Activity_6_tutorial3.2

100%

Activity_6_tutorial3.2

✓ Published0🌍 Public

VVarunKumarKambhampati@my.unt.edu

Last edited Oct 20, 2024

Created on Oct 20, 2024

A scatter plot visualizes the Iris dataset, showing sepal length on the x-axis and petal length on the y-axis, with each species represented by a distinct shape (circle, square, etc.). The plot includes axes with labels and a legend identifying the species categories. The visualization uses D3 v7’s `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbol` APIs to map data values to positions and shapes, while the `axes` and `shapeLegend` components construct the chart and legend. Data is loaded from a remote CSV file and parsed with `csvParse`.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

Activity6_tutorial3.2

This interactive scatter plot visualizes the Iris dataset, showing sepal length against petal length with each species represented by a distinct symbol. The visualization uses D3.js v7 APIs including scaleLinear, scaleOrdinal, and symbol to create the plot, with axes imported from the d3-axis module. A custom shape legend displays the species mapping using D3's symbol generator. The data is loaded asynchronously from a remote CSV file and parsed using d3.csvParse, with careful number coercion for numeric columns.

Vvenkatdinesh5010@gmail.com

95% match

Loading thumbnail…

Activity6_tutorial3.2

This interactive scatter plot visualizes the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis, with species encoded by distinct marker shapes. The D3.js v7 code uses `scaleLinear`, `scaleOrdinal`, `symbolsFill`, and `symbol` within `scatterPlot.js` and `shapeLegend.js` to render the marks and a custom legend. Axes are drawn using `axisLeft` and `axisBottom`, and data is fetched as CSV and parsed with `csvParse`. The plot updates in response to window resizing, using SVG for rendering.

Cchinnivikramnunna@gmail.com

95% match

Loading thumbnail…

activity6_tutorial3.2

This scatter plot visualizes the Iris dataset, showing sepal length on the x-axis and petal length on the y-axis, with each point's shape encoding the species. It uses D3's `scaleLinear`, `scaleOrdinal`, and `symbolsFill` to map data to scales and shapes, and `axes` to draw labeled axes. A custom legend displays the shape-to-species mapping. Data is fetched from a remote CSV and parsed via `csvParse`.

Sshreshikaveerannagari@gmail.com

95% match

Loading thumbnail…

Activity6_Tutorial3.2

This scatter plot visualizes the Iris dataset, showing the relationship between sepal length and petal length for three iris species. Each data point is rendered as a distinct shape (circle, square, or triangle) using the d3.symbol API, with a legend mapping shapes to species. The visualization is built with d3.scaleLinear for axes, d3.scaleOrdinal for the shape encoding, and d3.axisLeft/axisBottom for labeled axes. Data is loaded asynchronously from a remote CSV file using d3.csvParse. The chart updates dynamically via the d3.select and join operations.

Ddandudivya98@gmail.com

95% match

Loading thumbnail…

Activity6_tutorial3.2

This example shows a scatter plot of the Iris dataset, mapping sepal length on the x-axis and petal length on the y-axis. Each point is rendered as a different shape (circle, square, triangle, etc.) based on the iris species, with a legend explaining the shape-to-species mapping. The visualization uses D3 v7’s `scaleLinear`, `scaleOrdinal`, and `symbol` APIs to position marks and generate custom path shapes. Data is loaded as CSV from a GitHub repository and parsed with `csvParse`, while axis and legend components are built using `axisLeft`, `axisBottom`, and reusable selection patterns.

Vvenkatdinesh5010@gmail.com

95% match

Loading thumbnail…

Activity 6_tutorial 3.2

This interactive scatter plot visualizes the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis, with species indicated by distinct marker shapes. Using D3.js version 7, the visualization employs scales from `scaleLinear` and `scaleOrdinal`, along with the `symbol` API to generate shape-based marks. The plot includes labeled axes from `axisLeft` and `axisBottom`, and a custom shape legend. Data is loaded asynchronously from a CSV file and parsed with `csvParse`, with point positions calculated via the `xScale` and `yScale` functions.

Ssairohithchada@gmail.com

95% match

Loading thumbnail…

activity6_tutorial3.2

This visualization is a D3.js scatter plot of the Iris dataset, showing sepal length on the x-axis and petal length on the y-axis, with points colored and shaped by species. Using the `d3` library’s `scaleLinear`, `scaleOrdinal`, and `symbolsFill`, it encodes the categorical species variable through both color and shape, with a legend generated via the custom `shapeLegend` function. The plot leverages `join` operations and `axisLeft`/`axisBottom` for axes, and it loads data via `csvParse` from a remote URL.

Vvidiyalasahithi1999@gmail.com

94% match

Loading thumbnail…

Activity 6 Tutorial 3.2

A scatter plot visualizes the Iris dataset, mapping sepal length to the x-axis and petal length to the y-axis, while encoding species with different point shapes via d3.scaleOrdinal and d3.symbol. A custom shape legend, built with d3.symbol, displays the species categories. The code uses d3.csvParse for data loading, d3.scaleLinear for axes, and d3.axisLeft/axisBottom for tick rendering. Axes and legend labels are positioned manually, with the plot resizing to the full browser window.

Ssharanyabobbala@my.unt.edu

94% match