building a heatmap

Hello VizHub

This example demonstrates a simple data-loading workflow using D3.js version 5 and ES6 modules. It displays a static "Hello VizHub!" message styled with a large Ubuntu font on a dark blue background. The code imports the `select` and `csv` functions from D3, then fetches `data.csv` asynchronously and logs the parsed population data to the browser console. No visual representation of the data is rendered—only the message and console output are shown.

Ppin84

Heatmap

A d3.js heatmap displays a matrix of values using the Inferno color scale, with each cell representing a combination of a group and variable from a CSV dataset loaded from GitHub. The SVG rendering includes band scales for axes, rounded rectangles, and a tooltip that shows the exact value on hover. The code uses d3.scaleSequential with d3.interpolateInferno, d3.axisBottom, d3.axisLeft, and mouse event handlers for interactivity.

Bbepnye@gmail.com

Example of Heatmap using D3 with React

This heatmap displays a 10-by-10 grid of values using a white-to-teal linear color scale (`d3.scaleLinear`) mapped from a CSV dataset loaded via `d3.csv`. The graphic uses React to render SVG rectangles for each cell, with `d3.scaleBand` positioning the rows and columns. Axis labels for groups (A–J) and variables (v1–v10) are drawn as SVG text elements. The full window is filled with the visualization, and the chart includes a title above the plot area.

LLewis Ward

Heat Map

A 5x5 heat map visualizes numeric values from a CSV file as colored squares, using a quantile scale with a sequential orange colormap to encode values from 1 to 20. The SVG rendering employs d3.csv for data loading, d3.scaleQuantile for color mapping, and d3.axisRight and d3.axisBottom to display axes. A tooltip appears on mouseover, showing the exact value of each cell.

CChai94

Heatmap with D3 Overlay

This example displays a heatmap of 100 data points across 10 variables and 10 groups, with each cell colored on a teal-to-green gradient using d3.scaleLinear. A large white "D3" text overlay is positioned at the center of the SVG canvas, creating a visual watermark effect. The React component loads CSV data via d3.csv and renders the chart using d3.scaleBand for axes and SVG rect elements. The overlay text is drawn directly within the same SVG group, demonstrating how to combine data-driven visualizations with static annotations in a React-D3 workflow.

LLewis Ward

Hello VizHub

This example displays a dataset of country populations, loading the information from a CSV file using `d3.csv`. The page presents a large, stylized "Hello VizHub!" message in a bold font, centered against a dark blue background with an Ubuntu typeface. The visualization demonstrates basic D3.js v5 data loading and ES6 module usage, though it currently only logs the parsed data to the console. The minimal setup relies on a simple SVG container and a separate JavaScript module that exports the greeting text, showcasing the integration of external stylesheets and modular code structure.

SSanjeet10

Heatmap

A heatmap displays the value of a product across five countries, with each cell color-coded by the numeric value. The visualization uses a threshold color scale to map values into three colors, while missing data appears as blank cells. The code loads data from a CSV file and renders the heatmap as SVG rectangles using d3.csv, d3.scale.ordinal, d3.svg.axis, and d3.scale.threshold.

CCasperHogenboom

Hello VizHub

This example demonstrates a minimal D3.js workflow in VizHub, loading a small CSV dataset that maps student names to exam grades. It uses `d3.csv` to fetch the data and logs the parsed array to the browser console within a `render` function, while the page itself remains visually empty aside from an empty `#chart` container. The code styles the body with an Ubuntu font and large text, but performs no chart rendering or DOM manipulation beyond data loading.

GGlenn Henshaw