Fork of Fork of Loading and Parsing CSV Data

100%

Fork of Fork of Loading and Parsing CSV Data

✓ Published0🌍 Public

Last edited Mar 7, 2024

Created on Mar 7, 2024

Forked from Fork of Loading and Parsing CSV Data

This example displays a parsed CSV file's details—file size, row count, and column count—alongside a static SVG line chart of dark gray curves on a maroon background. The React application fetches the CSV using the `fetch` API, parses the text by splitting on newlines and commas, and presents the metadata in styled HTML. The SVG visualization is embedded as an image, while the page's layout and typography are defined in a separate CSS file.

AI-generated description

A program that loads and parses some CSV data: CSS Named Colors.

Similar vizzes

Loading thumbnail…

Fork of Fork of Fork of Fork of Fork of Loading and Parsing CSV Data

This visualization displays details about a CSV file containing recommended movies, including file size, row count, and column count, alongside a static SVG graphic. Using vanilla JavaScript, it fetches the CSV data with the Fetch API and async/await, parses the text into rows and columns, and injects the computed statistics into the DOM. The SVG is embedded as an image, while styling is handled by an external CSS file.

TTarun Kumar Bosupally

87% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data in a React application using D3. It displays the parsed dataset’s summary statistics, including its size in kilobytes, row count, and column count. The code uses React’s `useState` and `useEffect` hooks alongside D3’s `csv` function to fetch data from a remote GitHub gist containing CSS named colors. The resulting message is rendered as large text, providing a clear, minimal visualization of the data’s structure.

Rredeath96

85% match

Loading thumbnail…

Fork of HTML Starter

This example demonstrates the loading and parsing of a CSV data file, displaying its file size, row count, and column count on a web page. It also embeds two static SVG images for visual context. The implementation uses the Fetch API to retrieve the remote CSV, then processes the response as a Blob and text to extract dimensions. The page styling relies on plain CSS, while the dynamic content is inserted into the DOM via `document.getElementById` and `innerText`. No external visualization libraries are used; the focus is on basic data inspection and layout.

Ssaisathyapriya097@gmail.com

85% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example displays a summary of a CSV file containing CSS named colors, parsing the data with d3.csv and presenting the file size, row count, and column count in a large-text HTML preformatted block. The visualization uses D3 v5’s CSV parsing and formatting functions, fetching data from a remote gist URL. Although built within a React framework, the interface is purely a React-inspired text layout, not interactive charts. The code also includes commented-out alternatives using fetch() and async/await, showing different loading approaches.

Rrayhanasyraff

84% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data using D3 v5 and React. It fetches a dataset of CSS Named Colors from a GitHub gist and displays the file size, row count, and column count in a large text block. The primary implementation uses `d3.csv` with a promise, while commented alternatives show equivalent approaches using `fetch` with `async`/`await` and `d3.csvParse`, highlighting different asynchronous patterns. The interface presents the parsed data summary without any visual chart.

JJONATHAN SIMON

84% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data in a React application using D3 v5. It displays the dataset’s file size, row count, and column count in a large text block. The code uses `d3.csv` to fetch and parse the CSV from a GitHub gist containing CSS named colors, then formats the results with `d3.csvFormat` and `data.columns`. An alternative commented approach shows `fetch` with `async`/`await` and `d3.csvParse`, highlighting modern JavaScript patterns for data loading.

Rrammy81

84% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example displays the size and structure of a CSS Named Colors CSV dataset by rendering a multi-line message with the file size, row count, and column count. The visualization uses D3 v5’s `d3.csv` to load and parse the remote CSV file, then formats the result with `d3.csvFormat` to compute the kilobyte size. The code also contains commented-out alternatives using `fetch`, `async`/`await`, and `d3.csvParse`, showing different methods for handling asynchronous data loading within a React framework.

JJanna Uutela

84% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing a CSV file containing CSS Named Colors, displaying summary statistics including file size, row count, and column count in a large text container. The code uses d3.csv to fetch and parse the remote CSV data from a GitHub gist, then computes the formatted output length with d3.csvFormat. An alternative commented approach shows fetching the text with the Fetch API, async/await syntax, and parsing it via d3.csvParse, illustrating both modern JavaScript patterns for handling asynchronous data loading in a React-based visualization workflow.

Vvarmps

84% match