Skip to main content
SimilarExport ZIP
100%

Pathetic Bar Chart

✓ Published0🌍 Public
TTrustPaul
Last edited Nov 27, 2020
Created on Nov 27, 2020
Forked from Pathetic Bar Chart

A pathetic bar chart displays the top 10 most populous countries with horizontal rectangles and no axes, lacking any scale or labels. Built with React and D3 v5, it uses `d3.csv` to load United Nations World Population Prospects 2019 data, then applies `scaleBand` for the y-axis and `scaleLinear` for the x-axis. The SVG renders each bar without axes, making the chart intentionally minimal. An external `bundle.js` contains the React code, which iterates over the data to draw the rectangles.

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…

Pathetic Bar Chart

This example displays the top 10 most populous countries as a pathetic bar chart with no axes, using React to render SVG rectangles. The chart lacks scales for axes but uses `d3.scaleBand` for vertical positioning and `d3.scaleLinear` for horizontal bar widths based on population values. Data comes from the United Nations World Population Prospects 2019, loaded via `d3.csv`. The bars are drawn with React components, and the visualization updates once the CSV data is fetched and sorted by descending population.

TTrustPaul
97% match
Loading thumbnail…

Pathetic Bar Chart

This example shows the top 10 most populous countries as horizontal bars, with no axes or labels, making the chart deliberately bare and difficult to interpret. The bars are rendered as SVG rectangles inside a React component, using the `useState` and `useEffect` hooks to load and manage data. It fetches population data from the United Nations World Population Prospects 2019 via `d3.csv`, then uses `d3.scaleBand` for the y-axis positioning and `d3.scaleLinear` for the x-axis scaling, with `d3.max` to determine the domain. The chart intentionally omits axes, ticks, and labels, leaving only colored rectangles of varying widths.

TTrustPaul
96% 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
96% match
Loading thumbnail…

Pathetic Bar Chart

This example displays the top 10 most populous countries as a pathetic bar chart with no axes, using horizontal bars whose lengths encode population figures from the United Nations World Population Prospects 2019 dataset. The visualization is built with React for rendering SVG rectangles, while D3 v5 utilities like `scaleBand` and `scaleLinear` map country names and population values to pixel dimensions. The data is loaded asynchronously via `d3.csv`, and the chart updates once the first ten rows are fetched and parsed.

GGjum
96% match
Loading thumbnail…

Pathetic Bar Chart

This example presents the top 10 most populous countries as a rudimentary bar chart with no axes or labels, using only filled rectangles scaled by population. Built with React and D3 v5, it loads CSV data from the United Nations World Population Prospects 2019 via `d3.csv`, then maps population values to bar widths using `scaleLinear` and countries to vertical positions with `scaleBand`. Rendered as an SVG, the visualization intentionally omits all chart furniture, emphasizing raw data relationships in a minimal, "pathetic" aesthetic.

AArookie-2020
96% match
Loading thumbnail…

Pathetic Bar Chart

This example displays the top 10 most populous countries as horizontal bars without any axes, labels, or scales, filling the viewport with oversized rectangles. The chart uses React hooks to fetch and process data from the United Nations World Population Prospects 2019 dataset via `d3.csv`, then renders SVG `rect` elements positioned by `d3.scaleBand` and `d3.scaleLinear`. The code applies no styling or annotations, intentionally presenting bare data values as a deliberately minimal and ironic visualization.

Sstellnew
96% match
Loading thumbnail…

Pathetic Bar Chart

This example visualizes the top 10 most populous countries as a bare-bones bar chart with no axes or labels, using only rectangles scaled by population. It loads data from the United Nations World Population Prospects 2019 via d3.csv, then applies d3.scaleBand for the vertical country bands and d3.scaleLinear for horizontal bar widths. The chart is rendered as SVG within a React component using react and react-dom, with bars drawn for each country in the dataset.

MMuhammet Taha GÖÇER
96% match
Loading thumbnail…

Pathetic Bar Chart

This example renders the top 10 most populous countries as a minimalist bar chart with no axes, using React to manage state and render SVG rectangles. The code loads population data from the United Nations World Population Prospects 2019 via `d3.csv`, then orders the dataset to the first ten entries. With `d3.scaleBand` for vertical positioning and `d3.scaleLinear` for bar widths, each country’s 2020 population is visualized as a gray rectangle. The chart intentionally lacks labels, ticks, or gridlines, presenting raw data without visual scaffolding.

Ddavmaz
95% match