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Question3

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Ttejaswiteju9811@gmail.com
Last edited Oct 23, 2024
Created on Oct 22, 2024

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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Question3

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.

Ssatvikreddy79@gmail.com
92% match
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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`.

Rrahul.bonu524@gmail.com
92% match
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question 3

This visualization displays the Iris dataset as a D3 scatter plot, mapping petal width against sepal length for individual flower samples. The code uses d3.csv to load the data from a GitHub Gist, then applies scaleLinear, scaleOrdinal, axisLeft, and axisBottom to construct the chart. Each data point is rendered as a distinct SVG symbol generated with d3.symbol and colored by species. The visualization includes labeled axes and is implemented as a reusable scatterPlot component.

Hharipriyaa07
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Task3Ques

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with each species represented by a distinct symbol shape. A legend on the right identifies the three species categories. The visualization is built with D3 v7, using d3.scaleLinear for positioning, d3.scaleOrdinal with d3.symbolsFill for shape encoding, and d3.axisLeft and d3.axisBottom for the axes. Data is loaded from a remote CSV file and parsed with d3.csvParse.

IIkram Mohammed
91% match
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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.

Gganeshseeram5decem@gmail.com
91% match
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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
91% match
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Task_3.2

This visualization shows a scatter plot of the Iris dataset, mapping sepal length on the x-axis against petal length on the y-axis, with points styled by species using different D3 symbols. The code loads data from a CSV file via the Fetch API and parses it with d3.csvParse, then renders the plot using d3.scaleLinear for axes, d3.scaleOrdinal with d3.symbolsFill for shape encoding, and d3.axisLeft/axisBottom via the custom axes module. A custom shape legend module displays the species categories using d3.symbol, while D3’s join pattern handles dynamic element updates.

Rrakesh.kavuru@outlook.com
91% match
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Task_3_Question_6

This scatter plot visualizes the Iris dataset, showing sepal length against petal length with points colored and shaped by species. The visualization uses D3 v7 with multiple modules: `scaleLinear` for coordinate mapping, `scaleOrdinal` with `schemeCategory10` for color encoding, and `symbol` for shape differentiation. A custom shape legend explains the species markers, while standard axes with labels are rendered via `axisLeft` and `axisBottom`. Data is loaded as CSV from GitHub and parsed with `csvParse`, then numeric fields are converted before rendering.

Cchandrikachowdary867@gmail.com
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