Skip to main content
SimilarExport ZIP
100%

Loading and Parsing CSV data

✓ Published0🌍 Public
EEugenio2192
Last edited Jul 1, 2021
Created on Jun 29, 2021
Forked from HTML Starter

This example demonstrates the loading and parsing of CSV data by fetching a file from a GitHub gist and displaying summary statistics—file size in kilobytes, row count, and column count—in large text within an HTML `<pre>` element. It uses the Fetch API with async/await to retrieve the raw text, then parses it with `d3.csvParse` from D3 v7. The resulting data structure’s length and `columns` array are accessed to report the metrics, showcasing a minimal workflow for handling tabular data in a browser.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

  const promise = fetch(url);
  promise.then(response => {
    response.text().then(text => {
    	      	console.log(text);
    });
  });
MIT Licensed

Similar vizzes

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse a CSV file using D3 v7’s `d3.csv` method, then displays basic summary statistics about the dataset in a large `<pre>` element. The code fetches a remote CSV from a GitHub gist and reports its size in kilobytes, row count, and column count. It also includes commented‑out alternatives using the Fetch API and `d3.csvParse` for manual text handling. The page is a minimal HTML document with no other visual elements, focusing purely on the data‑loading and parsing workflow.

Gguptambergatech
92% match
Loading thumbnail…

Loading & Parsing CSV Data

This example demonstrates the process of loading and parsing CSV data by displaying key statistics about the dataset: its size in kilobytes, the number of rows, and the number of columns. It uses D3 v5’s `d3.csv` method to fetch and parse the data from a GitHub Gist URL, then formats the statistics into a readable message using `d3.csvFormat`. The result is rendered as large text inside a `<pre>` element styled with CSS. The code also includes an alternative commented-out approach using `fetchText` and `d3.csvParse`.

AAnthony Zornig
92% match
Loading thumbnail…

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
91% match
Loading thumbnail…

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
91% match
Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5 and the Fetch API, displaying file size, row count, and column count in a large text element. It fetches a CSV file of HTML color names from a GitHub gist, then parses the text with `d3.csvParse` to extract the data structure. The visualization is minimal—just a `pre` element showing summary statistics—but the code also includes commented alternatives using `d3.csv` and a "pyramid of doom" fetch pattern for comparison. It highlights modern async/await syntax for data loading in a React context.

MMaz Hermon
91% match
Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates loading and parsing CSV data from a remote URL, displaying a summary of the dataset's size in kilobytes, row count, and column count. It uses the D3.js v7 library, specifically the `d3.csv` method for fetching and parsing the data, along with `d3.csvFormat` to calculate the formatted size. The parsed data comes from a GitHub Gist containing tabular data. The results are rendered as large text within an HTML `<pre>` element, with the page’s styling controlled through CSS.

AAbi360
91% match
Loading thumbnail…

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.

Ddleoenri
91% match
Loading thumbnail…

Load and Parse Csv File

This example demonstrates loading and parsing a CSV file with D3, displaying the dataset’s size in kilobytes, row count, and column count as plain text. It fetches a remote CSV from a GitHub gist using `d3.csv`, which parses the file into an array of objects. The formatted data is measured with `d3.csvFormat`, and the computed metrics are injected into an HTML `<pre>` element via `textContent`. The page uses D3 v5 with a minimal, unstyled body layout.

Ttenghaoman
91% match