ICE - 5 — VizHub

100%

ICE - 5

✓ Published0🌍 Public

Last edited Mar 9, 2023

Created on Mar 7, 2023

This example displays a dataset summary for Netflix shows, presenting key statistics such as file size, row count, and column count in a text overlay. The visualization loads a CSV file from a GitHub gist using `d3.csv` and computes the metrics with `d3.csvFormat` and array length properties. The page uses D3 v7 within a React framework, styled with an SVG background image and custom CSS layout. The dataset link is provided for further exploration.

AI-generated description

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

Similar vizzes

Loading thumbnail…

ICE-5

This example displays summary statistics about a film dataset loaded from a GitHub-hosted CSV file, showing the data’s size in kilobytes, row count, and column count. The page uses D3.js v7 to fetch and parse the CSV with `d3.csv`, formats the results via `d3.csvFormat`, and updates the text content of an HTML `<pre>` element. A static SVG background image is embedded as a data URI, while CSS styles apply layout and heading colors. The visualization focuses purely on textual data metrics rather than graphical charts.

BBhanuMotupalli

87% match

Loading thumbnail…

ICE5

This example displays metadata for a movie dataset, showing file size, row count, and column count in a text message. The page loads a CSV file from a GitHub gist using D3 v7’s `d3.csv` method, then computes and formats the statistics with `d3.csvFormat`. A CSS background image of movie-themed visuals is applied via `movies.css`, and the dataset link is provided for reference. The visualization is minimal, focusing on data overview rather than graphical representation.

AAISWARYAMARAPATLA1999

87% match

Loading thumbnail…

ICE Assignment 5

This visualization displays summary statistics about a film dataset, reporting the data size in kilobytes, number of rows, and column count in a large text block. The page is built with a React framework and uses D3 v7 to load the CSV data from a GitHub gist and format the message. The SVG elements present decorative shapes, but the core functionality uses `d3.csv` to fetch and parse the data, then updates the HTML content dynamically.

RRaja Srinivas Nelluri

86% match

Loading thumbnail…

Netflix d3 vis for ICE-5

This example displays metadata about a Netflix dataset, including file size, row count, and column count, fetched from a CSV file hosted on GitHub. The page uses D3 v7’s `d3.csvParse` to parse the fetched text and updates the DOM with statistics. It also demonstrates basic D3 integration with HTML and JavaScript, using the Fetch API to retrieve the data and plain DOM manipulation to display the results, without any visual charts or graphs.

DDan Waters

86% match

Loading thumbnail…

ICE-5

This example, titled ICE-5, demonstrates a basic web page for loading and parsing CSV data using D3.js. The page displays a summary of the parsed Netflix credits dataset, showing the data size in kilobytes, the number of rows, and the number of columns. The visualization is a simple text-based report presented in a `<pre>` element, with a static image of an SVG included for visual interest. The code uses the D3.js `d3.csv` API to fetch and parse the remote CSV file, and `d3.csvFormat` to calculate its size, while styling is handled with custom CSS.

DDeegutla123

86% match

Loading thumbnail…

ICE-5

This visualization displays the contents of a CSV dataset using D3’s `d3.csv` and `d3.csvFormat` methods to summarize its size, row count, and column count. The example renders the result in a styled HTML `<pre>` element with React-compatible ES6 syntax. It also embeds an SVG image, using D3 v7 within a React framework to provide a gallery-based data overview.

SSheela2930

85% match

Loading thumbnail…

ICE 5

This example displays a text-based summary of a CSV dataset, showing the file size in kilobytes, row count, and column count. It loads data from a GitHub-hosted CSV file using `d3.csv`, then computes the formatted output size with `d3.csvFormat` and reads `data.length` and `data.columns.length` to report the statistics. The page uses a custom background image from a GitHub gist, styled with CSS, and outputs the results into a `<pre>` element via `document.getElementById`. The code also links to the original Kaggle company sales dataset.

Nnavyasrimeka9@gmail.com

85% match

Loading thumbnail…

ICE5

This example displays metadata from a store dataset, including row count, column count, and file size, presented as text on a styled HTML page with a background image. It fetches a CSV file from a GitHub Gist using D3’s `d3.csv` function, then formats the data with `d3.csvFormat` and calculates its size in kilobytes. The visualization is rendered with plain HTML elements, including headings and a `<pre>` block, styled by a linked CSS file, and uses React only as a framework reference. The page relies on D3 v7 and JavaScript for data retrieval and message assembly.

SSravaniPosina

85% match