MLB Parks

Colors

This example displays basic statistics about a CSS colors dataset, including its size in kilobytes, row count, and column count, rendered as large text. It loads the data asynchronously from a GitHub gist using `d3.csv`, then computes the file size with `d3.csvFormat` and `Math.round`. The page uses D3 v7 and a plain HTML preamble, with the results injected into a `<pre>` element. The visualization focuses on summarizing the dataset’s dimensions rather than plotting points or shapes.

VVilmer98

D3 colors disp (pie)

This example displays a simple text summary of the CSS named colors dataset, showing the file size in kilobytes, number of rows, and number of columns. The application loads the CSV data from a GitHub gist using `d3.csv` and manages the asynchronous data fetching with React’s `useState` and `useEffect` hooks. Once loaded, the `message` function calculates the statistics using `d3.csvFormat` and renders the result inside a `<pre>` element, with a loading state shown until the data arrives.

SShantanu

CSS Named Colors

This example displays basic summary statistics about the CSS named colors dataset, showing the file size in kilobytes, the number of rows, and the number of columns. It loads a CSV file from a remote GitHub gist using the `d3.csv` function, then computes the text length of the formatted data via `d3.csvFormat`. The results are rendered as plain text in the browser body, with the page styled using a large 4rem font size. The code also includes an alternative commented-out approach using the native `fetch` API with `d3.csvParse`.

Dducan114

？

This example displays metadata about the CSS named colors dataset, including its file size, row count, and column count, in a plain text container. It loads the CSV from a remote URL using `d3.csv`, formats the raw text with `d3.csvFormat`, and calculates the kilobytes by dividing the string length. The page also renders a static yellow SVG circle with a red stroke using React, though the circle is unrelated to the data summary. The code uses D3 v7 for data fetching and parsing, with React handling the SVG output.

Vvanquisher2000

CSS Colors

This example displays summary statistics about a CSS color dataset. The visualization shows file size in kilobytes, row count, and column count from a CSV file. Using React with hooks, `useState` and `useEffect` load the data via `csv` from D3 v7. The `message` function formats the metrics using `csvFormat` from D3. The app renders the text output within a `<pre>` element, demonstrating a minimal data-loaded state with a loading message. The dataset comes from a GitHub gist URL providing CSS color names and values.

Aawidjaja777

TThandolwethu Shakes Dlamini

CSS Named Colors

This example presents a minimal web page that displays a text summary of a dataset containing CSS named colors. It retrieves the CSV data from a remote GitHub Gist using the `fetch` API, then parses the text with `d3.csvParse`. The parsed data is used to report the number of rows, columns, and the approximate file size in kilobytes, which is rendered as plain text in the browser. The page uses D3 v5 for CSV parsing and JavaScript's native `fetch` for loading the resource.

color visualization

This example displays metadata about a CSS color dataset fetched from a remote CSV file. It reports the file size in kilobytes, the number of data rows, and the number of columns, rendered inside an HTML `<pre>` element. The code uses `d3.csvParse` to parse the raw text and JavaScript’s `fetch` API to retrieve the data from a GitHub gist, with D3 loaded via a CDN. The visualization is minimal, focusing solely on textual summary statistics rather than graphical representation.

PPUUDI

Named colors

This visualization displays summary statistics about a named-colors dataset, including its file size in kilobytes, row count, and column count. The data loads from a CSV file hosted on GitHub, and the display updates in a large preformatted text block. The code uses D3 v7’s `d3.csv` to fetch and parse the data, `d3.csvFormat` to measure its size, and plain DOM manipulation to render the results. The example highlights basic data loading and formatting operations within a minimal HTML page.

AAmeer Nuri