Fork of Pathetic Bar Chart

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a bar chart with no axes, using population data from the United Nations World Population Prospects 2019. The chart renders with React and D3 v5, where `scaleBand` maps countries to vertical positions and `scaleLinear` maps population values to bar widths. Each bar is drawn as an SVG rectangle within a React component, with data loaded asynchronously via `d3.csv`. The visualization intentionally omits scales, labels, and other chart furniture to present a minimal, data-only view.

TTushar Dangayach

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

Fork of Pathetic Bar Chart

This example visualizes the top 10 most populous countries as a minimal bar chart with no axes, using rectangles sized by each country’s estimated 2020 population from the United Nations World Population Prospects 2019 dataset. The chart loads data via d3.csv, scales the bars with d3.scaleBand and d3.scaleLinear, and renders them as SVG elements within a React component using useState and useEffect. The visualization deliberately omits labels, gridlines, and scales, leaving only the raw bars to emphasize the relative magnitudes.

CCem Onal

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 shows the top 10 most populous countries as a bare bar chart with no axes or labels, using rectangles whose widths encode population. The visualization fetches data from the United Nations World Population Prospects 2019 CSV, then sorts and slices it to the first ten rows inside a React component. It uses d3.csv for loading, d3.scaleBand for the vertical country positioning, and d3.scaleLinear for the horizontal population values, rendering the output as SVG via React elements.

Aanandbabu-k

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a series of rectangles that scale horizontally with population size, using no axes or labels. The chart is built with React and D3.js (d3.scaleBand and d3.scaleLinear) and renders as SVG. Data comes from the United Nations World Population Prospects 2019, loaded via d3.csv. Initially, the app shows a loading message until the CSV is fetched.

Bbradpickering

Fork of Pathetic Bar Chart

This visualization displays the top 10 most populous countries as a series of horizontal bars with no axes, using data from the United Nations World Population Prospects 2019. Each rectangle’s width encodes the country’s 2020 population via `d3.scaleLinear`, while its vertical position relies on `d3.scaleBand`. The React component loads the CSV with `d3.csv`, slices the first ten rows, and renders SVG rectangles. The chart intentionally omits labels and scales, presenting a minimal, decontextualized view of population ranking.

FfaridTalmat

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