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

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

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

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

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

This example visualizes the top 10 most populous countries as a horizontal bar chart using React and D3. The code loads CSV data from a GitHub gist, processes the population values, and renders SVG rectangles with scaleBand and scaleLinear for the y and x axes respectively. It manually constructs ticks and gridlines, leveraging React’s state management with useEffect and useState alongside D3’s csv and max functions.

RRadhakrishna246

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

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 React for component rendering and D3 for data loading and scales. The code loads CSV data via `d3.csv`, maps it with a custom row function, and visualizes it as SVG rectangles whose widths are scaled by population using `scaleLinear`, while `scaleBand` positions the bars. Tick marks and labels are generated manually from the scales, and the chart is rendered into a React component using `ReactDOM.render`.

KKolliTeja

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 in 2019, using population data loaded from a CSV file. The visualization is built with React and D3 v5, rendering SVG marks (rectangles) and channels (position and length) to encode the data values. It uses `scaleBand` and `scaleLinear` for axes, along with manual tick rendering and axis labels, all within a React component that fetches data with `csv`.

Ssai snehith nadipally

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