Fork of Axes with React & D3

Fork of Axes with React & D3

This example visualizes the top 10 most populous countries as a horizontal bar chart with axes, using React for component structure and D3 for data loading and scales. The chart displays population values from the United Nations World Population Prospects 2019 dataset on the x-axis, while country names appear on the y-axis. The code uses D3’s `csv`, `scaleBand`, `scaleLinear`, and `max` functions to process data and position bars, with tick marks and labels generated manually via `xScale.ticks()`. All elements are rendered as SVG through React’s declarative JSX, with margins applied via a transform group.

Mmedi11

Fork of Axes with React & D3

This example displays the top 10 most populous countries as horizontal bars, with a quantitative x-axis and a categorical y-axis. It uses React for the component structure and D3 v5’s `scaleBand` and `scaleLinear` to map country names and population values to pixel coordinates, while D3’s `csv` loads United Nations World Population Prospects 2019 data. The chart is rendered as SVG, with axis tick marks, labels, and rectangles generated from D3 scales and rendered via React elements.

FFernando Millan

Fork of Axes with React & D3

This example displays the top 10 most populous countries as a horizontal bar chart, using React to render SVG elements and D3 (v5) for scales and data loading. The `xScale` and `yScale` are created with `scaleLinear` and `scaleBand`, while custom `AxisBottom` and `AxisLeft` components generate tick marks and labels. Data comes from the United Nations World Population Prospects 2019 CSV, loaded via D3’s `csv` function, and is sliced to the first ten rows for display.

Jjth500

Fork of Axes with React & D3

This example displays the top 10 most populous countries as horizontal bars, with axis ticks and labels rendered manually. The React component loads data from the UN World Population Prospects 2019 CSV via `d3.csv`, then uses `scaleBand` and `scaleLinear` to position bars and axes. D3’s `xScale.ticks()` generates grid lines, while SVG text elements draw tick labels. Rendering is done through React’s JSX within an SVG, replacing D3’s direct DOM manipulation.

RRahel Gunaratne

Fork of Axes with React & D3

This example displays the top 10 most populous countries as a horizontal bar chart labeled with axes. It uses React hooks (useState, useEffect) to fetch and load CSV data from the United Nations World Population Prospects 2019, then renders bars via SVG rectangles. D3’s scaleBand and scaleLinear position the bars, while manually generated ticks and labels create the x and y axes without d3.axis. The chart updates after loading, with React managing the component state and D3 handling the data scaling and formatting.

NNick Hu

Fork of Axes with React & D3

This example shows the top 10 most populous countries as a bar chart with manually drawn axes, rendered as SVG. The code uses React hooks (useState and useEffect) to fetch and load CSV data from the United Nations World Population Prospects 2019 via d3.csv, then scales the bars with d3.scaleBand and d3.scaleLinear. Axes are constructed from xScale.ticks() and yScale.domain() to render gridlines, tick labels, and values. The visualization is purely declarative, with React managing the SVG elements and D3 handling data parsing and scales.

AAllen Wong

Fork of Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries, with a y-axis showing country names and an x-axis with tick marks and labels. The chart is built using React and D3 v5, with data loaded from the United Nations World Population Prospects 2019 dataset via `d3.csv`. React components render SVG elements for bars and axes, while D3’s `scaleBand` and `scaleLinear` handle the positioning and scaling of the visual encodings.

Kkan qiu

Fork of Axes with React & D3

This example displays the top 10 most populous countries as a horizontal bar chart with custom axes, using React for component state and rendering. It loads data from the United Nations World Population Prospects 2019 CSV via `d3.csv`. Scales are created with `d3.scaleBand` and `d3.scaleLinear`, while axes ticks are manually generated using `xScale.ticks()` and rendered as SVG lines and text. The chart updates asynchronously, showing a loading message until data arrives.

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