ICE-5: The Shapes of Data

ICE-5: Data visualization

This example demonstrates a web page that displays the file size, row count, and column count of a CSV dataset, alongside a static SVG graphic titled "star.svg." The page uses D3.js version 7.3 to fetch the remote CSV file via `d3.csv`, then formats and injects the summary statistics into a styled `<pre>` element. The rendering is plain HTML and CSS, with a React framework noted in metadata but not used in the visible markup. The SVG contains simple geometric shapes with gray and blue fills.

Ssowmyanagula@my.unt.edu

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

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

ICE-5 Shapes

This example presents metadata about a world population dataset within a visually styled HTML page. It displays the file size in kilobytes, row count, and column count in a `<pre>` element, calculated using `d3.csv` and `d3.csvFormat`. The page is styled with a purple background and an embedded SVG illustration, while a link directs users to the raw dataset. The code uses D3 v7 to fetch the CSV from a GitHub gist and dynamically update the text content.

SSharmaAshwini

KKiran Jyothi Bodduluri-11604571

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.

ICE-5 The Shapes of Data

This example displays metadata about a Texas house rentals dataset, including its size in kilobytes, row count, and column count. It reads the data from a CSV file hosted on GitHub using D3 v7's `d3.csv` method, then calculates and presents the file size with `d3.csvFormat`. The page presents this information in a styled HTML document alongside a static SVG illustration of a house and a link to the raw dataset.

Aanushaanumula

ICE 5

This example reads a CSV file from a GitHub gist and displays summary statistics about its size and structure. The visualization first fetches the data using the D3 CSV parser, then calculates the total data size in kilobytes by formatting the content, and finally reports the row and column counts. The output is rendered as plain text within a black-styled HTML `<pre>` element. D3 v7 is used solely for CSV loading and formatting, while the page layout relies on basic HTML and CSS styling.

RRobFaj

ICE-5

This visualization displays a summary of a dataset, reporting the number of rows, columns, and approximate file size in kilobytes. The page loads an external CSV file and uses the D3.js library’s `d3.csv` function with the `d3.autoType` parser to automatically infer data types. After parsing, the code calculates the formatted data length and row count to construct a text message, which is rendered in a `<pre>` element using JavaScript's `getElementById` and `textContent`. The visualization also includes a static SVG image and links to the source data.

Nnikhilagopi