Loading and Parsing CSV Data

100%

Loading and Parsing CSV Data

✓ Published0🌍 Public

Last edited Jun 21, 2022

Created on Jun 20, 2022

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.

AI-generated description

A program tha loads and parses some CSV 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

94% 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

94% 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

93% 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

93% 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

93% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data with D3, displaying basic metadata about the dataset. After fetching the CSV file from a GitHub gist, it computes and presents the file size in kilobytes, the total number of rows, and the column count. The visualization uses D3's `d3.csv` method to asynchronously fetch and parse the data, followed by `d3.csvFormat` to measure the raw text length. The resulting statistics are rendered as large text in an HTML `<pre>` element, with alternative commented-out approaches using `fetch`, `async`/`await`, and `d3.csvParse`.

LLei Lei

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

93% 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 v6, displaying basic file statistics in large text. It uses `d3.csv` to fetch the data asynchronously, then reports the computed size in kilobytes, column count, and row count from the parsed result. The code also includes commented-out alternatives using the Fetch API with `d3.csvParse` to show equivalent parsing methods. The data originates from a GitHub gist containing basic color information, and the output is rendered into a styled `<pre>` element.

RRohinton Kazak

93% match