Activity7_tut-1

Ssaishruthik2361@gmail.com

Activity 7

This animated scatterplot cycles through the Iris dataset’s four measurements on the x-axis while keeping petal width on the y-axis. Colored circles distinguish the three species (setosa, versicolor, and virginica). The visualization is built with D3 v6, using `scaleLinear`, `axisBottom`, and `axisLeft` within a custom `scatterPlot` function. A `setInterval` triggers updates, re-rendering axes and labels every few seconds. SVG circle elements are colored via a switch statement, with legends and axis titles added dynamically, sourced from the CSV URL.

Kkandooriabhiram@gmail.com

Activity_7

This animated scatter plot explores the Iris dataset by cycling through different flower measurements on the x-axis. It uses D3.js (v6.7.0) with a custom reusable `scatterPlot` module that leverages `scaleLinear`, `axisLeft`, and `axisBottom` to render axes. Data is loaded via `d3.csv`, and a `setInterval` timer updates the plot’s x-value every few seconds, toggling between petal width, sepal width, petal length, and sepal length. Circles are colored by species (setosa, versicolor, virginica) with a legend, title, and axis labels rendered as SVG text elements.

MMannava Priyanka Chowdary

Activity 7

This animated scatterplot cycles through four Iris flower measurements—petal width, sepal width, petal length, and sepal length—on the x-axis while keeping sepal length on the y-axis. It uses D3’s `csv`, `scaleLinear`, `axisLeft`, and `axisBottom` to load and render the Iris dataset, with `setInterval` driving the axis transitions. Species are color-coded via a custom marker function, and a legend with labels is drawn directly in SVG. The visualization demonstrates a reusable scatter plot module built through a chained configuration pattern.

Ggouthamigongidi2457@gmail.com

activity7_tutorial

This animated scatter plot cycles through different Iris flower measurements, displaying petal width and sepal length on the axes while each species is colored distinctly. The visualization uses D3.js (v6) to load CSV data from a GitHub gist, render SVG circles and axes, and update the plot at intervals via `setInterval`. The code demonstrates a reusable `scatterPlot()` function with configurable scales and margins, alongside custom legend elements and axis labels.

Activity-7

This interactive scatter plot visualizes the Iris dataset, cycling through different flower measurements (petal width, sepal width, petal length, sepal length) on the x-axis every few seconds via `setInterval`. It uses D3 (v6) to render SVG circles colored by species, with axis scales via `scaleLinear`, `axisLeft`, and `axisBottom`. The visualization includes a legend, title, and axis labels, dynamically updating the plot's x-value mapping while maintaining the y-axis as sepal width.

SSiva Kishore Reddy

Activity7.1_Tutorial

This animated scatter plot cycles through different iris flower measurements from the classic Iris dataset. It displays petal width on the x-axis against sepal length on the y-axis, with points colored by species (setosa, versicolor, virginica). The visualization updates every few seconds, changing which measurement is plotted on the x-axis. Built with D3.js (v6.7.0), it uses the `scaleLinear`, `axisLeft`, and `axisBottom` APIs within a custom `scatterPlot` module. The SVG rendering includes axis labels, a color legend, and a title, with all data loaded from a remote CSV file.

Ssagipavan2385@gmail.com

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.

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.