Skip to main content
SimilarExport ZIP
100%

ICE5 datascience salaries

✓ Published0🌍 Public
Kkmuktha09@gmail.com
Last edited Oct 6, 2025
Created on Oct 6, 2025

This example demonstrates loading and parsing a CSV dataset of data-science salaries using D3 v7. It fetches the remote CSV file via the Fetch API, parses it with `d3.csvParse`, and displays a summary showing the file size in kilobytes, row count, and column count. The interface renders a preview table of the first 15 rows using D3’s table-building methods, alongside a static SVG badge that reports the loaded data dimensions. The visualization uses standard D3 selection and DOM manipulation with `d3.select`, `.append`, and SVG elements like `rect` and `text`, all rendered in SVG.

AI-generated description
MIT Licensed

Similar vizzes

Loading thumbnail…

ICE-5 Muk

This example demonstrates loading and parsing a CSV dataset with D3.js, displaying a preview of the first ten rows in a styled HTML table. It fetches the "datascience salaries" CSV from a GitHub gist, uses `d3.csvParse` to convert the text into an array of objects, and reports the file size, row count, and column count. The code uses `fetch` for asynchronous data retrieval, `d3.select` to manipulate the DOM, and dynamically builds the table header and body using `data.columns` and nested `forEach` loops.

Kkmuktha09@gmail.com
85% match
Loading thumbnail…

ICE5

This example displays a summary of CSV data, showing the computed file size in kilobytes, row count, and column count for a small inline dataset of employee records. The data is parsed using `d3.csvParse` on a hard-coded string, and a Blob object calculates the approximate file size. The interface presents these three metrics inside a styled white box with a hover-scale effect, set against a blue gradient background. D3.js v7 handles the CSV parsing while standard browser APIs manage the file-size estimation.

Vvk9395593@gmail.com
84% match
Loading thumbnail…

ICE-5 loading and parsing data with D3.js

This visualization demonstrates how to load and parse a remote CSV file using D3.js v7. The example fetches a raw CSV dataset hosted on GitHub and displays summary statistics about the data, including its size in kilobytes, row count, and column count, within a styled HTML page. It utilizes the `d3.csv` function to asynchronously retrieve and parse the data, then leverages `d3.csvFormat` to calculate the data's byte size. The page uses simple CSS for minimal styling and JavaScript to handle the loading process and update the message container.

Vvidhyanamini
84% match
Loading thumbnail…

ICE5

This example summarizes the metadata of an employee dataset loaded from a remote CSV file. It uses D3.js v7’s `d3.csv` to fetch the data, then calculates and displays the file size in kilobytes, the total row count, and the number of columns. The computed metrics are presented as text inside a `<pre>` element, while a background SVG image (ICE-5) and hyperlinks provide context and access to the raw dataset.

Bbhanuprasadk19
83% match
Loading thumbnail…

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

This example demonstrates how to load and parse a CSV dataset using D3.js v7, displaying the file size, row count, and column count in a large text element. The visualization includes two inline SVGs: a decorative illustration and a chart-like graphic with rectangles, lines, and drop shadows. The code uses `d3.csv()` to fetch data from a GitHub Gist URL and `d3.csvFormat()` to compute the raw data size in kilobytes. The page relies on React for structure and standard CSS for styling.

CChaitanya Galla
83% match
Loading thumbnail…

ICE-5

This example presents a summary of a CSV dataset, displaying file size, row and column counts, and a preview of the first five records in an HTML table. It also includes a static SVG graphic with basic shapes and text. The code uses D3.js version 7 to fetch and parse the CSV data via `d3.csv` and the browser’s `fetch` API for file size, populating the summary and table dynamically. The rendering relies on SVG elements defined in the markup and styled with CSS.

MMd Fahimul Kabir Chowdhury
82% match
Loading thumbnail…

ICE 5

This example displays metadata about an employee salary dataset, reporting the file size, row count, and column count in plain text on a web page. It loads CSV data from a GitHub gist using D3.js’s `d3.csv` method, then formats the dataset with `d3.csvFormat` to calculate its size in kilobytes. The computed summary is inserted into a predefined `<pre>` element via `textContent`. The page is built with HTML, CSS, and vanilla JavaScript, styled by an external stylesheet, and relies entirely on D3’s data-loading and formatting utilities without any additional visualization.

RRishiAdarsh
82% match
Loading thumbnail…

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

This example demonstrates how to load and parse CSV data using D3.js, displaying the dataset’s size, row count, and column count in a styled HTML page. The code uses the `d3.csv` method to fetch data from a remote CSV file and `d3.csvFormat` to measure its size in kilobytes. The page also includes a decorative SVG illustration and custom CSS styling, with results rendered into a `pre` element via JavaScript. The visualization emphasizes data summary metrics rather than graphical charts.

PPrasanth Damarla
82% match