Skip to main content
SimilarExport ZIP
100%

3question_az

✓ Published0🌍 Public
Aazeemrm630@gmail.com
Last edited Oct 25, 2024
Created on Oct 25, 2024

This scatterplot visualizes cancer diagnosis data, distinguishing benign (green) and malignant (red) tumors based on mean radius and texture. The D3 v6 example loads data from a CSV, uses `scaleLinear` and `extent` to set axes, and renders SVG circles with `axisLeft` and `axisBottom` for labels. The page employs full-window sizing and custom font styling.

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…

Question3

This example visualizes cancer data as a scatterplot, plotting tumor radius mean on the x-axis against texture mean on the y-axis. Each point is colored green for benign diagnoses and red for malignant ones, based on the dataset’s Diagnosis field. The code loads CSV data via `d3.csv` from a GitHub raw URL, then uses `d3.scaleLinear`, `d3.extent`, `d3.axisLeft`, and `d3.axisBottom` to construct the chart. Rendering is done with SVG circles, with axes and labels appended directly to the SVG container.

Vvishu.valandas@gmail.com
90% match
Loading thumbnail…

Activity6_Task3 Question 1

This scatter plot visualizes the Cancer dataset, plotting each sample’s mean radius against its mean texture. Points are colored by diagnosis—sky blue for benign (B) and orange for malignant (M)—with a legend in the upper right. Built with D3 v6, the visualization loads CSV data from a GitHub repository, uses `scaleLinear` for axes, and renders circles via SVG. Axis labels and ticks are generated using `axisLeft` and `axisBottom`, while the plot dimensions adapt to the browser window.

Rramsrinivaskatragadda@my.unt.edu
83% match
Loading thumbnail…

Reusable D3 Scatter Plot

This interactive scatter plot visualizes cancer mortality trends in the USA, cycling through liver, breast, and prostate cancer datasets. Built with D3 v6 as a reusable chart, it animates between cancer types every 3 seconds, updating the y-axis and point symbols (star, square, circle) accordingly. The chart leverages SVG rendering and custom symbol mappings to distinguish cancer types, with axes and margins configured for readability.

Bbhavana.bayyapu@gmail.com
77% match
Loading thumbnail…

question-3

This example visualizes a scatter plot of height and weight data, with points colored by category using skyblue, lightgreen, and orange. The SVG rendering uses D3 v7 APIs including `csv`, `scaleLinear`, `extent`, `axisLeft`, and `axisBottom` to map the data to axes and draw circles. The code loads data from a GitHub Gist URL and applies a custom parsing function to convert numeric fields. Axis labels are styled with green Times New Roman text, and the plot fills the browser window.

Aajaykumarakula00@gmail.com
77% match
Loading thumbnail…

Activity 6_question 3

A scatter plot visualizes the Diabetes DataSet, mapping blood pressure on the x-axis against skin thickness on the y-axis. Each point is colored black or orange based on the outcome, and the circle radius is constant. The visualization is built with D3 v6, using `scaleLinear`, `extent`, `axisLeft`, `axisBottom`, and `select` to load CSV data from GitHub and render SVG circles, with axis labels styled via CSS.

Aanusha.chilkamarri26@gmail.com
76% match
Loading thumbnail…

ICE-6 Scatter Plot

This scatter plot visualizes the Breast Cancer Wisconsin dataset, showing the relationship between the radius and texture mean of cancer cells. Each point is colored blue or yellow to indicate a malignant or benign diagnosis, with axis labels for both dimensions. The visualization is built using D3 v6 within a React framework, loading CSV data via `d3.csv` and rendering SVG circles with `d3.scaleLinear`, `d3.extent`, and `d3.axisLeft`/`d3.axisBottom`. It uses JavaScript’s `innerWidth` and `innerHeight` to size the chart responsively.

KKetha
75% match
Loading thumbnail…

question-3

This scatter plot visualizes a dataset, mapping one attribute to the x-axis and another to the y-axis, with each point’s color representing a species category. The visualization uses the D3 library (v6) to load CSV data via `d3.csv`, scales the axes with `d3.scaleLinear`, and renders the points as SVG circles. Additional data fields for sales cost and rating are mapped to the circle’s `rx` and `ry` attributes, though they are not visually apparent in the default rendering. Axis labels are added using SVG text elements.

Gganeshrajuparmalla@my.unt.edu
75% match
Loading thumbnail…

Fork of Reusable D3 Scatter Plot- ICE7

This animated scatter plot, built with D3.js, visualizes breast cancer tumor data from a CSV file, cycling through different feature pairs on the x-axis. It shows the relationship between various cell measurements, with data points colored by cancer stage (orange for stage one, blue for stage two, black for stage three). The visualization uses an SVG with a custom `scatterPlot` function and a `setInterval` animation to swap the x-axis variable, while a legend and axis labels clarify the mapping.

Aamiralitah
74% match