Fork of Loading and Parsing CSV Data

100%

Fork of Loading and Parsing CSV Data

✓ Published2🌍 Public

Last edited Aug 27, 2022

Created on Aug 20, 2022

Forked from Loading and Parsing CSV Data

This example visualizes CSS named colors as a grid of circles, where clicking any circle displays its corresponding hex value above the SVG. The data is loaded asynchronously from a GitHub-hosted CSV file using the `d3.csv` function within React's `useEffect` hook. Rendering is handled through React components that generate SVG circles, with interaction managed via callback handlers like `handleMouseOver` and `onClick`. The visualization also displays data statistics, including file size, row count, and column count, computed using `d3.csvFormat`.

AI-generated description

A program that loads and parses some CSV data: CSS Named Colors.

Similar vizzes

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example loads a CSV file of CSS named colors, parses it with the `d3.csv` function, and renders a colored square for each row using React’s `useEffect` and `useState`. The squares’ background colors come from the `RGB hex value` column, with a fixed width and height of 100 pixels. While loading, a large “Loading …” message is displayed. The console logs the first row, and the data is fetched from a GitHub Gist URL. The example demonstrates asynchronous data retrieval and simple color-based visualization with D3’s CSV parser and React’s state management.

AAna Roque

90% match

Loading thumbnail…

Fork of Loading data in D3

This example demonstrates a React-based data visualization that loads a CSV file of named CSS colors and renders each color as an arc segment in a partial donut chart using SVG paths. The code fetches the external CSV file with d3.csv, then maps each row to a path element using the d3.arc generator with a fixed outer radius and angle range. The fill color for each path is taken directly from the CSV’s “RGB hex value” column, showing the complete dataset without additional aggregation.

HHgeginat

89% match

Loading thumbnail…

Fork of Fork of Fork of Loading Data with React & D3

This example visualizes CSS named colors as a circular pie chart, with each colored slice representing a single color from a dataset loaded via D3. It shows the distribution of color names across the spectrum, using the RGB hex value for each slice’s fill. The code loads the CSV data with `d3.csv` into React state via `useState` and `useEffect`, then renders SVG paths generated by `d3.arc` with calculated start and end angles. React handles the component lifecycle, displaying a loading message until data arrives.

Vvram80

89% match

Loading thumbnail…

Fork of Loading Data with React & D3

This example loads CSS named color data from a CSV file using D3’s `csv` utility and manages the asynchronous result with React’s `useState` and `useEffect` hooks. While the data is pending, a "Loading..." message appears. Once loaded, it renders an SVG donut chart where each slice represents one color, filled with its own RGB hex value and positioned using D3’s `pie` and `arc` generators. The visualization directly maps the dataset’s categorical entries to equal-sized arcs, effectively showcasing the full palette.

Vvitsenklavitsen

89% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example demonstrates the process of loading and parsing CSV data, specifically a dataset of CSS named colors, and visualizing the results. It uses the D3.js library (v5) within a React framework to fetch the CSV file, parse its contents, and render the color data. The visualization showcases the parsed colors, with the code utilizing D3’s `d3.csv` parsing capabilities and the fetch API to handle data loading asynchronously. The rendering approach highlights the color values in a clear, organized layout, emphasizing the data’s structure.

TThfc1991

89% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example visualizes the CSS Named Colors dataset by rendering each color’s name in a large, styled <pre> element. It demonstrates loading CSV data with D3 v5’s `d3.csv` and parsing the rows to extract color names and hex values. The code uses a React framework to manage the component state, while D3 handles the asynchronous data fetching. On load, the parsed entries are displayed sequentially, with the text color set to match each hexadecimal value.

BBjoernujjwb

89% match

Loading thumbnail…

Fork of loading data with react and d3

This example demonstrates how to load and display CSV data in a React application using D3’s `d3.csv` method. It fetches a dataset of CSS named colors from a GitHub gist and stores the parsed rows in component state via React’s `useState` and `useEffect` hooks. The code includes a commented-out SVG visualization of circles, suggesting potential rendering with React elements, though no visual output is actively rendered. A utility function in `message.js` calculates dataset statistics like file size, row count, and column count using `d3.csvFormat`.

NNart Williamson

89% match

Loading thumbnail…

Fork of Loading and Parsing CSV Data

This example demonstrates loading and parsing CSS Named Colors data from a CSV file hosted on GitHub. It displays basic statistics about the dataset, including the file size in kilobytes, the number of rows, and the number of columns. The visualization uses D3.js version 5's `d3.csv` method to fetch and parse the remote CSV asynchronously, then updates the page’s text content via the DOM. The code relies on React for the overall framework setup, with the styling and layout defined in the HTML file.

KKonJoDot

89% match