Fork of Pathetic Bar Chart

100%

Fork of Pathetic Bar Chart

✓ Published0🌍 Public

Last edited Sep 28, 2021

Created on Sep 28, 2021

This example visualizes the top 10 most populous countries as a primitive bar chart with no axes or labels, using horizontal rectangles whose widths encode each country’s 2020 population. The chart focuses solely on raw bar lengths, omitting scales or ticks for a deliberately minimal aesthetic. Built with React (using `useState` and `useEffect`) and D3 v5, it loads CSV data from a GitHub Gist via `d3.csv`, transforms the population column to a number, and slices the first 10 rows. D3’s `scaleBand` positions the bars vertically, while `scaleLinear` maps population values to pixel widths, and React renders each bar as an SVG `<rect>`.

AI-generated description

A program that shows the top 10 most populous countries as a pathetic bar chart with no axes.

Data: United Nations World Population Prospects 2019.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Pathetic Bar Chart

This example visualizes the top 10 most populous countries as a bar chart, using rectangle widths proportional to each country’s 2020 population estimate from the United Nations World Population Prospects 2019. The chart intentionally omits axes and labels, presenting only bare colored bars against a plain background. Built with React and D3 v5, the code uses `d3.csv` to load the data, `scaleBand` for the vertical positioning of countries, and `scaleLinear` for the horizontal bar lengths. All bars are rendered as SVG `<rect>` elements within a React component, with each bar’s width derived from the maximum population value.

GGeekboxer

96% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example visualizes the top 10 most populous countries as a bar chart with no axes, using raw rectangle widths to encode population values. The bars render via React components inside an SVG, with scales created using d3.scaleBand and d3.scaleLinear. Data loads asynchronously from a CSV of United Nations World Population Prospects 2019, filtered to the first ten rows after fetching with d3.csv. The chart intentionally omits axes and labels, presenting only the bar lengths as a minimal, "pathetic" representation of population distribution.

HHAORAN CHEN

96% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example visualizes the ten most populous countries as a minimalist bar chart with no axes, using rectangles whose widths encode population values. The chart is built with React and D3 v5, where `d3.csv` loads United Nations World Population Prospects 2019 data, `scaleBand` positions countries vertically, and `scaleLinear` maps population to horizontal bar lengths. Each bar is rendered as an SVG `<rect>` inside a React component, with state managing the asynchronous data loading. The visualization intentionally omits labels and gridlines, emphasizing raw proportional differences between countries.

JJohn Vance

96% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays a bar chart of the top 10 most populous countries, using raw rectangles with no axes or labels. Built with React and D3 v5, it loads population data from the United Nations World Population Prospects 2019 via `d3.csv`, sorts the first ten rows, and maps values using `scaleBand` and `scaleLinear`. The visualization renders as SVG, with bar widths proportional to 2020 population estimates, though the geometric primitives are intentionally left bare.

JJean David

95% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example visualizes the top 10 most populous countries as a "pathetic" bar chart with no axes, labels, or gridlines—just raw rectangles scaled by population. The code uses React hooks (`useState`, `useEffect`) to load and manage data, while importing `csv`, `scaleBand`, `scaleLinear`, and `max` from D3 v5 to parse the United Nations World Population Prospects 2019 dataset and compute bar widths. Bars are rendered as SVG `<rect>` elements, with the x-scale mapping population values to pixel widths and the y-scale positioning each country’s bar vertically. The chart intentionally omits all chart furniture, leaving only the visual proportions of the data.

Bbencooper6851

95% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example shows the top 10 most populous countries as a set of horizontal rectangles, with lengths proportional to each country’s 2020 population, and no axes or labels. The visualization uses React with React hooks—`useState` and `useEffect`—to load a CSV from the United Nations World Population Prospects 2019 via `d3.csv`, then slices the first ten rows. Scaling relies on `d3.scaleBand` for vertical positioning and `d3.scaleLinear` for bar widths, with the SVG rendered declaratively through React’s JSX.

MMathieuSchaff

95% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example visualizes the top 10 most populous countries as a "pathetic" bar chart, displaying horizontal bars without any axes or labels. The bar lengths encode each country’s 2020 population, taken from the United Nations World Population Prospects 2019 dataset, which is loaded via `d3.csv`. The visualization uses React’s `useState` and `useEffect` hooks to fetch and store the data, then renders SVG rectangles with `d3.scaleBand` for the y-axis positions and `d3.scaleLinear` for the x-axis widths. The chart intentionally omits tick marks, gridlines, and value text, leaving only unsorted, unadorned bars.

AArkadiusz Zabicki

95% 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

95% match