data vis srubio

100%

data vis srubio

✓ Published0🌍 Public

Last edited Jul 12, 2021

Created on Jul 11, 2021

This visualization displays the size of a CSS named colors dataset by showing its file size, row count, and column count in large text. The page loads a CSV file from a GitHub gist and uses d3.csv to parse the data, d3.csvFormat to calculate the byte size, and document.getElementById to update the message container. The visualization presents the computed statistics as plain text, making the data dimensions immediately readable.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

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

85% match

Loading thumbnail…

CSV Colour Data Visualization

This example displays concise statistics about a CSV file in a large-text infographic. It reports the file size in kilobytes, the total number of rows, and the number of columns, all drawn from CSS named colour data loaded from a remote GitHub gist. The visualization uses D3 v5’s `d3.csv` to fetch and parse the data, then `d3.csvFormat` to compute the formatted size, with the results rendered inside a `<pre>` element via `textContent`.

Ssahildesignzz@gmail.com

83% match

Loading thumbnail…

Import data with D3

This visualization demonstrates how to import and summarize a CSV dataset using D3. It loads the CSS named colors dataset from a GitHub gist via `d3.csv`, then displays the file size in kilobytes, row count, and column count in a large text format. The page uses D3 v6 and plain HTML, with the results rendered into a `<pre>` element. The example highlights the promise-based data loading pattern and formatting utilities like `d3.csvFormat`.

Kkragovic

82% match

Loading thumbnail…

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

82% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates the basics of loading and parsing CSV data with D3.js, displaying summary statistics about a dataset of named CSS colors. The visualization shows the file size (123 kB), row count (148 rows), and column count (4 columns) in large text. It uses the `d3.csv` function to fetch and parse the remote CSV file from a GitHub Gist, then `d3.csvFormat` to calculate the data size. The page presents the results in a simple pre-formatted text container, with commented-out alternatives using fetch and `d3.csvParse`.

Kkrandslam

81% match

Loading thumbnail…

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

81% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example displays the size and structure of a CSS Named Colors dataset, showing the file size in kilobytes, the number of rows, and the number of columns. The visualization uses D3.js v5, specifically the `d3.csv` method to load the CSV file and the `d3.csvFormat` function to measure the data length. The text is rendered in a large, fixed-size font within an HTML `<pre>` element, updating the message container dynamically once the data is parsed. The data source is a remote GitHub gist containing the named colors.

Aallicia1202

81% match

Loading thumbnail…

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

81% match