Billionaires Dot Chart

Dot Plot

This dot plot visualizes the ages of billionaires, with each green dot representing one individual’s age along the y-axis and their sequential index on the x-axis. The p5.js sketch loads a CSV dataset in `preload()` using `loadTable`, filters out zero-age entries, then renders axes, tick marks, and axis labels in `draw()`. It uses `map()` to scale data points, `ellipse()` for the dots, and `line()` for the chart framework, all within a 900x600 canvas.

RRiya Mathur

82% match

Billionare Bar Chart

This bar chart displays the wealth of billion-dollar companies, with each bar representing a company’s worth in billions of dollars. The visualization uses p5.js to load CSV data from a GitHub Gist, sort wealth values, and render bars on a canvas with labeled axes, company names, and hover interactions that reveal approximate values. The chart shows the range of company valuations from the dataset, which was modified to include distinct companies from their earliest established time.

AAllen Ho

82% match

p5.js.billionaires.dotPlot

This dot plot visualizes the relationship between billionaire inheritance type and total wealth, with each circle representing an individual. Data is loaded from a remote CSV file using p5.js `loadTable` in `preload()`. The sketch draws axes, gridlines, labels, and data points via the p5.js `circle()` function, mapping wealth values to x-coordinates and inheritance categories to y-positions. The visualization uses a dark background and blue circles to distinguish data points.

77% match

dotplot_billionaires.p5.js

A dot plot shows the average net worth in billions for billionaires grouped by inheritance type, ranging from spouse or widow at $4.53 billion to fifth-generation at $2.64 billion. Built with p5.js, the sketch loads a remote CSV via `loadTable` in `preload`, then draws axes, gridlines, labels, and blue circles positioned by scaling each value along the x-axis in `draw`. The data comes from the Corgis billionaires dataset, filtered to two columns and averaged per category.

dot

This dot-and-bar visualization displays the relationship between inherited type and total net worth for billionaires, plotting categorical data along the x-axis and numerical worth values scaled vertically. The sketch loads a CSV dataset from a GitHub gist using the `loadTable` function in Processing (via p5.js), then draws axes, gridlines, and text labels on an 800×800 canvas. Bars represent worth values, with labels for inherited types positioned below, while the y-axis includes tick marks and numeric increments.

New Bar Chart D3

This bar chart displays the wealth of billionaires, grouped by company name, with bar heights and colors scaled to each billionaire’s net worth in billions of dollars. Built with D3 v6 and React, the visualization loads CSV data from a GitHub gist, uses `d3.scaleBand` and `d3.scaleLinear` for axes, and renders bars as SVG rectangles with hover effects via CSS. Axes are drawn using `d3.axisBottom` and `d3.axisLeft`, and each bar includes a tooltip title showing its value.

AAllen Ho

dotplot.billionaires.p5.js

This dot plot compares the average net worth of billionaires across different inheritance categories, from non-inherited wealth to those inherited through a spouse or widow. The p5.js sketch loads a filtered CSV dataset from the Corgis billionaires collection via `loadTable`, then renders labeled axes with tick marks and grid lines. It places each category label along the x-axis while computing the plotted positions from the average worth values in billions, though the visual encoding relies on the canvas drawing API rather than a dedicated charting library.