Load data

100%

✓ Published0🌍 Public

Last edited Apr 4, 2021

Created on Apr 2, 2021

This example demonstrates how to load and summarize a remote CSV file. It displays the file size in kilobytes, the number of columns, and the number of rows in large text. The page uses the `d3.csv` function to fetch and parse the named CSS colors dataset from a GitHub gist, then `d3.csvFormat` to compute its size. The asynchronous `fetch` API retrieves the raw text before D3 processes it.

AI-generated description

lOAD DATA

MIT Licensed

Similar vizzes

Loading thumbnail…

Loading and parsing CSV data

This example demonstrates how to load and parse CSV data using D3 v7. It displays the dataset size in kilobytes, column count, and row count as plain text on the page. The code uses `d3.csv` to fetch and parse a remote CSV file containing CSS named colors from a GitHub gist, then formats a summary message with `d3.csvFormat` to calculate the size. An alternative commented-out approach using the Fetch API with `d3.csvParse` is also shown.

Cchrismeeky

91% match

Loading thumbnail…

Loading and parsing CSV

This example demonstrates how to load and parse a CSV file from a remote URL using D3 v7. The visualization displays a text summary showing the file size in kilobytes, the number of data rows, and the number of columns after parsing. It uses `d3.csv()` to fetch and parse the CSS named colors dataset from a GitHub gist, then `d3.csvFormat` to measure the data. A commented-out alternative shows the equivalent approach using `fetch` and `d3.csvParse`.

AAlex Stulov

91% match

Loading thumbnail…

Loading and parsing csv data

This example demonstrates how to load and parse CSV data using D3.js, displaying a summary of the dataset in a large preformatted text element. The visualization shows the number of rows, columns, and file size in kilobytes for a dataset of CSS named colors fetched from a GitHub gist. The code uses the `d3.csv` method to asynchronously fetch and parse the remote CSV file, then counts rows via `data.length`, columns via `data.columns.length`, and computes the approximate file size with `d3.csvFormat` and `Math.round`. Alternative fetching with `fetch` and `d3.csvParse` appears in a commented section.

Bbjfmbeck

91% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and summarize a CSV file using D3 v7. It fetches a remote dataset containing CSS named colors from a GitHub gist, then displays the file size, row count, and column count in a large text element. The code uses the Fetch API to retrieve the raw text and D3’s `d3.csv` to parse it into an array of objects, with `d3.csvFormat` measuring the parsed data’s size. The page dynamically renders these statistics into an HTML `<pre>` container.

MMamveguh

91% match

Loading thumbnail…

Loading data

This example demonstrates how to load and summarize a CSV dataset using D3.js. It fetches a file of CSS named colors from a GitHub Gist, then displays the number of rows, the approximate file size in kilobytes, and the column count as plain text in the browser. The code uses `d3.csv` to parse the remote data and `d3.csvFormat` to calculate its string length. The result is a minimal, text-based confirmation that the data has been successfully retrieved and parsed.

SSaralanelson

91% match

Loading thumbnail…

Loading and parsing csv data

This example demonstrates how to load and parse CSV data from a remote URL, displaying the file size and column count. It first fetches the text data asynchronously, then uses `d3.csvParse` to convert it into an array of objects. The code reads a CSS named colors dataset from a GitHub gist, checks its size in kilobytes, and counts the parsed columns before updating the page’s message container. The example relies on the Fetch API and D3.js v7 for parsing and text manipulation.

AAnkit-Ian-53787

91% 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

90% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse a remote CSV file using D3 v7. It fetches CSS named colors data from a GitHub gist and displays summary statistics, including the file size in kilobytes, the number of rows, and the number of columns, in a large preformatted text block. The code uses `d3.csv` to retrieve and parse the data asynchronously, then accesses the resulting array and its `.columns` property. It also includes commented-out alternatives using the Fetch API with `d3.csvParse` and async/await.

JJun Suzuki

90% match