Skip to main content
SimilarExport ZIP
100%

trial

✓ Published0🌍 Public
Mmairalvinit
Last edited Jun 20, 2021
Created on Jun 20, 2021
Forked from HTML Starter

This example displays a plain-text summary of a CSV file’s contents, showing the number of rows, columns, and approximate file size in kilobytes. It fetches a named colors dataset from a GitHub gist, parses it with `d3.csvParse`, and writes the resulting statistics into a large `<pre>` element. The page uses `fetch` and `async/await` to load the data asynchronously, with the output styled via CSS. No visual chart or interactive element is present; the focus is on demonstrating data loading and basic parsing with D3 v7.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fetch data with D3js

This example demonstrates how to fetch and parse CSV data with D3.js, displaying a summary message in a large preformatted text element. It loads a CSS named colors dataset from a GitHub gist using D3's `d3.csv` method, then calculates and shows the file size in kilobytes, the number of rows, and the column count. The code formats the raw CSV data with `d3.csvFormat` to measure its length, and writes the resulting metrics into the page via `textContent` within a promise handler.

Jjbruzzo
80% match
Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates the process of fetching and parsing a CSV file, displaying summary statistics about the dataset as large text. It uses the `fetch` API to retrieve a remote CSV file containing CSS color names, then parses the text with `d3.csvParse` from D3 v7. The resulting message reports the file size in kilobytes, the number of data rows, and the number of columns, all rendered inside a `<pre>` element. The visualization focuses on confirming successful data loading and structure.

TTarul170720
80% match
Loading thumbnail…

Loading and Parsing Data

This example demonstrates how to load a remote CSV file and display basic summary statistics. It fetches CSS named colors data from a GitHub gist, then uses `d3.csv` to parse the file asynchronously, counting the number of rows, columns, and the formatted file size in kilobytes. The resulting message is rendered into a `<pre>` element with large font styling. The code also includes commented-out alternatives using `fetch`, `async/await`, and `d3.csvParse`, highlighting different parsing workflows available in D3 v7.

DDavid Kim
80% match
Loading thumbnail…

Loading and Parsing CSV data

This example demonstrates loading and parsing a CSV file from a remote URL, then displaying summary statistics about the dataset as large text. It uses D3’s `d3.csv` method to fetch and parse the file, then reports the formatted size in kilobytes, the number of rows, and the number of columns. The data comes from a GitHub gist containing CSS named colors. The visualization is minimal, rendering the textual summary in an HTML `<pre>` element styled with a large font size, with no graphical chart involved.

JJusung
79% match
Loading thumbnail…

fetch csv etc

This example demonstrates how to fetch a remote CSV file using D3’s `d3.csv` method and display basic metadata about the dataset in plain text. It renders the file size in kilobytes, the number of columns, and the number of rows into a `<pre>` element. The code loads a CSS color list from a GitHub gist, and uses `d3.csvFormat` to calculate the raw data’s size. React is imported but unused, while D3 v7 handles the asynchronous data loading and parsing.

Ppianojoel
79% match
Loading thumbnail…

Parsing CSV Data

This example displays a text summary of a CSV dataset loaded from a remote URL. Using the D3.js `d3.csv` method, it fetches and parses the file, then reports the row count, column count, and approximate file size in kilobytes into an HTML `<pre>` element. The sample data comes from a raw GitHub-hosted CSV file containing CSS named colors. The page is minimal, with a large-font style applied to the output container.

DDhvanil Vaghasiya
79% match
Loading thumbnail…

Loading and Parsing csv Data

This example demonstrates loading and parsing a CSV file with D3 v7, displaying summary statistics about the dataset in large text. It fetches a remote CSV containing CSS named colors using the `d3.csv` method, which returns a promise that resolves to parsed data. The code then computes the formatted CSV size in kilobytes, counts the number of rows and columns, and renders these values to a `<pre>` element. Commented-out alternatives show the same process using `fetch`, `async/await`, and `d3.csvParse`.

Nn.koldovsky@gmail.com
79% match
Loading thumbnail…

Loading and Parsing CSV Data

This example displays summary statistics from a CSV file containing CSS named colors, showing the file size in kilobytes, row count, and column count in large text. The visualization loads the data using D3 v7’s `d3.csv` method, which parses the remote CSV from a GitHub gist. It then computes the formatted CSV size with `d3.csvFormat` and accesses the parsed array’s `length` and `columns` properties to report the dataset’s dimensions. The result is rendered into a `<pre>` element, demonstrating a minimal, text-based overview of the data’s structure without any charts or graphical elements.

Ddimanya
79% match