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task_3 supriya

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SSupriya Ravilla
Last edited Apr 8, 2024
Created on Apr 8, 2024
Forked from Hello VizHub

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and sepal length for three flower species. Colored circles (skyblue, lightgreen, and orange) distinguish setosa, versicolor, and virginica samples, with the x-axis and y-axis using d3.scaleLinear and d3.extent to map data ranges. The visualization loads CSV data via d3.csv, renders circles as SVG elements, and adds axes using d3.axisBottom and d3.axisLeft, with axis labels rotated for clarity. The code also sets circular radius and fill colors based on species values.

AI-generated description

We are Displaying the IRIS dataset using Scatter plot.

MIT Licensed

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task_3.2 supriya

This example shows an interactive scatter plot of the Iris dataset, displaying sepal length against petal length. Each point is colored by species, and the plot includes a custom shape legend that maps each species to a distinct symbol using d3.scaleOrdinal and d3.symbolsFill. The visualization loads data from a remote CSV file using d3.csvParse and renders axes with d3.axisLeft and d3.axisBottom. D3 v7 selection methods like join and attr are used to update the SVG elements dynamically.

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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.

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This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with each of the three species (setosa, versicolor, virginica) colored distinctly (skyblue, lightgreen, orange). The visualization uses D3 v6 (d3.scaleLinear, d3.extent, d3.axisLeft, d3.axisBottom) to map data to SVG circles, with axes labeled and the dataset loaded via d3.csv from a GitHub raw URL. The code also references sepal measurements as attributes on the circles, though these are not visually encoded in the final rendering.

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This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis. Each point represents a flower, colored by species through a categorical scale that distinguishes Iris-setosa, Iris-versicolor, and Iris-virginica. The visualization loads data from a CSV file using `d3.csv` and renders the plot as an SVG, employing `d3.scaleLinear` for axes and the `d3.axisBottom` and `d3.axisLeft` APIs to generate tick marks and axis labels.

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This scatter plot visualizes the Iris dataset, mapping petal length and width on the x- and y-axes, with points colored by species (setosa, versicolor, and virginica). The code draws circles using SVG, applying a custom `marker` function to assign colors based on the species field. It uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and chainable selections with `.join()`. Data is loaded from a remote CSV file, and the plot includes labeled axes with custom text styling.

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This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with each of the three species colored distinctly (setosa, versicolor, virginica). The visualization uses D3 v6 APIs, including `d3.csv`, `d3.scaleLinear`, `d3.extent`, and D3's axis generators (`axisLeft`, `axisBottom`) to render an SVG chart. Data is loaded from a remote CSV URL, with each point represented as a circle whose color is determined by species. The plot includes custom axis labels, with the chart sized to fill the browser window.

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This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width for three flower species. Colored circles represent each species, with skyblue for setosa, lightgreen for versicolor, and orange for virginica. The visualization loads data from a CSV file using d3.csv and renders SVG circles with d3.scaleLinear for axes positioning. Axis labels rotate with SVG transforms, and species-specific colors are assigned through a JavaScript switch statement. The plot uses d3.axisLeft and d3.axisBottom for the coordinate system.

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This scatter plot visualizes the Iris dataset, showing the relationship between sepal and petal measurements. Colored circles represent three iris species—setosa in sky blue, versicolor in light green, and virginica in orange—positioned by petal length and width. The visualization uses D3 v6's `scaleLinear` for axes, `extent` for data domains, and `axisLeft`/`axisBottom` for labeled scales. Data is loaded from a remote CSV via D3's `csv` parser, rendered as SVG circles, with species-specific colors assigned through a switch statement.

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