Loading and parsing CSV data

100%

Loading and parsing CSV data

✓ Published0🌍 Public

Last edited Mar 23, 2021

Created on Mar 23, 2021

This example demonstrates how to load and parse a CSV file using the Fetch API and D3’s `d3.csvParse` function. It fetches a remote CSV file containing CSS named colors, parses the text into an array of objects, and logs the number of columns found in the data. The code defines an asynchronous `fetchText` helper that retrieves the raw CSV string, then passes it to `d3.csvParse` for conversion. The example highlights the separation between fetching raw text and D3’s parsing utilities, using D3 v6 and native browser `fetch`.

AI-generated description

A program that loads and parses some csv data

MIT Licensed

Similar vizzes

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse a CSV file using the Fetch API and D3.js. It fetches a remote CSV containing CSS named colors, parses the text into an array of objects with `d3.csvParse`, and then displays summary statistics about the dataset. The output shows the raw text size in kilobytes, the number of rows, and the number of columns in a large `<pre>` element. The code uses an `async/await` fetch helper to avoid nested promise callbacks.

AAnthony Ynami

93% match

Loading thumbnail…

Loading Data with Fetch from scratch

This example demonstrates how to load and parse CSV data from a remote URL using the Fetch API combined with D3 v7. The code fetches a text file containing CSS named colors, then converts the raw text into a parsed data array using `d3.csvParse`. The visualization simply logs the number of parsed rows to the console, illustrating the data-loading pipeline without rendering any graphical output. It highlights the asynchronous flow of fetching data with `fetch()` and handling promises explicitly, contrasting with D3’s built-in `d3.csv` loader.

YYodae Lim

91% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data from a remote URL using the fetch API and D3.js. It displays the file size in kilobytes, the number of rows, and the number of columns parsed from the CSS named colors dataset. The code uses `fetchText` to retrieve the CSV as text, then `d3.csvParse` to convert it into a structured data object with accessible columns. The resulting summary appears in a large HTML `<pre>` element.

Pparsonsdjp

91% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v7 and the Fetch API. It reads a remote CSV file containing CSS named colors and displays the file size in kilobytes, the number of data rows, and the number of columns in a large preformatted text element. The code uses `d3.csv()` to fetch and parse the data asynchronously, then `d3.csvFormat()` to measure the string length, alongside `data.length` and `data.columns.length` for row and column counts.

BBrittany Harden

91% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to fetch and parse a CSV file from a remote URL using the Fetch API and D3 v7’s `d3.csvParse` method. It displays the parsed dataset’s total row count, file size in kilobytes, and column names in a large `<pre>` element. The data source is a GitHub Gist containing a list of CSS named colors. The code defines an asynchronous `fetchText` function to retrieve the raw text before parsing it into a JavaScript array of objects.

AAchilleasTyrnenopoulos

91% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse a CSV file in the browser using the Fetch API and D3 v7. It fetches a remote CSV containing CSS named colors, parses it with `d3.csvParse`, and displays the file size, row count, and column count as large text on the page. The visualization highlights the parsed data structure’s dimensions rather than plotting points.

Aalexanderjpark

90% match

Loading thumbnail…

Loading and parsing CSV Data

This example demonstrates how to fetch and display raw CSV data in the browser console using D3 v5 and the Fetch API. It retrieves a CSS named colors dataset from a GitHub gist URL, then converts the response to text. The code uses async/await syntax within a `fetchText` function, though the parsed data is not visualized. The page also displays a hello message using D3's `select` to set text content of a div.

Llawrenceong001

90% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v6 and the Fetch API. It retrieves a dataset of CSS named colors from a GitHub Gist, parses it with `d3.csvParse`, and displays a summary of the file size in kilobytes, the number of rows, and the number of columns. The code highlights alternative approaches, including `d3.csv` and async/await with `fetch`, while presenting the results in a large-text HTML element.

SSam

90% match