Fork of Vikas Fork of Fork of Fork of Fork of HTML Starter

Fork of Fork of Vikas Fork of Fork of Fork of Fork of HTML Starter

This example visualizes scientific data about ICE-5, displaying a summary of a CSV dataset alongside a set of SVG color swatches with labels such as Han Purple and Harvest Gold. It uses D3 v7 to fetch and parse the remote CSV via `d3.csv`, then calculates the file size, row count, and column count to display in a pre-formatted text block. The rendering is done entirely in SVG, with static circles and text elements embedded directly in the HTML. The page also includes an external SVG image, though its content is not programmatically processed.

96% match

Fork of Fork of Fork of Vikas Fork of Fork of Fork of Fork of HTML Starter

This example demonstrates a scientific data visualization of the ICE-5 dataset, showing summary statistics about the data's size and structure in a text container. It also includes an embedded SVG image and a custom color legend rendered as four simple car graphics, each labeled with a specific color name. The visualization uses D3.js v7 to load and parse a remote CSV file via `d3.csv`, then displays the number of rows, columns, and file size in kilobytes. The SVG elements are drawn manually with basic shapes like `rect` and `circle` to illustrate the color palette.

94% match

Vikas Fork of Fork of Fork of Fork of HTML Starter

This example visualizes the ICE-5 dataset by displaying a summary of its structure, including row count, column count, and file size, alongside an accompanying SVG image. The code uses the D3.js v7 library to fetch a CSV file via `d3.csv` and dynamically updates the page’s message container with computed statistics. A static SVG image is embedded directly in the HTML, while the script formats the data metrics using `d3.csvFormat` and `Math.round` to present the information clearly. The visualization focuses on communicating dataset dimensions rather than plotting the data itself.

92% match

Fork of Fork of Fork of HTML Starter

This example displays a static welcome page for ICE-5 data visualization, featuring a title, an embedded SVG image, and a text summary of a loaded CSV dataset. The page uses d3.csv to fetch and parse the remote CSV file, then computes and displays the dataset’s size in kilobytes, row count, and column count. D3 v7 is loaded via unpkg, and the summary updates dynamically in a <pre> element. The visualization does not include charts or interactive graphics; it focuses on presenting metadata about the CSV source.

86% match

JJayaSaiReddySantimalla@my.unt.edu

Fork of Fork of Fork of HTML Starter ice5

This example visualizes named CSS colors by rendering four kite shapes, each filled with a distinct color such as Waterspout, Vivid Cerise, Yellow, and Zinnwaldite. It shows how SVG polygons and lines construct the kites and their tails, with text labels for each color name. The page loads a CSV dataset via d3.csv, displaying the file size, row count, and column count in a message container. D3 v7 and raw SVG elements are used for data handling and static drawing, while an external embedded SVG image is included as a reference.

Fork of Fork of ICE-5: Loading and Parsing CSV Data with D3.js

This example demonstrates how to load and parse external CSV data using D3.js version 7, displaying summary statistics about the dataset in a styled HTML page. The code fetches a CSV file from a GitHub gist using `d3.csv`, then computes and displays the file size in kilobytes, row count, and column count in a violet-styled `<pre>` element. The page also includes a static SVG house illustration and uses basic CSS for heading and text styling. The visualization focuses on data loading workflow rather than graphical chart rendering.

VVaishnavi6199

Fork of Fork of Fork of ICE-5: Loading and Parsing CSV Data with D3.js

This example demonstrates loading and parsing a CSV file using D3.js. The visualization displays a summary message that includes the data size in kilobytes, row count, and column count. The code uses `d3.csv()` to fetch and parse the remote CSV data from a GitHub gist URL, then calculates the data size using `d3.csvFormat()` and accesses the data's length and `columns` property. The page also embeds an SVG house image and applies CSS styling with violet and skyblue backgrounds for visual emphasis.

VVaishnavi6199

Fork of Fork of Fork of Fork of ICE-5: Loading and Parsing CSV Data with D3.js

This example demonstrates how to load and parse CSV data using D3.js, displaying basic statistics about the dataset in a styled HTML page. The code uses the `d3.csv` method to fetch data from a remote gist URL, then calculates and presents the file size in kilobytes, row count, and column count. The page includes a header, an SVG image, and a message container styled with CSS, all rendered through a minimal React-free HTML structure. The visualization emphasizes the simplicity of reading tabular data with D3's promise-based API.

Ssaiteja0725