ICE-5

100%

✓ Published0🌍 Public

Last edited Mar 3, 2023

Created on Mar 3, 2023

This visualization displays metadata about a water treatment plant valve dataset, showing file size, row count, and column count via D3’s `d3.csv` and `d3.csvFormat` APIs. The page presents the information in a large, white preformatted text block over an animated gradient background and a landscape SVG image. It includes a clickable link to the raw CSV data hosted in a GitHub gist, styled with custom CSS for typography and layout.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

ICE5

This visualization displays metadata about a professionals dataset, reporting the file size, number of rows, and column count in a simple text summary. The page loads a CSV file using D3 v7’s `d3.csv`, then calculates the formatted data length with `d3.csvFormat` and presents the statistics in a preformatted message container. A background SVG image is applied via CSS, and the dataset is linked through an HTML anchor for further exploration.

SSuresh John Wesly

83% match

Loading thumbnail…

ICE5

This page shows metadata about an electronics sales dataset, summarizing its size, row count, and column count in a text overlay. The visualization loads a CSV file from a GitHub gist using D3 v7’s `d3.csv` method, then computes the file size from the formatted CSV string’s length in kilobytes. It also counts the number of rows and columns from the parsed data, displaying all three metrics in a large red monospace block. A background SVG image and a link to the raw dataset are included as supplementary information.

Ddheeraj1509

82% match

Loading thumbnail…

ICE-5 Data Visualization

This example displays metadata about an overseas dataset, including file size, row count, and column count, on an HTML page with a custom background image. It loads a CSV using `d3.csv` from a GitHub gist URL, then uses `d3.csvFormat` to calculate the data size in kilobytes. The page is styled with CSS and uses D3 v7 to fetch and process the dataset. Both the page title and the dataset link are presented as clickable elements, with the metadata output displayed in a preformatted block.

MMounikadontireddy

81% match

Loading thumbnail…

ICE 5

This visualization presents a blank SVG canvas with a light gray background, overlaid with an image pattern defined in the SVG defs. The main interactive element is a text display showing metadata about a dataset loaded from a CSV file, including its size, row count, and column count. The code uses D3 v5 to fetch and parse the CSV data from a GitHub gist URL, then formats and displays this information in a styled `<pre>` element. The rendering approach combines static SVG markup with dynamic data-driven text output.

TTekmal-Bhavana

81% match

Loading thumbnail…

ICE 5

This visualization presents metadata about a telecom dataset, summarizing its size, row count, and column count in a styled text display. It uses D3 v7’s `d3.csv` to load the remote CSV file and `d3.csvFormat` to calculate the file size in kilobytes, then inserts the computed statistics into a `pre` element via `textContent`. The page features a circular button linking to the raw dataset and a dark grey header, with a Telecom-themed SVG as the background image.

IIsabella Jaya Rani C

81% match

Loading thumbnail…

ICE5

This example presents metadata about a California housing dataset, displaying the file size, row count, and column count in a styled web page. It uses D3 v7’s `d3.csv` and `d3.csvFormat` to load and analyze a CSV file from a GitHub gist, then updates a `<pre>` element via `textContent`. The page is styled with custom CSS, including a background SVG, and includes a clickable link to the raw dataset. It demonstrates basic data loading and descriptive statistics without any charts or visualizations.

BBrian Gilmore

81% match

Loading thumbnail…

Data Visualization ICE5

This example displays a web page titled “This is ICE 5” that visually summarizes a CSV dataset by presenting its size, row count, and column count inside a large text block. The page also shows two static SVG images of a house and a human. It loads data from a remote GitHub gist using D3 v7’s `d3.csv` method, then computes the file size in kilobytes from `d3.csvFormat(data).length` and displays the metrics via `document.getElementById` with a template literal.

VVenkata Sai Preetham

81% match

Loading thumbnail…

ICE5

This example displays metadata about a student dataset, presenting file size, row count, and column count in a large, bold text overlay. The visualization uses D3.js v7 to fetch and parse a CSV file from a GitHub Gist via `d3.csv`, then formats the data with `d3.csvFormat` to calculate its size in kilobytes. The page’s background features a student-themed SVG image, styled with CSS. Static HTML text and links provide context, while the JavaScript dynamically updates a `<pre>` element with the computed statistics.

KKiran Jyothi Bodduluri-11604571

80% match