Fork of Pathetic Bar Chart

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as colored rectangles, with bar width proportional to population and no axes or labels. Built with React and D3 v5, it uses `d3.csv` to load UN World Population Prospects 2019 data, then `scaleBand` for the vertical country positions and `scaleLinear` for horizontal bar lengths. The visualization renders as SVG, updating from a loading state to the final chart once data arrives.

Ffaizalmunna

Fork of Pathetic Bar Chart

This example presents the top 10 most populous countries as a bar chart with no axes, rendering bars as plain rectangles. Built with React and D3 v5, it loads population data from the United Nations World Population Prospects 2019 via `d3.csv`, scales the bar widths with `scaleLinear` and positions them with `scaleBand`. The SVG output uses React state and hooks to fetch and display the data, with a red grid line attempted inside the tick mapping.

EEdgar Alves

Fork of Pathetic Bar Chart

This example visualizes the top 10 most populous countries as a bar chart, using rectangle widths proportional to each country’s 2020 population estimate from the United Nations World Population Prospects 2019. The chart intentionally omits axes and labels, presenting only bare colored bars against a plain background. Built with React and D3 v5, the code uses `d3.csv` to load the data, `scaleBand` for the vertical positioning of countries, and `scaleLinear` for the horizontal bar lengths. All bars are rendered as SVG `<rect>` elements within a React component, with each bar’s width derived from the maximum population value.

GGeekboxer

Fork of Pathetic Bar Chart

This example displays a bar chart of the top 10 most populous countries, using raw rectangles with no axes or labels. Built with React and D3 v5, it loads population data from the United Nations World Population Prospects 2019 via `d3.csv`, sorts the first ten rows, and maps values using `scaleBand` and `scaleLinear`. The visualization renders as SVG, with bar widths proportional to 2020 population estimates, though the geometric primitives are intentionally left bare.

JJean David

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

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart with no axes, using React and D3.v5. Population values from the United Nations World Population Prospects 2019 dataset are loaded via `d3.csv` and rendered as SVG rectangles. The code uses `scaleBand` for the y-axis positioning of country names and `scaleLinear` for bar widths, with bars colored by the default fill. The chart updates asynchronously, showing a loading message until data arrives.

TToooooooT

Fork of Pathetic Bar Chart

This example visualizes the top 10 most populous countries as horizontal bars with no axes, using React and D3 v5 to fetch and render the data. It displays United Nations World Population Prospects 2019 data by mapping country names to a `d3.scaleBand` y-axis and population values to a `d3.scaleLinear` x-axis. The SVG rectangles are rendered directly in JSX, with bar widths proportional to each country’s 2020 population estimate. The code uses `d3.csv` to load the dataset and React hooks (`useState`, `useEffect`) to manage the asynchronous data loading.

Mmrthnkwn

Fork of Pathetic Bar Chart

This example shows the top 10 most populous countries as a set of horizontal rectangles, with lengths proportional to each country’s 2020 population, and no axes or labels. The visualization uses React with React hooks—`useState` and `useEffect`—to load a CSV from the United Nations World Population Prospects 2019 via `d3.csv`, then slices the first ten rows. Scaling relies on `d3.scaleBand` for vertical positioning and `d3.scaleLinear` for bar widths, with the SVG rendered declaratively through React’s JSX.

MMathieuSchaff