Fork of Loading and Parsing CSV Data

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5’s `d3.csv` method, fetching a dataset of CSS named colors from a GitHub gist. The code calculates and displays the file size in kilobytes, the number of rows, and the number of columns in a large HTML `<pre>` element. It also includes commented-out alternatives using `fetch`, `async`/`await`, and `d3.csvParse` to show different parsing approaches. The visualization is purely textual, with no graphical rendering, focusing on data-loading mechanics.

UUlbert Alain Odle

Fork of Loading and Parsing CSV Data

This example demonstrates the basic mechanics of loading and parsing CSV data in D3. It fetches a dataset of CSS named colors from a GitHub gist and displays three summary statistics: file size in kilobytes, row count, and column count. The primary implementation uses D3 v5’s `d3.csv` method, which returns a promise, while commented alternatives show equivalent code using the Fetch API with `async`/`await` and `d3.csvParse`. The output is rendered as plain text inside a large `<pre>` element.

CCheng Tang

Fork of Loading and Parsing CSV Data

CCheng Tang

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data, displaying the file’s size in kilobytes, row count, and column count as large text. It uses D3 v5’s `d3.csv` and `d3.csvFormat` to fetch and process the data, with commented alternatives showing `fetch`, `async/await`, and `d3.csvParse`. The data comes from a GitHub gist of CSS named colors, and the results update a single `<pre>` element without any visual chart.

TThfc1991

Ddanielscheeper@gmail.com

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3’s `d3.csv` method, fetching a dataset of CSS named colors from a GitHub gist. It displays the file size in kilobytes, the row count, and the column count in a large `<pre>` element. The code relies on the Fetch API and async functions to retrieve the text, while D3 handles parsing and formatting the data, with all results rendered directly into the DOM.

Sseanmdalrymple@protonmail.com

Fork of Loading and Parsing CSV Data

This example demonstrates the basics of loading and parsing CSV data, displaying the file size, row count, and column count of a dataset of CSS named colors. It uses D3 v5’s `d3.csv()` method, which returns a promise, to fetch the data from a GitHub gist. The code then formats the statistics using `d3.csvFormat()` and `data.columns`, injecting the results into an HTML `<pre>` element. Commented-out alternatives illustrate the same process using `fetch()` with async/await and `d3.csvParse()`.

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing a CSV file containing CSS named colors, displaying the data’s size, row count, and column count in a large text block. It uses D3 v5’s `d3.csv` method to asynchronously fetch the remote dataset, then `d3.csvFormat` and `data.columns` to compute metrics. The code also includes commented alternatives using the Fetch API with `async`/`await` and `d3.csvParse`, illustrating different parsing strategies. The rendering is plain HTML text within a `<pre>` element, with no graphical visualization.

GGeorge Williams

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