Skip to main content
SimilarExport ZIP
100%

Pathetic Bar Chart

✓ Published0🌍 Public
MMarta
Last edited Feb 5, 2023
Created on Feb 5, 2023
Forked from Pathetic Bar Chart

This example presents the top 10 most populous countries as a bare bar chart with no axes or labels, rendering each bar as a simple visual proportion. It loads data from a CSV file of the United Nations World Population Prospects 2019 via `d3.csv`, extracts the 2020 population values, and slices the first 10 rows for display. Built with React and D3 v5, the chart uses `d3.csv` and React state management to fetch and store the data, while the lack of axes emphasizes the raw magnitude of population differences.

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 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 a simple bar chart with no axes, where each bar’s width is proportional to its 2020 population estimate. The visualization uses React hooks to load and process data from the United Nations World Population Prospects 2019 via `d3.csv`, then renders SVG rectangles with `d3.scaleBand` for vertical positioning and `d3.scaleLinear` for horizontal scaling. The bars are drawn directly without any labels or tick marks, emphasizing the raw comparative sizes.

WWolfgang
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 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 renders the top 10 most populous countries as a bar chart with no axes, scales, or labels, making the bars appear "pathetic" and uninformative. The visualization loads population data from the United Nations World Population Prospects 2019 CSV, and uses React with hooks (`useState`, `useEffect`) to manage state. D3’s `csv`, `scaleBand`, `scaleLinear`, and `max` functions calculate bar widths and vertical positions, while each bar is an SVG `<rect>` element rendered inside a `<svg>` container.

Jjunxiangyao
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
96% match
Loading thumbnail…

Pathetic Bar Chart

This example visualizes the top 10 most populous countries as a simple horizontal bar chart, with bars sized by each country’s 2020 population from the United Nations World Population Prospects 2019 dataset. No axes or labels are rendered, making the chart deliberately minimalistic. The React component uses `useState` and `useEffect` to load and parse the CSV via `d3.csv`, then renders SVG `<rect>` elements positioned with `d3.scaleBand` and `d3.scaleLinear`. While loading, a large "Loading..." text is displayed using a `<pre>` element.

AALI Akbar SABZI
96% match
Loading thumbnail…

Pathetic Bar Chart

This example visualizes the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset using a bar chart with no axes. Each country is rendered as an SVG rectangle, with its width proportional to its 2020 population value. The visualization leverages React for component structure and state management, while D3 v5 utilities like `csv`, `scaleBand`, and `scaleLinear` handle data loading and scaling. The bars are positioned vertically with no labels or ticks, emphasizing the raw proportions between countries.

MMohammed Banani | MbDev
96% match