Question3

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Last edited Apr 6, 2024

Created on Apr 6, 2024

Forked from Fork of Scatter Plot with Shape

This scatter plot visualizes the relationship between sepal length and petal length in the Iris dataset, using different marker shapes to distinguish species. It demonstrates d3's shape encoding via `d3.symbol` and `symbolsFill`, with a custom shape legend generated by `shapeLegend.js`. The visualization loads data from a remote CSV, parses it with `d3.csvParse`, and renders axes using `d3.axisLeft` and `d3.axisBottom` from imported D3 modules. The chart updates reactively through state management and a render function that re-calls the plotting logic.

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Question3

This visualization is a scatter plot of the Iris flower dataset, mapping sepal length on the x-axis and petal length on the y-axis, with points colored by species. It uses D3 v7's `scaleLinear`, `scaleOrdinal`, and `symbolsFill` to position points and assign shapes, while the `axisLeft` and `axisBottom` functions render labeled axes. A custom shape legend, built with `shapeLegend` and D3's `symbol` generator, identifies each species. The plot is rendered in a full-window SVG, with data loaded via `csvParse` from an external source.

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Activity6_Question3

This scatter plot visualizes the Iris flower dataset, mapping sepal length on the x-axis and petal length on the y-axis, with three species distinguished by distinct symbol shapes. It loads data from a remote CSV, parses it with `d3.csvParse`, and renders marks using `d3.scaleLinear`, `d3.scaleOrdinal`, and the `symbol` generator. The chart includes labeled axes via custom D3 axes modules and a shape legend, all built with D3 v7 selections and joins.

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Question-3.2

This scatter plot displays the Iris dataset, mapping sepal length on the x-axis against petal length on the y-axis. Each point is encoded with a distinct symbol representing its species, with a legend identifying the three categories. The visualization is built using D3’s `scaleLinear` for coordinate mapping and `symbolsFill` for shape encoding. Data is loaded from a remote CSV file and parsed with `csvParse`, while axes and labels are generated through the custom `axes` module using `axisLeft` and `axisBottom`.

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Question3activity6

This scatter plot visualizes the relationship between sepal length and petal length for different iris species, using distinct symbols to differentiate each species. The visualization is built with D3 v7, employing `scaleLinear` for the axes, `scaleOrdinal` and `symbolsFill` to assign shapes, and `symbol` to render the data points. A legend, created via `shapeLegend`, maps each species to its corresponding symbol. The data is loaded from a CSV file and rendered using the `scatterPlot` and `axes` functions.

Gganeshrajuparmalla@my.unt.edu

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Activity-6_Question-3

This scatter plot shows the relationship between sepal length and petal length for three iris species, with each species distinguished by a unique symbol shape and a corresponding legend. The visualization uses d3.scaleLinear for the x and y axes, d3.scaleOrdinal to map species to d3.symbolsFill shapes, and d3.axisLeft and d3.axisBottom for the axes. Data is loaded asynchronously from a CSV file and parsed with d3.csvParse, with the chart rendered using D3 v7’s data join pattern.

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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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Task-3.2

This scatter plot displays the relationship between sepal length and petal length for the Iris dataset, with species differentiated by shape. The visualization uses D3 v7's `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbol` APIs to map data to positions and shapes, while `axisLeft` and `axisBottom` render the axes. A custom `shapeLegend` built with D3's `symbol` generator and tick marks shows the species mapping. Data is loaded via `csvParse` from a remote GitHub-hosted CSV file, and the chart fills the browser window using `window.innerWidth` and `window.innerHeight`.

Sshivakumarganji@my.unt.edu

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act6_Task3.2

This scatter plot visualizes the Iris dataset, showing the relationship between sepal length and petal length, with species distinguished by different fill symbols. The visualization uses D3 v7 to map species to a categorical shape scale with symbols from `symbolsFill`, rendering each data point as a path mark positioned via linear scales. Species categories are identified through a custom shape legend, and the plot includes labeled axes. The iris data is loaded from a remote CSV file using `csvParse` and rendered with D3's `symbol` and `scaleOrdinal` APIs.

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