Skip to main content
SimilarExport ZIP
100%

Iris Data ScatterPlot

✓ Published1🌍 Public
JJenna Hamza
Last edited Jan 4, 2023
Created on Jan 4, 2023
Forked from Stylized Bar Chart

This scatterplot visualizes the classic Iris dataset by plotting sepal length on the x-axis against sepal width on the y-axis. It uses React with d3.v7's `csv` loader to fetch and parse the data, `scaleLinear` and `extent` for continuous scaling, and renders SVG circles via a `Marks` component. Custom `AxisBottom` and `AxisLeft` components generate tick marks and labels, while CSS styles define the plot's color scheme and typography.

AI-generated description

A Scatterplot of [The Iris Dataset] (https://gist.githubusercontent.com/curran/a08a1080b88344b0c8a7/raw/0e7a9b0a5d22642a06d3d5b9bcbad9890c8ee534/iris.csv) using d3 uses React.

MIT Licensed

Similar vizzes

Loading thumbnail…

Iris scatterplot

This scatterplot visualizes the Iris flower dataset, plotting sepal length against sepal width for individual specimens. The visualization uses React with SVG rendering, while D3 v5 utilities handle data loading via `d3.csv` and scale construction with `scaleLinear` and `extent`. The code explicitly defines axes through custom `AxisBottom` and `AxisLeft` components, with circular marks rendered by a `Ticks` component. Axis labels appear rotated on the y-axis, and CSS classes style the ticks, marks, and text throughout the chart.

JJulia Hack
96% match
Loading thumbnail…

Iris Scatterplot

This example visualizes the Iris dataset, showing each flower’s sepal length against its sepal width as a point on a scatterplot. The chart uses React to render SVG circles via a custom `Marks` component, with D3 scales (`d3.scaleLinear`) and axes generated by reusable `AxisBottom` and `AxisLeft` components. Data is loaded asynchronously from a CSV file using `useData` and `d3.csv`, and hoverable tooltips are provided through SVG `<title>` elements. The visualization emphasizes clean axes and labeled tick marks for readability.

RRod* Wilhelmy
95% match
Loading thumbnail…

Iris Scatter Plot React & D3

This example visualizes the Iris flower dataset as a scatter plot, showing sepal length against sepal width. Built with React and D3 v5, it renders SVG circles for each data point, with axes and tick marks generated from D3 scales. The code uses `scaleLinear`, `extent`, and `format` from D3 for scaling and tick formatting, while React components like `AxisBottom`, `AxisLeft`, and `Marks` structure the visualization. Data is loaded asynchronously via D3's `csv` utility and parsed into numeric values.

JJeyasuriya M
94% match
Loading thumbnail…

Iris Scatter Plot

A scatter plot of the Iris dataset displays sepal length against sepal width, with each flower represented as a circle. The visualization uses React and D3 v6, with scales created via `scaleLinear` and axes rendered as SVG components. The code loads CSV data with `d3.csv`, formats tick values using `format`, and includes simple tooltips through SVG `<title>` elements.

Ee-ines
94% match
Loading thumbnail…

Iris Scatter Plot

This scatter plot visualizes the relationship between sepal length and sepal width in the Iris dataset. The React and D3 v5 code uses `scaleLinear` to map data values to SVG coordinates, with custom `AxisBottom` and `AxisLeft` components rendering ticks and labels. Each flower is drawn as a circle with a `title` element providing a native browser tooltip. Data loads asynchronously via D3’s `csv` function from a remote GitHub gist.

AAndrea Picciau
94% match
Loading thumbnail…

Iris Scatter Plot

This interactive scatter plot visualizes the Iris dataset, showing sepal length against sepal width with each flower encoded as a circular mark. Built with React and D3 v5, it renders to SVG, using `scaleLinear` for both axes and the `extent` function to set domains automatically. The code separates axis rendering into `AxisBottom` and `AxisLeft` components, while the `Marks` component draws circles with tooltips. Data loads from a CSV file via `useData`, which fetches and parses the remote dataset.

Kkatebacon32
94% match
Loading thumbnail…

Iris Scatter Plot v1

This interactive scatter plot displays sepal length against sepal width for the classic Iris dataset, with each of the 150 flowers represented as a teal circle positioned by linear scales. The visualization includes labeled axes with formatted tick marks and hover tooltips that reveal exact sepal length values. Built with React and D3 v7, the code uses d3.scaleLinear and d3.extent to map data coordinates to SVG space, while custom React components (AxisBottom, AxisLeft, and Marks) render the axes and circles from CSV data loaded via d3.csv.

JJohn Lewis
94% match
Loading thumbnail…

Iris Scatterplot

This scatterplot visualizes the Iris dataset, plotting sepal length on the x-axis against sepal width on the y-axis for each flower sample. The visualization uses React to render SVG circles within an HTML5 page, while D3 version 5 utilities—including `csv`, `scaleLinear`, `extent`, and `max`—handle data loading, scaling, and axis generation. Axis components leverage D3’s tick generation, with formatted labels and grid lines. Selections display tooltips via SVG `<title>` elements, and the layout employs fixed margins with Poppins typography for a polished presentation.

CChris Knight
94% match