Skip to main content
SimilarExport ZIP
100%

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

✓ Published0🌍 Public
Vvegurusaiprathyusha
Last edited Mar 7, 2022
Created on Mar 7, 2022

This fork of an ICE-6 example visualizes the top 10 most populous countries as a bar chart, rendered as SVG marks within a React application. Using D3’s `scaleBand` and `scaleLinear` for axes, it maps country names to y-positions and population values to bar widths, with axis lines and tick labels generated from D3's scale methods. Data is loaded asynchronously from a CSV URL via `d3.csv`, and the chart is updated through React state management as the data loads.

AI-generated description

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

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

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

This example visualizes the top 10 most populous countries as a bar chart, using horizontal bars to compare population counts. The chart employs React for component structure and state management, while D3.js version 5 provides the scaling and layout functions, including `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Data is loaded asynchronously from a CSV file via `d3.csv`, and the SVG rendering uses React's declarative syntax to draw the bars and axes.

Eeravellisaimeghana
96% match
Loading thumbnail…

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 bars sized by population for 2019. It renders SVG marks using React, with D3’s `scaleBand` and `scaleLinear` to map country names and population values to positions and sizes. The chart’s axes are drawn with D3’s `axisBottom` and `axisLeft`, while data is loaded via `d3.csv` from a provided URL. The visualization demonstrates how React components can declaratively structure SVG elements, with D3 handling scales and data formatting.

NNarayana
96% match
Loading thumbnail…

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

This fork of ICE-6 demonstrates a bar chart of the top 10 most populous countries, using React hooks and D3 v5 to render SVG marks and channels. The component loads CSV data with `d3.csv`, sorts by 2019 population, and maps values through `scaleBand` for the y-axis and `scaleLinear` for the x-axis. Ticks are generated via `xScale.ticks()`, while React's `useState` and `useEffect` manage the asynchronous data loading and state updates.

Ppreethamkesa
96% 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
95% match
Loading thumbnail…

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

This example shows a horizontal bar chart of the top 10 most populous countries, using population data from a CSV file. The chart is built with React components that render SVG elements, with D3 scales and axes from `d3.scaleBand`, `d3.scaleLinear`, and `d3.max` handling the layout. A loading state is displayed until the data is fetched via `d3.csv`. The visualization demonstrates how React manages the DOM while D3 provides the data-driven mapping and axis generation.

SSnapika
95% 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
95% match
Loading thumbnail…

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

This example shows a horizontal bar chart of the top 20 countries by population, using React to render SVG marks and D3 to compute scales and tick values. The component fetches CSV data from a GitHub gist, parses population values, and maps countries to a band scale along the y-axis and population to a linear scale on the x-axis. The visualization displays gridlines, axis labels, and rectangles for each country, with d3.csv for loading and d3.scaleBand and d3.scaleLinear for positioning.

Bbindhureddy98
95% match
Loading thumbnail…

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

This visualization is a horizontal bar chart showing the ten most populous countries, with a title above the chart. The chart uses SVG rendering within a React application, leveraging D3’s `scaleBand` for the categorical y-axis, `scaleLinear` for the continuous x-axis, and manual mapping of data to `rect` marks for each country. The code also uses D3’s `csv` loader to fetch population data from an external file, with axes constructed using `axisLeft` and `axisBottom`.

SSnapika
95% match