CSV Fetch and Parse

100%

CSV Fetch and Parse

✓ Published1🌍 Public

Last edited Feb 28, 2021

Created on Feb 28, 2021

This example demonstrates a minimal workflow for fetching and parsing remote CSV data with D3. It shows the resulting dataset’s size in kilobytes, row count, and column count in large text on the page. The code uses `d3.csv` to load a CSV file from a GitHub gist and `d3.csvFormat` to measure its string length, while also logging the parsed array to the console. A commented-out alternative shows manual fetching via the Fetch API and parsing with `d3.csvParse`.

AI-generated description

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

Similar vizzes

Loading thumbnail…

Parsing CSV Data with D3

This visualization demonstrates how to parse CSV data using D3.js by fetching a remote file and displaying summary statistics. The page shows the dataset’s row count, column count, and file size in kilobytes within a large text element. It uses D3’s `d3.csv()` function to load and parse the CSV from a GitHub gist, then formats the data with `d3.csvFormat()` to calculate its size. The example also includes commented-out code using `fetch()`, `async`/`await`, and `d3.csvParse()` as an alternative parsing approach.

TTetiana Humeniuk

90% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data by fetching a remote file from GitHub Gist and displaying its basic characteristics—file size in kilobytes, row count, and column count—as large text in the browser. It uses d3.csv to asynchronously fetch and parse the data, then formats the result with d3.csvFormat to calculate size. Alternative approaches using fetch, async/await, and d3.csvParse are commented out for comparison. The code relies on D3 v7 and a minimal HTML structure with a pre element for output.

SSophia Cofone

89% match

Loading thumbnail…

Loading and parsing CSV data

This example demonstrates loading a remote CSV file and parsing it with D3.js, displaying basic dataset statistics as large text. It uses `d3.csv` to fetch and parse the data from a GitHub Gist, then reports the approximate size of the formatted output in kilobytes, the number of rows, and the number of columns. The page also includes commented-out code showing an alternative approach using the `fetch` API with `async`/`await` and `d3.csvParse` for manual text parsing, but the active path relies on D3's built-in CSV handling.

Aadante111

89% match

Loading thumbnail…

Loading and parsing CSV

This example demonstrates the basic process of loading and parsing a CSV file with D3, displaying the file size, row count, and column count of the dataset. It fetches a CSV of CSS color names from a GitHub gist using `d3.csv`, then formats the response with `d3.csvFormat` to calculate its size in kilobytes. The code also includes commented alternatives using the Fetch API with async/await and `d3.csvParse` for manual text parsing.

DDavid Beales

89% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse remote CSV data, displaying basic dataset statistics as plain text. It fetches a raw CSV file from a GitHub gist using the Fetch API, then parses the text with `d3.csvParse` to produce an array of objects and column metadata. The visualization shows the file size in kilobytes, row count, and column count in a simple `<pre>` element. The code uses D3 v7’s parsing utilities alongside native JavaScript async functions, without any graphical rendering.

GGimmi45

89% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5 and the Fetch API, displaying file size, row count, and column count in a large text element. It fetches a CSV file of HTML color names from a GitHub gist, then parses the text with `d3.csvParse` to extract the data structure. The visualization is minimal—just a `pre` element showing summary statistics—but the code also includes commented alternatives using `d3.csv` and a "pyramid of doom" fetch pattern for comparison. It highlights modern async/await syntax for data loading in a React context.

MMaz Hermon

89% 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

89% match

Loading thumbnail…

Loading and Parsing CSV data

This example demonstrates loading and parsing a CSV file from a remote URL, displaying the file size in kilobytes, the number of data rows, and the number of columns in a large text preformatted element. It uses D3 v7's `d3.csv` method to fetch and parse the data asynchronously, then calculates the formatted output length using `d3.csvFormat`. The data source is a GitHub gist containing mobile download statistics. The example also includes commented-out alternatives using `fetch`, `async`/`await`, and `d3.csvParse` for comparison.

Ddleoenri

89% match