Activity-7 Tutorial

Activity7 Tutorial

This animated scatter plot cycles through different Iris flower measurements, switching the x-axis dimension every few seconds while keeping sepal length on the y-axis. Data points are color-coded by species (setosa, versicolor, virginica) with a legend and title displayed on screen. Built with D3 v6, it uses `scaleLinear`, `axisBottom`, `axisLeft`, and `setInterval` to update the visualization, reading the CSV dataset from a GitHub gist and rendering as SVG.

SSai Gottumukkala

Activity-7 Tutorial

This animated scatterplot cycles through four Iris flower measurements, plotting petal width, sepal width, petal length, and sepal length on the x-axis while sepal length remains on the y-axis. The visualization uses D3.js modules imported via UNPKG, including `scaleLinear`, `axisLeft`, `axisBottom`, and `csv` for data parsing, with a custom `scatterPlot` function handling the SVG rendering. Circles are color-coded by species—lightblue for setosa, lightgreen for versicolor, and orange for virginica—with a legend and axis labels updated every two seconds via `setInterval`. The code demonstrates local ES6 module imports and dynamic chart reconfiguration with smooth transitions.

Aabjalshaik02@gmail.com

RRishithaGarnepudi@my.unt.edu

Activity 7 Tutorial

This animated scatter plot explores relationships among four Iris flower measurements (petal and sepal length and width) from a CSV data source. It cycles the x-axis through different attributes while keeping the y-axis constant, coloring points by species. Built with D3 version 6.7, it uses `scaleLinear`, `axisLeft`, and `axisBottom` for axes, and updates the visualization via `setInterval`. The SVG output includes a custom legend and title, with points redrawn on each interval.

Activity 7 Tutorial

This example visualizes the Iris dataset as an animated scatterplot, cycling through four flower measurements as x-axis values while keeping sepal length on the y-axis. Points are colored by species (Setosa, Versicolor, Virginica) with matching legend markers. The animation cycles through petal width, sepal width, petal length, and sepal length every few seconds. The code uses D3 v6 modules, including `csv`, `scaleLinear`, `axisLeft`, `axisBottom`, and `extent`, with a reusable scatter plot function and ES6 module imports. The SVG renders with custom labels, a color legend, and axis titles that update per iteration.

KKhushi Desai

Ddabbararakshitha@gmail.com

Activity_7.1

This interactive scatter plot cycles through different Iris flower measurements, animating the x-axis to display petal width, sepal width, petal length, and sepal length in sequence. The visualization uses D3.js to load CSV data, scale axes, and render animated circles colored by species, with a custom legend and axis labels updating dynamically.

activity7

This animated scatter plot cycles through different Iris flower measurements, displaying petal width, sepal width, petal length, and 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. Built with D3.js, it loads CSV data, uses `d3.csv` for parsing, and relies on `setInterval` to rotate the displayed variable, re-rendering SVG circles and text each cycle.

TThai Ha Dang

PPreethamreddyannavaram@my.unt.edu

Activity_7.1

This animated scatter plot visualizes the Iris dataset, cycling through four flower measurements (petal width, sepal width, petal length, sepal length) on the x-axis while keeping sepal length on the y-axis. Each species is color-coded with a legend. The visualization uses D3 v6 (d3.csv, d3.scaleLinear, d3.axisLeft, d3.axisBottom) to render SVG circles that update on a setInterval timer. Data is loaded from a GitHub-hosted CSV file, with the axes and plot redrawing for each dimension cycle.

activity9

This animated scatter plot cycles through four Iris flower measurements, showing petal length, petal width, sepal length, and sepal width on both axes. The visualization uses D3.js to render SVG circles colored by species, with a legend and rotating axis labels. Data comes from a CSV file loaded via `d3.csv`, and the plot updates every few seconds using `setInterval` to change which measurement is displayed, creating a looping exploration of the dataset.

Ppaulphillips@my.unt.edu