Skip to main content
SimilarExport ZIP
100%

Scatter Plot for Iris dataset

✓ Published2🌍 Public
LLG0498
Last edited Mar 5, 2022
Created on Mar 4, 2022
Forked from HTML Starter

This scatter plot displays the relationship between petal length and sepal length for the Iris dataset. The visualization uses D3 v6 to load CSV data, map values to screen coordinates with linear scales, and render circles as data points via SVG. D3’s `select`, `append`, and `.join()` methods construct the chart, while the `axisLeft` and `axisBottom` functions generate labeled axes. A rotated text element provides the y-axis label, and the plot fills the browser window dynamically based on `window.innerWidth` and `window.innerHeight`.

AI-generated description

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

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

scatter plot

This scatter plot visualizes the Iris dataset, plotting petal length on the x-axis against sepal length on the y-axis. It uses d3.csv to load the data, d3.scaleLinear for scaling, and d3.axisLeft and d3.axisBottom for tick marks. The SVG circles are rendered pink, matching the chart’s background, with margins sized proportionally to the viewport. The code reads window dimensions and appends the chart directly to the body.

Jjmetzg11alpine
94% match
Loading thumbnail…

Scatter Plot

This scatter plot visualizes the Iris Dataset, comparing petal length against sepal length for individual flowers. Built with D3 v6, the SVG rendering uses `scaleLinear` to map data extents to pixel coordinates, with `axisLeft` and `axisBottom` generating labeled axes. Circles are joined to the data via `selectAll().data().join()`, while margins and full-window dimensions position the chart. The code asynchronously loads the comma-separated values using `csv` and parses numeric fields before plotting.

Vvidhyanamini
94% match
Loading thumbnail…

ScatterPlot

This scatterplot displays the relationship between petal length and sepal width in the Iris dataset, with each data point represented as a circle. The visualization uses React and D3 v7, employing `scaleLinear` for both axes and rendering SVG elements through components like `AxisBottom`, `AxisLeft`, and `Marks`. The axes include formatted tick labels and axis titles, while circles include HTML title tooltips. Data is loaded asynchronously from a CSV file using D3’s `csv` function and parsed in `useData`.

Ddleoenri
94% match
Loading thumbnail…

Scatter Plot

This scatter plot displays the relationship between petal length and sepal width in the Iris flower dataset. The visualization loads CSV data from a GitHub gist using d3.csv, then maps each observation to a circle positioned by linear scales. The code builds axes as React components with SVG, using d3.scaleLinear to compute domains and ranges, and formats tick labels with d3.format. Tooltips appear on hover through SVG title elements.

JJohn Huang
94% match
Loading thumbnail…

D3 Scatter Plot

This scatter plot visualizes the classic Iris dataset by mapping petal length to the x-axis and sepal length to the y-axis, using D3 v6’s `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` functions. Circles are rendered as SVG elements with a fixed radius of 5 pixels, positioned via `cx` and `cy` attributes. The chart fills the browser window by setting width and height to `window.innerWidth` and `window.innerHeight`, with margins applied to the scales. The code fetches the data as CSV from a GitHub gist, parses numeric fields, and applies a data join with `selectAll` and `.join`.

JJetlinZ
94% match
Loading thumbnail…

Scatterplot of Iris

This scatterplot of the Iris dataset displays the relationship between petal length and sepal width using a D3 linear scale for each axis. The visualization uses React with D3’s `scaleLinear` and `d3.extent` to map the data from the CSV file loaded via `useData`. SVG circles render each data point with a native `<title>` element for basic tooltips, while custom `AxisBottom` and `AxisLeft` components generate tick marks and labels. The chart applies a teal fill for marks and gray axis styling from the Poppins-font CSS.

SSamuel Oseh
94% match
Loading thumbnail…

Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. Using d3.scaleLinear and d3.extent to compute domains, it positions circles in an SVG via d3.select, data joins, and the join() method. Axes are rendered with d3.axisLeft and d3.axisBottom, while the CSV is loaded and parsed with d3.csv, converting string values to numbers. The plot updates to fill the browser window.

AArturo Guevara
94% match
Loading thumbnail…

D3 Scatter Plot

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. It displays each data point as a circle in an SVG rendered at full window size. The code uses d3.csv to load the data, d3.scaleLinear with d3.extent for axes, and d3.axisLeft and d3.axisBottom to draw the scales.

Sshmouelsamares
93% match