programming_languages_demand.csv

Programming_languages_demand

This example demonstrates a simple D3.js data-loading and parsing workflow. It fetches a CSV file from a GitHub gist, cleans its formatting, and uses `d3.csvParse` to convert the text into a tabular data structure. The visualization then displays a summary of the dataset—its size in kilobytes, row count, and column count—in a styled HTML box, while also logging this information to the console. Finally, it appends a static SVG containing a circle and a rectangle to the page, using D3's selection and attribute methods.

AAparna Desi Reddy

81% match

Programming_languages_demand

This bar chart displays average salaries for various programming languages, with bars sorted from highest to lowest salary. The visualization uses D3 v7 to fetch and parse CSV data from a GitHub gist, applying a text-cleaning regex before parsing. The chart renders as SVG with d3.scaleBand and d3.scaleLinear axes, while a summary box shows file size, row count, and column count from the parsed dataset.

AAparna Desi Reddy

79% match

bar chart with D3.js

This bar chart visualizes the popularity of programming languages using value data from a CSV file. Built with React and D3.js v4, it renders bars as SVG rectangles with colored fills and axis labels. The example includes interactive controls—a column selector and a bin count input—that allow users to explore data aggregation. The visualization uses D3 scales for axes and a color mapping from the dataset, with a dark blue container background for contrast.

AAbhishek Kumar

77% match

Fork of Fork of Fork of Fork of Fork of Fork of Fork of Fork of Fork of Fork of Fork of Fork of Fork of React & D3 Starter

This example displays a study focus dataset summary, showing the file size, row count, and column count from a remote CSV file. It uses React’s `useState` and `useEffect` hooks to fetch the data and `d3.csvParse` to parse the CSV text. The visualization renders a static SVG containing a circle and rectangle with light fills and black strokes, alongside the computed metrics. The code logs the file size, rows, and columns to the browser console.

77% match

Fork of Fork of Fork of Fork of Fork of Fork of Fork of Fork of Fork of React & D3 Starter

This example summarizes a study-focus CSV dataset by displaying its file size, row count, and column count as text, accompanied by a simple decorative SVG containing a circle and a rectangle. It fetches a remote CSV using the Fetch API, parses it with `d3.csvParse`, and stores the computed metrics in React state via the `useEffect` hook. The interface is built with React components and renders both the summary and static SVG shapes as HTML and SVG elements.

Fork of Fork of Fork of Fork of Fork of Fork of Fork of Fork of Fork of Fork of React & D3 Starter

This example summarizes a study focus dataset by displaying its file size, row count, and column count in a styled React interface. The app fetches a remote CSV file from a GitHub gist and uses D3’s `csvParse` method to parse the text, then presents the metrics alongside a simple SVG containing a circle and rectangle. The visualization relies on React’s state management (`useState`) and `fetch` API, with D3 v7 loaded via script, and renders text and shapes using standard SVG markup.

Loading Data with React and D3

This example demonstrates how to load and summarize a CSV dataset in a React application using D3. The interface displays a plain-text report showing the file size in kilobytes, row count, and column count. The code uses React’s `useState` and `useEffect` hooks to fetch data via `d3.csv` from a GitHub gist containing CSS named colors, then formats the result with `d3.csvFormat`. The SVG markup in the HTML file is commented out and unused.

Fork of Fork of Fork of Fork of Fork of Fork of Fork of React & D3 Starter

This example summarizes a study-focus CSV dataset by displaying its file size, row count, and column count as styled text. It uses React’s `useEffect` and `useState` hooks to fetch the remote CSV with `fetch`, parse it via `d3.csvParse`, and update the UI. A static SVG circle and rectangle provide decorative visuals. The code also includes a non-React fallback using `d3.text` and `document.getElementById` in `index.html`, though the primary app is built with React and renders in SVG.