Loading and Parsing CSV Data

Loading and Parsing CSV Data

This example demonstrates the basic workflow of loading and parsing CSV data with D3. It fetches a CSV file containing CSS named colors from a GitHub gist and displays summary statistics—file size in kilobytes, row count, and column count—in a large text element. The code uses `d3.csv` and the Promise-based `.then()` method to handle asynchronous loading. An alternative commented-out section shows the same process using the Fetch API with `async`/`await` and `d3.csvParse`. The final output presents three lines of calculated metrics derived from the parsed dataset.

CChinedu Ozodi

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5, displaying summary statistics about the dataset. A large text area shows the file size in kilobytes, the number of rows, and the number of columns from a CSV file containing CSS named colors. The code uses the `d3.csv` function with a Promise-based `.then()` method, and also includes commented-out alternatives using the Fetch API with `async` and `await`, as well as the `d3.csvParse` function for manual text parsing.

JJanet Li

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5 and the Fetch API. It displays the file size, row count, and column count of a CSS Named Colors dataset from a GitHub gist. The code uses `d3.csv` with a Promise to fetch and parse the data, then formats a summary message with `d3.csvFormat`. An alternative commented-out approach uses `fetch`, `async/await`, and `d3.csvParse`. The result appears as large text in a `<pre>` element.

Llaurence beattie

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5. It fetches a dataset of CSS Named Colors from a GitHub gist and displays key statistics: the file size in kilobytes, the number of rows, and the number of columns. The code primarily uses `d3.csv()` with a Promise-based `.then()` callback, though commented-out alternatives show fetching text with `fetch()` and `async/await`, plus `d3.csvParse()` for manual parsing. The output renders as plain text inside a `<pre>` element.

Hhung2606

Loading and Parsing CSV Data

This example demonstrates how to load and parse a CSV file containing CSS named colors using D3 v5. It displays a summary of the dataset, showing the file size in kilobytes, the number of rows, and the number of columns in a large text element. The code uses the `d3.csv` method with a Promise to fetch and parse the remote data, then counts the formatted output via `d3.csvFormat`. The data source is a GitHub Gist containing color names and their hexadecimal values.

PPirialMersus

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5. It fetches a CSV file containing CSS named colors from a GitHub gist and displays the file size, row count, and column count in large text. The primary approach uses `d3.csv`, which returns a promise that resolves to parsed data, while commented alternatives show `fetch` with `async`/`await`, `d3.csvParse`, and a callback-based "pyramid of doom" pattern. The visualization itself is minimal, focusing on the data-loading workflow rather than graphical output.

MMauricio García Benítez

Loading and Parsing CSV Data

This visualization demonstrates how to load and parse CSV data using D3.js version 5, fetching a dataset of CSS named colors from a GitHub gist. The example displays three key metrics—the file size in kilobytes, the number of data rows, and the number of columns—in large, bold text. It showcases two alternative approaches: using the `d3.csv` method with a promise chain, and a commented-out version using the native `fetch` API with `async`/`await` and `d3.csvParse`. Both methods retrieve the CSV, parse it into a structured data object, and report the dataset's dimensions.

DDon-eime

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5, displaying summary statistics about the CSS Named Colors dataset. The page shows file size in kilobytes, row count, and column count in large text. The primary implementation uses `d3.csv` with a promise callback, while commented-out alternatives illustrate `fetch` with async/await and `d3.csvParse`, as well as a nested promise pattern, to compare different data-loading approaches.

Ssyedshowmic