Skip to main content
SimilarExport ZIP
100%

Fork of Pathetic Bar Chart

✓ Published0🌍 Public
SSunbinSong
Last edited Aug 24, 2022
Created on Aug 24, 2022
Forked from Pathetic Bar Chart

This example displays the top 10 most populous countries as horizontal bars without axes, using a simple SVG rendering. The chart fetches population data from the United Nations World Population Prospects 2019 CSV, extracting the 2020 population values for each country. Built with React, it leverages d3.scaleBand for the y-axis categories and d3.scaleLinear for the x-axis values, mapping each country’s population to bar widths. The bars are drawn as SVG rectangles, with a loading state shown while data loads asynchronously via d3.csv.

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 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 set of horizontal bars without axes, using a deliberately plain styling. Data comes from the United Nations World Population Prospects 2019 CSV file. The React application loads the data with `d3.csv`, then renders SVG rectangles positioned by `d3.scaleBand` for country names and sized by `d3.scaleLinear` for population values. The chart updates once data arrives, with no interactive elements.

Zzrg19
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 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
97% match
Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a rudimentary bar chart with no axes, using a React component and SVG rendering. It loads United Nations World Population Prospects 2019 data from a CSV via `d3.csv`, slices the first ten rows, and maps populations for 2020 to rectangle widths using `d3.scaleLinear`, while `d3.scaleBand` positions each country vertically. The chart omits axis labels and titles, presenting only the bars against a blank canvas.

KKuladeep
97% match
Loading thumbnail…

Fork of Pathetic Bar Chart

This example shows the top 10 most populous countries as a horizontal bar chart with labeled bars but no axes, using React to render SVG elements. The code loads United Nations World Population Prospects 2019 data via d3.csv, then applies d3.scaleLinear and d3.scaleBand to map population values and country names to pixel coordinates. It manually draws gridlines and tick labels using d3.scaleLinear ticks, while omitting axis components. Bars are rendered as SVG rectangles whose widths reflect each country’s 2020 population estimate, with country names positioned along the y-axis.

Nnikitaglt
97% match
Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as horizontal bars with no axes, making the ranking immediately visible through bar lengths. Built with React and D3 v5, it loads United Nations World Population Prospects 2019 data via `d3.csv`, parses the 2020 population column, and slices the first 10 rows. The SVG rendering uses `d3.scaleBand` for the y-axis country positions and `d3.scaleLinear` for the x-axis population widths, with each bar drawn as a `<rect>` element.

AAbin
97% match
Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as horizontal bars with no axes, making the ranking immediately visible through bar lengths. Built with React and D3 v5, it loads United Nations World Population Prospects 2019 data via `d3.csv`, parses the 2020 population column, and slices the first 10 rows. The SVG rendering uses `d3.scaleBand` for the y-axis country positions and `d3.scaleLinear` for the x-axis population widths, with each bar drawn as a `<rect>` element.

AAbin
97% match
Loading thumbnail…

Fork of Pathetic Bar Chart

This example presents the top 10 most populous countries as a series of unlabeled, axis-less bars rendered as SVG rectangles. The bars stretch horizontally across the viewport based on each country’s 2020 population estimate, with no tick marks, scales, or other chart furniture. The visualization uses React hooks (useState, useEffect) to fetch and parse United Nations World Population Prospects 2019 data via d3.csv, then applies d3.scaleBand for vertical country positioning and d3.scaleLinear for bar widths. While loading, a large “Loading...” message appears in place of the chart.

Kkl7g
96% match