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

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 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.

SSaikiran2029

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

This visualization displays the population of 20 countries as horizontal bars, with country names on the y-axis and population values on the x-axis. The SVG chart is rendered using React components alongside D3 scale functions and SVG elements. The code loads CSV data from a GitHub Gist, parses the population column, and uses `scaleBand` for the y-axis and `scaleLinear` for the x-axis. Axis ticks and labels are generated manually with D3’s `ticks()` method, while bars are drawn as `<rect>` elements.

Ssudhamshu24

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 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

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

A horizontal bar chart displays population estimates for twenty countries, rendered as SVG rectangles scaled by population value. The chart uses D3's `scaleBand` for the categorical country labels on the vertical axis and `scaleLinear` for the quantitative population axis. The React component fetches CSV data from a remote URL via `d3.csv`, stores it in state, and uses React's `useEffect` to trigger the asynchronous load. Axis ticks and labels are generated using D3's scale methods, with gridlines and text elements constructed as React SVG components.

Ttejaswikalluri05

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

This example shows the population of the top 10 countries as horizontal bars within an SVG, using a bar chart layout. The visualization is built with React and D3, where React manages the component state and rendering, while D3's `scaleBand`, `scaleLinear`, `max`, and `csv` functions handle data loading, scaling, and layout. The SVG is rendered using React's declarative syntax, with axes and tick marks generated from D3's scale methods. The code references a CSV data source and displays a loading message while fetching data.

RRohith arabati

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

This example visualizes the top 10 most populous countries in 2019 using a horizontal bar chart, with country names on the y-axis and population values on the x-axis. The chart displays blue gridlines and bars of varying widths to represent each nation’s population. Built with React and D3, the code loads CSV data via `d3.csv`, uses `scaleBand` for the y-axis and `scaleLinear` for the x-axis, and renders SVG rectangles and text elements directly through React components. Axis ticks are generated manually from the scales.

SSrilekha24