Loading and parsing CSV data

Loading and Parsing CSV Data

This example demonstrates how to load and parse remote CSV data, displaying basic dataset statistics as plain text. It fetches a raw CSV file from a GitHub gist using the Fetch API, then parses the text with `d3.csvParse` to produce an array of objects and column metadata. The visualization shows the file size in kilobytes, row count, and column count in a simple `<pre>` element. The code uses D3 v7’s parsing utilities alongside native JavaScript async functions, without any graphical rendering.

GGimmi45

Loading and Parsing CSV Data

This example demonstrates the basic process of loading and parsing CSV data by displaying the file size, row count, and column count of a remote dataset. It fetches a CSV file from a GitHub Gist using the `fetch` API, then parses it with `d3.csv` and re-formats it with `d3.csvFormat` to compute the kilobyte size. The parsed data’s dimensions are displayed in large text within a `<pre>` element. The code also includes an alternative commented-out approach using `d3.csvParse` on raw text.

Sspace-captain96

Loading and parsing CSV data

This example demonstrates how to load and parse a remote CSV file using D3.js, then displays a summary of the dataset in a large text format. It fetches the data from a GitHub gist URL via the `d3.csv` method, which returns a promise. Once resolved, the code calculates the number of rows, columns, and the approximate file size in kilobytes using `d3.csvFormat`. The results are rendered into an HTML `<pre>` element, showcasing basic data inspection and asynchronous loading patterns in D3 v6.

Ggatperdut

Loading and Parsing CSV data

This example demonstrates how to load and parse a CSV file from a remote URL using D3.js v6, displaying basic file statistics in large text. It uses `d3.csv` to fetch the data asynchronously, then reports the computed size in kilobytes, column count, and row count from the parsed result. The code also includes commented-out alternatives using the Fetch API with `d3.csvParse` to show equivalent parsing methods. The data originates from a GitHub gist containing basic color information, and the output is rendered into a styled `<pre>` element.

RRohinton Kazak

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data by fetching a remote file from GitHub Gist and displaying its basic characteristics—file size in kilobytes, row count, and column count—as large text in the browser. It uses d3.csv to asynchronously fetch and parse the data, then formats the result with d3.csvFormat to calculate size. Alternative approaches using fetch, async/await, and d3.csvParse are commented out for comparison. The code relies on D3 v7 and a minimal HTML structure with a pre element for output.

SSophia Cofone

Loading Parsing CSV Data

This example demonstrates how to load and parse a CSV file, displaying file size, row count, and column count on a webpage. It uses d3.csv to fetch a remote dataset from a GitHub gist raw URL, then formats the results with d3.csvFormat to calculate kilobytes. The page also includes commented-out code showing an alternative approach using fetch, async/await, and d3.csvParse. A large pre element displays the final statistics as text.

RRaphael Fogha

Loading and Parsing CSV Data

This example demonstrates the basic workflow of loading and parsing CSV data with D3, displaying the file size, row count, and column count as large text. It uses the `d3.csv` method to fetch a remote CSV file from a GitHub Gist and parse it into a tabular data structure, then formats the output with `d3.csvFormat`. The resulting statistics are written to a DOM element with `textContent`.

JJohn Huang

Loading and Parsing CSV data

This example demonstrates loading and parsing a CSV file from a remote URL, displaying the file size in kilobytes, the number of data rows, and the number of columns in a large text preformatted element. It uses D3 v7's `d3.csv` method to fetch and parse the data asynchronously, then calculates the formatted output length using `d3.csvFormat`. The data source is a GitHub gist containing mobile download statistics. The example also includes commented-out alternatives using `fetch`, `async`/`await`, and `d3.csvParse` for comparison.

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