Axes with React & D3

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 and D3

This example shows the top 10 most populous countries as a horizontal bar chart, using D3 scales and React state to render axes and bars as SVG elements. The x-axis is generated manually from `d3.scaleLinear().ticks()`, while the y-axis uses a `d3.scaleBand` domain, with both axes and rectangles rendered via React components. Population data comes from a CSV file loaded through `d3.csv` and filtered with `.slice(0, 10)`. The chart lacks axis labels and gridlines, but displays tick marks and country names positioned with SVG transforms.

LLainu Kuruvilla

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 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 displays the top 10 most populous countries as horizontal bars, emphasizing the lack of axes and scales to contextualize the values. React manages the component state, loading data from the United Nations World Population Prospects 2019 CSV via `d3.csv`, and rendering SVG rectangles. The code uses `scaleBand` and `scaleLinear` from D3 to position bars, though it omits any visual axis or tick labels, resulting in a minimal chart. The bars are drawn with fixed margins and dimensions, showing only relative population sizes without numerical reference points.

RRahul Gupta

Axes With React & D3

This example shows a horizontal bar chart of the top 10 most populous countries for 2020, using React to manage state and render SVG elements while D3 provides scales and tick generation. The code loads UN population data from a CSV via d3.csv, then uses d3.scaleBand for the y-axis countries and d3.scaleLinear for the x-axis population values. D3’s scale.ticks method generates the x-axis tick marks, which React maps to line and text elements within a transformed group.

PPratik Gohil

Axes with React & D3

This example shows a horizontal bar chart of the ten most populous countries in 2020, with countries listed on the y-axis and population totals on the x-axis. It combines React state management with D3 utilities, using `d3.csv` to load data and `scaleBand`, `scaleLinear`, and `max` to compute positions and scales. React renders the SVG elements, while D3 generates the tick marks and grid lines for both axes. The source data comes from a UN population dataset hosted as a CSV file.

SSabin Bhandari

Axes with React And D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, rendered as SVG elements created by React components. It loads UN population data from a CSV file using D3’s `csv` utility, then maps that data to scales built with `scaleBand` and `scaleLinear`. Axes are drawn manually by iterating over `xScale.ticks()` and `yScale.domain()`, producing grid lines and text labels. React manages state for the asynchronous data loading, while D3 provides the quantitative and categorical scales.

OOleg Zhernovoy