Stylised scatterplot iris

100%

Stylised scatterplot iris

✓ Published3🌍 Public

Last edited Jan 27, 2022

Created on Jan 27, 2022

This stylised scatterplot visualizes the classic Iris dataset, plotting petal length against sepal width for individual flowers. Built with React and D3 v5, it renders circles as SVG elements with a distinctive gold fill, incorporating a custom tooltip that displays values on hover. The visualization uses d3.scaleLinear with `.nice()` for axis scaling, d3.extent for domain calculation, and d3.format with SI notation for axis tick labels. Data loads asynchronously via d3.csv from a GitHub Gist, with each numeric field coerced to a number.

AI-generated description

A program that shows the top 10 most populous countries as a pathetic bar chart with no axes.

Data: United Nations World Population Prospects 2019.

MIT Licensed

Similar vizzes

Loading thumbnail…

Stylized Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis against sepal width on the y-axis. Each circle represents one flower sample, with hover tooltips revealing the precise x-value. Built with React and D3 v5, the visualization uses `scaleLinear` for both axes, `extent` to set domains, and `format` for tick labels. The SVG rendering includes custom axis components with tick marks and labels, while data loading relies on D3’s `csv` method with type coercion for numeric values. The chart’s teal circles and Poppins typography give it a modern, stylized appearance.

DDenise Mauldin

95% match

Loading thumbnail…

Stylized Scatterplot

This stylized scatterplot visualizes the Iris Dataset, mapping petal length against sepal width for individual flowers. The visualization uses D3.js v7 scales and axes within a React component, rendering marks as SVG circles with a teal fill. Data is loaded asynchronously via D3’s `csv` parser, with numeric conversion applied to all measurements. The axes employ custom tick components, and tooltips are provided through SVG `<title>` elements, formatted using D3’s `format` function. The visual style features a clean design with Poppins typography and subtle grid lines.

Rrmgoldberg24

95% match

Loading thumbnail…

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris Dataset, showing petal length against sepal width as teal circles. Built with React and D3 v5, it renders as an SVG with custom, reusable components for axes and marks. The visualization uses D3's `scaleLinear` for scaling, `extent` and `max` for domain calculations, and `format` for tick labels. The code draws axis ticks and labels with styled lines and text, and each data point is a circle with a tooltip, pulling data from a CSV URL.

Sstefichim

95% match

Loading thumbnail…

Stylized Scatter Plot

This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and sepal width on the y-axis, with each flower represented as a teal circle. Built with React and D3 v7, the visualization uses d3.scaleLinear for both axes and d3.extent to compute the domain from the data. SVG circles render the marks, while React components for the axes and marks handle the tick lines, labels, and hover tooltips. The data loads asynchronously via d3.csv from a remote gist, and the chart applies a custom Poppins font and muted color palette.

Jjiro2017

95% match

Loading thumbnail…

Stylised scatter plot

This stylized scatter plot visualizes the Iris Dataset, plotting petal length against sepal width for individual flowers. The chart uses React with D3 v5 scales and SVG rendering, employing `scaleLinear` and `extent` to map data to coordinates. Axis components are custom-built with React, and data is loaded asynchronously via `d3.csv`. Styling includes custom fonts from Google Fonts and a muted color palette for circles and tick marks. Tooltips are implemented using native SVG `<title>` elements, triggered on hover.

SShuyu Zheng

95% match

Loading thumbnail…

Stylized Scatter Plot

This scatter plot visualizes the Iris Dataset, mapping petal length on the x-axis against sepal width on the y-axis. Each circle represents an individual iris flower, with hover tooltips revealing the precise petal length value. Built with React and rendered as SVG, the visualization uses d3.scaleLinear and d3.extent to compute scales from the CSV data loaded via d3.csv. Custom React components handle axes and marks, with styling applied through CSS classes for ticks, labels, and the teal-colored data points.

Jjwlam83

94% match

Loading thumbnail…

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris flower dataset, mapping petal length against sepal width for individual specimens. The visualization uses D3.js utilities—including `csv` for data loading, `scaleLinear` for axes, and `extent` for domain calculation—combined with React to render SVG circles and axis ticks. Each data point is drawn as a small teal circle with a tooltip displaying its value. The chart includes labeled axes with customized tick formatting and a responsive layout, all styled with the Poppins font family.

FFonda Irena Santoso

94% match

Loading thumbnail…

Stylized Scatter Plot

This stylized scatter plot visualizes the Iris dataset, plotting petal length against sepal width for individual flowers. The code uses React to structure the SVG rendering, with D3 v5 functions like `scaleLinear`, `extent`, and `format` for scales and tick formatting. Axes are built with the custom `AxisBottom` and `AxisLeft` components, while circular marks include a native `<title>` tooltip. The plot uses the Poppins font and D3’s `csv` loader to fetch data from a gist URL.

Ccacho2294

94% match