lohithaact7_tutorial

Tutorial

This animated scatter plot visualizes the Iris flower dataset, cycling through four different measurement axes (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 rendered via SVG. The visualization uses D3.js v6 APIs including `csv`, `scaleLinear`, `axisLeft`, `axisBottom`, and `selectAll` to update circles and axes at each interval, with data loaded from a GitHub-hosted CSV file.

Vvchittimadha@gmail.com

Ssudheervnarasimha1@gmail.com

activity 7 tutorial

This animated scatter plot visualizes the Iris flower dataset, cycling through different pairings of sepal and petal measurements on the x-axis every few seconds while petal width and sepal length remain on the y-axis. Data points are color-coded by species (setosa, versicolor, virginica) with a legend and rotating axis labels. Built with D3.js v6, it uses `scaleLinear`, `axisLeft`, `axisBottom`, and `setInterval` to update the plot dynamically. The SVG renders circles with custom fill colors and includes a reusable `scatterPlot` module for configuration.

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

Vvishnutejareddyambati@my.unt.edu

Activity 7 tutorial

This interactive scatterplot animates through different pairings of the Iris flower dataset’s measurements, cycling its x-axis among petal width, sepal width, petal length, and sepal length while keeping sepal length on the y-axis. Using D3 version 6, it builds a reusable scatter plot via the `scatterPlot` module, which employs `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render SVG axes and circles. A `setInterval` updates the x-value accessor, and custom legend labels, colored by species (setosa, versicolor, virginica), are drawn alongside the animated transitions.

tutorial 7.1

This interactive scatter plot animates through different x-axis attributes of the Iris dataset, cycling between petal width, sepal width, petal length, and sepal length. The plot uses D3.js version 6.7.0 to render SVG circles colored by species, with a legend and axis labels that update dynamically. The animation repeatedly re-renders the chart with a new x-axis variable, while the y-axis remains fixed on petal length, using a `setInterval` loop and a modular array index. The data is fetched from a GitHub-hosted CSV file.

Ggoudrohit2000@gmail.com

LLakshmiDeepikaPagadala@my.unt.edu

Task9&10_Tutorial

This interactive scatterplot animation cycles through the four Iris flower measurements (petal width, sepal width, petal length, sepal length) from the classic Iris dataset, updating the x-axis every few seconds while keeping sepal length on the y-axis. Data points are color-coded by species, with a legend, axis labels, and title rendered via SVG. The visualization uses the D3.js library (v6.7.0) with a custom `scatterPlot` module that leverages `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` for chart construction, while `setInterval` drives the animation.

Hharinihari6791@gmail.com

Activity_7.1

This interactive scatterplot animates the Iris dataset, cycling through petal width, sepal width, petal length, and sepal length on the x-axis while sepal length remains fixed on the y-axis. Colored circles represent three species—setosa in skyblue, versicolor in lightgreen, and virginica in orange—with a legend and dynamically updating axis labels. Built with D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` within a reusable `scatterPlot` module, driven by `setInterval` to rotate columns and SVG rendering for all marks and annotations.

Rrahman.mehmood2002@gmail.com

Activity_7.1Tutorial

This animated scatterplot, built with D3.js, visualizes the classic Iris flower dataset, showing how different species cluster across various measurement combinations. It cycles through four different x-axis attributes—petal width, sepal width, petal length, and sepal length—while keeping sepal length on the y-axis, with colored circles distinguishing setosa, versicolor, and virginica. The visualization uses D3's `csv` loader, `scaleLinear`, and `axisBottom`/`axisLeft` utilities, with a custom reusable `scatterPlot` module. It renders as an SVG and updates its axes and labels every few seconds via `setInterval`.