Loading data

100%

✓ Published0🌍 Public

Last edited Jan 11, 2022

Created on Jan 8, 2022

This example demonstrates how to load and parse a remote CSV file using D3’s `d3.csv` method, reporting the dataset’s size in the browser. The page displays three lines of text: the number of columns, the number of rows, and the file size in kilobytes, computed via `d3.csvFormat` and `Math.round`. Data is fetched asynchronously from a GitHub Gist URL, and the results are rendered into a `<pre>` element using DOM manipulation. The minimal styling uses large CSS font sizes to emphasize the metadata.

AI-generated description

Loading & Parsing data

MIT Licensed

Similar vizzes

Loading thumbnail…

Loading & parsing CSV data

This example demonstrates how D3 loads and parses external CSV data by fetching a remote file and displaying a summary of its contents. The code uses `d3.csv()` to retrieve the dataset from a GitHub gist URL, then calculates and presents the file size in kilobytes, the number of rows, and the number of columns directly on the page. The resulting message is rendered inside an HTML `<pre>` element via the `textContent` property, with `d3.csvFormat()` used to measure the data’s string length for the size calculation. The example also defines an unused `fetchText` helper with the Fetch API.

Ccharles-duron

93% match

Loading thumbnail…

Loading and parsing CSV data

This example demonstrates how to load and parse a remote CSV file using D3.js, then displays a summary of the dataset in a large text format. It fetches the data from a GitHub gist URL via the `d3.csv` method, which returns a promise. Once resolved, the code calculates the number of rows, columns, and the approximate file size in kilobytes using `d3.csvFormat`. The results are rendered into an HTML `<pre>` element, showcasing basic data inspection and asynchronous loading patterns in D3 v6.

Ggatperdut

92% match

Loading thumbnail…

Loading and parsing CSV data

This example displays the result of loading a remote CSV file, showing its size in kilobytes, row count, and column count. It uses the D3.js v7 library's `d3.csv` method to fetch and parse the data from a GitHub Gist URL, then formats the summary using `d3.csvFormat`. The output is presented in a large `<pre>` element styled with CSS. An alternative commented-out approach demonstrates fetching text with `fetch` and parsing it via `d3.csvParse`.

SShubham Pathak

91% match

Loading thumbnail…

Loading Parsing CSV Data

This example demonstrates how to load and parse a CSV file, displaying file size, row count, and column count on a webpage. It uses d3.csv to fetch a remote dataset from a GitHub gist raw URL, then formats the results with d3.csvFormat to calculate kilobytes. The page also includes commented-out code showing an alternative approach using fetch, async/await, and d3.csvParse. A large pre element displays the final statistics as text.

RRaphael Fogha

91% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates the basic process of loading and parsing CSV data by displaying the file size, row count, and column count of a remote dataset. It fetches a CSV file from a GitHub Gist using the `fetch` API, then parses it with `d3.csv` and re-formats it with `d3.csvFormat` to compute the kilobyte size. The parsed data’s dimensions are displayed in large text within a `<pre>` element. The code also includes an alternative commented-out approach using `d3.csvParse` on raw text.

Sspace-captain96

91% match

Loading thumbnail…

Loading and parsing CSV data

This example demonstrates how to load and parse a remote CSV file using D3.js. It renders a summary of the parsed dataset as large text, showing the file size in kilobytes, the number of rows, and the number of columns. The code uses `d3.csv()` with a promise to fetch the CSS named colors dataset from a GitHub gist, then applies `d3.csvFormat()` to measure the data size and accesses `data.length` and `data.columns` for the row and column counts. The result is displayed in a `<pre>` element via `document.getElementById()`.

Ee-ines

91% match

Loading thumbnail…

loading and parsing csv data

This example demonstrates the process of loading and parsing a CSV file from a remote URL using D3.js version 5. It displays basic metadata about the fetched dataset: the file size in kilobytes, the number of rows, and the number of columns. The code uses `d3.csv()` to retrieve and parse the data, then `d3.csvFormat()` to calculate its length. The results are rendered as large text inside a `<pre>` element, with the source being a gist-hosted CSV containing CSS named colors.

Nnexus1058

91% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse a CSV file from a remote URL using D3.js, displaying key dataset statistics in a large text format. It uses `d3.csv` to fetch and parse the data, then computes the formatted file size with `d3.csvFormat`, as well as the row and column counts. The dataset comes from a GitHub gist containing CSS named color values, and the results are shown as three lines of text in a `<pre>` element.

LLaura Johnson

91% match