Reusable Scatter plot Activity 8

Reusable Scatter plot Activity 8

This interactive scatter plot animates through different Iris flower measurements, cycling the x-axis between petal width, sepal width, petal length, and sepal length every few seconds. It uses D3 v6 to load CSV data asynchronously, render SVG circles colored by species, and update scales and axes via a reusable `scatterPlot` module. The visualization includes axis labels, a species legend, and a title, demonstrating dynamic data binding with `selectAll`/`join` and interval-driven transitions.

LLakshmanRangisetti

Reusable Scatter plot Activity 8

This interactive scatter plot visualizes the Iris dataset, cycling through four measurement pairs (petal width, sepal width, petal length, sepal length) on the x-axis while keeping sepal length on the y-axis. Points are colored by species (setosa, versicolor, virginica) with a legend, and axis labels update dynamically. Built with D3.js, the example demonstrates reusable chart modules via `scatterPlot()` with `scaleLinear`, `axisLeft`, and `axisBottom`, and uses SVG rendering with animations driven by `setInterval` to switch between dimensions.

BBhavyaMammai

Reusable Scatter plot Activity 8

This interactive scatter plot visualizes the Iris flower dataset, cycling through petal width, sepal width, petal length, and sepal length on the x-axis while keeping sepal length on the y-axis. Using d3.csv to load data and d3.scaleLinear with axisBottom and axisLeft for axes, the visualization updates every few seconds via setInterval, re-rendering circles with d3 transitions. Each species (setosa, versicolor, virginica) is color-coded with custom SVG circles, and a legend with colored point markers appears alongside rotating axis labels, all rendered as animated SVG in the browser.

Rrushithareddyy

Reusable Scatter plot Activity 8

This example demonstrates an interactive scatter plot that cycles through different iris flower measurements on the x-axis, using petal width, sepal width, petal length, and sepal length in sequence with animation. The visualization loads the Iris dataset via D3’s `csv` function and uses a reusable `scatterPlot` module built with D3 v6, employing `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for scales and axes. SVG circles are colored by species (setosa, versicolor, virginica) using custom color mappings, with a legend and axis labels rendered as SVG text elements. The animation updates the x-axis mapping every few seconds via `setInterval`.

NNukaShravanKumar

Reusable Scatter plot Activity 8

This interactive scatter plot visualizes the Iris dataset, displaying relationships between sepal and petal measurements. It cycles through different x-axis variables (petal width, sepal width, petal length, sepal length) in an animation, with each species point colored distinctly (skyblue, lightgreen, orange). The D3-based implementation loads data via `d3.csv`, uses a custom `scatterPlot` module that leverages `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to build the axes, and renders the animated transitions via `setInterval` and the `join` API for circles.

LLakshmanRangisetti

Reusable Scatter plot Activity 8

This interactive scatter plot visualizes the Iris dataset, mapping petal width against sepal length across three flower species distinguished by color. Built with D3.js, the visualization uses SVG circles and a reusable scatterPlot function that cycles through different column combinations on the x-axis every few seconds via setInterval. The code employs d3.csv for data loading, d3.scaleLinear for axis scaling, and d3.axisBottom/axisLeft for tick marks, while custom labels, a color legend, and a title are appended directly to the SVG.

MmNamratha25

Reusable Scatter plot Activity 8

This interactive scatter plot visualizes the Iris dataset, displaying relationships between sepal and petal measurements with color-coded species markers. The visualization cycles through different attribute combinations on the x-axis at regular intervals, while the y-axis remains fixed on sepal length. Built with D3.js, it uses reusable scatter plot components, including scaleLinear for coordinate mapping, axisBottom and axisLeft for axes, and setInterval for animation. The SVG rendering includes custom legends, rotated axis labels, and title styling, with data loaded from a CSV file and parsed through d3.csv.

Hharipriyaa07

Reusable Scatter plot Activity 8

This interactive scatter plot visualizes the Iris dataset, showing relationships between sepal and petal measurements across three species. Using D3.js with SVG rendering, the plot cycles through different measurement pairings on the axes via setInterval, updating the scatter plot dynamically. The visualization employs d3.scaleLinear, d3.extent, d3.axisLeft, d3.axisBottom, and a reusable scatterPlot function to handle axis scaling and rendering. Points are color-coded by species (setosa, versicolor, virginica) with a legend, while axis labels and a title update to reflect the current dimension selection.

Iindushashi.g@gmail.com