Skip to main content
SimilarExport ZIP
100%

Fork of Boxplot of Sex vs Age of Skin Cancer 100 Patients

✓ Published0🌍 Public
Vvryvarma5577@gmail.com
Last edited Apr 9, 2023
Created on Apr 9, 2023

This visualization compares the age distribution of skin cancer patients by sex using side-by-side box plots. The chart displays quartiles, medians, whiskers, and outliers for each group, with age on the y-axis and sex on the x-axis. Built with D3 v4, it loads CSV data from a GitHub gist and uses d3.nest() and d3.quantile() to compute summary statistics, then renders the boxes, median lines, and axes as SVG elements.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

Boxplot of Sex vs Age of Skin Cancer 100 Patients

This example shows side-by-side boxplots comparing the age distribution of 100 skin cancer patients by sex, with age on the y-axis and sex on the x-axis. The plot uses d3.csv to load patient data, d3.nest with rollup to compute quartiles, medians, and interquartile ranges, and d3.scaleBand and d3.scaleLinear for axes. Boxes, median lines, and vertical whiskers are drawn as SVG rect and line elements. The data source is a remote CSV file, rendered with d3.v4.

IIsha Singh
93% match
Loading thumbnail…

Bar Chart: Age Patients Are Diagnosed In What Location

This bar chart shows the age at which patients are diagnosed with skin cancer across different body locations, with bars colored in teal. The x-axis lists the localization sites with rotated labels, while the y-axis displays age from 0 to 90. Built with d3.v4, it loads CSV data from a GitHub gist, uses `d3.scaleBand` for the x-axis, `d3.scaleLinear` for the y-axis, and renders both axes and bars as SVG elements.

IIsha Singh
75% match
Loading thumbnail…

Fork of Box Plot

This visualization presents a fork of a classic box plot, summarizing the distribution of new COVID-19 cases across different locations using React and D3 v5. The view displays min, quartiles, median, and max values for each categorical group after filtering to cases above 5,500. The implementation uses D3's `scaleBand`, `scaleLinear`, and `quantile` functions to compute the five-number summaries and render SVG elements, including vertical range lines, interquartile rectangles, and median markers. Data is loaded from a CSV file hosted on GitHub via D3's `csv` loader.

Vvryvarma5577@gmail.com
72% match
Loading thumbnail…

Fork of Box Plot

This visualization presents a fork of a classic box plot, summarizing the distribution of new COVID-19 cases across different locations using React and D3 v5. The view displays min, quartiles, median, and max values for each categorical group after filtering to cases above 5,500. The implementation uses D3's `scaleBand`, `scaleLinear`, and `quantile` functions to compute the five-number summaries and render SVG elements, including vertical range lines, interquartile rectangles, and median markers. Data is loaded from a CSV file hosted on GitHub via D3's `csv` loader.

Vvryvarma5577@gmail.com
72% match
Loading thumbnail…

Box Plot

This example displays a horizontal box plot summarizing the distribution of age values from a hepatitis C patient dataset. The chart shows the minimum, first quartile, median, mean, and maximum as colored lines and a rectangle, with whiskers extending to the full data range rather than using the 1.5 IQR rule. Built with React and D3 v6, it computes statistics using d3.min, d3.max, d3.quantile, and d3.mean, scales the x-axis with d3.scaleLinear, and renders SVG elements through reusable AxisBottom and BoxPlot components.

WWaseem Medhat
71% match
Loading thumbnail…

bar chart

This bar chart displays the distribution of males and females across six age groups, ranging from 20 to 50 years, using a pie chart layout. Built with D3.js v7, it fetches CSV data from a GitHub gist, processes the counts by age group and gender, and renders the visualization as SVG. The chart includes a legend showing total counts per age group and uses an interactive tooltip that appears on mouseover to reveal the specific male and female counts for each slice.

RRakesh Kumar Chekuri
70% match
Loading thumbnail…

Fork of Scatter Plot with Shape

This visualization is a scatter plot showing the relationship between patient age and heart rate, with data points shaped by gender. It uses D3 v7 to render symbols from the `symbolsFill` set, mapped via `scaleOrdinal`, and includes a custom legend for the shape encoding. The plot leverages `scaleLinear` for both axes and fetches healthcare data from a remote CSV. Key APIs include `d3.csvParse`, `d3.extent`, `d3.axisLeft`, `d3.axisBottom`, and the `d3.symbol` generator for drawing point shapes.

Aaniteshterala2000
69% match
Loading thumbnail…

Fork of Fork of Box Plot

This example shows box plots for new COVID-19 cases by country, displaying minimum, first quartile, median, third quartile, and maximum values derived from a CSV dataset. The chart uses the D3 `scaleBand` and `scaleLinear` functions for positioning, with React components rendering each plot element as SVG. The data is aggregated using D3’s `nest`, `quantile`, and `rollup` functions, and the visualization is inspired by a D3 graph gallery example. Axis ticks are generated separately with custom React axis components.

Vvryvarma5577@gmail.com
69% match