Chart

100%

✓ Published0🌍 Public

Last edited Dec 29, 2021

Created on Dec 29, 2021

A horizontal bar chart displays the ten most populous countries for 2020, with country names on the y-axis and population lengths on the x-axis. It loads data from a CSV using d3.csv and renders SVG rect elements scaled by d3.scaleBand and d3.scaleLinear. React manages the component state, updating the visualization once the data arrives.

AI-generated description

A program that follows your mouse with a circle.

MIT Licensed

Similar vizzes

Loading thumbnail…

Simple Bar Chart

This example shows a simple horizontal bar chart ranking the ten most populous countries for 2020, with the length of each bar proportional to the country’s population. The chart is rendered as SVG using React, with d3.csv loading the United Nations World Population Prospects 2019 dataset and d3.scaleBand and d3.scaleLinear mapping country names and population values to positions and bar widths. React’s useState and useEffect manage the asynchronous data loading and state updates, while the bars themselves are drawn as SVG `<rect>` elements.

Ttorstenaan

90% match

Loading thumbnail…

Bar Chart with React & D3

A horizontal bar chart displays the ten most populous countries in 2020, drawn as SVG rectangles. The React component loads CSV data via D3’s `csv` utility, then uses `scaleBand` for country positions and `scaleLinear` for population values. Grid lines and axis labels are generated from the x-scale’s `ticks()`. The chart updates reactively through React’s `useState` and `useEffect` hooks, with D3 v5 handling data loading and scaling while React manages the SVG rendering.

SSergey Shulzhenko

90% match

Loading thumbnail…

Refactored Bar Chart

A horizontal bar chart displays the ten most populous countries in 2020, sorted by population, with value labels on the x-axis and country names on the y-axis. The example loads CSV data via `d3.csv` and manages asynchronous state with React’s `useState` and `useEffect`. It renders SVG bars, axes, and tick labels using React components, while D3’s `scaleBand` and `scaleLinear` compute the layout. The chart uses D3 v7 with React 16.9, loading both libraries from a CDN.

TTaeyoung Ahn

90% match

Loading thumbnail…

Bar Chart Creation

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, using a D3 scaleBand for the y-axis and a scaleLinear for the x-axis. Built with React, it loads CSV data via d3.csv and renders SVG rectangles for each bar. The chart includes formatted population labels on the bottom axis using d3.format, with axis components defined in separate React files. The x-axis label, axis ticks, and bar styling are all customized through CSS classes.

KKtuzinowski

90% match

Loading thumbnail…

bar chart using react and d3

This example shows a horizontal bar chart of the ten most populous countries for 2020, using population data loaded from a CSV file. The chart is rendered as SVG within a React application, with each bar’s length proportional to the country’s population. The code uses React’s `useState` and `useEffect` hooks to fetch and parse the data with `d3.csv`, then employs `d3.scaleBand` and `d3.scaleLinear` to map countries and population values to the chart’s dimensions.

BBrian Machado

90% match

Loading thumbnail…

Bar Chart

This bar chart displays the populations of the ten most populous countries, with horizontal bars ordered by country name. The visualization reads population data from a CSV file and renders it as SVG using React and D3 v5. The code leverages D3’s `csv` loader, `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft`/`axisBottom` to generate the chart’s axes.

JJoshuaBruens

90% match

Loading thumbnail…

Bar chart

This bar chart displays the populations of ten countries in 2020, sorted by country name. Using React and D3 v5, it renders SVG rectangles via a scaleBand for the categorical y-axis and a scaleLinear for the numerical x-axis. The data loads from a CSV via d3.csv. Axes are custom components, and hover tooltips use native SVG `<title>` elements with formatted population values.

TTakuya Kitazawa

89% match

Loading thumbnail…

Bar Chart with React & D3

This visualization displays the ten most populous countries in 2020 as a horizontal bar chart, where bar length encodes population size. The code uses React hooks (useState, useEffect, useCallback) to manage asynchronous data loading via d3.csv, which fetches UN population data from a GitHub gist. D3 scales (scaleBand for countries, scaleLinear for population totals) position the SVG rectangles rendered as React components. While the HTML loads React and D3 from CDNs, the visible chart omits axes, labels, and color, showing only raw bars against a white background.

SSarah Elkeurti

89% match