Skip to main content
SimilarExport ZIP
100%

Activity6_task3

✓ Published4🌍 Public
Kkandulasunny17@gmail.com
Last edited Oct 22, 2024
Created on Oct 22, 2024
Forked from Hello VizHub

This scatter plot visualizes the Iris dataset, using petal length and width for the x and y axes. It colors each point by species—setosa, versicolor, and virginica—with distinct colors and also maps sepal length and width to the circle’s rx and ry attributes, though the effect is subtle. Built with D3 v6 via UNPKG, the code loads data from a raw GitHub CSV, uses `select`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to render axes and circles in an SVG, with custom styling for the title and tick labels.

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…

Activity6_Task3.1

This scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes while coloring each point by species (setosa, versicolor, virginica) using skyblue, lightgreen, and orange. It also encodes sepal length and width as additional properties per circle. Built with D3 v6, the code uses `csv`, `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and SVG circle elements. Data is loaded from a remote GitHub CSV, with axes and labels rendered into a full-window SVG.

Nnikhilthoutu24@gmail.com
96% match
Loading thumbnail…

Activity-6-Task-3

This scatter plot visualizes the Iris dataset, mapping petal length and petal width on the x- and y-axes while coloring points by species (setosa, versicolor, and virginica) using skyblue, lightgreen, and orange. It also encodes sepal length and width into the circle attributes `rx` and `ry`, creating elliptical markers. Built with D3 v6, the code loads CSV data via `d3.csv`, uses `scaleLinear` and `extent` for scales, and renders SVG circles with `selectAll` and `join`. Axis labels are added via `axisLeft` and `axisBottom`.

Kkotasc18@gmail.com
96% match
Loading thumbnail…

Activity6_task3.1

This scatter plot visualizes the Iris dataset, mapping petal length and width on the axes while coloring each point by species (setosa, versicolor, or virginica). It also encodes sepal length and width in each circle’s rx and ry attributes, making the marks elliptical. Built with D3 v6, the code loads CSV data from a GitHub URL, uses `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` from the D3 API, and renders SVG circles with a custom marker function for color. The visualization fills the browser window’s full width and height.

11810vineeth@gmail.com
96% match
Loading thumbnail…

Activity6_Task3

This scatter plot visualizes the Iris dataset, mapping petal length and width for individual flowers while coloring points by species (setosa, versicolor, virginica) using an SVG circle per data row. D3 v6 loads CSV data via `d3.csv` from a GitHub raw URL, then applies `scaleLinear` and `extent` to position marks, with `axisLeft` and `axisBottom` generating labeled axes. The code also binds sepal measurements to circle radius attributes via `rx` and `ry`, though visual scaling is not applied.

KKhushi Desai
96% match
Loading thumbnail…

Activity6_Task3

This scatter plot visualizes the Iris dataset, displaying petal length on the x-axis and petal width on the y-axis. Each circle represents a flower, colored by species (skyblue for setosa, lightgreen for versicolor, orange for virginica) using a custom mapping function. Built with D3 v6, the example loads data via `d3.csv` from a GitHub URL, scales axes with `scaleLinear` and `extent`, and renders SVG circles with `select` and `.join`. Axis labels and ticks are added with `axisLeft` and `axisBottom`.

Ssatvikreddy79@gmail.com
96% 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
96% match
Loading thumbnail…

Activity6_Task3.1

This scatter plot visualizes the Iris dataset by mapping petal length and petal width, with points colored by species (setosa, versicolor, virginica). Using D3 v6, the code loads CSV data with the `csv` function, creates axes with `axisLeft` and `axisBottom`, and applies `scaleLinear` for positioning. Circles are rendered via SVG selections, with an unusual use of `rx` and `ry` attributes based on sepal dimensions. The raw data comes from a GitHub-hosted CSV file.

VVidya Lakshmi Chitturi
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