Fork of Pathetic Bar Chart

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as ranked bars, with no axes or labels, using a minimal bar chart layout. It loads United Nations World Population Prospects 2019 data via `d3.csv`, then sorts and slices the first ten rows. React state management (`useState`, `useEffect`) handles the asynchronous data fetch, while `d3.scaleBand` and `d3.scaleLinear` map countries and population values to SVG rectangles. The visualization renders in SVG, with bar widths proportional to 2020 population estimates.

Aanindyamehta@gmail.com

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as horizontal bars with no axes, making the ranking immediately visible through bar lengths. Built with React and D3 v5, it loads United Nations World Population Prospects 2019 data via `d3.csv`, parses the 2020 population column, and slices the first 10 rows. The SVG rendering uses `d3.scaleBand` for the y-axis country positions and `d3.scaleLinear` for the x-axis population widths, with each bar drawn as a `<rect>` element.

AAbin

Fork of Pathetic Bar Chart

AAbin

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a bar chart stripped of all axes and labels, emphasizing raw bar lengths over context. Built with React and D3, it loads United Nations World Population Prospects 2019 data via `d3.csv`, converts the “2020” population field to numbers, and slices the dataset to the first ten rows. Each bar is an SVG rectangle positioned with `d3.scaleBand` for the y-axis and sized using `d3.scaleLinear` and `d3.max` for the x-axis, all within a fixed 960×500 viewport.

YYing-Liu21

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 bare bar chart with no axes or labels, rendered as SVG rectangles. The React component fetches United Nations World Population Prospects 2019 data via d3.csv, then uses d3.scaleBand for the y-axis positioning and d3.scaleLinear with d3.max to map population values to bar widths. The visualization relies on React hooks—useState and useEffect—to load and slice the data, while d3.v5 and React 16.9 render the chart through ReactDOM.

JJean David

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a static, axis-less bar chart, using React for the user interface and D3.js for data loading and scaling. It fetches population data from the United Nations World Population Prospects 2019 via D3’s `csv` function, then maps the values using `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. The SVG rendering omits the axes, leaving only the bars and tick labels, which are generated from `xScale.ticks()`.

AAliaksandr

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