Fork of Task -3 question6

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Fork of Task -3 question6

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Last edited Apr 12, 2024

Created on Apr 11, 2024

This example visualizes penguin measurements as a scatter plot of bill length against flipper length, with each species differentiated by a distinct symbol shape. A shape legend labels the three species categories. The chart uses d3.scaleLinear and d3.scaleOrdinal to map data values to positions and shapes, while d3.axisBottom and d3.axisLeft render the axes. Data is loaded from a CSV file via fetch and parsed with d3.csvParse, and symbols are generated using d3.symbol with the symbolsFill range.

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task 3 question 6

A scatter plot visualizes penguin measurements, mapping flipper length on the x-axis and bill length on the y-axis, with each species represented by a distinct symbol from d3.symbolsFill. A custom legend, built with d3.symbol, displays these species shapes. The chart uses d3.scaleLinear for axes, d3.scaleOrdinal for shapes, and d3.axisBottom/axisLeft for ticks. Data is loaded asynchronously from a CSV and parsed with d3.csvParse. The visualization updates dynamically via a state-based render loop.

RRakesh Yadav

91% match

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Task -8 question3

This example displays a scatter plot of penguin measurements, showing flipper length against bill length, with different species represented by distinct shapes. The visualization loads data from a CSV file fetched from a GitHub Gist and parsed with `d3.csvParse`. The plot uses `d3.scaleLinear` for both axes and `d3.scaleOrdinal` for shape encoding, with marks rendered using `d3.symbol` and the `d3.symbolsFill` range. A legend, built with the `shapeLegend` function, identifies each species by its corresponding shape, and axes are labeled using `d3.axisLeft` and `d3.axisBottom`.

Ssamithareddy9@gmail.com

89% match

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Fork of Activity6_Task3_Q3(6)

This visualization displays a scatter plot of penguin measurements from the Palmer Archipelago dataset, plotting bill depth against bill length on linear scales. Different species are distinguished using distinct marker shapes—circles, squares, and diamonds—via D3’s `scaleOrdinal` and `symbol` APIs, with a custom legend built through `shapeLegend`. The implementation leverages D3 v7’s `scaleLinear`, `extent`, `csvParse`, and the `join` selection API to bind data and render marks, while axes are generated using `axisLeft` and `axisBottom`.

Nnavyabade05@gmail.com

86% match

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Activty6_task3_question1

This scatter plot visualizes the relationship between flipper length and body mass for three penguin species, with different symbol shapes representing each species. The visualization uses D3 v7's scaleLinear, scaleOrdinal, and symbolsFill APIs to map data values to positions and shapes. The code loads CSV data via a fetch request to a GitHub Gist, then parses it with csvParse. Axes are rendered using axisLeft and axisBottom, while a custom legend with shape symbols appears in the upper right corner.

Mmaneeshraja47@gmail.com

85% match

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Task 3 Question

This scatter plot visualizes penguin measurements, plotting flipper length against body mass, with each point colored by species using a categorical color scale. The D3 v6 code loads CSV data from a GitHub gist, converts string values to numbers, and uses `d3.scaleLinear` for both axes. Axis labels are added via `d3.axisBottom` and `d3.axisLeft`, while a legend is constructed manually with colored rectangles and text labels. The SVG rendering approach uses `d3.select` to target the designated container element.

Ssharanyabobbala@my.unt.edu

85% match

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Acticicty6_Task3.2

This scatter plot visualizes Palmer Penguins data, showing the relationship between bill length and flipper length with each of three species represented by a distinct D3 symbol shape (circle, cross, triangle). The visualization uses d3.csv for data loading and filtering, d3.scaleLinear for position scales, and d3.scaleOrdinal with d3.symbol generators to map species to shapes. SVG is the rendering approach, with gridlines generated via d3.axisBottom and d3.axisLeft tick sizing. A legend created with d3.symbol identifies each species.

Pparmuriat@gmail.com

84% match

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Task8_Question3

This example shows a scatter plot of Palmer penguin measurements, displaying bill length against bill depth with points colored and shaped by species. The visualization includes a shape legend to distinguish the three penguin species. The code uses D3 v7 APIs such as `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbol` to map data to positions and shapes. Data is loaded from a remote CSV file using `csvParse`, and axes are generated with `axisLeft` and `axisBottom`.

KKeerthi

83% match

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Task8_Question3

This visualization displays the relationship between bill length and bill depth for penguin species using a scatter plot. The plot distinguishes species through different marker shapes, with a legend explaining the shape-species mapping. The code uses D3 v7 with `d3.csvParse` to load penguin data from a GitHub-hosted CSV file, `d3.scaleLinear` for the axes, `d3.scaleOrdinal` and `d3.symbol` for shape encoding, and custom axis and legend modules. The visualization updates dynamically as data loads asynchronously.

KKeerthi

83% match