Skip to main content
SimilarExport ZIP
100%

Axes with React & D3

✓ Published1🌍 Public
KKevin McMorrow
Last edited Sep 21, 2021
Created on Sep 21, 2021

A bar chart displays population data for ten countries from a UN 2019 CSV file. The visualization combines React for component structure and state management with D3 for scales and rendering in SVG. D3’s `csv`, `scaleBand`, and `scaleLinear` handle data loading and axis mapping, while React’s `useState` and `useEffect` manage asynchronous loading. The chart includes labeled x-axis ticks and y-axis country names, with rectangular bars sized proportionally to population values.

AI-generated description

Mouse Follower

MIT Licensed

Similar vizzes

Loading thumbnail…

Axes with React & D3

This example uses React with D3 to display a horizontal bar chart of 2019 UN population data for the top ten countries. It loads the CSV data with the `csv` utility, scales the population values with `scaleLinear` for the x-axis and country names with `scaleBand` for the y-axis, and renders SVG rectangles for the bars. The chart’s axes are drawn using D3’s scale methods, with tick labels positioned via SVG text elements. Rendering is handled through React state and the `ReactDOM.render` method.

Kkosakase
95% match
Loading thumbnail…

Axes with React & D3

A bar chart displays United Nations population estimates for 2020 across ten countries, with country names on the y-axis and population values on the x-axis. The example integrates React (using `useState` and `useEffect` hooks) with D3 utilities, including `csv`, `scaleBand`, `scaleLinear`, and `max`. D3 loads the CSV data and computes scales, while React renders SVG elements—axis ticks, labels, and rectangles—within a single `<g>` group. The chart uses rendered SVG with manual gridlines and text labels.

WWilliam Couturiaux
95% match
Loading thumbnail…

Axes with React & D3

This example shows a horizontal bar chart of UN population data for ten countries in 2020, rendered as SVG using React and D3. The React component manages the loaded CSV data with `useState` and `useEffect`, while D3’s `csv`, `scaleBand`, `scaleLinear`, and `max` utilities handle data loading and scaling. Axes are drawn manually by iterating over `xScale.ticks()` and the y-scale domain, with tick labels and lines positioned via transforms. The bars are `rect` elements sized by the scales within a translated group.

Bbakstorage00001
95% match
Loading thumbnail…

Axes with React & D3

This example shows a horizontal bar chart comparing the population of ten countries from a UN 2019 dataset, rendered as SVG via React components. The chart displays country names on the y-axis and population values on the x-axis, with axes and marks built from reusable React components. The code uses D3’s `scaleBand` and `scaleLinear` for positioning, `csv` for data loading, and React’s `useState`/`useEffect` hooks for state management. Axis labels and ticks are generated manually from the scales, while bars are drawn as `<rect>` elements per data row.

NNikhil Sharma
95% match
Loading thumbnail…

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
95% match
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
95% match
Loading thumbnail…

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
94% match
Loading thumbnail…

Axes with React & D3

This example combines React and D3 to create a horizontal bar chart of UN population data for 2019. Using React’s `useState` and `useEffect` hooks, it loads a CSV via D3’s `csv` function, then applies `d3.scaleBand` and `d3.scaleLinear` to map the top ten countries and their populations. SVG rectangles and text elements are generated as React components, with D3’s `ticks()` method driving the x-axis line and label placement.

JJakub
94% match