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

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

This visualization displays the top 20 countries by COVID-19 case counts using a horizontal bar chart rendered as SVG marks within a React component. The code uses React’s `useState` and `useEffect` hooks to load and parse CSV data via `d3.csv`, with `scaleBand` and `scaleLinear` mapping country names and case numbers to pixel positions. Axis ticks and gridlines are generated manually by iterating over `xScale.ticks()` and the band domain, while each bar’s width derives from the numeric value. The example demonstrates combining D3’s scales and data loading with React’s declarative element creation.

Aaashrithd4

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

This visualization displays the top 20 countries by COVID-19 cases using horizontal bars, with country names on the y-axis and case counts on the x-axis. Built with React and D3 v5, it uses `d3.csv` to load data, `scaleBand` and `scaleLinear` for positioning, and renders SVG rectangles and axes through React components. The chart pulls from a GitHub-hosted CSV file and updates state asynchronously with React hooks, showing a loading message before the data appears.

Ffouzanuddin

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

This visualization displays the top 20 countries by population from a COVID-19 dataset, rendered as horizontal bars showing each country's confirmed case count for the date January 28, 2020. The React application uses D3's `scaleBand` and `scaleLinear` to map country names and population values to SVG rectangles, with gridlines and tick labels generated from the scales. The code loads data via `d3.csv` from a GitHub gist and uses React `useState` and `useEffect` hooks to fetch and process the data before rendering the chart.

Ggopiganta

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

This bar chart visualizes the top 20 countries by confirmed COVID-19 cases, using horizontal bars to compare population metrics. The visualization is built with React and D3 v5, leveraging `d3.csv` to load the dataset and `d3.scaleBand`/`d3.scaleLinear` for axis scaling. SVG elements are rendered declaratively through React, with `rect` marks for bars and text grids for tick labels, displaying both chart axes and data directly from the raw CSV file.

AArefa Patwary

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

This visualization displays the top 20 countries by COVID-19 case counts (from the "1/28/20" column of a CSV dataset) as a horizontal bar chart. Using React components with D3.js, it renders SVG rectangles whose widths are scaled by `d3.scaleLinear` against the maximum population value and positions the bars along a categorical `d3.scaleBand` axis for country names. D3’s `csv` loader fetches remote data, while axis ticks and labels are generated manually with `xScale.ticks()`. The chart is drawn within a 960×500 SVG canvas, with margins and inner plot dimensions defined by constants.

Sskambhore04

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

This bar chart displays the top 20 countries by reported COVID-19 cases, using horizontal bars to compare values. The visualization loads CSV data via `d3.csv` and slices the first 20 rows, with React managing state and rendering SVG elements. Scales are created using `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis, with axis ticks manually generated and mapped to React components. Each bar is drawn as a `rect` element, with the x-axis grid lines and tick labels rendered as SVG `line` and `text` elements.

Bblikitha

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

This visualization displays the top 20 countries by COVID-19 cases on January 28, 2020, as horizontal bars ranked by population. Built with React and D3 v5, the chart uses `d3.scaleBand` for the y-axis country labels and `d3.scaleLinear` for the x-axis case counts, rendering SVG rectangles for bars and manually drawn tick marks and axis labels. Data loads asynchronously from a CSV via `d3.csv`, with numeric parsing applied before state updates trigger re-rendering.

SSaikiran2029

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

This example shows a horizontal bar chart of the top 20 countries by COVID-19 cases, using data loaded from a CSV file via `d3.csv` and rendered with React and D3 v5. The visualization uses `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and draws SVG `<rect>` elements for the bars with tick marks and labels generated from `xScale.ticks()`. The chart updates reactively from React state, with the data slice and parsing handled inside a `useEffect` hook.

Llikith1266