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Activity 6 Task 3

✓ Published0🌍 Public
Mmounikakatipally995@gmail.com
Last edited Apr 15, 2024
Created on Apr 15, 2024
Forked from Task 8-Tutorial3.1

This scatter plot visualizes the Iris dataset, mapping sepal length and width to the x- and y-axes. Each flower species is represented by a distinct color: setosa in sky blue, versicolor in light green, and virginica in orange. The code loads CSV data via `d3.csv` and uses `d3.scaleLinear`, `d3.extent`, `d3.axisBottom`, and `d3.axisLeft` from D3 v6. It renders the plot as an SVG, with circles colored by species through a switch statement.

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We are Displaying the IRIS dataset using Scatter plot with different colors.

MIT Licensed

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Activity 6 Task 3

This scatter plot visualizes the Iris dataset, showing the relationship between sepal length and sepal width. Each data point is represented as a colored circle, with colors distinguishing the three iris species: setosa in skyblue, versicolor in lightgreen, and virginica in orange. The visualization uses D3.js (v3) APIs including `d3.csv`, `d3.scaleLinear`, `d3.extent`, `d3.axisBottom`, and `d3.axisLeft` to load data from a GitHub-hosted CSV file, map values to pixel coordinates, and render axes with tick labels. The chart includes labeled axes for sepal length and width, with a red, centered title.

Mmounikakatipally995@gmail.com
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Activity6_task3.1

This scatter plot visualizes the Iris dataset, showing sepal length against sepal width for three iris species—setosa, versicolor, and virginica—with color-coded circles. The code loads the CSV data via `d3.csv`, uses `d3.scaleLinear` for the x and y axes, `d3.scaleOrdinal` with a custom color range for species, and renders the plot as an SVG using `d3.axisBottom` and `d3.axisLeft` for the axes. Circle positions are set with `d3-selection` `.attr` calls.

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Activity 6 Task 3

This scatter plot visualizes the Iris dataset, showing petal length on the x-axis and petal width on the y-axis, with each point colored by species (setosa, versicolor, or virginica). The visualization uses D3 v6 to load the CSV data, scale linearly with `scaleLinear`, and render SVG circles. It also draws axes using `axisLeft` and `axisBottom`, and includes rotated axis labels for clarity. The code reads the CSV from a GitHub raw URL and maps species names to distinct fill colors.

Mmounikakatipally995@gmail.com
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Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping sepal length and width on the axes while coloring each point by species. The visualization uses D3 v6 APIs including `d3.csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`. Each flower is rendered as an SVG circle with a fixed radius, positioned according to petal length and width, while sepal dimensions and species determine the circle’s fill color. Data is loaded from a remote CSV file on GitHub, and the SVG canvas fills the browser window.

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Activity_6(task 3)

This scatter plot displays the Iris dataset, mapping sepal length on the x-axis against petal width on the y-axis, with each of the three iris species (setosa, versicolor, virginica) distinguished by a distinct color. The visualization uses D3 v6 to render SVG circles, with axes, labels, and a legend generated via `d3.axisBottom`, `d3.axisLeft`, and `d3.scaleOrdinal`. Data is loaded asynchronously from a remote CSV file, and the plot employs `d3.extent` to set linear scales for the axes.

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ACTIVITY6 TASK3

This scatter plot visualizes the Iris dataset, mapping petal length and width as the x and y coordinates. Each point is colored by species (setosa, versicolor, or virginica) and uses an SVG circle with additional radius attributes derived from sepal measurements. The code loads CSV data via `d3.csv`, scales axes with `d3.scaleLinear`, and renders marks using D3's `select` and `join` operations. Axis labels are added manually, and the chart fills the browser window.

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Activity6_Task3.1

This scatter plot visualizes the Iris dataset, displaying petal length and width for individual flowers. The circles are color-coded by species: skyblue for setosa, lightgreen for versicolor, and orange for virginica. Using D3 v6, the example loads data from a remote CSV via `d3.csv`, parses the numeric columns, and maps them to SVG circles using `d3.scaleLinear` for the x and y axes. It also incorporates sepal dimensions into the `rx` and `ry` attributes, making each point an ellipse. The chart renders axis labels with `d3.axisLeft` and `d3.axisBottom`, and uses D3's `select` and `join` APIs for efficient SVG element creation.

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Activity 6 Task 3

This scatter plot visualizes the Iris dataset, showing the relationship between petal length and petal width, with each flower colored by species (setosa in skyblue, versicolor in lightgreen, virginica in orange). Using D3 v6, it loads the CSV data and maps sepal length to the x-axis and sepal width to the y-axis as well, though only the petal dimensions are plotted as circles. The code employs d3.csv for data loading, scaleLinear for scales, and axisLeft/axisBottom for axes, rendering SVG circles with radius 5.

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