Skip to main content
SimilarExport ZIP
100%

Bar Chart

✓ Published1🌍 Public
SSai Phaltankar
Last edited May 29, 2022
Created on May 29, 2022

This example shows a horizontal bar chart of the top 10 countries by population, with each bar’s length representing the 2020 population estimate. The bars are rendered as SVG `<rect>` elements using React, with scales from `d3.scaleBand` for the country categories and `d3.scaleLinear` for the population values. Data is loaded asynchronously from a CSV file using `d3.csv`, which parses the population column as numbers before the chart updates. The visualization combines D3’s data-loading and scaling utilities with React’s declarative component structure.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities, and uses React to render the data.

MIT Licensed

Similar vizzes

Loading thumbnail…

Bar Chart

This bar chart displays the top 10 countries by estimated 2020 population, with horizontal bars whose lengths correspond to population values. The React component loads data from a CSV file using d3.csv, then scales the bars with d3.scaleBand for the categorical y-axis and d3.scaleLinear for the quantitative x-axis. Each bar is rendered as an SVG rectangle, with width mapped from the population field. The chart includes a loading state while data is fetched asynchronously.

MMark Lam
96% match
Loading thumbnail…

Bar Chart

A horizontal bar chart displays the top 10 countries by population in 2020, using data from a CSV file loaded via `d3.csv`. React renders SVG `<rect>` elements, positioning each bar with `d3.scaleBand` and scaling widths with `d3.scaleLinear` and `d3.max`. The bars appear in descending population order without axes or labels. The example demonstrates integrating D3 data loading and scales with React’s component-based rendering for a simple SVG visualization.

GGuus Lammers
95% match
Loading thumbnail…

Bar Chart D3

This example displays a horizontal bar chart of the top ten countries by 2020 population, using bars that scale in length according to each country's population value. The visualization loads data from a CSV file via D3's `csv` utility and manages the data with React's `useState` and `useEffect` hooks. It renders SVG rectangles positioned using D3's `scaleBand` for the y-axis and `scaleLinear` for the x-axis, all within a fixed 960 by 500 pixel canvas.

Ccynichole
95% match
Loading thumbnail…

Bar Chart 1

This bar chart displays the top 10 countries by their 2020 population, with each country’s population represented by a horizontal bar’s length. The visualization uses React’s `useState` and `useEffect` hooks to asynchronously load CSV data, while d3’s `csv` parser and `scaleBand`/`scaleLinear` functions map country names and population values to screen coordinates. The bars are rendered as SVG `<rect>` elements, with the data sourced from a GitHub Gist and displayed once loading completes.

AAndres Perdomo
95% match
Loading thumbnail…

Bar chart

This bar chart displays the top 10 countries by population for 2020, using horizontal rectangles whose widths are proportional to each country’s population. The visualization is built with React and D3 v7, leveraging `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Data is loaded asynchronously from a CSV file via `d3.csv`, filtered to the first ten rows, and rendered as SVG `<rect>` elements. The chart updates reactively once the data arrives, showing a loading message initially.

Aafcchilders
95% match
Loading thumbnail…

Country Population Bar Chart

This example shows a horizontal bar chart of the top ten countries by 2020 population, ordered from largest at the top to smallest at the bottom. The bars are rendered as SVG `rect` elements inside a React component, with scales created using `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis. Data is loaded asynchronously from a CSV file using `d3.csv`, with the population column coerced to numeric values. The chart uses React state and the `useEffect` hook to fetch and transform the data before rendering.

BBen Brophy
94% match
Loading thumbnail…

Making a Bar Chart

This example presents a horizontal bar chart of the top 10 countries by population in 2020, using data loaded from a CSV file. The visualization is built with React, which renders SVG elements, while D3 utilities handle data processing and scales. The code uses `scaleBand` for the categorical country axis and `scaleLinear` for the population value axis, mapping data to rectangle dimensions. The chart loads data via `csv` and updates reactively once the data arrives, displaying "Loading..." until then.

Llefat92
94% match
Loading thumbnail…

bar chart

This bar chart displays the top 10 countries by 2020 population, with horizontal bars encoded by length and ordered by country name. The visualization uses React to manage state and render SVG elements, while D3 v7 handles data loading via `csv()` and scales through `scaleBand` and `scaleLinear`. Population data comes from a UN gist CSV file. Loading text appears until data arrives, and the chart currently lacks axis labels or text annotations.

MMalcolm Mead
94% match