ICE5_ASSIGNMENT

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

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.

ICE5

This example displays the metadata of a university dataset loaded from a CSV file. Using D3 v7, the code fetches the data with `d3.csv` and computes the file size in kilobytes via `d3.csvFormat`, along with the number of rows and columns. The resulting information is rendered as plain text in a `<pre>` element, while a CSS background image of a credit card and a green accent color style the page. The visualization shows a minimal, text-based summary rather than a graphical chart.

Rradhadevarapu

ICE5

This example presents metadata about a credit card customer dataset. It displays the dataset’s size in kilobytes, row count, and column count on a webpage overlaid with a credit card background image. The code loads a CSV file using D3 v7’s `d3.csv` method, then computes the size of the formatted data with `d3.csvFormat` and updates the text content of a `<pre>` element. The page is styled with CSS and uses a link to the raw dataset source.

Ssaisreearibandi

ICE-5: Welcome to ICE-5 Data visualization

This example displays a web page titled "ICE-5: Welcome to ICE-5 Data visualization" that uses D3.js to fetch and summarize a CSV dataset of the Top 100 actors. It renders a cyan-styled `<pre>` element reporting the approximate file size in kilobytes, the number of rows, and the column count, alongside a static SVG image. The code leverages the `d3.csv` and `d3.csvFormat` APIs to load and measure the remote data, providing a simple, non-interactive overview of the dataset's structure.

SSravan1888

ICE-5

This example displays a static webpage that loads an insurance dataset from a GitHub gist, using D3.js’s `d3.csv` to fetch and parse the CSV file. It shows the data’s size in kilobytes, row count, and column count in a preformatted text block. The page also features an embedded SVG image of a home, styled with CSS flexbox and centered layout. The code relies on D3 v7 and basic HTML/CSS for structure and styling, with no interactive visualizations or charts.

RRevanthGrreddy

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

ICE-5 Data Visualization-11540639

This example demonstrates loading and parsing a CSV dataset with D3.js, displaying a summary of the UNT International Student Information file, including size, row count, and column count, alongside a static SVG image. The code uses `d3.csv` to fetch the data from a GitHub gist and `d3.csvFormat` to calculate the dataset size in kilobytes. Styling is applied via embedded CSS, with the results rendered in a styled `pre` element and an image sourced from a GitHub repository. The page is built with plain HTML and JavaScript, using D3 v7.

SSravanthi Silla