Fork of Fork of Fork of Representing a volume of dataset .

Fork of Representing a volume of dataset .

This visualization displays metadata about a pizzas dataset from Kaggle, showing the file size, row count, and column count in a styled text container. The page also includes a decorative SVG illustration and a heading. The code uses D3 v7’s `d3.csv` to load the remote CSV file and `d3.csvFormat` to calculate its size, then updates a `<pre>` element with the computed statistics via JavaScript. The layout is defined in HTML with embedded CSS for styling.

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Fork of Fork of Representing a volume of dataset .

This example displays metadata about a pizzas dataset from Kaggle, showing the file size in kilobytes, row count, and column count as text on a pink background. The page also embeds a static SVG illustration of pizza-related graphics. The code loads CSV data using `d3.csv` from D3 v7, formats it with `d3.csvFormat`, and updates a `<pre>` element’s text content to present the summary. Styling is handled through inline CSS, and the visualization uses a plain HTML structure with an embedded image.

95% match

Fork of Fork of Representing a volume of dataset .

95% match

Representing a volume of dataset .

This example displays a static SVG illustration of a dataset's volume, paired with a text summary of a pizzas dataset from Kaggle. The page shows the data’s size in kilobytes, row count, and column count, which is loaded via D3’s `d3.csv` and formatted with `d3.csvFormat`. The embedded SVG image and the styled text output are rendered using basic HTML and CSS, while D3 v7 handles the asynchronous data fetching.

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Fork of Fork of HTML

This example displays a static SVG illustration of an architectural structure alongside computed metadata about a movie dataset. The page presents the data properties—file size in kilobytes, row count, and column count—in large text below the graphic, fetched asynchronously from a CSV file using `d3.csv`. The visualization combines hand-authored SVG shapes with D3 v5’s data-loading and formatting utilities (`d3.csvFormat`) within a React-based project, rendering the result as a plain HTML page with custom CSS styling.

BBaswa Sathvika Reddy

Fork of Visualization of data using React

This example visualizes data from a remote CSV file as a pie chart, with each slice colored using the `hex` value from the dataset. It uses React hooks (`useState`, `useEffect`) to load the data asynchronously via `d3.csv`, then renders SVG paths computed with `d3.pie` and `d3.arc`. The page also displays file size, row, and column counts by reading the CSV text in the `index.html` script. The chart updates once the data arrives.

Aamulyakannam

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

This example displays a page that loads a CSV file from a GitHub gist, then calculates and displays the file size, row count, and column count. The data is fetched using D3.js v7’s `d3.csv` method, and the string summary is rendered in a styled `<pre>` element. The page also includes a decorative SVG image. The visualization is built with React and relies on D3’s CSV parsing and formatting APIs to summarize the dataset.

PPujitha14challagulla

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

PPujitha14challagulla