Skip to main content
SimilarExport ZIP
100%

Physical Health vs BMI Scatter Plot

✓ Published1🌍 Public
Cchandanagandla
Last edited Apr 9, 2023
Created on Apr 9, 2023
Forked from HTML Starter

This scatter plot visualizes the relationship between physical health and body mass index (BMI) using a dataset from Heart2020Cleaned.csv. Each blue circle with a black stroke represents an individual data point, with BMI mapped to the x-axis and PhysicalHealth to the y-axis. The visualization uses d3.v7’s `scaleLinear`, `axisBottom`, and `axisLeft` to render the axes, while circles are appended to an SVG via `selectAll` and `enter`. The code, written in plain JavaScript, also makes use of D3’s `csv` function for asynchronous data loading.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Project

This scatter plot visualizes the relationship between BMI and heart disease status, using data loaded from a CSV file hosted on GitHub. The x-axis maps BMI values, while the y-axis encodes heart disease presence as a binary 0 or 1, with semi-transparent blue circles showing individual data points. Built with React and D3 v6, the code uses `d3.csv`, `scaleLinear`, `axisLeft`, and `axisBottom` to render the SVG chart across the full browser window, with custom margins and axis labels.

Sshreyasribearelly@gmail.com
82% match
Loading thumbnail…

HeartDisease

This example visualizes the relationship between SleepTime and BMI using a scatter plot, where each point represents an individual, colored red or green based on HeartDisease status. The x-axis maps BMI and the y-axis maps SleepTime, with point sizes varying according to PhysicalHealth and MentalHealth values. It loads CSV data via d3.csv, scales the axes with d3.scaleLinear, renders circles in SVG, and uses d3.axisBottom and d3.axisLeft for the axes. The chart’s margins and dimensions adapt to the browser window.

Cchandanagandla
81% match
Loading thumbnail…

SCATTER PLOT by chaturya

This dual-panel chart compares BMI against height and weight across individuals using a bar chart layout. The left panel displays BMI values as green bars, while the right panel shows height and weight as paired orange and blue bars, respectively. Built with React and D3, the visualization uses `scaleBand` and `scaleLinear` for axes, with `csv` loading data from a GitHub-hosted BMI dataset. Custom axis groups rotate x-axis labels for readability, and rounded bar corners add polish. The SVG rendering clearly contrasts the three metrics, though the title in the provided code does not match the requested scatter plot description.

CChaturyaAkhilaPallem@my.unt.edu
80% match
Loading thumbnail…

Scatterplot of Body Mass Index for Different Health Statuses

This scatterplot shows the relationship between age and body mass index for individuals, with colors indicating their general health status. The chart uses a React and SVG rendering pipeline with d3.v5's scaleLinear for the x and y axes and scaleOrdinal for the color mapping. Data comes from a CDC dataset loaded via d3.csv. Hovering over any point displays the age as tooltip text.

RRidhima Saxena
79% match
Loading thumbnail…

People BMI 3D Scatter Plot

This example displays a 3D scatter plot of people’s Body Mass Index (BMI) using height, weight, and index values loaded from a CSV file. The plot renders pink elliptical markers in three-dimensional space, with axis titles for Height, Weight, and Index styled in brown. It uses the Plotly `scatter3d` trace type via `Plotly.newPlot` to draw the visualization, while D3’s `csv` function handles data loading and parsing. The layout configuration sets margins and custom axis title fonts.

RRupeshGandham
79% match
Loading thumbnail…

Scatterplot of Body Mass Index for Males and Females

This scatterplot displays the relationship between age and body mass index (BMI) for males and females, using data from a CDC dataset. Each point is colored by gender via a d3.scaleOrdinal, with BMI computed from weight and height. The visualization is built with React and d3.v5, rendering SVG circles, axes, and a color legend. Axes and marks are generated using scaleLinear and custom React components, with loading states handled asynchronously.

RRidhima Saxena
79% match
Loading thumbnail…

SCATTER PLOT by chaturya

The visualization displays a dual-panel bar chart comparing BMI alongside height and weight measurements for individuals loaded from a CSV dataset. The left panel renders BMI values as a single set of rounded bars, while the right panel shows grouped bars for height and weight side by side. Built with React and D3 v5, it uses `d3.csv` to parse the data, `scaleBand` and `scaleLinear` to map categorical names and continuous values, and `axisBottom`/`axisLeft` to generate axes. The chart encodes the quantitative channels through bar lengths, with distinct colors differentiating height and weight in the second panel.

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

Fork of Heart Disease Scatter Plot

This fork of a Heart Disease scatter plot shows the relationship between a patient’s BMI and the presence of heart disease, with the X-axis representing BMI and the Y-axis indicating heart disease status. The visualization uses D3 v6 to load CSV data from a GitHub gist, parse values with `d3.csv`, and map them to SVG circles via `d3.scaleLinear`. Axes are drawn with `axisLeft` and `axisBottom`, and the plot is rendered as an SVG canvas. The data originates from the Heart Disease UCI Kaggle dataset.

Ssahajm99@gmail.com
78% match