Skip to main content
SimilarExport ZIP
100%

Fork of D3 Starter

✓ Published1🌍 Public
Aatmr0
Last edited Nov 17, 2023
Created on Nov 16, 2023
Forked from D3 Starter

This visualization demonstrates a scatter plot of the Iris dataset, mapping petal length against sepal length with circular marks. The code uses D3 version 7 with the `d3-selection-multi` extension to simplify attribute setting. It employs `scaleLinear` for axes, `extent` for domain calculation, and `axisLeft`/`axisBottom` for rendering ticks. The reusable `scatterPlot` function exposes setter methods for width, height, data, margins, and accessor functions, following a module pattern. The data is loaded asynchronously from a CSV file via `d3.csv`, with numeric parsing applied to each row before rendering as SVG circles.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of D3 Scatter Plot

This example renders the Iris Dataset as a scatter plot, mapping petal length to the x-axis and sepal length to the y-axis. It uses D3 v6’s `csv` loader to fetch the data, `scaleLinear` with `extent` to compute scales, and `axisLeft`/`axisBottom` to draw the axes. The plot is drawn as SVG circles using `select` to append elements and a `join` operation for efficient circle creation. The visualization adapts to the full browser window, with tick labels styled at 24 pixels.

BBakunya | Kirisaki Rem
93% match
Loading thumbnail…

Fork of D3 Starter

This visualization displays the classic Iris dataset as a scatter plot, mapping sepal length to the x-axis and petal length to the y-axis, with points colored by species. Using d3.csv to load the data, it employs d3.scaleLinear for both axes and d3.scaleOrdinal with d3.schemeTableau10 for color encoding. The SVG output includes axes via d3.axisBottom and d3.axisLeft, interactive hover tooltips through appended circles and title elements, plus a legend and axis labels. The chart is rendered entirely with d3.v7 and SVG elements.

AAnurup Reddy
93% match
Loading thumbnail…

Fork of D3 Starter

This example shows a scatterplot of the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis, with an input field that adjusts the x-axis domain. The code uses D3 v7's `scaleLinear`, `axisBottom`, and `axisLeft` to render the axes, with `transition().duration(1000)` animating axis rescaling and circle repositioning when the domain changes. Data is loaded via `d3.csv` from a GitHub-hosted CSV file, and the SVG viewport uses `preserveAspectRatio` for responsive scaling.

DDaveCumin
93% match
Loading thumbnail…

Fork of 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 encodes data points as circles using D3’s `scaleLinear` to compute positions from the dataset’s extent. The visualization is rendered as an SVG in a full-window view, with axes generated via `axisLeft` and `axisBottom`. Data is loaded as CSV using `d3.csv` with numeric parsing, and marks are joined to the DOM with `selectAll` and `join`. The code is a vanilla HTML/JavaScript implementation using D3 v6.

Ssirenajbpearl@gmail.com
93% match
Loading thumbnail…

Fork of 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 encodes data points as circles using D3’s `scaleLinear` to compute positions from the dataset’s extent. The visualization is rendered as an SVG in a full-window view, with axes generated via `axisLeft` and `axisBottom`. Data is loaded as CSV using `d3.csv` with numeric parsing, and marks are joined to the DOM with `selectAll` and `join`. The code is a vanilla HTML/JavaScript implementation using D3 v6.

Ssirenajbpearl@gmail.com
93% match
Loading thumbnail…

Fork of D3 Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses D3 v6 to load CSV data, apply linear scales via `d3.scaleLinear`, and render circles with SVG. The axes are generated using `d3.axisLeft` and `d3.axisBottom`, with margins adjusting the plot area to fill the viewport.

Wwilliam3333
92% match
Loading thumbnail…

Fork of D3 Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length to the x-axis and sepal length to the y-axis. Each flower is rendered as a fixed-radius circle, with axes labeled via `d3.axisLeft` and `d3.axisBottom`. The code loads CSV data using `d3.csv`, parses numeric values, and applies `d3.scaleLinear` with `d3.extent` to set domains. SVG circles are appended using `selectAll().data().join()`, while margins and window dimensions position the plot.

RRichard
92% match
Loading thumbnail…

Fork of D3 Scatter Plot

This example visualizes the Iris Dataset as a scatter plot, mapping petal length on the x-axis and sepal length on the y-axis. It uses D3 v6 APIs including `csv` for data loading, `scaleLinear` for scaling, and `axisLeft` and `axisBottom` for axes. The SVG circles are rendered via `selectAll` and `join`, with a fixed radius. The plot fills the browser window, using `window.innerWidth` and `window.innerHeight` to size the chart, and includes tick labels with 24px font styling.

JJordi
92% match