Axes with React & D3

100%

Axes with React & D3

✓ Published1🌍 Public

Last edited Sep 28, 2021

Created on Sep 28, 2021

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.

AI-generated description

A program that loads in some data using D3 uitilities, and uses React to render the data as a radial burst!

MIT Licensed

Similar vizzes

Loading thumbnail…

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

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Axes with React and D3

This example uses React to render a horizontal bar chart of the top 10 most populous countries from a UN population dataset loaded via D3's `csv` function. The SVG output displays bars sized by population, with x-axis ticks and country labels positioned using D3's `scaleBand` and `scaleLinear` scales, while React's `useState` and `useEffect` manage the asynchronous data loading and UI updates.

Vvangenned

96% match

Loading thumbnail…

Axes With React & D3

This bar chart displays the top 10 countries by 2020 population, with horizontal bars ranked vertically. The visualization uses React for component structure and state management, while D3’s `csv` loads and parses the UN population data, and `scaleLinear` and `scaleBand` map values to pixel positions. SVG elements—including `rect` bars and axis ticks—are rendered directly by React, with D3’s `max` and `ticks` methods driving the axis generation. The chart adapts to the browser window size and includes labeled axes.

BbeauMarko

96% match

Loading thumbnail…

Axes with React and D3

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, using React to render SVG elements while D3 provides scales and data loading. It uses `d3.csv`, `scaleBand`, `scaleLinear`, and `max` to process the UN Population 2019 dataset and compute the chart layout. Ticks from the x-axis are drawn manually with lines and text, while y-axis labels and rectangles are mapped directly from React state.

MMichael Bergerson

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Axes with D3 and React - Bar Chart

This bar chart displays the top 10 most populous countries in 2020 using D3 scales and React components. The code loads United Nations population data via `d3.csv`, slices the dataset, and renders SVG rectangles with `scaleBand` for the y-axis and `scaleLinear` for the x-axis. Axes are manually drawn by mapping tick values from `xScale.ticks()` and `yScale.domain()`, with React handling state through `useState` and `useEffect`. The visualization demonstrates combining D3’s data-driven utilities with React’s declarative rendering for interactive web graphics.

AAriana

96% match