Fork of Axes with React & D3

Fork of Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries for 2020, using data from the United Nations World Population Prospects 2019. The visualization renders as an SVG with both x- and y-axes, where the x-axis uses linear scaling and the y-axis uses band scaling. Built with React and D3 v5, the code employs `scaleLinear`, `scaleBand`, `max`, and `csv` to load and process the data, then manually generates axis ticks and gridlines as SVG elements. React state management handles the asynchronous data loading and conditional rendering.

Ppinlin0816157

Fork of Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries, using data from the United Nations World Population Prospects 2019. The visualization renders as SVG with React managing the component state and D3’s `scaleBand`, `scaleLinear`, and `max` utilities handling the scales and data transformations. Axes are drawn manually with D3’s tick methods, positioning grid lines and labels. The bars use the `rect` SVG element, with each bar’s width proportional to the country’s 2020 population.

EEbdulmomen Ahmed

Fork of Axes with React & D3

This bar chart displays the top 10 most populous countries by 2020 population, using horizontal bars sorted descending. The visualization is built with React components for rendering SVG marks and axes, while D3.js (v5) computes scales, ticks, and number formatting via `scaleBand`, `scaleLinear`, and `format`. Data comes from the UN World Population Prospects 2019 CSV. The chart features custom axis components, tick labels formatted with "B" for billions, and tooltips via SVG `<title>` elements.

Llatifiss

Fork of Axes with React & D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, using data from the United Nations World Population Prospects 2019. The chart displays axes rendered as SVG elements, with a linear scale for population values and a band scale for country labels. The code leverages React hooks (useState, useEffect, useCallback) to fetch and manage the CSV data, while using d3.csv, d3.scaleBand, and d3.scaleLinear for data processing and scaling. The visualization is rendered entirely through React components, producing SVG rects, lines, and text elements.

SSreekar Reddy

Fork of Axes with React & D3

This interactive bar chart displays the top 10 most populous countries in 2020 according to the United Nations World Population Prospects 2019. The visualization loads CSV data via `d3.csv` and uses React with hooks (`useState`, `useEffect`) to manage asynchronous data fetching and rendering. D3 v5 constructs the scales: `d3.scaleBand` for countries on the y-axis and `d3.scaleLinear` for population on the x-axis. The SVG output includes gridlines and tick labels via `xScale.ticks()`, with bars drawn as `rect` elements.

GGeekboxer

Fork of Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries in 2020, using United Nations World Population Prospects 2019 data. The visualization shows country names along the y-axis and population counts on the x-axis. Built with React and D3 v5, the code uses `scaleBand` and `scaleLinear` to compute scales, while React's `useState` and `useEffect` handle data loading. The SVG output includes grid lines and tick labels generated from `xScale.ticks()`, and the chart fills the available space with proper margins.

GGopal Khandelwal

Fork of Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries, with population values from the United Nations World Population Prospects 2019. The visualization shows a basic bar chart with axes rendered using React and D3 v5. The code uses `d3.csv` for loading data, `d3.scaleBand` and `d3.scaleLinear` for positioning, and manually renders axis ticks and labels as SVG elements. React manages the chart's state and rendering, while D3 handles data loading and scaling.

Ddsibi

Fork of Axes with React & D3

This visualization displays the top 10 most populous countries as a horizontal bar chart, using the United Nations World Population Prospects 2019 dataset. The React component manages state and lifecycle while D3’s `scaleBand` and `scaleLinear` handle positioning. Axes are manually constructed with D3’s `ticks()` method, rendering grid lines, tick labels, and country names as SVG elements. The chart includes minimal styling and no axis titles, presenting a raw, functional view of the data distribution.

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