Skip to main content
SimilarExport ZIP
100%

Fork of Scatterplot with Iris Data

✓ Published0🌍 Public
Iindira-antgrvty
Last edited Jan 19, 2023
Created on Jan 19, 2023

This example visualizes the Iris dataset as a scatterplot, mapping sepal length on the x-axis and sepal width on the y-axis. Each circle represents a sample, colored uniformly in teal, with a title tooltip showing the x-value. The visualization is built using React and D3 v7, with scales from `d3.scaleLinear` and axes rendered as SVG components. Data is loaded asynchronously via `d3.csv` from a remote gist, and the layout uses fixed margins and SVG groups for positioning.

AI-generated description

A program that loads in some data about CSS colors

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Scatterplot with Iris Data

This example visualizes the Iris dataset as a scatterplot, mapping sepal length on the x-axis and sepal width on the y-axis. Each circle represents a sample, colored uniformly in teal, with a title tooltip showing the x-value. The visualization is built using React and D3 v7, with scales from `d3.scaleLinear` and axes rendered as SVG components. Data is loaded asynchronously via `d3.csv` from a remote gist, and the layout uses fixed margins and SVG groups for positioning.

Iindira-antgrvty
100% match
Loading thumbnail…

Fork of Scatterplot with Iris Data

This example visualizes the classic Iris dataset as a scatterplot, mapping sepal length to the x-axis and sepal width to the y-axis, with each point colored by species. The React component uses d3.scaleLinear and d3.extent to set the scales, while d3.csv loads the data from a gist. SVG circles are rendered with embedded tooltips showing the sepal length value on hover. The chart includes labeled axes, a bottom axis with tick formatting via d3.format, and a left axis, all built from custom React components that generate SVG elements.

MM
95% match
Loading thumbnail…

Fork of Scatterplot with Iris Data

This example displays a scatter plot of the classic Iris dataset, mapping sepal length along the x-axis and sepal width on the y-axis. Each data point is rendered as a blue circle with a tooltip showing its x-value, using React to construct the SVG elements and D3.js's `scaleLinear` and `extent` functions to compute scales and domains. The chart includes labeled axes and tick marks, with data loaded from a remote CSV file via D3's `csv` parser.

AArefa Patwary
94% match
Loading thumbnail…

Fork of Scatterplot with Iris Data

This scatterplot visualizes the Iris Dataset, plotting petal length against sepal width for individual flowers. The visualization uses React to render SVG elements, with D3 v7 providing the linear scales (`scaleLinear`) that map data values to pixel coordinates. Axis components generate ticks and labels, while circular marks represent each data point. The chart includes a tooltip showing the x-axis value for each point. The dataset is loaded asynchronously via D3's `csv` function from a remote gist URL.

AArefa Patwary
93% match
Loading thumbnail…

Fork of Scatter Plot-iris data

This scatter plot visualizes the Iris dataset, mapping sepal length to the x-axis and sepal width to the y-axis. Each flower is rendered as a large blue circle using SVG within a React framework, with the plot area offset by margins via a group transform. The code loads data from a remote CSV file using D3’s `csv` function, converts values to numbers, and scales positions with `scaleLinear` and `extent`. The chart fills the browser window, as the body has no margin and hidden overflow.

NNita
93% match
Loading thumbnail…

Fork of Scatterplot with Iris Data

This is a scatterplot visualization of the Iris dataset, displaying measurements of sepal and petal dimensions for different iris species. The chart uses SVG circles to represent individual data points, with position determined by the selected attributes on the x and y axes. The visualization is built using React components that leverage D3.js v6 for data loading and scaling, with custom axis elements rendered as SVG groups. The data is fetched from a remote CSV file and parsed with D3's `csv()` function, then mapped to circle positions using linear scales for both axes.

MM
93% match
Loading thumbnail…

Fork of Scatterplot with Iris Data - cat input

This interactive scatterplot displays the classic Iris dataset with sepal length on the x-axis, sepal width on the y-axis, and species information as a categorical input. The visualization uses React components alongside D3.js v7, employing `scaleLinear` for continuous axes and `scaleBand` for categorical species positioning, though the band scale currently maps to the vertical range rather than a separate axis. SVG circles represent individual flowers, colored in teal, with native tooltips showing formatted values. The data loads asynchronously via D3's `csv` parser from a GitHub gist, and the axes are rendered as custom React components.

Aafcchilders
92% match
Loading thumbnail…

Fork of Iris Scatter Plot

This scatter plot visualizes the sepal length and width of Iris flowers from a CSV dataset. The visualization uses D3.js scaleLinear functions to map data to SVG coordinates within a React application. Axis components render tick marks and labels, while circular marks represent individual data points with tooltips. The code styles elements using CSS, including custom fonts and a teal color for the marks, and implements responsive loading with a "Loading..." indicator.

SSam Hege
92% match