Task_3_Question_6

100%

Task_3_Question_6

✓ Published0🌍 Public

Last edited Apr 14, 2024

Created on Apr 14, 2024

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.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Activity_6_Task_3_3.2

This scatter plot visualizes the Iris dataset, showing petal length against sepal length with points colored and shaped by species. Points are rendered as SVG path marks, with the x- and y-axes labeled via d3.axisBottom and d3.axisLeft. A custom legend maps species names to distinct fill symbols using d3.scaleOrdinal and d3.symbolsFill. The chart uses d3.scaleLinear for both axes and d3.extent to compute domains, with data fetched from a remote CSV and parsed using d3.csvParse.

Cchandrikachowdary867@gmail.com

93% match

Loading thumbnail…

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

93% match

Loading thumbnail…

Task3.2

This scatter plot visualizes the Iris dataset, showing sepal length against petal length. Points are colored and shaped by species, with a legend mapping shapes to the three iris species. The visualization is built using D3 v7, employing force-directed layout principles through `d3.scaleLinear` and `d3.scaleOrdinal` for scales. The chart fetches data from a remote CSV, parses it with `d3.csvParse`, and renders marks via `d3.symbol` with axes generated by `d3.axisLeft` and `d3.axisBottom`.

IIkram Mohammed

93% match

Loading thumbnail…

Activity6_Task3.2

This scatter plot visualizes the Iris dataset, showing sepal length against petal length, with each species represented by a distinct symbol shape. The plot encodes the three Iris species through shape, using d3.scaleOrdinal with symbolsFill to assign different geometric marks, while a custom legend explains the species mapping. Axes are rendered via d3.axisLeft and d3.axisBottom, with labels for both dimensions. The data is loaded asynchronously from a GitHub-hosted CSV file using d3.csvParse, and the visualization updates through a state management pattern that handles loading and rendering.

Nnikhilthoutu24@gmail.com

92% match

Loading thumbnail…

Activity6_Task3-2

This scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with species encoded by different symbol shapes. The visualization loads the data from a remote CSV file using `d3.csvParse` and renders it using D3 v7. It employs `scaleLinear` for axes, `scaleOrdinal` for shape mapping, and `axisLeft`/`axisBottom` for tick marks. A custom shape legend, built with `d3.symbol`, displays the species labels.

Kkowshiksamudrala08@gmail.com

92% match

Loading thumbnail…

Activity6_Task3.1

This interactive scatter plot visualizes the Iris dataset, showing petal length against sepal length for different Iris species. The visualization uses distinct shapes (circles, squares, and triangles) to differentiate species, with a dedicated shape legend positioned on the right side of the chart. Built with D3.js v7, the code employs `d3.scaleLinear` for axes scaling and `d3.scaleOrdinal` with `d3.symbolsFill` to map species categories to symbol types. Data is loaded asynchronously from a GitHub-hosted CSV file, with axes labeled and styled through custom `d3.axisLeft` and `d3.axisBottom` calls.

SSowjanya Devupalli

92% match

Loading thumbnail…

Activity6 task3.2

This scatter plot visualizes the Iris dataset, plotting sepal length against petal length. Each point is rendered as a distinct symbol—circle, cross, or square—to represent the three species of Iris flowers, categorized on a categorical color scale. The visualization is built using D3.js (v7), using the `scaleLinear` and `scaleOrdinal` APIs to map data to positions and symbols. Axes and a shape legend are drawn using custom `axes` and `shapeLegend` modules, which utilize D3’s `axisLeft` and `axisBottom` functions. Data is loaded from a remote CSV file and parsed with `csvParse`.

Hhkodiripaka15@gmail.com

92% match

Loading thumbnail…

Activity6_Task3.2

This scatter plot visualizes the relationship between sepal length and petal length in the Iris dataset, with each point's shape indicating the species. The visualization uses D3 v7's modular APIs including scaleLinear, scaleOrdinal, symbolsFill, and symbol for generating the scatter marks. Axes are rendered with axisLeft and axisBottom, while a custom shape legend maps species to distinct symbol types. The data is loaded from a GitHub-hosted CSV file and parsed using csvParse, with numeric fields converted from strings.

Kkondaveeti.bhargavi7780@gmail.com

91% match