Axis with React & D3

Axis with React and D3

This example displays the top 10 most populous countries as a horizontal bar chart with axes, using React components to render SVG elements. The `useData` hook loads the UN World Population Prospects 2019 CSV and parses the population column. D3 scales (`scaleBand`, `scaleLinear`) map data to coordinates, while custom `AxisBottom` and `AxisLeft` components generate tick marks and labels. React passes scales and data as props to these components, which use D3’s `ticks()` and domain methods to create the axis visuals.

Iinnocent thomas

Axis with React & D3

This visualization displays the top 10 most populous countries as a horizontal bar chart, with axes rendered using React components that call D3 scales. It uses d3.csv to load population data from the United Nations World Population Prospects 2019, d3.scaleBand and d3.scaleLinear to map countries and population values, and maps over xScale.ticks() to generate gridlines and tick labels. The chart is composed of SVG elements inside a React functional component, with each rect, line, and text element created imperatively.

11tang

Axes with React & D3

This example displays the top 10 most populous countries as a horizontal bar chart with axes, using React for component structure and D3 for scales and rendering. The code explicitly builds x-axis ticks with `xScale.ticks()` and y-axis labels from the scale’s domain, drawing SVG lines and text elements. It loads data from the United Nations World Population Prospects 2019 via `d3.csv`, applies a linear scale for population and a band scale for countries, and renders the chart as SVG within a React component.

YYibo Zhang

Axes with React & D3

This example shows the top 10 most populous countries from the United Nations World Population Prospects 2019 as a bar chart with axes. It uses React state to load CSV data via d3.csv, then renders SVG rectangles and axis ticks manually with d3.scaleBand, d3.scaleLinear, and d3.max. The x-axis ticks are generated from xScale.ticks(), with grid lines and labels, while the y-axis displays country names.

WWolfgang

Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries, using React with D3 to render SVG axes and bars. The chart reads population data from a CSV file sourced from the United Nations World Population Prospects 2019, and uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the numeric x-axis. Axes are manually constructed by iterating over `xScale.ticks()` and the y-scale domain, drawing lines and text elements. React manages the component state and lifecycle, while D3 performs data loading and scaling.

FFinn Pauls

Axes with React & D3

This example shows the top 10 most populous countries as horizontal bars, with an x-axis of population ticks and y-axis country labels, all rendered as SVG. The chart is built using React for state and component structure, while D3 v5 functions (`d3.scaleBand`, `d3.scaleLinear`, `d3.max`) handle scaling and tick generation. Data is loaded asynchronously from a CSV of United Nations World Population Prospects 2019, and the axes are manually positioned inside a transformed `<g>` element.

CCurran Kelleher

Axes with React & D3

This example shows the top 10 most populous countries as a horizontal bar chart. React manages the component state and SVG rendering, while D3 provides the scales and data loading. The chart maps country names to a `scaleBand` for the y-axis and population values to a `scaleLinear` for the x-axis. Ticks for both axes are manually generated using `xScale.ticks()` and the domain of the y-scale, with population data sourced from the United Nations World Population Prospects 2019 CSV via `d3.csv`.

Ccoltonjcox92

Axis with React & D3

This example shows a horizontal bar chart ranking the ten most populous countries in 2021, with labeled axes for population counts and country names. It loads UN population data from a CSV file using D3’s `csv` utility, then passes the parsed data to React state. React renders the SVG, while D3’s `scaleBand` and `scaleLinear` position bars and ticks, and `xScale.ticks()` generates gridline labels. The chart is fully SVG-based, with a margin group translating the plot area.

TTakashi-KK