Activity7.1_task

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.

Hharipadmavathim2023@gmail.com

Activity-9_Task-1

This interactive scatter plot visualizes the Iris dataset, cycling through different flower measurements on the x-axis with animation. The visualization uses D3.js methods including `csv`, `scaleLinear`, and `axisBottom` to render the points, while a `setInterval` function toggles between petal width, sepal width, petal length, and sepal length columns. Species are distinguished by color—skyblue, lightgreen, and orange—with a legend displaying labels. The SVG rendering includes custom styling and animated transitions as axes update automatically.

Activity_7_11815718

This animated scatter plot visualizes the Iris dataset, cycling through different flower measurements every five seconds. Colored circles represent individual flowers, with skyblue for setosa, lightgreen for versicolor, and orange for virginica, alongside a color legend and axis labels. The visualization uses the D3 library’s `csv`, `scaleLinear`, `axisLeft`, and `axisBottom` APIs to load data and render scales and axes within an SVG. A custom `scatterPlot` function manages the plot’s reusable properties, while `setInterval` triggers updates to swap the x-axis variable.

Mmaneeshraja47@gmail.com

Rrakshithareddy217@gmail.com

Activity7_tut-1

An animated scatter plot of the Iris dataset cycles through four floral measurements on the x-axis while keeping petal width on the y-axis. It uses D3 v6 with reusable modules, including `scaleLinear`, `axisLeft`, and `axisBottom` from the `scatterPlot` function, and renders as an SVG with colored circles representing species. The plot updates every few seconds via `setInterval`, and a legend labeled "Species" identifies the three iris types. Data is loaded as CSV from a remote gist.

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

Vvarshithainaganti@gmail.com

Activity7_Task

An interactive scatterplot of Fisher’s Iris dataset animates through four measurement combinations using a rotating interval. The visualization cycles the x-axis among petal width, sepal width, petal length, and sepal length while coloring points by species. Built with D3.js version 6, it combines a reusable `scatterPlot` module with SVG circle rendering, `scaleLinear` axes, and `setInterval` to update selections. The iris.csv data loads from a GitHub gist, and the full-screen layout includes custom legends, title, and axis labels.

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.

Activity-9_Task-1

This animated scatter plot displays the Iris dataset, cycling through four feature pairings (petal width, sepal width, petal length, and sepal length) on the x-axis while keeping sepal length on the y-axis. Colored circles represent the three iris species (setosa, versicolor, virginica) with a fixed legend. Built with D3.js, it uses `csv` for data loading, `d3.scaleLinear` for scaling, and `d3.axisLeft`/`d3.axisBottom` for axes, with a `setInterval` loop updating the x-value accessor to animate transitions. SVG rendering displays the full-screen plot with custom labels.

Ttharunramula@gmail.com