Act7

Reusable D3 Scatter Plot

This example demonstrates a reusable scatter plot of the Iris dataset, cycling through different flower measurements every two seconds to show the relationship between variables. Built with D3 v6, it uses the reusable chart pattern with a closure-based `scatterPlot()` function exposing getter-setter methods for width, height, data, margins, and scales. The plot renders SVG circles with `d3.scaleLinear` for axes and `axisLeft`/`axisBottom` for ticks, updating via `selection.join()`. Data is loaded from a CSV file using `d3.csv`, while the animation is driven by `setInterval`, calling the plot again with a new x-value mapping.

NNithish Kumar

Ssaiteja.cse.rymec@gmail.com

Activity 7 Tutorial

This animated scatterplot cycles through different pairings of the Iris flower dataset’s four measurements, swapping the x-axis variable every few seconds. It demonstrates a reusable chart module built with D3 v6, using `scaleLinear`, `axisLeft`, `axisBottom`, and `extent` to render the axes and points. The visualization also includes a color-coded legend for species and loads data from a remote CSV file via `d3.csv`.

Fork of Reusable D3 Scatter Plot

This example presents a scatter plot of the Iris dataset, rotating through four numeric attributes as the x-axis variable on a two-second interval, with the y-axis fixed to sepal length. The plot animates smoothly by repeatedly invoking a reusable `scatterPlot` function, which uses D3’s scaleLinear, extent, axisLeft, and axisBottom to render axes and circles. Data is loaded from a GitHub Gist via `d3.csv`, with parsing of numeric columns, and the visualization is drawn as SVG with a full-window canvas, featuring a custom font and no user interaction.

Sson.sultan@yahoo.com

Ggalijawaharnath@gmail.com

act 7.1

This animated scatterplot explores the Iris dataset, cycling through four feature pairings on the axes every few seconds. Each point represents a flower, colored by species (setosa, versicolor, virginica) with a fixed legend and title. The visualization is built with D3.js, using `scaleLinear`, `axisLeft`, `axisBottom`, and a reusable `scatterPlot` function. SVG elements are updated via `setInterval` to swap the x-axis variable, while separate circle elements encode the current marks and static legend shapes persist.

Iris Scatter Plot

This scatter plot visualizes the Iris dataset, displaying sepal length on the x-axis and sepal width on the y-axis for three species of iris flowers. The visualization uses D3's `scaleLinear` function to map data values to pixel coordinates, with circles representing individual samples. The `xAxis` and `yAxis` functions from D3 render the axes, while custom label functions from the `@curran/axis-labels` library add axis titles. A light gray rectangle highlights the plotting area, and semi-transparent circles reveal overlapping data points. The example demonstrates a reusable plotting pattern that can be adapted to other datasets.

Jji3ji3ji3195@gmail.com

Aanisha.peddireddy@gmail.com

Activity 7 tutorial

This animated scatter plot explores the classic Iris dataset, cycling through four different feature pairings on the x-axis while y-axis remains sepal length. Built with D3.js 6.7.0, it demonstrates a reusable scatter plot module using scaleLinear, axisLeft, and axisBottom APIs. The visualization shows species-colored points (setosa, versicolor, virginica) with a static legend, and dynamically updates axes and labels via setInterval. The rendering uses SVG with custom styling, including italic axis labels and a bold title overlay.

Reusable D3 Scatter Plot

This example presents a reusable scatter plot of the Iris dataset, cycling through different feature pairs on the x-axis via an animation. The visualization uses D3 v6 to render SVG circles colored by species, with a legend and axis labels updating dynamically. The scatter plot is implemented as a configurable function via `scatterPlot()`, leveraging `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`. A `setInterval` updates the x-axis mapping, while the y-axis remains fixed to sepal length. The code loads CSV data from a Gist and displays it across the full viewport.

Aadapavaishnavi12

Reusable D3 Scatter Plot

This example demonstrates a reusable scatter plot that visualizes the Iris Dataset, displaying measurements like petal width and sepal length as colored circles. It cycles through different column pairs every two seconds, animating the axes and points to show relationships between various flower attributes. The chart uses D3 v6 APIs including `scaleLinear`, `axisLeft`, `axisBottom`, and a custom `scatterPlot` function that follows the reusable chart pattern. Data loads via `csv` from a GitHub Gist, and the SVG rendering updates smoothly as the selected variables change.

AAkrutiKhurana2103