Skip to main content
SimilarExport ZIP
100%

Task9

✓ Published1🌍 Public
CChandra Prakash Reddy Kalwakolu
Last edited Apr 21, 2024
Created on Apr 21, 2024
Forked from Hello VizHub

This interactive scatter plot explores the Iris dataset by cycling through four different flower measurements on the x-axis while keeping sepal length on the y-axis. Three species of iris flowers appear as colored circles—skyblue for setosa, lightgreen for versicolor, and orange for virginica—with a legend labeling each group. The visualization uses D3 v6’s `csv` loader, `scaleLinear`, `axisLeft`, and `axisBottom` APIs within a reusable `scatterPlot` module, and animates the axis changes with `setInterval`. The SVG rendering updates dynamically as users watch the data redistribute across each measurement pairing.

AI-generated description

A demonstration of reusable scatter plot.

MIT Licensed

Similar vizzes

Loading thumbnail…

Task 9

This animated scatter plot explores the Iris flower dataset, cycling through different sepal and petal measurements on the x-axis while maintaining petal width on the y-axis. Circles are color-coded by species (setosa, versicolor, virginica) and update every few seconds as the axis mapping changes. Built with D3.js v6, the visualization uses the `csv` loader to fetch data and the `setInterval` method to trigger re-renders, with scales and axes created via `scaleLinear`, `axisLeft`, and `axisBottom`. The SVG is rendered full-screen with custom axis labels and a legend.

Vvarun.mahankali39@gmail.com
93% match
Loading thumbnail…

task9,10

This animated scatter plot explores the Iris dataset, cycling through different feature pairings on the x-axis while the y-axis remains fixed on sepal length. It shows data points colored by species (setosa, versicolor, virginica) with a legend and axis labels. Built with D3.js (v6.7.0), the visualization uses an SVG renderer and a `setInterval` to update the plot every few seconds. The reusable `scatterPlot` module leverages D3's `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to generate axes and plot data from a remote CSV file.

Ppraneeth7222@gmail.com
93% match
Loading thumbnail…

task9&10

This animated scatterplot demonstrates the distribution of Iris flower measurements, cycling through different feature combinations on the x-axis (petal width, sepal width, petal length, sepal length) while keeping sepal length and width on the y-axis. Color-coded points distinguish the three species, setosa, versicolor, and virginica. Built with D3.js (loaded via UNPKG), the visualization uses `scaleLinear`, `axisLeft`, and `axisBottom` for scaling and axes, updating the plot every few seconds through `setInterval`. Data is loaded from a CSV file using `d3.csv`, and the SVG rendering includes a legend, title, and dynamic axis labels.

Yyashwanthkirla95@gmail.com
93% match
Loading thumbnail…

Task 9

This animated scatter plot cycles through different pairings of the Iris flower dataset's four measurements (petal width, sepal width, petal length, sepal length) on the x-axis while sepal length is used for the y-axis. Points are colored by species (setosa, versicolor, virginica) with a custom legend. The visualization uses D3 v6 APIs such as `csv`, `scaleLinear`, `axisBottom`, and `axisLeft` within a reusable `scatterPlot` module, updating axes and circles via `setInterval`. Data is loaded from a raw GitHub CSV URL, and styling is applied with CSS.

Cchintamanenithp@gmail.com
93% match
Loading thumbnail…

Task9

This interactive scatter plot visualizes the Iris dataset, mapping petal and sepal measurements to the x- and y-axes while coloring points by species. A setInterval loop cycles through four measurement columns, updating the x-axis and re-rendering the chart via the reusable scatterPlot component built with D3’s scaleLinear, axisLeft, and axisBottom APIs. The SVG animation includes a legend, title, and axis labels, with data loaded from a CSV file using d3.csv.

Kkeerthanachinthalapally@gmail.com
93% match
Loading thumbnail…

TASK-9

This animated scatter plot displays the Iris flower dataset, cycling through different combinations of sepal and petal measurements on the x-axis while keeping sepal length on the y-axis. Points are color-coded by species (setosa, versicolor, virginica) with a fixed legend. Built with D3.js (v6) using reusable chart modules like `scatterPlot`, it employs `scaleLinear`, `axisLeft`, and `axisBottom` for axes, with a `setInterval` updating the x-axis dimension every few seconds. Data loads from a remote CSV via `d3.csv`, and the visualization renders as SVG with circles and labels.

Ttarunskuruvadi@gmail.com
93% match
Loading thumbnail…

Task9

This animated scatter plot displays the Iris flower dataset, cycling through different petal and sepal measurements on the x-axis while maintaining sepal width on the y-axis. D3.js v6 fetches the CSV data and renders SVG circles colored by species, with a reusable scatterPlot module using scaleLinear, axisBottom, and axisLeft. A setInterval updates the x-axis mapping every few seconds, while legend labels, colored circles, and axis titles are appended dynamically to the SVG.

Aamireddy.sw@gmail.com
92% match
Loading thumbnail…

Task9&10

This animated scatter plot visualizes the Iris dataset, cycling the x-axis through petal width, sepal width, petal length, and sepal length while keeping petal width on the y-axis. Points are color-coded by species (setosa, versicolor, virginica) with a legend. Built with D3.js (v6), it uses `scaleLinear`, `axisLeft`, and `axisBottom` from the scatterPlot module, updating via `setInterval` to call the reusable plot function. The SVG rendering includes dynamic axis labels, a title, and legend elements, with data loaded from a remote CSV.

MMallikarjun Narra
92% match