Skip to main content
SimilarExport ZIP
100%

Pathetic Bar Chart

✓ Published1🌍 Public
MMilena Belianovich Holtman
Last edited Oct 12, 2022
Created on Oct 12, 2022

This example uses React and D3 to render a horizontal bar chart of the ten most populous countries from a UN population dataset. The visualization shows country names on the y-axis and population totals on the x-axis, with each bar’s length proportional to its population value. The code loads CSV data via `d3.csv`, assigns ordinal y-axis scales using `d3.scaleBand`, and a linear x-axis scale constructed with `d3.scaleLinear` and `d3.max`. React’s `useEffect` hook triggers the asynchronous data fetch, and the final SVG is built by mapping over the data to output `rect` elements.

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…

Pathetic Bar Chart

This example uses React and D3 v5 to render a bar chart of the ten most populous countries in 2020, based on UN population data loaded via `d3.csv`. The `scaleBand` and `scaleLinear` D3 scales map country names to vertical positions and population to horizontal bar widths, while React components generate the SVG `<rect>` elements. The visualization updates from a loading state to the final chart once the asynchronous data fetch completes.

Mmscoop16
96% match
Loading thumbnail…

Pathetic Bar Chart

This example presents a bar chart of the ten most populous countries in 2020, sourced from a UN population dataset loaded via D3’s `csv` utility. The visualization uses React state to hold the parsed data, and D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, which map country names and population values to SVG rectangles. The chart renders within an SVG element, with each bar’s width proportional to its population, while the interface displays a loading message until the data arrives.

NNigel
96% match
Loading thumbnail…

Pathetic Bar Chart

This example displays the top 10 most populous countries as horizontal bars, using a United Nations population dataset loaded via `d3.csv`. The bars render in SVG, with `d3.scaleBand` positioning each country along the y-axis and `d3.scaleLinear` mapping population values to bar widths on the x-axis. React manages the data state and renders each rectangle, while D3 handles the scaling and data parsing.

RRajat Dangat
95% match
Loading thumbnail…

Pathetic Bar Chart

A horizontal bar chart displays the ten most populous countries for 2020, with bars extending from the left edge and country labels on the y-axis. The visualization loads UN population data from a CSV file using D3’s `csv` utility, then processes it with React’s `useEffect` and `useState` hooks. React renders the SVG shapes, while D3’s `scaleBand` positions the categorical y-axis and `scaleLinear` maps population values to bar widths, with `max` determining the domain extent.

TTroy Marchesseault
95% match
Loading thumbnail…

Pathetic Bar Chart

This bar chart displays the ten most populous countries in 2020 using UN population data. The visualization loads the CSV dataset with D3’s `csv` utility and renders horizontal bars through React components in SVG. D3’s `scaleBand` and `scaleLinear` map country names to vertical positions and population values to bar widths, while React’s `useState` and `useEffect` hooks manage data fetching and component state.

WWilliam Couturiaux
95% match
Loading thumbnail…

Pathetic Bar Chart

This example visualizes the ten most populous countries in 2020 as a horizontal bar chart, using bars that stretch across the screen without axes or labels. The chart loads UN population data from a CSV file via `d3.csv`, then processes each row to extract the 2020 population as a number. React’s `useState` and `useEffect` hooks manage the asynchronous data loading and component state, while D3’s `scaleBand` and `scaleLinear` position the bars along the y-axis and scale their widths. The bars are rendered as SVG `<rect>` elements using React’s declarative JSX syntax.

Jjanneprice
95% match
Loading thumbnail…

The Pathetic Bar Chart

This visualization displays the top ten most populous countries in 2020 as horizontal bars, with each country’s bar length proportional to its population. Using React state to manage data loading, the code fetches a CSV of UN population data via `d3.csv`, then renders SVG rectangles positioned by `d3.scaleBand` and sized by `d3.scaleLinear`. The bars are plain rectangles without labels or axes, hence the “pathetic” title. React’s `useEffect` and `useState` hooks drive the asynchronous data fetch and rendering.

Yyejichun@naver.com
95% match
Loading thumbnail…

Pathetic Bar Chart

This example, titled "Pathetic Bar Chart," displays the top ten countries by population from a 2021 UN dataset, loaded via `d3.csv`. It renders a simple horizontal bar chart where each bar's width is proportional to population, using React components to create SVG rectangles. The code employs D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, with data mapping handled directly in the React render. The visualization is intentionally minimal, showing raw population values without labels or axes, highlighting the contrast between the data’s significance and the stark presentation.

TTakashi-KK
94% match