CSV Data

100%

✓ Published0🌍 Public

Last edited Jan 27, 2023

Created on Jan 27, 2023

Forked from CSV Data

This example demonstrates fetching and parsing a remote CSV file to display a summary of its contents, including the number of rows, columns, and file size in kilobytes. The React app uses the `fetch` API to retrieve the data, then leverages `d3.csvParse` to convert the raw text into a structured table, which is inspected to compute the statistics. The resulting message is rendered inside a `<pre>` element with a large font size, providing a minimal and direct visualization of the dataset's dimensions. The code relies on D3 v7, React 18, and the ReactDOM client.

AI-generated description

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

Similar vizzes

Loading thumbnail…

Fetch CSV DATA

This example demonstrates loading a remote CSV file with D3 and displaying basic dataset metrics—file size in kilobytes, row count, and column count—in large, styled text. The visualization relies on `d3.csv` from d3-fetch to parse the data, then uses `d3.csvFormat` to measure the formatted output length and accesses `data.length` and `data.columns` for row and column tallies. The result updates a `<pre>` element via React’s production build, though the core data fetching and parsing use D3 v4 and v7 APIs alongside native `fetch` in commented alternatives.

Mmartfhill

90% match

Loading thumbnail…

Loading and Parsing CSV

This example demonstrates how to load and parse a CSV file using D3 and React, displaying a summary of the data’s size and structure. It fetches a remote CSS color-names dataset via the `d3.csv` API, which parses the text into tabular data. The React app uses the `useState` and `useEffect` hooks to handle asynchronous loading, and renders a plain-text message showing the file’s size in kilobytes, the row count, and the column count. The visualization is minimal, using an HTML `<pre>` element to output the parsed information.

TTarul170720

89% match

Loading thumbnail…

CSV Data

This example displays a summary of a remote CSV file's contents: its approximate size in kilobytes, the number of data rows, and the number of columns. It fetches the data from a GitHub gist URL using the `d3.csv` API, then formats the loaded data with `d3.csvFormat` to calculate its length. The resulting statistics are rendered as large text inside an HTML `<pre>` element, which is updated via JavaScript's `textContent` property. The styling is applied through a CSS class that sets the font size.

SSam Hege

89% match

Loading thumbnail…

Parsing CSV Data

This example demonstrates how to fetch and parse CSV data from a remote URL, displaying the result as a text summary that reports the data size in kilobytes, the number of rows, and the number of columns. The visualization uses D3 v5’s `d3.csv` function to load and parse the data asynchronously, with the parsed result stored in a data object whose properties are accessed via `.length` and `.columns`. The interface is minimal, consisting of a single `<pre>` element that updates its content with the computed statistics. The code relies on D3’s `csv` and `csvFormat` APIs for parsing and formatting.

AAditya Khandelwal

89% match

Loading thumbnail…

CSV

This example displays a concise summary of a loaded CSV file, reporting the number of rows, columns, and file size in kilobytes. It fetches CSS color name data from a remote GitHub gist using the `d3.csv` function and renders the resulting statistics as large text in a React component. The application tracks loading state with React hooks (`useState`, `useEffect`) and uses `d3.csvFormat` to calculate the data’s byte size, presenting the output dynamically once the asynchronous request completes.

AAnmol Gupta

88% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates the process of fetching and parsing a CSV file, displaying summary statistics about the dataset as large text. It uses the `fetch` API to retrieve a remote CSV file containing CSS color names, then parses the text with `d3.csvParse` from D3 v7. The resulting message reports the file size in kilobytes, the number of data rows, and the number of columns, all rendered inside a `<pre>` element. The visualization focuses on confirming successful data loading and structure.

TTarul170720

88% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates loading a CSV file and displaying its basic metadata, including file size, row count, and column count, in a large text block. The program uses D3.js’s `d3.csv` function to fetch and parse the remote dataset, then accesses `data.length` and `data.columns.length` to extract the statistics. The result is rendered via a React-managed `pre` element, with the message composed using string concatenation and `Math.round` for the kilobyte calculation. The source is a CSS named colors CSV hosted on GitHub Gist.

곽곽옥석

88% match

Loading thumbnail…

Loading CSV Data

This example demonstrates loading a CSV file from a remote URL and displaying summary statistics about its contents. The React component uses the `useState` hook to manage the asynchronous data loading, calling `d3.csv` to fetch and parse the data. Once loaded, it computes and displays the file size in kilobytes, the number of rows, and the number of columns using `d3.csvFormat` and the parsed data’s properties. While the data is loading, the interface shows a simple “loading….” message in a large `<pre>` element.

Aaliciaadj

88% match