D3 Scatter Plot

Reusable D3 Scatter Plot

This reusable D3 scatter plot displays the Iris Dataset, plotting petal length against sepal length. The implementation uses a custom `scatterplot` function that takes configurable parameters for data, dimensions, margins, and point radius. It employs D3's `scaleLinear` for axis scaling, `scaleOrdinal` for symbol mapping, and `axisLeft`/`axisBottom` for rendering axes. The SVG visualization is generated declaratively with data-driven circles, and the code demonstrates a modular approach for creating reusable chart components with D3 7.6.1.

Yyankesswang

Reusable D3 Scatter Plot

This example demonstrates a scatter plot of the Iris dataset, mapping petal length to the x-axis and sepal length to the y-axis. The visualization uses D3 v7 APIs including `d3.csv`, `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to load data, scale positions, and render axes. Circles of fixed radius are drawn as SVG elements with coordinates computed from the scaled values. The chart fills the browser window, with the data sourced from a GitHub Gist and rendering done entirely in SVG.

KKerim

D3 Scatter Plot

A D3 scatter plot displays the Iris Dataset, plotting petal length on the x-axis against sepal length on the y-axis. Built with d3.v6, it uses `d3.csv` to load the data, `d3.scaleLinear` for both axes, and `d3.extent` to compute the domains. Circles are rendered via SVG elements in the HTML body. The chart includes `d3.axisLeft` and `d3.axisBottom` for tick labels.

PPlatoch

D3 Scatter Plot

This D3 scatter plot visualizes the Iris Dataset, plotting petal length against sepal length for individual data points. The SVG visualization uses `d3.csv` to load data, `d3.scaleLinear` for axis scaling, and `d3.axisLeft` and `d3.axisBottom` to render axes. Circles are drawn using a `join` operation to bind data attributes to SVG circle elements. The chart is responsive, filling the browser window with margins applied around the plot area.

NNaimisha-M

D3 Scatter Plot

This D3 scatter plot visualizes the Iris Dataset, mapping petal length on the x-axis against sepal length on the y-axis. Each flower is represented by a circle, with scales derived from the data’s extent using d3.scaleLinear. The SVG rendering uses d3.select and .join() to create the circles, while d3.axisLeft and d3.axisBottom generate the labeled axes. Data is loaded asynchronously via d3.csv, and the plot fills the browser window, with margins and a fixed radius applied to all points.

DDINESH SAI BOPPANA

D3 Scatter Plot

This D3 scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and sepal length on the y-axis. The SVG rendering uses d3.scaleLinear to transform raw CSV values into pixel coordinates, with d3.min and d3.max defining the domains. Circles represent individual flowers, colored in a teal tone, while d3.axisLeft and d3.axisBottom generate labeled axes. The code loads data via d3.csv and appends text labels for both axes, using a full-window responsive layout with fixed margins.

Aainhoadieruiz@gmail.com

Reusable (ProD3js pattern) D3 Scatter Plot

This reusable D3 scatter plot displays the Iris dataset, plotting petal length against sepal length as circles in an SVG chart. Built with the Pro D3.js reusable chart module pattern, the code uses d3.csv to load data, d3.scaleLinear for axis scales, and d3.axisBottom and d3.axisLeft for the axes. The chart applies a standard margin convention and container groups for organization. The implementation demonstrates how to encapsulate chart components—scales, axes, and SVG construction—into a modular function, allowing the same scatter plot to be easily applied to different data selections.

JJimMaltby

Ccharlieronchetti@gmail.com

D3 Scatter Plot

This D3 scatter plot visualizes the classic Iris dataset, mapping petal length on the x-axis against sepal length on the y-axis for each flower sample. The visualization uses D3 v7's `csv` loader to fetch and parse the remote dataset, then applies `scaleLinear` and `extent` to compute the axis domains from the numeric columns. SVG circles are drawn using a data join, with axes generated via `axisLeft` and `axisBottom`. The chart is rendered in vanilla HTML and JavaScript, filling the browser viewport dynamically.