Fork of Pathetic Bar Chart

100%

Fork of Pathetic Bar Chart

✓ Published0🌍 Public

Last edited Jan 1, 2022

Created on Jan 1, 2022

This visualization displays the top 10 most populous countries as a bare bar chart with no axes, using rectangular bars proportional to each country’s 2020 population. The chart loads data from the United Nations World Population Prospects 2019 CSV, then uses `d3.csv`, `scaleBand`, `scaleLinear`, and `max` to map country names and population values to SVG rectangles. React manages the component state and rendering, while D3 handles the data processing and scales. The bars render in an SVG canvas with no labels or gridlines, focusing purely on the relative population sizes.

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 visualization displays the top 10 most populous countries as a series of horizontal bars with no axes, using data from the United Nations World Population Prospects 2019. Each rectangle’s width encodes the country’s 2020 population via `d3.scaleLinear`, while its vertical position relies on `d3.scaleBand`. The React component loads the CSV with `d3.csv`, slices the first ten rows, and renders SVG rectangles. The chart intentionally omits labels and scales, presenting a minimal, decontextualized view of population ranking.

FfaridTalmat

97% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a bare bar chart with no axes, using rectangular bars whose widths encode each country’s 2020 population. It loads data from the UN World Population Prospects 2019 via `d3.csv` and sorts the first ten rows. The visualization uses React’s `useState` and `useEffect` to fetch and store data, then renders SVG rectangles positioned with `d3.scaleBand` on the y-axis and scaled with `d3.scaleLinear` based on the maximum population. The chart lacks labels, tick marks, or any annotation, emphasizing its intentionally minimal design.

KKNJour

97% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example shows the top 10 most populous countries as a bare bar chart with no axes or labels, using rectangles whose widths encode population. The visualization fetches data from the United Nations World Population Prospects 2019 CSV, then sorts and slices it to the first ten rows inside a React component. It uses d3.csv for loading, d3.scaleBand for the vertical country positioning, and d3.scaleLinear for the horizontal population values, rendering the output as SVG via React elements.

Aanandbabu-k

97% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This visualization displays the top 10 most populous countries as horizontal bars, with bar width proportional to 2020 population estimates from the United Nations World Population Prospects 2019. React manages the component state while D3’s `csv` loads the data, `scaleBand` positions bars vertically, and `scaleLinear` maps population values to pixel widths. The SVG rectangles are rendered without axes or labels, creating a minimal, chart-like presentation where the lack of scales emphasizes raw data magnitude.

DDanier

97% match

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

97% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a set of horizontal bars, lacking any axes or labels. The bar lengths encode each country’s 2020 population estimate from the United Nations World Population Prospects 2019 dataset. React manages the component state and rendering, while d3.csv loads and parses the data, and d3.scaleBand and d3.scaleLinear map the country names and population values to SVG rectangle positions and widths. The visualization updates asynchronously after the CSV file is fetched.

TTrevor McReynolds

97% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a bar chart with no axes, using React to render SVG rectangles. The bars are sized proportionally to each country’s 2020 population, with blue vertical gridlines drawn from the linear scale’s ticks. Data comes from the United Nations World Population Prospects 2019, loaded via d3.csv and processed with scaleBand and scaleLinear. The visualization relies on React hooks (useState, useEffect) to fetch and store the data, while d3.v5 provides the scales and max function.

SSabbir

96% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a bare bar chart with no axes or labels, rendered as SVG rectangles. The React component fetches United Nations World Population Prospects 2019 data via d3.csv, then uses d3.scaleBand for the y-axis positioning and d3.scaleLinear with d3.max to map population values to bar widths. The visualization relies on React hooks—useState and useEffect—to load and slice the data, while d3.v5 and React 16.9 render the chart through ReactDOM.

JJean David

96% match