Pathetic Bar Chart

Pathetic Bar Chart

This example presents a bar chart of the top 10 most populous countries using UN population data from 2019, loaded via d3.csv. The chart uses d3.scaleLinear for the horizontal axis and d3.scaleBand for the vertical country categories. It is rendered as an SVG with React, where each bar is a rectangle element positioned using the scales. The visualization dynamically fills the browser window based on its dimensions.

BbeauMarko

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

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

Pathetic Bar Chart

This example uses React and D3 v5 to render a bar chart of the ten most populous countries in 2020, based on UN population data loaded via `d3.csv`. The `scaleBand` and `scaleLinear` D3 scales map country names to vertical positions and population to horizontal bar widths, while React components generate the SVG `<rect>` elements. The visualization updates from a loading state to the final chart once the asynchronous data fetch completes.

Mmscoop16

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

MMilena Belianovich Holtman

Pathetic Bar Chart

This example uses React and D3 to render a horizontal bar chart of the ten most populous countries from a UN population dataset. The visualization shows country names on the y-axis and population totals on the x-axis, with each bar’s length proportional to its population value. The code loads CSV data via `d3.csv`, assigns ordinal y-axis scales using `d3.scaleBand`, and a linear x-axis scale constructed with `d3.scaleLinear` and `d3.max`. React’s `useEffect` hook triggers the asynchronous data fetch, and the final SVG is built by mapping over the data to output `rect` elements.

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

Pathetic Bar Chart

This example presents a bar chart of the ten most populous countries in 2020, sourced from a UN population dataset loaded via D3’s `csv` utility. The visualization uses React state to hold the parsed data, and D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, which map country names and population values to SVG rectangles. The chart renders within an SVG element, with each bar’s width proportional to its population, while the interface displays a loading message until the data arrives.

NNigel