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

BBajiSharifPatan@my.unt.edu

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

This visualization displays the top 10 most populous countries in 2019 as a horizontal bar chart, retrieved from a CSV dataset. Using React for component structure and D3 v5 for data processing and scales, it renders SVG marks for the bars with axes and labels. The code employs `d3.csv` for loading data, `d3.scaleBand` and `d3.scaleLinear` for positioning, and maps data to rectangles within an SVG group.

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 in 2019. The React component uses D3 scales (`d3.scaleBand` and `d3.scaleLinear`) to position bars and axes, rendering SVG marks directly with React elements. Data is loaded asynchronously from a CSV via `d3.csv`. The chart includes custom axes with tick labels and gridlines, all styled through inline SVG attributes.

Sshabbab01

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 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

This example visualizes the top 10 most populous countries in 2020 using a horizontal bar chart rendered as SVG. It loads medal data from a CSV via `d3.csv`, slices the first 10 rows, and uses `scaleBand` for the y-axis and `scaleLinear` for the x-axis to map country names and population values. The React app manages data with `useState` and `useEffect`, while custom tick labels and grid lines are generated manually with D3 scales instead of using `axisLeft` or `axisBottom`. Bars are drawn as `<rect>` elements inside a translated `<g>` group.

Nnagamaheswar

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

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 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, sourced from a CSV file. The visualization renders the chart as an SVG, using React for component structure and state management, while D3 v5 utilities like `scaleBand`, `scaleLinear`, and `csv` handle data loading and scaling. The code draws axis ticks and labels directly, alongside the bars, within a single SVG `<g>` element.

SSrilekha24