Skip to main content
SimilarExport ZIP
100%

Reusable Scatter Plot Archana Goli

✓ Published0🌍 Public
Aarchanagoli@my.unt.edu
Last edited Mar 27, 2024
Created on Mar 27, 2024

This interactive scatter plot visualizes physical measurements of wheat kernels, plotting perimeter against kernel length with circular marks colored by species. Built as a reusable D3.js module using `d3.scaleLinear`, `d3.axisLeft`, and `d3.axisBottom`, it cycles through four variables every two seconds, updating the x-axis and point positions via `setInterval`. Data loads from a remote CSV file using `d3.csv`, with SVG rendering and smooth transitions between attribute mappings.

AI-generated description

A reusable scatter plot for the data set: https://gist.githubusercontent.com/ArchanaGoli/a612028a1c06123b8ec03ffa58089631/raw/01855a581adcb624ac28fd3c63817e0aa7af858b/gistfile1.txt

MIT Licensed

Similar vizzes

Loading thumbnail…

Reusable Scatter plot Archana Goli

This reusable D3.js scatter plot visualizes the dimensions of wheat kernels, with each circle representing a sample. The plot cycles through four variables—Perimeter, Kernel_Width, Area, and Kernel_Length—on the x-axis every two seconds, while the y-axis remains Kernel_Length. Built with D3’s `scaleLinear`, `axisLeft`, and `axisBottom` APIs, the SVG visualization updates dynamically via a `setInterval` function. The code loads CSV data from a GitHub gist and renders animated, resizable scatter plots based on the browser window’s dimensions.

Aarchanagoli@my.unt.edu
95% match
Loading thumbnail…

Reusable scatter plot_Archana Goli

This interactive scatter plot visualizes the Iris dataset, plotting kernel measurements like perimeter and length against each other. The visualization dynamically cycles through different x-axis attributes every two seconds, showing how the data distribution changes. The scatter plot uses distinct shapes for each species, with squares, triangles, and circles representing different plant types. Built with D3.js, the example demonstrates a reusable chart module that handles axis generation, scaling, and responsive SVG rendering with animated transitions.

Aarchanagoli@my.unt.edu
87% match
Loading thumbnail…

Reusable scatter plot_Archana Goli

This interactive scatter plot displays the Penguins dataset, with each species (Adelie, Chinstrap, Gentoo) represented by a distinct shape—square, triangle, or circle—positioned by body mass and culmen length. The visualization cycles through four numerical attributes every two seconds, updating the x-axis accessor to explore different correlations. Built with D3.js (v6.7.0), the reusable chart component uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`, with SVG paths and a two-second `setInterval` for animation, loading data from a GitHub Gist CSV.

Aarchanagoli@my.unt.edu
78% match
Loading thumbnail…

3D Scatter Plot

This example visualizes the Wheat kernel dataset as a 3D scatter plot, displaying Area, Perimeter, and Kernel Length as markers in three-dimensional space. It also includes a second trace that combines Area, Perimeter, and Kernel Width, using distinct colors and marker symbols to differentiate the two series. The visualization is built with Plotly’s `scatter3d` and `scatter2d` types, with data loaded via D3’s `d3.csv` and rendered into a `div` using `Plotly.newPlot`. The layout margins are set to zero for a clean, full-bleed presentation.

Ssuchitra2602
78% match
Loading thumbnail…

3D Scatter Plot

This example shows a 3D scatter plot of wheat dataset attributes, with two traces comparing relationships between Area, Perimeter, and both Kernel_Length and Kernel_Width. The Plotly.js library renders the interactive visualization, while d3.csv loads the data from a GitHub-hosted CSV file. The code defines trace-specific marker styles, including sizes, colors, and opacity, and uses a minimal layout with all margins set to zero.

Ssuchitra2602
78% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot

This fork of the Iris Dataset scatter plot cycles through four flower measurements every two seconds, animating which dimension appears on the x-axis while sepal length stays fixed on the y-axis. Built with D3 v6, it uses `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `selectAll` to render SVG circles and axes. The reusable chart pattern exposes setter methods like `xValue` and `radius` for configuration. Data loads from a CSV via `csv()` and is parsed to numbers; a `setInterval` triggers re-renders to switch columns.

Aarchanagoli@my.unt.edu
77% match
Loading thumbnail…

Assignment 2.5:Reusable Scatter plot

This example demonstrates a reusable scatter plot that visualizes the nutritional properties of cereals, with the x-axis cycling through cups, sugars, sodium, and carbohydrates over time. The plot encodes three variables simultaneously using both the position of the circles and their horizontal and vertical radii, while color indicates the cereal's rating (red for low, orange for average, green for good). The visualization leverages D3 v6.7.0 APIs including `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `selectAll().join()` for rendering, and it smoothly animates between different x-axis variables using `setInterval`. The code loads data from a CSV file and renders the interactive chart as SVG within a full-window canvas.

Ppjdhungana@gmail.com
77% match
Loading thumbnail…

Reusable D3 Scatter Plot

This example demonstrates a reusable scatter plot that visualizes the Iris Dataset, displaying measurements like petal width and sepal length as colored circles. It cycles through different column pairs every two seconds, animating the axes and points to show relationships between various flower attributes. The chart uses D3 v6 APIs including `scaleLinear`, `axisLeft`, `axisBottom`, and a custom `scatterPlot` function that follows the reusable chart pattern. Data loads via `csv` from a GitHub Gist, and the SVG rendering updates smoothly as the selected variables change.

AAkrutiKhurana2103
77% match