Iris dataset

100%

✓ Published0🌍 Public

Last edited Dec 29, 2021

Created on Dec 29, 2021

This scatterplot displays the Iris dataset, plotting sepal length on the x-axis and sepal width on the y-axis for each flower sample. The visualization is built with React and D3 v7, using d3.scaleLinear to map data ranges to pixel coordinates within an SVG canvas. Circle marks are generated from the dataset loaded via d3.csv, with axis components rendered as SVG groups containing tick lines and labels. The code includes tooltips via SVG `<title>` elements, though the example page also references an unrelated HTML page and video.

AI-generated description

A bare minimum HTML page.

MIT Licensed

Similar vizzes

Loading thumbnail…

Iris Dataset

This scatterplot visualizes the Iris dataset, plotting sepal length against sepal width for individual flower samples. The code loads CSV data via the `d3.csv` utility and renders the points as circles using React components with SVG. Axes are constructed with `d3.scaleLinear` and custom tick components, while D3’s `extent` and `max` functions determine the scales’ domains. The visualization uses a clean, minimal design with teal markers and labeled axes, providing a straightforward view of the distribution and relationship between these two measurements.

JJohn Jeevasaeyan

96% match

Loading thumbnail…

Iris Scatter Plot

This scatter plot visualizes the Iris dataset, plotting sepal length against sepal width for individual flower samples. Each circle represents a data point, with a tooltip revealing the precise x-axis value on hover. The visualization is built with React and D3 v6, using D3's `scaleLinear` for axis scaling and `extent` to compute the data domain. SVG rendering is used for all graphical elements, including custom axis components that generate tick marks and labels. Data is loaded asynchronously as CSV from a remote URL using D3's `csv` function.

HHeidi Stockton

96% 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

96% 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

95% match

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

95% match

Loading thumbnail…

Scatter Plot

This scatter plot displays the Iris dataset, plotting sepal width against sepal length for individual flowers. The visualization is rendered as an SVG using React components, with D3.v7 utility functions like `d3.csv` to load data and `d3.scaleLinear` with `d3.extent` to map data values to pixel coordinates. The chart includes labeled axes with grid lines and translucent turquoise circles, each featuring a tooltip that reveals the exact measurements on hover.

Sszchee1

95% match

Loading thumbnail…

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and sepal width on the y-axis. Each circle represents a flower sample, with axis labels and tick marks rendered using React components that call d3.scaleLinear, d3.extent, and d3.max. The SVG circles include a title element for tooltips, showing the sepal length value on hover. The code uses d3.csv for data loading and d3.format for axis tick formatting.

MMark Lam

95% match

Loading thumbnail…

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and sepal width on the y-axis. Each circle represents a flower sample, with a native SVG `<title>` element providing a tooltip on hover. Built with React and D3 v7, the visualization uses `scaleLinear` and `extent` to compute the scales, while custom `AxisBottom` and `AxisLeft` components render the tick marks and labels. The code loads data via D3’s `csv` function, and styling applies distinct colors to the marks and axis elements.

GGabriel

95% match