Bar Chart vertical

100%

Bar Chart vertical

✓ Published0🌍 Public

Last edited Nov 8, 2023

Created on Nov 8, 2023

This example renders a vertical bar chart from UN population data for 2019, displaying the top ten countries by population. The chart uses React to manage state and render SVG rectangles, while D3 utilities load and parse the CSV data. Specifically, `d3.csv` fetches the dataset, `scaleLinear` maps country names to the y-axis, and `scaleBand` maps population values to bar widths. The bars extend horizontally from the left edge, with the y-axis positioned vertically to show country rankings.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities, and uses React to render the data as a radial burst!

MIT Licensed

Similar vizzes

Loading thumbnail…

Bar Chart

This chart uses a horizontal bar layout to display the top 10 countries from the 2019 UN Population dataset. React manages the asynchronous data loading from a CSV file, while D3 scales—specifically `scaleBand` for the categorical country axis and `scaleLinear` for the population values—determine the bar positions and widths. The SVG rectangles are rendered directly by React, with each bar’s length proportional to the 2020 population estimate. D3’s `csv` utility parses the remote data file.

Yyejichun@naver.com

94% match

Loading thumbnail…

Bar Chart With D3

This example shows a horizontal bar chart of the top ten most populous countries in 2020, using UN population data loaded from a CSV file. React state manages the fetched data, while D3’s `scaleBand` and `scaleLinear` map country names and population values to SVG rectangles. The bars render from left to right, with no axes or labels. The code uses `d3.csv` for data loading and React functional components with the `useState` and `useEffect` hooks to trigger and store the asynchronous data fetch.

Ffjvoris

94% match

Loading thumbnail…

Bar Chart

This example visualizes the top 10 most populous countries as horizontal bars using React and D3 v5. The chart lacks axes, displaying only labeled bars with lengths proportional to each country’s 2020 population estimate. Data comes from the United Nations World Population Prospects 2019 CSV file, loaded via `d3.csv`. The code uses `d3.scaleBand` for vertical positioning, `d3.scaleLinear` for bar widths, and renders SVG elements within a React component using hooks.

YYohR

93% match

Loading thumbnail…

Bar chart

This example displays the top 10 most populous countries for 2020 as a horizontal bar chart, using rectangular SVG elements scaled by population size. The data comes from a UN Population CSV file, loaded with `d3.csv`. React manages the component state and rendering, while D3 v7 provides `scaleBand` for country positions on the y-axis and `scaleLinear` for population on the x-axis, with `max` determining the domain.

Ddanielscheeper@gmail.com

93% match

Loading thumbnail…

Bar chart UN data

This example shows a horizontal bar chart displaying the top ten countries by 2020 population, as sourced from UN population data. The bars are rendered as green SVG rectangles, with the bar lengths proportional to population values from the CSV file. Built with React and D3 v5, the chart uses D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. The visualization includes axis ticks, labels, and a gridline.

FFlorian Maas

93% match

Loading thumbnail…

bar_chart

This example shows a horizontal bar chart displaying the top 10 countries by population in 2020, based on data from a UN population CSV file. The chart uses React with hooks to load and process the data, and renders bars as SVG rectangles scaled with D3’s `scaleLinear` and `scaleBand`. Axis ticks are drawn using D3’s `ticks()` method, and both countries and population values are labeled directly within the visualization. The bars are vertically centered on each band using the scale’s `bandwidth()` function.

Ssagar limbu

93% match

Loading thumbnail…

Bar Chart

This example visualizes the top 10 most populous countries from the United Nations 2019 population dataset using a simple bar chart. Each country appears as a horizontal bar sized by its 2020 population estimate, rendered as SVG rectangles. The app loads the CSV data with `d3.csv`, scales the values using `scaleLinear` and `scaleBand`, and builds the bars through React components. The implementation uses React hooks like `useState` and `useEffect` to manage asynchronous data loading, with bars positioned vertically and extending horizontally according to population counts.

AAndres Perdomo

93% match

Loading thumbnail…

Bar Chart Rendering Data with React and D3

This example visualizes the top 10 most populous countries as horizontal bars, with each bar’s length proportional to its 2020 population estimate from the United Nations World Population Prospects. The React component manages state for the loaded data, while D3’s `scaleBand` positions countries along the y-axis and `scaleLinear` maps population values to bar widths on the x-axis. Data is fetched as CSV via `d3.csv`, and the chart renders as SVG `<rect>` elements within a React-rendered `<svg>` container.

AAriana

93% match