Fork of Loading and Parsing CSV Data

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing CSV data from a remote source, displaying the dataset’s size in kilobytes, row count, and column count. It uses the d3.csv function to fetch and parse the CSS Named Colors dataset from a GitHub Gist, then formats the summary using d3.csvFormat. An alternative commented-out approach uses the fetch API with async/await and d3.csvParse. The visual output is plain text rendered inside a large HTML `<pre>` element.

YYodae Lim

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data from a remote URL, displaying the dataset’s size in kilobytes, row count, and column count. Using D3 v5’s `d3.csv` method, it fetches the CSS Named Colors dataset from a GitHub gist, then formats the parsed rows with `d3.csvFormat` to calculate the file size. The result is rendered as text inside an HTML `<pre>` element. Alternate implementations using `fetch` with `async`/`await` and `d3.csvParse` are commented out for comparison.

CCesar R Castillo

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data from a remote URL. It displays a message showing the data’s size in kilobytes, the number of rows, and the number of columns from the CSS Named Colors dataset. The code uses D3 v7’s `d3.csv` and `d3.csvFormat` to fetch and measure the data, then updates a `<pre>` element with the summary. A commented alternative shows the equivalent approach using the Fetch API and `d3.csvParse`.

GGregS1290

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using the D3.js library, displaying a summary of the parsed content. It fetches a CSV file containing CSS named colors from a GitHub Gist and uses `d3.csv` to parse the remote data asynchronously. The program then calculates and displays the file size in kilobytes, the number of data rows, and the column count in a large `<pre>` element. The visualization is minimal, focusing on the data-loading process rather than graphical representation, using D3 v5 within a React framework.

GGordon Yang

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing CSV data using D3 v5, displaying summary statistics about the dataset in a large HTML `<pre>` element. The visualization 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 `d3.csv` to fetch and parse the remote CSV URL, then `d3.csvFormat` to calculate the data’s size. The resulting text output updates the page via the Document Object Model’s `textContent` property.

LLawrence Liu

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data from a remote URL, displaying the file size, row count, and column count of the CSS Named Colors dataset. The code uses D3 v5’s `d3.csv` method to fetch and parse the data asynchronously, then formats the summary using `d3.csvFormat` and `data.columns`. A commented-out alternative shows parsing via the Fetch API with `async`/`await` and `d3.csvParse`. The results are rendered as large text inside an HTML `<pre>` element.

GGordon Yang

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing CSV data from a remote URL, displaying the file size, row count, and column count in large text. It uses D3 v5’s `d3.csv` method to fetch and parse the CSS Named Colors dataset, then computes metrics from the parsed array and its `.columns` property. The code also includes commented-out alternatives using `fetch` with `async/await` and `d3.csvParse`, highlighting different approaches to asynchronous data loading. The rendered output is a simple HTML `<pre>` element updated via the DOM.

CChestnut Sea

Fork of Loading and Parsing CSV Data

CChestnut Sea