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

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

This example shows the top 20 countries by total deaths from a CSV dataset, rendered as a horizontal bar chart using React and D3. The code leverages `d3.csv` to load data, `d3.scaleBand` for the categorical y-axis, and `d3.scaleLinear` for the quantitative x-axis. SVG rectangles represent each bar, with axes drawn manually via `d3.axisBottom` and tick marks, all positioned using React's declarative JSX markup within an SVG container.

99176371431

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

This visualization displays the top 20 countries by total COVID-19 deaths using horizontal red bars. It renders SVG marks with React state management, while D3 v5 scales (scaleBand, scaleLinear) and axes are computed in the render method. Data loads from a CSV via d3.csv, and the bars’ positions and lengths map country names and death counts through React’s useCallback and useEffect hooks.

99176371431

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

A bar chart displays the top 10 most populous countries, with bars ordered by country name and sized by 2019 population. The visualization is built using React and D3.js (v5), loading data from a CSV file and rendering SVG elements. It uses `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and `csv` to fetch and parse the data, with React managing the component state and rendering.

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

This example shows a horizontal bar chart of COVID-19 cases by country, displaying the top 20 countries based on population. The visualization uses React to manage state and render SVG elements, while D3 v5 handles data loading via `d3.csv` and scales with `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis. The chart renders tick marks, labels, and rectangular bars directly as JSX components, with data sourced from a CSV file hosted on GitHub.

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 visualization displays the top 10 most populous countries using a horizontal bar chart rendered with React and D3 v5. The bars encode population values through length, with countries listed along the y-axis. Data is loaded asynchronously from a CSV file using d3.csv, and the chart is drawn as SVG using d3.scaleBand and d3.scaleLinear for scales.

MManideepChakilam

BBajiSharifPatan@my.unt.edu

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

This interactive bar chart displays the top 10 most populous countries using a dataset of cancer statistics, though the code loads 53 rows. The visualization is built with React and D3 v5, using D3's `scaleBand` and `scaleLinear` to map country names and population values to SVG rectangles. The rendering leverages React's declarative components to generate SVG elements, with axes and tick marks created through D3's `ticks()` method. Data is loaded asynchronously via D3's `csv()` function from a GitHub gist URL.

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 a horizontal bar chart using React and D3 v5. The bars encode population values along the x-axis via a linear scale, while country names appear on the y-axis using a band scale. The SVG marks and text are generated declaratively through React components, with D3's `scaleLinear`, `scaleBand`, `max`, and `csv` functions handling data loading and scaling.

KKiran3295