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

100%

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

✓ Published0🌍 Public

Last edited Mar 6, 2022

Created on Mar 6, 2022

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

This visualization uses a bar chart to display the top 10 soap product countries by population for the year 2019. The React app loads CSV data with D3’s `csv` parser and renders an SVG with `scaleBand` for the y-axis and `scaleLinear` for the x-axis. D3’s `axisLeft` and `axisBottom` are replaced by manual tick rendering, while blue horizontal gridlines and text labels structure the chart. The component uses React hooks like `useState` and `useEffect` to fetch and manage data.

AI-generated description

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

Similar vizzes

Loading thumbnail…

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

This visualization displays the top 10 soap products as a horizontal bar chart, with bar lengths encoding product population values from a CSV dataset. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and renders SVG rectangles directly through React components. The chart includes custom grid lines and axis tick labels generated from `xScale.ticks()`, with data loaded asynchronously via `d3.csv`.

Sspandhanabadekol

93% match

Loading thumbnail…

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

This example visualizes the top 10 soap products by their 2008 population values using a horizontal bar chart rendered as SVG. The chart employs React’s `useState` and `useEffect` hooks to asynchronously fetch CSV data from a GitHub URL, then maps each product to a rectangle whose width is proportional to its population via `d3.scaleLinear` and `d3.scaleBand`. Axes ticks are generated with `xScale.ticks()`, and the layout uses explicit margins and dimensions. The code demonstrates manual rendering of marks and channels with React components and D3 scales.

Ssudhamshu24

93% match

Loading thumbnail…

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

This visualization displays a horizontal bar chart of the top ten countries by population for 2019, with a title indicating the highest population. The bars are rendered as SVG rectangles, with axes drawn using D3’s scaleBand and scaleLinear. The app is built with React, using hooks like useState and useEffect to fetch and process CSV data via d3.csv. Axes ticks and labels are manually generated from the scales, avoiding d3.axisLeft or axisBottom.

DDivyaVellanki

91% match

Loading thumbnail…

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

This visualization is a React application that displays a horizontal bar chart of the top 10 most populous countries. The chart uses D3.js version 5 to load CSV data, and scales the bar lengths according to each country's population. The React component renders SVG elements, creating bars with lengths proportional to the values, and uses D3's `scaleBand` and `scaleLinear` for positioning and scaling. It includes axis tick marks and labels generated with D3's `ticks` function.

Ppreethamkesa

91% match

Loading thumbnail…

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

This visualization shows the top 10 most populous countries in 2019 using horizontal bar marks, with country names on the y-axis and population values on the x-axis. The bars are rendered as SVG rectangles, with blue grid lines and tick labels generated from the linear scale. The code uses React hooks (`useState`, `useEffect`) to load and transform CSV data via `d3.csv`, then creates scales with `d3.scaleBand` and `d3.scaleLinear`. Axes and ticks are manually positioned using React elements rather than D3 axis components, combining React's declarative rendering with D3's data manipulation and scaling utilities.

JJyothicherukuri

91% match

Loading thumbnail…

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

91% match

Loading thumbnail…

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

This example visualizes the top 10 most populous countries in 2019 using a bar chart rendered as SVG. The chart displays population counts on the x-axis and country names on the y-axis, with blue gridlines and tick labels. The data is loaded from a CSV file using `d3.csv` and processed with `useEffect` and `useState` hooks. React handles the component rendering, while D3’s `scaleBand`, `scaleLinear`, and `max` functions generate the scales and layout for the SVG elements.

IInnocent Ernest

91% match

Loading thumbnail…

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

This visualization displays the top 10 most populous countries as a horizontal bar chart rendered with SVG. The chart uses React with hooks `useState` and `useEffect` to load and manage CSV data from a GitHub gist, while D3 v5 provides `csv`, `scaleBand`, and `scaleLinear` for data parsing and scaling. Interactive features include grid lines and axis tick labels generated with D3's `scaleLinear.ticks()`. The bars visually encode population values through their width, with country names positioned along the y-axis.

RRakshithaRao27

91% match