Data Visualization

100%

Data Visualization

✓ Published0🌍 Public

Last edited Mar 4, 2023

Created on Mar 4, 2023

This example displays a CSV dataset’s metadata summary, including file size in kilobytes, row count, and column count, presented in a styled header and preformatted text block. It loads D3 v7 via CDN and uses `d3.csv` to fetch remote data from a GitHub gist, then formats the output with `d3.csvFormat` and `Math.round`. The page also embeds an external SVG image of a house, with layout controlled through custom CSS classes. The visualization demonstrates basic data loading, parsing, and textual output without any graphical charting.

AI-generated description

An example showing the capabilities of VizHub:

Loads D3 via UNPKG.
Demonstrates use of import from "d3".
Demonstrates use of import from local ES6 modules.

MIT Licensed

Similar vizzes

Loading thumbnail…

Data Visualization

This example displays a data summary message generated from a CSV file loaded via d3.csv. The code calculates the file size in kilobytes, row count, and column count, then renders these statistics in a large, styled pre element. The page also includes a heading, a greeting, and an embedded image reference from VizHub. The visualization uses D3 v7 and React, with the CSV data sourced from a GitHub gist.

Hharika-1929

84% match

Loading thumbnail…

Untitled

This example demonstrates loading and parsing a CSV file using D3.js, displaying the file size in kilobytes, row count, and column count in a styled HTML page. The visualization includes a decorative cityscape SVG illustration. The code uses `d3.csv` to fetch data from a GitHub gist and `d3.csvFormat` to calculate the data size. The page is built with HTML and CSS, featuring a highlighted heading and a large message container for the parsed data summary.

DDivyaVellanki

83% match

Loading thumbnail…

Data D3 Loader

This example demonstrates progressive loading of a remote CSV dataset by displaying its metadata. It shows the file size in kilobytes, row count, and column count derived from a CSS color palette dataset hosted as a GitHub gist. The visualization uses React hooks (`useState`, `useEffect`) to fetch and asynchronously load the data with D3’s `csv` method, then formats and displays the computed statistics in a styled `<pre>` element. The rendering is purely SVG-free text output, with D3’s `csvFormat` used to calculate string length for the size measurement.

Rrayking99

83% match

Loading thumbnail…

Data Visualization

This example displays a simple dashboard that presents a hello message from the author and summarizes a dataset loaded from a GitHub gist. The text announces the file’s approximate size in kilobytes, the number of rows, and the column count. The visualization uses D3.js version 7, specifically the `d3.csv` and `d3.csvFormat` APIs, to fetch and parse the CSV data and then inject the computed summary into an HTML `<pre>` element. The page also embeds an external SVG image and relies on basic CSS for styling.

Hharika-1929

83% match

Loading thumbnail…

Loading and Parsing CSV Data with D3

This example demonstrates loading a remote CSV file and displaying basic dataset statistics. It fetches CSS named colors from a GitHub gist and shows the file size in kilobytes, the total number of rows, and the column count. The visualization uses D3 v7’s `d3.csv` method to parse the data asynchronously, then `d3.csvFormat` to calculate the raw text length, with results rendered to a `<pre>` element. The code also includes commented alternatives using `fetch` and `d3.csvParse`.

83% match

Loading thumbnail…

Untitled

This example displays basic dataset summaries for a CSV file loaded from a GitHub gist, showing file size in kilobytes, row count, and column count in a pre-formatted text container. The page also includes a static SVG diagram and a heading. The code uses D3 v7’s `d3.csv` to fetch and parse the remote data, then applies `d3.csvFormat` to calculate the formatted file size. Results are written to the DOM via `document.getElementById`, and the HTML page links to an external stylesheet named `newstyle.css`.

SSnigdha6698

83% match

Loading thumbnail…

Loading and Parsing CSV Data

This example demonstrates how to load and parse CSV data with D3, displaying basic metadata about the dataset. After fetching the CSV file from a GitHub gist, it computes and presents the file size in kilobytes, the total number of rows, and the column count. The visualization uses D3's `d3.csv` method to asynchronously fetch and parse the data, followed by `d3.csvFormat` to measure the raw text length. The resulting statistics are rendered as large text in an HTML `<pre>` element, with alternative commented-out approaches using `fetch`, `async`/`await`, and `d3.csvParse`.

LLei Lei

83% match

Loading thumbnail…

Loading and parsing CSV data

This example demonstrates loading a CSV file from a remote URL and displaying basic statistics about the dataset, including its size in kilobytes, row count, and column count. The visualization uses D3.js v7, specifically the `d3.csv` function to asynchronously fetch and parse the data from a GitHub gist containing CSS named colors. The parsed data is then processed with `d3.csvFormat` to calculate the file size, while the row and column counts are retrieved from the data object's properties. The results are presented as plain text in a large `<pre>` element on the page.

RRoberto M

83% match