of D3 Scatter Plot Matrix multiple colors

✓ Published0🌍 Public
Xxychen0612.cs09@nycu.edu.tw
Last edited Oct 12, 2023
Created on Oct 12, 2023

This scatter plot matrix compares all numeric fields in the iris dataset, with each cell showing a bivariate relationship and points colored by species using d3.scaleOrdinal and a custom color array. The four-by-four grid is built with D3 v6, rendering each plot as an SVG with axes from d3.axisLeft and d3.axisBottom, and labels placed on the diagonal. Data is loaded from a CSV via d3.csv, while d3.extent sets the scales.

AI-generated description

A multivariate comparison of all the numeric fields in the iris dataset. Colors denote members of the three iris species. Inspired by this

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of D3 Scatter Plot Matrix multiple colors

This example presents a 4×4 scatter plot matrix comparing all numeric fields of the Iris dataset (sepal length/width, petal length/width). Each cell uses colored circles, scaled by d3.scaleLinear and colored by d3.scaleOrdinal with the schemeSet1 palette, to distinguish the three iris species. Data is loaded via d3.csv from a remote gist. Titles appear only on diagonal plots, and axes are rendered with d3.axisLeft and d3.axisBottom, while the SVG matrix is dynamically generated by nested loops.

TTiado Kollender
93% match
Loading thumbnail…

Fork of D3 Scatter Plot Matrix multiple colors

This fork of a D3 scatter plot matrix compares all numeric fields of the classic Iris dataset, using color to distinguish the three iris species. A 4×4 grid of small SVG plots shows every pairwise combination of sepal and petal measurements, with diagonal cells displaying the feature name. The code uses the d3.csv, d3.scaleLinear, d3.scaleOrdinal, d3.axisLeft, and d3.axisBottom APIs to load data, map values to positions and colors, and render axes. Data is loaded from a remote Gist, and each circle is drawn with a fill color from the d3.schemeSet1 palette at 0.7 opacity.

FFarhaan Qazi
92% match
Loading thumbnail…

Fork of D3 Scatter Plot Matrix (still and proudly Vanilla JS 🙃)

A four-by-four scatter plot matrix compares every pair of numeric measurements in the iris dataset, with points colored by species using the `d3.scaleOrdinal` schemeSet1 palette. Each cell renders an SVG with `d3.axisLeft` and `d3.axisBottom` scales, while diagonal panels label their corresponding feature. The code fetches the CSV via `d3.csv`, parses numeric fields, and loops through all combinations to append individual SVGs sized to a quarter of the window. D3 v6 is loaded from a CDN and used as a browser global.

Aadventuresenglish.info@gmail.com
91% match
Loading thumbnail…

D3 Scatter Plot Matrix multiple colors

A 4x4 scatter plot matrix compares all numeric fields of the classic iris dataset, with each cell plotting one field against another. D3 v6 renders 16 SVG charts, using `d3.csv` to load data, `d3.scaleLinear` for axes, `d3.scaleOrdinal` with `schemeSet1` to color points by iris species, and `d3.axisLeft`/`d3.axisBottom` for ticks. Titles appear only on diagonal cells.

TToly
91% match
Loading thumbnail…

Fork of D3 Scatter Plot Matrix (still and proudly Vanilla JS 🙃)

This visualization shows a 4x4 scatter plot matrix comparing all numeric fields of the iris dataset, with points colored by species using `d3.scaleOrdinal` and `schemeSet1`. Each cell pairs two variables, with axes drawn via `d3.axisLeft` and `d3.axisBottom`, and diagonal cells display variable titles. The code loads CSV data from a GitHub gist, parses it with `d3.csv`, calculates extents with `d3.extent`, and renders the matrix across the full window using multiple SVGs sized to a quarter of the viewport. It relies solely on D3 v6 in vanilla JavaScript.

Aadventuresenglish.info@gmail.com
91% match
Loading thumbnail…

Fork of D3 Scatter Plot Matrix multiple colors

This example displays a 4x4 scatter plot matrix comparing all numeric fields of the iris dataset, with each point colored by species using the `schemeSet1` palette. Built as a React application using D3 v6, it renders SVG circles with `scaleLinear` and `scaleOrdinal` scales, and draws axes via `axisLeft` and `axisBottom` for every pairwise combination. The data is loaded as CSV and parsed dynamically, with chart titles appearing only on the diagonal cells.

Iiamsravan
90% match
Loading thumbnail…

Fork of D3 Scatter Plot Matrix (still and proudly Vanilla JS 🙃)

This visualization presents a 4x4 scatter plot matrix comparing all numeric fields of the classic Iris dataset, with points colored by species using the `d3.schemeSet1` color array. Each cell pairs a variable on the x-axis with another on the y-axis, using `d3.scaleLinear` and `d3.extent` for scaling and axes via `d3.axisLeft` and `d3.axisBottom`. The code fetches CSV data with `d3.csv`, manipulates the DOM with `d3.select`, and renders SVG circles with a radius of four pixels. Titles appear only on diagonal cells, where a variable is compared with itself.

Aadventuresenglish.info@gmail.com
90% match
Loading thumbnail…

Fork of D3 Scatter Plot Matrix (still and proudly Vanilla JS 🙃)

This matrix of scatter plots compares every numeric field in the classic Iris dataset, with colors distinguishing the three species. Each of the sixteen small SVG charts shows the relationship between a pair of measurements. The code uses `d3.csv` to load the data, `d3.scaleLinear`, `d3.scaleOrdinal`, `d3.axisLeft`, and `d3.axisBottom` to build the plots, and `schemeSet1` for the categorical color palette. Diagonal charts display the field name as a title.

Ppkdvalis
90% match