Fork of Reusable D3 Scatter Plot

Fork of Reusable D3 Scatter Plot

This example presents an animated scatter plot of the Iris dataset, cycling through different flower measurements every two seconds. A reusable D3 scatter plot module uses `scaleLinear`, `axisLeft`, and `axisBottom` to render circles in an SVG. The code imports data via `csv` from D3 v6, parses numeric columns, and updates the x-axis mapping with `setInterval`. The full-window visualization includes custom styling from the Share Tech font.

PPoojaThandra

Fork of Reusable D3 Scatter Plot

This example shows a reusable scatter plot of the Iris dataset, cycling through four measurement columns every two seconds. It animates the x-axis mapping while keeping sepal length on the y-axis. The chart uses D3 v6 APIs including `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `csv` for data loading. A custom `scatterPlot` function builds the SVG, and circles transition between positions as the x-value changes. The visualization fills the viewport and applies styling from the Share Tech font.

Aayodhyanandh

Fork of Reusable D3 Scatter Plot

This example demonstrates a reusable scatter plot built with D3.js that visualizes the Iris dataset, cycling through different attribute combinations on the x-axis every two seconds. The chart is implemented using a configurable `scatterPlot` function that leverages D3’s `scaleLinear`, `extent`, and axis helpers to render SVG circles and axes. Data is loaded asynchronously from a CSV file using `d3.csv`, and the plot updates dynamically by rebinding the x-value mapping and re-rendering through the SVG container. The visualization uses a custom font and fills the entire browser window.

RRohith arabati

Fork of Reusable D3 Scatter Plot

RRohith arabati

Fork of Reusable D3 Scatter Plot

A scatter plot visualizes the Iris Dataset, with points representing flowers and axes mapping petal width against sepal length. Built with D3 v6, it uses `scaleLinear`, `axisLeft`, and `axisBottom` to render axes and SVG circles for data marks. The x-axis mapping cycles through four dataset columns every two seconds via `setInterval`, animating the plot's perspective. The chart is implemented as a reusable function following the "Towards Reusable Charts" pattern, with animated updates triggered by re-calling the plot on the same SVG selection.

OOska Cheng

Fork of Fork of Reusable D3 Scatter Plot

This example visualizes the Iris dataset as an animated scatter plot, cycling through four flower measurements as the x-axis every two seconds. Built with D3 v6, it demonstrates a reusable chart pattern where a `scatterPlot` function encapsulates scales, axes, and circle rendering via `selection.join`. The chart updates smoothly by calling `svg.call(plot)` with new x-value accessors, while D3's `scaleLinear` and `axisLeft`/`axisBottom` handle positioning and ticks. The full-screen SVG renders 150 data points with a fixed radius, using data loaded from a CSV and displayed with a tech-themed font.

GGogineni44

Fork of Reusable D3 Scatter Plot

This example presents an animated scatter plot of the Iris dataset, cycling through different flower measurements (petal width, sepal width, petal length, and sepal length) on the x-axis every two seconds. The visualization is created with D3 and follows a reusable chart pattern, using `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` from the `d3` library. It renders as an SVG, with circles positioned by the current x and y value scales, and axes that update on each interval.

JJyothicherukuri

Fork of Reusable D3 Scatter Plot

This interactive scatter plot visualizes the Iris dataset, displaying points that correspond to different flower measurements. The chart cycles through four attribute combinations every two seconds, alternating which flower features are mapped to the x-axis while keeping sepal length on the y-axis. Built with D3 v6, the visualization uses reusable chart functions, `scaleLinear` for axis scaling, and `setInterval` to drive the animation. SVG circles and axes render the data, sourced from a GitHub-hosted CSV file, with a custom font applied to all text elements.

SSreejaBellamkonda