Skip to main content
SimilarExport ZIP
100%

ICE6 Iris Dataset Scatter Plot

✓ Published0🌍 Public
BBVNPK001
Last edited Mar 27, 2022
Created on Mar 7, 2022
Forked from HTML Starter

This visualization displays the Iris dataset as a scatter plot, mapping petal length on the x-axis and petal width on the y-axis. Each point is colored by species—blue for setosa, red for versicolor, and black for virginica. The code uses d3.csv to load the data, d3.scaleLinear and d3.extent to set scales, and d3.axisLeft and d3.axisBottom to render axes. Although sepal length and width are parsed, they are not used for positioning; circles are drawn via SVG with a fixed radius.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

ICE-6 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, with each point colored by species (setosa, versicolor, or virginica). The visualization uses D3 v6’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to construct axes, while circles are bound to the data via `selectAll` and `join`. Data is loaded asynchronously from a CSV URL using D3’s `csv` function, with numeric parsing applied to all measurements. The chart fills the browser window, displaying axis labels for petal length and sepal length.

Ggayathrikavya
96% match
Loading thumbnail…

ICE- 6 Iris Dataset Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length and width on the x- and y-axes while coloring each point according to its species (setosa, versicolor, or virginica). Using D3 v6, the code loads the CSV data with `d3.csv`, scales the axes with `d3.scaleLinear`, and renders circles as SVG elements. It labels the axes as “Petal-length” and “sepal-length” (the latter rotated via an SVG transform). The plot fills the browser window, with axis ticks generated by `d3.axisLeft` and `d3.axisBottom`.

Ssaidhiraj16
95% match
Loading thumbnail…

ICE-6 Scatter Plot

This scatter plot visualizes the Iris dataset, plotting petal length against petal width, with each data point colored by species (blue for setosa, black for versicolor, red for virginica). The SVG visualization uses D3 v6 scales (scaleLinear), axes (axisLeft, axisBottom), and data joins to render circles, while React serves as the framework. The code loads data from a CSV URL and parses numeric fields, with additional attributes stored but not affecting the visual encoding.

Kkottenikhil
95% match
Loading thumbnail…

ICE - 6 Iris Dataset Scatter Plot (11508271)

This interactive scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis. Each point is colored by species (setosa in red, versicolor in green, virginica in magenta) using D3 v6’s scaleLinear, axisBottom, and axisLeft. The SVG circles also store sepal length and width as rx and ry attributes, though the visual radius remains constant. Data is loaded as CSV via d3.csv from a GitHub gist.

Aabdulmoin9624
95% match
Loading thumbnail…

ICE 6 Scatter Plot

This D3.js scatter plot visualizes the Iris Dataset, plotting petal length on the x-axis and petal width on the y-axis. Data points are color-coded by species: pink for setosa, green for versicolor, and blue for virginica. The visualization encodes each flower’s sepal length and width as the `rx` and `ry` attributes of the circles, adding an additional dimension to the plot. Built with vanilla HTML, it uses `d3.csv` to load the data, `d3.scaleLinear`, `d3.extent`, and `d3.axisLeft`/`d3.axisBottom` for scales and axes, and appends SVG circles to render the marks.

SSnigdha6698
95% match
Loading thumbnail…

ICE-6 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length and width while coloring points by species (setosa, versicolor, virginica). The code loads CSV data via `d3.csv`, scales positions with `d3.scaleLinear`, and renders circles as SVG elements using `d3.selectAll` and `join`. Axes are created with `d3.axisLeft` and `d3.axisBottom`, with custom red axis labels. The visualization uses a React framework shell but relies on vanilla D3 v6 for rendering directly into the DOM.

MMgk1255
95% match
Loading thumbnail…

Scatter Plot - ICE6

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis against sepal length on the y-axis, with each point colored by species (setosa, versicolor, or virginica). The code uses d3.csv to load the data, d3.scaleLinear for both axes, and d3.axisLeft and d3.axisBottom to render ticks. Circles are appended and filled via d3-selection, with hardcoded color values per species. The SVG spans the full window, and axis labels are added as text elements with rotated positioning.

RRaajithaSabbineni
95% match
Loading thumbnail…

ICE-6 Scatter Plot

This scatter plot visualizes the Iris Flower Dataset, mapping sepal length on the x-axis and petal length on the y-axis. Points are colored by species—blue for setosa, yellow for versicolor, and red for virginica—using filled circles rendered as SVG elements. Built with D3 v6 and React, the visualization uses `d3.csv` to load data from a GitHub Gist, `d3.scaleLinear` for continuous axes, and `d3.axisLeft` and `d3.axisBottom` to draw labeled axes. The plot dynamically sizes to the browser window.

RRamya19-hub
94% match