Fork of ICE-6: Rendering Marks and Channels with React & D3

Last edited Mar 6, 2022

Created on Mar 6, 2022

Forked from ICE-6: Rendering Marks and Channels with React & D3

This interactive bar chart visualizes the top 10 most populous countries using data loaded from a CSV file via `d3.csv`. The React component manages state with hooks, while D3 scales (`scaleBand`, `scaleLinear`) and axes position each rectangle in an SVG render. The chart displays population values from 2019 on the x-axis, with country names on the y-axis.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

Similar vizzes

Fork of ICE-6: Rendering Marks and Channels with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries, with country names on the y-axis and population values on the x-axis. The visualization uses React to manage state and render SVG elements, while D3 provides the `csv` data loading, `scaleBand` and `scaleLinear` for scales, and `max` for domain calculation. Population data is sourced from a CSV file, and each bar’s width encodes the 2019 population value, with grid lines and tick labels generated from D3’s scale ticks.

96% match

Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

This visualization displays a horizontal bar chart of the top 10 most populous countries, using the `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis. The bars are rendered as SVG rectangles via React, with tick marks and labels generated from D3’s scale ticks. The chart loads data from a CSV URL using `d3.csv`, and the code shows the use of `d3.max` for domain scaling.

Fork of ICE-6: Rendering Marks and Channels with React & D3

A bar chart displays the top 10 most populous countries from a Netflix dataset loaded via D3's `csv` function. The visualization uses React with `useState` and `useEffect` to manage data fetching, while D3's `scaleBand`, `scaleLinear`, `max` and `format` APIs handle the scales and axes. The SVG rendering includes grid lines, tick labels, and rectangles representing population values.

BBajiSharifPatan@my.unt.edu

Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

This bar chart displays the top 10 most populous countries using data from a CSV file. The visualization renders SVG rectangles with countries on the y-axis and population on the x-axis, using scales from d3-scale and React components for markup. The code loads data with d3.csv, applies a linear scale for population and a band scale for countries, then manually renders grid lines and axis labels inside a React SVG.

Fork of ICE-6: Rendering Marks and Channels with React & D3

This chart displays the top 10 most populous countries as horizontal bars, with each bar's length corresponding to a numeric score from the "2017" field of a college dataset. Using the `react` and `d3` libraries, the React component maps data to SVG rects based on `scaleBand` and `scaleLinear` scales, and renders axes with tick marks. It loads the data via d3's `csv` parser from a URL, and updates the visualization reactively through state management.

Fork of ICE-6: Rendering Marks and Channels with React & D3

This interactive bar chart displays the top 10 most populous countries using data loaded from a CSV file. The visualization uses React to render SVG marks, with D3’s `scaleBand` and `scaleLinear` mapping countries to horizontal bars and population values to their lengths. Grid lines, tick labels, and axis text are generated manually via D3 scales, while React’s `useEffect` and `useState` handle asynchronous data fetching and state management.

Mmanvithareddykarra

Fork of ICE-6: Rendering Marks and Channels with React & D3

This bar chart displays the top 10 most populous countries, loading data from a CSV file containing 2019 population figures. The visualization renders as an SVG using React components that map country names to a band scale and population values to a linear scale. The code leverages React hooks like `useState` and `useEffect` alongside D3 utilities including `csv`, `scaleBand`, `scaleLinear`, and `max` to fetch, parse, and visually encode the dataset.

DDanthalakirankumar

Fork of Fork of ICE-6: Rendering Marks and Channels with React & D3

A horizontal bar chart displays the top 10 most populous countries for 2019, with country names on the y-axis and population values on the x-axis. The visualization is built using React for component structure and D3.js for data processing and SVG rendering. It fetches CSV data from a remote source, maps population values, and uses D3's `scaleBand` and `scaleLinear` for axes and bar positioning. D3's `csv` function loads the data, which is then rendered as SVG rectangles within a React SVG element.

Ppreethamkesa