Skip to main content
SimilarExport ZIP
100%

Iris-scatter-plot

✓ Published0🌍 Public
Wwilliamkuo2000
Last edited Oct 1, 2022
Created on Oct 1, 2022
Forked from HTML Starter

This interactive scatter plot visualizes the classic Iris dataset, allowing users to compare any combination of sepal and petal measurements via dropdown menus. Each point represents a flower sample, colored by species (setosa, virginica, or versicolor) using D3 v6’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`. The visualization dynamically re-renders the SVG on selection changes, with axis labels indicating the chosen attributes. Data is loaded as CSV from a GitHub gist, and the code uses d3.csv, d3.select, and d3.join to update circles.

AI-generated description

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

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Iris Scatter Plot

This interactive scatter plot displays the classic Iris dataset, allowing users to compare any two measurements (sepal and petal length or width) by selecting them from dropdown menus. The visualization uses D3v5's `scaleLinear` and `extent` to compute axes, with a smooth 1-second transition between selections. Points are colored by Iris species (setosa, versicolor, virginica) using red, green, and blue, and the chart includes axis labels, gridlines, and a legend. The React-based code fetches data from a CSV file via `csv` and renders using SVG.

CChiuyc
94% match
Loading thumbnail…

Iris Scatter Plot v3

This interactive scatter plot visualizes the Iris dataset, plotting sepal and petal measurements against each other. Users can select different attributes for the x and y axes via dropdown menus, with each circular mark representing an individual flower. The visualization uses React components with D3 v7 scales (scaleLinear) and the extent function to compute domains, rendering SVG circles with hover tooltips. Data loads asynchronously from a CSV file using the d3.csv method.

JJohn Lewis
94% match
Loading thumbnail…

Iris Scatter Plot

An interactive scatter plot visualizes the classic Iris dataset, mapping sepal and petal measurements to the x and y axes. The visualization offers two dropdown menus that let users change which flower attribute is displayed on each axis. The code uses D3 v5 to load the CSV data, create linear scales, and render SVG circles that transition to new positions with a one-second animation. Points are colored by iris species (setosa, versicolor, or virginica), with a legend and axis labels rendered via `d3.axisBottom` and `d3.axisLeft`.

Wwinniepooh520
94% match
Loading thumbnail…

109550057_Iris Scatter Plot

This interactive scatter plot visualizes the Iris flower dataset, allowing users to explore relationships between sepal and petal measurements across three species: setosa, versicolor, and virginica. The visualization uses dropdown menus to dynamically select which measurement appears on the x- and y-axes, with each species distinguished by color and labeled in a legend. The code employs D3 v5’s `select`, `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to load data, render SVG circles, and update the chart upon user selection. Data comes from the classic Iris dataset, presented as an SVG with semi-transparent points.

Jjasonlovechu
94% match
Loading thumbnail…

Iris Scatter Plot

This interactive scatter plot visualizes the classic Iris dataset, showing measurements of sepal and petal dimensions colored by flower species. Users can select which attributes to display on the x- and y-axes using dropdown menus, with hover interactions fading non-selected species. Built with React and D3 v5, it renders SVG circles using `scaleLinear` and `scaleOrdinal` for positioning and color encoding. The visualization includes custom axis components, a color legend, and tooltips, with data loaded via D3's `csv` parser and formatted using `d3.format`.

TThe-World-Muda
94% match
Loading thumbnail…

Iris Scatter Plot_0713316

This interactive scatter plot visualizes the classic Iris dataset, displaying the relationships between four flower measurements (sepal length, sepal width, petal length, petal width). Users can select which measurements appear on the x- and y-axes via dropdown menus, with points colored by iris species (setosa, versicolor, virginica). The visualization uses React for component state management and D3 v5 APIs including `csv` for data loading, `scaleLinear` for axis scaling, and `scaleOrdinal` for categorical coloring. Rendered as SVG with custom axes, the plot updates dynamically when users change attribute selections.

Xx112358
94% match
Loading thumbnail…

Iris Scatter Plot

This interactive scatter plot visualizes the Iris dataset, showing relationships between sepal and petal measurements for three flower classes. Users can dynamically select which measurement appears on each axis via dropdown menus, with points colored by species (setosa, versicolor, virginica). Built with D3 v5, the visualization uses d3.csv for data loading, scaleLinear for axis scaling, and axisBottom/axisLeft for rendering gridlines. The render function rebuilds the SVG scene on each axis change, updating scales and redrawing circles accordingly.

LLockingChiao
94% match
Loading thumbnail…

Iris visualize

This interactive scatterplot displays the classic Iris flower dataset, allowing users to compare any two of the four measured features—sepal length, sepal width, petal length, and petal width—by selecting them from dropdown menus. Each of the 150 flowers is rendered as a semi-transparent circle colored by species, with a legend identifying the three Iris classes. Built with React and D3 v5, the visualization uses `d3.csv` to load the data, `d3.scaleLinear` and `d3.extent` to compute scales, and `d3.axisBottom` and `d3.axisLeft` for the axes. A `change` event listener re-renders the plot whenever the axis selections change.

Pplchao
94% match