Fork of Pathetic Bar Chart

100%

Fork of Pathetic Bar Chart

✓ Published0🌍 Public

Last edited Mar 29, 2021

Created on Mar 29, 2021

This visualization displays a bar chart of the 10 most populous countries, with each bar’s length proportional to its 2020 population estimate from the United Nations World Population Prospects 2019 dataset. Rendering as SVG via React, the code uses `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. It loads CSV data with `d3.csv`, parses the population column, and maps each country to a `<rect>` element, notably omitting any axes or labels.

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 ten most populous countries as a set of horizontal bars with no axes, labels, or other chart furniture. The bars are rendered as SVG rectangles using React, with their widths scaled linearly by each country’s 2020 population estimate from the United Nations World Population Prospects dataset. The code uses d3.csv to load the data, d3.scaleBand for the vertical positioning of each country, and d3.scaleLinear for mapping population to bar width. The chart updates once the data arrives, showing a "Loading..." state initially.

AAvonlea Fisher

95% 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

95% 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

95% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This visualization displays the ten most populous countries as horizontal bars, with no axes or labels, scaled proportionally to their 2020 population estimates from the United Nations World Population Prospects 2019 dataset. The React app fetches CSV data using d3.csv, then uses d3.scaleBand for the y-axis positioning and d3.scaleLinear with d3.max for the x-axis scaling. Each country is rendered as an SVG rectangle element within a fixed 960x500 canvas, with a simple loading message shown before data arrives.

Vvigneswaran009

95% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This chart displays the top 10 most populous countries as horizontal bars, with bar length proportional to each country’s 2020 population estimate. The visualization intentionally omits axes and labels, focusing solely on relative magnitudes. It loads data from the United Nations World Population Prospects 2019 CSV, filters to the first ten rows, and renders using React with SVG `rect` elements. The code employs D3 v5’s `scaleBand` for the categorical y-axis placement and `scaleLinear` for mapping population values to pixel widths.

AAnu Wat

95% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example visualizes the top 10 most populous countries as a bar chart, with each bar’s length representing the 2020 population estimate. Drawn using React and D3 v5, the SVG renders rectangles positioned via `scaleBand` along the y-axis and scaled by `scaleLinear` on the x-axis. No axes are drawn; the chart intentionally appears minimal. Data comes from the United Nations World Population Prospects 2019, loaded as CSV and sliced to the first ten rows.

Hharika-1929

95% match

Loading thumbnail…

Fork of Pathetic Bar Chart

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.

Aavneet12284

95% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This fork of the Pathetic Bar Chart displays the ten most populous countries using population data from the United Nations World Population Prospects 2019. The visualization renders horizontal bars without axes or labels, using React for component structure and d3.scaleBand and d3.scaleLinear to map countries and populations to SVG rectangles. The data is loaded asynchronously via d3.csv and limited to the first ten rows. The chart updates from a loading state to the final graphic once the dataset is fetched and parsed.

Ccoltonjcox92

95% match