Skip to main content
SimilarExport ZIP
100%

Activity_6_task_3

✓ Published0🌍 Public
Aazeemrm630@gmail.com
Last edited Oct 22, 2024
Created on Oct 22, 2024
Forked from Hello VizHub

This scatter plot visualizes the Iris dataset, mapping petal length and width for each flower specimen, with points colored by species (setosa, versicolor, or virginica). The visualization uses D3 v6 to load the CSV data, scales the coordinates, calculates the extent of the data, and renders circles in an SVG. It leverages D3's `scaleLinear`, `axisLeft`, `axisBottom`, and an interactive `join` operation to bind data to the circles, with a custom marker function assigning fill colors based on species.

AI-generated description

An example showing the capabilities of VizHub:

  • Loads D3 via UNPKG.
  • Demonstrates use of import from "d3".
  • Demonstrates use of import from local ES6 modules.
MIT Licensed

Similar vizzes

Loading thumbnail…

Activity_6_Task_3

This scatter plot visualizes the Iris dataset, mapping petal length and width on the x and y axes, with points colored by species (setosa, versicolor, virginica). It uses D3 v6's `scaleLinear`, `extent`, `csv`, and `axisLeft`/`axisBottom` APIs to load data from a GitHub-hosted CSV, compute scales, and render an SVG with circular markers whose fill colors are assigned via a switch statement based on the species field.

AAbrarb702@gmail.com
96% match
Loading thumbnail…

Activity6_task3

This scatter plot visualizes the Iris dataset, showing petal length against petal width, with each circle colored by species (setosa, versicolor, or virginica). The SVG visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom`, loading data from a GitHub-hosted CSV file. Scales map the data domain to pixel ranges, while circles are joined via `selectAll` and `join`. Axis labels and colored points are rendered in a full-window responsive layout.

Ssaibharath7thota@gmail.com
96% match
Loading thumbnail…

Activity_6 Task3

This scatter plot visualizes the Iris dataset, mapping petal length and width onto the x and y axes, with points colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica). The visualization is built with D3.js v6, using `d3.csv` to load data, `d3.scaleLinear` to create scales, and `axisLeft`/`axisBottom` for axes. The SVG rendering uses circle marks, with each point’s radius fixed at 5 pixels.

Bbhavanadupati3@gmail.com
96% match
Loading thumbnail…

Activity6 task3

This scatter plot visualizes the Iris dataset, mapping petal length and width for each sample while coloring points by species (setosa, versicolor, and virginica) using D3 v6. The SVG rendering uses `scaleLinear` for both axes, `extent` to set domains, and `axisLeft`/`axisBottom` for tick marks. Data is loaded asynchronously from a GitHub CSV via `d3.csv`, with each circle assigned a radius of 5 and a species-specific fill color from a simple switch statement.

Vvishnutejareddyambati@my.unt.edu
96% match
Loading thumbnail…

Activity6_Task3_1

This scatter plot visualizes the Iris dataset, mapping petal length against petal width for individual flowers. Each point is colored by species—setosa, versicolor, and virginica—using skyblue, lightgreen, and orange. The visualization is built with D3 v6, loading data via CSV and rendering SVG circles. It uses `scaleLinear` for axes, `axisLeft` and `axisBottom` for ticks, and custom radius scaling based on sepal dimensions, though it does not apply multi-dimensional scaling.

Vvemurisuchitha@gmail.com
95% match
Loading thumbnail…

Activity6_Task3.1

This scatter plot visualizes the Iris dataset, mapping petal length and petal width as x and y coordinates while coloring each point by species (setosa, versicolor, or virginica). It loads CSV data from a GitHub URL and renders circles with D3 v6, using `d3.csv`, `scaleLinear`, `extent`, and `axisLeft`/`axisBottom` to construct axes. The SVG-based visualization labels both axes and includes a fixed point radius, with species-specific colors applied via a switch statement.

Vvemulasai306@gmail.com
95% match
Loading thumbnail…

Activity6_task3

This scatter plot visualizes the Iris dataset, mapping petal length on the x-axis and petal width on the y-axis, while coloring each circle by species (setosa, versicolor, and virginica). The chart displays all 150 data points using SVG circles, with species-specific colors applied via a switch function. Built with D3 v6, the visualization uses `d3.csv` to load data from a GitHub-hosted CSV, `scaleLinear` for axes, and `axisLeft`/`axisBottom` for tick marks. Axis labels are styled with green text for petal length and sepal length.

Ddineshreddy.ravula@gmail.com
95% match
Loading thumbnail…

Activity 6_task 3

This scatter plot visualizes the Iris dataset, showing petal length against petal width for individual flowers, with points colored by species (setosa in skyblue, versicolor in lightgreen, and virginica in orange). The visualization uses D3 v6 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to load data from a GitHub-hosted CSV, map values to screen coordinates, and render an SVG with labeled axes. Each circle’s radius is fixed at five pixels, though the code also computes sepal dimensions as additional metadata.

Jjampani921@gmail.com
95% match