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task -2

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SSheela2930
Last edited Apr 2, 2023
Created on Apr 2, 2023

This interactive 3D scatter plot visualizes the Iris flower dataset, showing the relationship between sepal and petal measurements across three species. Users can drag to rotate the visualization, which displays colored points representing individual flowers alongside a wireframe grid and axis labels. The example uses the d3-3d plugin with d3.v4 to project 3D coordinates onto an SVG canvas, handling rotation updates through mouse drag events. Data is loaded from a CSV file and rendered with WebGL, with points colored by species category.

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MIT Licensed

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task -2

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with each point colored by species (setosa, versicolor, virginica). The visualization uses D3 v6's `select`, `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` APIs to load the CSV data, map the measurements to x and y coordinates, and render the axes. Points are drawn as SVG circles in the browser window, with a custom color-mapping function assigning distinct colors to each iris species. The chart also includes descriptive axis labels for the petal measurements.

SSheela2930
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Task-3

This scatter plot visualizes the Iris dataset, mapping petal length and width as the primary axes while encoding sepal dimensions through elliptical marker shapes. Points are colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica) using D3's scaleLinear for axis scaling and extent for domain calculation. The visualization loads data from a GitHub-hosted CSV, employs D3 v6's select and join operations to bind data to SVG circles, and uses axisLeft/axisBottom for labeled axes.

Kkotipallipavan54@gmail.com
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3D Scatter Plot

This 3D scatter plot visualizes the Iris dataset, with each point representing a flower colored by species (setosa, versicolor, virginica). It displays three flower measurements—sepal length, sepal width, and petal length—along color-coded axes with labels. The visualization uses Three.js for 3D rendering via WebGL and D3.js for fetching and processing the CSV data, which is loaded from a remote URL. Interactive orbit controls allow rotation, zooming, and panning, while the legend identifies the species. The scene is rendered in real-time with animated camera movements.

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activity 8_Task 1

This interactive scatterplot visualizes the Iris dataset, comparing sepal and petal measurements across three flower species. The visualization cycles through different measurement combinations on the x-axis using a setInterval, dynamically updating the plot. The code uses D3 v5 with SVG rendering, employing scaleLinear scales, axisBottom, and axisLeft for the chart structure. Animated transitions show data points colored by species, with a custom legend displaying the species names and a title. The example loads data from a CSV file, uses a scatterPlot function for modular chart construction, and demonstrates D3's join pattern for data binding.

Cchsaisriharsha@gmail.com
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Task8 T3

A scatter plot displays the Iris dataset, comparing sepal length against petal length. Each point represents an individual flower, color-coded by species (setosa, versicolor, or virginica) using CSS classes. The visualization loads data via d3.csv, converts numeric fields, and applies d3.scaleLinear to map values to pixel coordinates. D3 axes (d3.axisBottom and d3.axisLeft) are appended to an SVG canvas, with circles rendered using the enter selection pattern.

Ssruthimreddy6@gmail.com
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Task3

This scatter plot visualizes the Iris dataset, showing petal length and petal width for three flower species, each represented by a distinct color (setosa in sky blue, versicolor in light green, and virginica in orange). The visualization loads CSV data from a GitHub repository, parses it with d3.csv, and renders SVG circles using d3.scaleLinear for both axes. The code explicitly maps the data values to x and y positions, though the circle elements also carry sepal measurements as extra properties, and uses d3.axisBottom and d3.axisLeft to display the labeled scales.

Nnitishsurneni@gmail.com
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Task3.2

This scatter plot visualizes the Iris dataset, showing sepal length against petal length. Points are colored and shaped by species, with a legend mapping shapes to the three iris species. The visualization is built using D3 v7, employing force-directed layout principles through `d3.scaleLinear` and `d3.scaleOrdinal` for scales. The chart fetches data from a remote CSV, parses it with `d3.csvParse`, and renders marks via `d3.symbol` with axes generated by `d3.axisLeft` and `d3.axisBottom`.

IIkram Mohammed
88% match
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Task3.2

This interactive scatter plot displays the relationship between sepal length and petal length for three iris species, distinguishing each species with a distinct symbol shape and a legend. The visualization uses D3 v7 scales, axes, and reusable chart modules, with the scatterPlot component rendering SVG path marks via d3.symbol. The axis and legend components are composed using D3’s selection joins and call syntax. Data loads asynchronously from a remote CSV file, parsed with d3.csvParse, and scales are computed from extents using d3.scaleLinear and d3.scaleOrdinal.

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