Fork of Loading and Parsing CSV Data

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse a CSV file containing CSS named colors using D3.js v5 within a React framework. It displays a summary with the file size in kilobytes, the number of rows, and the number of columns. The code uses `d3.csv` to fetch and parse the data from a GitHub Gist, then formats the output with `d3.csvFormat` and renders it as large text in an HTML `<pre>` element. An alternative approach using `fetch`, `async`, and `await` with `d3.csvParse` is also provided but commented out.

Bbitifall

Fork of Loading and Parsing CSV Data

Bbitifall

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5 within a React framework. It displays the size, row count, and column count of the CSS Named Colors dataset in a large HTML `<pre>` element. The code uses `d3.csv` to fetch and parse the remote CSV file, then computes metrics with `d3.csvFormat` and the resulting array’s properties. An alternative approach using `fetch`, `async`/`await`, and `d3.csvParse` is provided as commented-out code.

GGino

Fork of Loading and Parsing CSV Data

GGino

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data in a React-friendly environment using D3 v5. It fetches a remote dataset of CSS named colors via `d3.csv` and displays summary statistics—file size in kilobytes, row count, and column count—in a large HTML `<pre>` element. The code also includes commented alternatives using `fetch` with async/await and `d3.csvParse` for comparison. The visualization is text-based, showing raw data metrics rather than graphical rendering, and highlights both direct CSV parsing and manual text fetching approaches.

LLai Yi Ohlsen

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 in a React framework. It displays a summary of the CSS Named Colors dataset, showing the file size in kilobytes, row count, and column count. The code uses the `d3.csv` method to fetch and parse the data asynchronously, then formats the results with `d3.csvFormat`. It also includes commented-out alternatives using the Fetch API with `async`/`await` and `d3.csvParse`. The visualization is text-based, updating a HTML `<pre>` element with the computed statistics.

NNikithakatta30

Fork of Loading and Parsing CSV Data

This example demonstrates the process of loading and parsing CSV data using D3 v5 within a React framework. It fetches a CSS Named Colors dataset from a GitHub gist and displays basic statistics about the file, including its size in kilobytes, row count, and column count. The code uses the `d3.csv` method to asynchronously load and parse the data, then calculates metrics using `d3.csvFormat` and the data’s built-in `length` and `columns` properties. The results are rendered as text in a large `<pre>` element.

KKaiXuan Chin