Fork of Fork of Pathetic Bar Chart

100%

Fork of Fork of Pathetic Bar Chart

✓ Published1🌍 Public

Last edited May 6, 2022

Created on May 6, 2022

This example displays the top 10 most populous countries as a bar chart with no axes, using React hooks and D3 v5. It loads population data from a CSV file hosted on GitHub, sourced from the United Nations World Population Prospects 2019. The visualization uses `d3.csv` to fetch and parse data, `d3.scaleBand` for the y-axis positioning, and `d3.scaleLinear` for the x-axis scaling. Rendered as SVG, it includes gridlines and tick labels from `xScale.ticks()`, with bars drawn as `<rect>` elements and country names as `<text>` labels.

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…

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

97% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a bar chart with no axes, using React hooks to manage state and effects. The code loads UN World Population Prospects 2019 data via `d3.csv`, parses the 2020 population column, and renders SVG rectangles scaled by `d3.scaleLinear` for width and `d3.scaleBand` for vertical positioning. React handles rendering updates, while D3 v5 provides data loading and scaling utilities.

CCYBERFENRIR

96% match

Loading thumbnail…

Fork of Fork of Pathetic Bar Chart

This example shows the top 10 most populous countries as a horizontal bar chart with no visible axes, using React and D3 v5. It loads UN World Population Prospects 2019 data via `d3.csv`, sorts and slices the first ten rows, and renders SVG rectangles with `scaleBand` for the y-axis and `scaleLinear` for the x-axis. The code defines custom React components for the bottom axis and left axis labels, though the left axis is omitted from the final rendering. The chart displays population values encoded as bar widths, with red tick lines on the bottom axis.

Pplusbeauxjours

96% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example renders a bar chart of the top 10 most populous countries using React and D3 v5, with bars drawn as SVG rectangles via the `scaleBand` and `scaleLinear` scales. The chart intentionally omits axes and labels, presenting only the raw data values loaded from a CSV file sourced from the United Nations World Population Prospects 2019. Data is fetched asynchronously with `d3.csv` and stored in React state, triggering a re-render once loaded. The bars are positioned using the band scale’s `yScale` and sized with the linear scale’s `xScale`, with no interactive elements or transitions.

Bbencooper6851

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a bar chart, deliberately omitting axes to create a "pathetic" minimalist aesthetic. The visualization uses React hooks to manage state and fetch data, while D3 v5’s `scaleBand` and `scaleLinear` handle positioning. Bars are drawn as SVG `<rect>` elements, with country labels and tick marks generated from the scales. The data comes from the United Nations World Population Prospects 2019, loaded via `d3.csv`. The chart intentionally lacks a functional x-axis, rendering only tick lines and values for a raw, unconventional look.

BBhavesh Choudhary

96% match

Loading thumbnail…

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

96% match