Skip to main content
SimilarExport ZIP
100%

The Pathetic Bar Chart

✓ Published1🌍 Public
Yyejichun@naver.com
Last edited Dec 19, 2021
Created on Dec 18, 2021

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.

AI-generated description

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

MIT Licensed

Similar vizzes

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…

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 visualizes the top 10 most populous countries in 2020 using data from the UN Population 2019 dataset. A horizontal bar encodes each country’s population with a rectangle, positioned along a band scale and scaled by a linear scale from D3. The React app loads the CSV via `d3.csv`, stores it in state with `useState`, and renders the SVG bars through React’s DOM. Once loaded, the chart appears, replacing an initial “Loading…” text.

AAnthonyAl-Rifai
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 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.

MMilena Belianovich Holtman
95% 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
94% match
Loading thumbnail…

Pathetic Bar Chart

This example displays the top 10 most populous countries as a set of horizontal bars, with no axes or labels, rendered as SVG rectangles sized by population from the United Nations World Population Prospects 2019. The React app loads the CSV data using d3.csv, sorts by the 2020 population estimate, and scales the bars with d3.scaleBand for vertical positioning and d3.scaleLinear for width. The bars fill the entire viewport, emphasizing the pathetic lack of any chart furniture, and the code uses React hooks like useState and useEffect to manage the asynchronous data loading.

TTrustPaul
94% match
Loading thumbnail…

Fork of Pathetic Bar Chart

This example visualizes the top 10 most populous countries as a bar chart, with each country’s bar length proportional to its 2020 population from the United Nations World Population Prospects 2019 dataset. The chart uses React with hooks (`useState`, `useEffect`, `useCallback`) to fetch CSV data via `d3.csv`, then renders SVG rectangles positioned using `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis. The visualization intentionally omits axes and labels, making it a "pathetic" bar chart. The code loads React and D3 v5 from CDNs and renders within a fixed 960×500 SVG.

JJohanna Magdalena
94% match