Axes with D3 and React - Bar Chart

Axes with React & D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, using React to render the SVG elements and D3 to load and scale the data. The code uses `d3.csv` to fetch UN population data, `d3.scaleBand` for the categorical y-axis, `d3.scaleLinear` for the numeric x-axis, and manually generates axis ticks with `xScale.ticks()`. D3’s `max` helper computes the domain, while React manages the loading state and maps data points to `<rect>` and `<text>` elements.

Yyejichun@naver.com

Axes with React & D3

A React and D3 bar chart displays the top 10 most populous countries using UN population data from 2019, with bars representing 2020 projections. The visualization includes custom axes built manually through React components, using `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the numeric x-axis. D3's `csv` loader fetches the dataset, while tick marks are generated via `xScale.ticks()`. The SVG rendering maps each country's population to bar widths, with axis labels positioned using React's JSX syntax.

TThiago Sawada

Axes with React & D3

A bar chart displays the top 10 most populous countries using data from the United Nations World Population Prospects 2019. The React component fetches the CSV with `d3.csv`, converts the population column to numbers, and slices the data. It builds scales with `d3.scaleBand` for countries and `d3.scaleLinear` for population values. Custom axes are rendered as SVG `<g>` elements, with `xScale.ticks()` generating grid lines and tick labels, while y-axis labels are positioned manually. The visualization uses React state with `useState` and `useEffect` to manage asynchronous loading, and renders all marks as SVG `<rect>` elements.

Ggcappadaniel

Axes with React & D3

This bar chart displays the top 10 most populous countries from a UN population dataset, with horizontal bars showing population values in 2020. React renders the SVG elements, managing the loading state and data transformation, while D3 v7 handles the data fetching via `csv()` and generates the axes using `scaleBand` and `scaleLinear`. The code manually creates tick marks for both axes, drawing lines and text labels within the transformed coordinate system.

EEFezerKW

Axes with React and D3

A bar chart displays the ten most populous countries in 2020 using React to render SVG elements and D3 utilities for data loading and scales. The code fetches UN population data via `d3.csv`, maps it with a custom row function, and applies `scaleBand` and `scaleLinear` to position and size rectangles. Custom tick lines are generated manually from `xScale.ticks()`, while React’s `useState` and `useEffect` manage the asynchronous loading state.

XXingming Xu

Axes with React & D3

This example displays the ten most populous countries for 2020 as a horizontal bar chart, using United Nations population data fetched as CSV. The visualization is built by combining React for declarative SVG rendering with D3 utilities for data processing and layout. The code uses `d3.csv` to load and parse the data, `d3.scaleBand` to position each country along the y-axis, and `d3.scaleLinear` with `d3.max` to map population values to bar widths. The chart renders inside a React component that manages the loading state and constructs the SVG output.

Ee-ines

Axes with React & D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, as loaded from a CSV file of UN population data. The visualization uses D3’s `scaleBand` and `scaleLinear` to map country names and population values to SVG coordinates, while React manages the component state and renders the chart. Axes are drawn with D3 ticks and gridlines, and the bars are `rect` elements sized by the linear scale. The data fetching and parsing are performed with D3’s `csv` method inside a React `useEffect` hook.

KKolezhannochka

Axes with React & D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, rendered with React components as SVG elements. The code loads the UN population dataset asynchronously using `d3.csv`, then uses `scaleBand` and `scaleLinear` to position bars and generate tick marks for both axes. React manages the loading state and renders the chart only after data arrives. Custom axis lines and labels are created manually from the scales' tick values, avoiding the D3 axis component altogether.

MMorgan Worrell