Activity7.1_Tutorial

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_Tutorial

This interactive D3.js scatter plot visualizes the Iris dataset, cycling through different combinations of sepal and petal measurements on the x-axis via a timer. A reusable scatter plot module (with configurable scales, axes, and margins) renders the data as colored circles, with species indicated by color. The animation updates the x-axis to show petal_width, sepal_width, petal_length, and sepal_length in sequence, dynamically re-drawing axes and labels. The plot is rendered as SVG, with a legend and title, using data from a remote CSV file.

Ssaimanvith22@gmail.com

Activity7.1_Tutorial

This animated scatter plot demonstrates the Iris dataset, cycling through different combinations of sepal and petal measurements on the x-axis. It shows how the three species (setosa, versicolor, and virginica) cluster differently depending on which features are compared. The visualization uses the D3.js library, specifically `csv`, `select`, `scaleLinear`, and `axisLeft`/`axisBottom` APIs to create the plot and its axes. The scatter plot updates every few seconds, using a `setInterval` loop to rotate through the four measurement columns as the x-axis variable. The SVG rendering includes custom-styled points, a color legend, and axis labels.

SSai Praveen Lokavarapu

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.

Ttarun.chintada46@gmail.com

Activity 7.1 Tutorial

This interactive scatterplot visualizes the Iris flower dataset, showing the relationships between petal and sepal measurements. It cycles through four variable combinations on the x-axis every few seconds, using color-coded circles for species. Built with D3.js (v6.7.0), it leverages modules like `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to create the plot. The animation sequences through different dimension pairs, with a legend, axis labels, and a title rendered as SVG. Data is loaded from a remote CSV file hosted on GitHub.

activity7.1_tutorial

This animated scatterplot cycles through different Iris flower measurements—petal width, sepal width, petal length, and sepal length—on the x-axis while plotting sepal length on the y-axis. Using D3.js v6, it loads the Iris dataset via `d3.csv`, renders circles colored by species, and updates axes through a `setInterval` loop. The code builds a reusable scatter plot component with `d3.scaleLinear`, `axisBottom`, and `axisLeft`, and includes a custom legend, title, and axis labels, all rendered as SVG with CSS styling.

Ssravani1969@gmail.com

Cchinnivikramnunna@gmail.com

Activity 9 tutorial1

This animated scatter plot visualizes the Iris dataset, cycling through different combinations of sepal and petal measurements on the x-axis while maintaining petal width on the y-axis. The visualization uses D3.js (v6.7.0) with custom scaling and axis functions from the `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs. Species are color-coded via a marker function mapping setosa, versicolor, and virginica to distinct colors. The plot includes a rotating axis label, a legend with colored points, and updates every few seconds to show different variable pairings. The title and axis labels are rendered using SVG text elements with custom styling.

Task_9_Tutorial_1

This animated scatter plot visualizes the Iris dataset, cycling through four different feature combinations on the x-axis (petal width, sepal width, petal length, sepal length) while keeping sepal length on the y-axis. The three species are distinguished by color (skyblue, lightgreen, orange) and a legend. Built with D3.js (v6), the visualization uses an ES6 module pattern for a reusable `scatterPlot` function that employs `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs. The animation uses `setInterval` to update the x-axis and redraw the plot, with SVG rendering and text labels for axes and title.

LLakshmi Keerthi