Fork of Pathetic Bar Chart

Fork of Pathetic Bar Chart

This example visualizes the top 10 most populous countries using a bar chart with no axes, rendered as SVG elements. It loads population data from the United Nations World Population Prospects 2019 dataset via `d3.csv`, then uses React’s `useState` and `useEffect` hooks to fetch and store the data. The chart maps each country to a rectangle, sizing bars with `scaleBand` and `scaleLinear` from d3.v5, while the overall layout is managed through React and ReactDOM.

TTchea JiaWei

Fork of Pathetic Bar Chart

This example visualizes the top 10 most populous countries as a "pathetic" bar chart, using horizontal bars with no axes or labels. The visualization loads data from the United Nations World Population Prospects 2019 dataset, which is fetched via the `csv` function in d3. The bars are rendered as SVG rectangles, with each bar’s width proportional to the country’s 2020 population. The layout uses `scaleBand` for the y-axis positioning and `scaleLinear` for the x-axis scaling, with React managing the component state and rendering the final SVG output.

AAllOneeeee

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

Fork of Pathetic Bar Chart

This example displays the ten most populous countries as a pathetic bar chart with no axes, using React to render SVG rectangles. The data comes from the United Nations World Population Prospects 2019, loaded via the `d3.csv` function. A `scaleBand` positions each country vertically, while a `scaleLinear` maps population values to rectangle widths. The chart uses `d3.v5` and React hooks like `useState` and `useEffect` to fetch and store the data, showing a simple loading message until the CSV is ready.

DDiego Mariano

Fork of Pathetic Bar Chart

This example visualizes the top 10 most populous countries as a "pathetic" bar chart with no axes, labels, or gridlines—just raw rectangles scaled by population. The code uses React hooks (`useState`, `useEffect`) to load and manage data, while importing `csv`, `scaleBand`, `scaleLinear`, and `max` from D3 v5 to parse the United Nations World Population Prospects 2019 dataset and compute bar widths. Bars are rendered as SVG `<rect>` elements, with the x-scale mapping population values to pixel widths and the y-scale positioning each country’s bar vertically. The chart intentionally omits all chart furniture, leaving only the visual proportions of the data.

Bbencooper6851

Fork of Pathetic Bar Chart

This example displays the top 10 most populous countries as a pathetic bar chart with no axes, using React and D3 v5. It renders SVG rectangles positioned with `d3.scaleBand` and `d3.scaleLinear` to map population values to widths. The data is loaded asynchronously from a CSV file via `d3.csv`, sourced from the United Nations World Population Prospects 2019. The chart updates with a loading indicator until the dataset arrives, and bars fill the full browser viewport.

MMohammed Banani | MbDev

Fork of Pathetic Bar Chart

This example renders the top 10 most populous countries as a pathetic bar chart with no axes, using React to manage state and SVG for drawing. The code loads UN World Population Prospects 2019 data via `d3.csv`, then maps it with `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis. Each country appears as a plain `<rect>` element, with its width proportional to population, and a loading indicator displays until the data arrives.

Ddiegobrivo

Fork of Pathetic Bar Chart

This example visualizes the top 10 most populous countries as a pathetic bar chart, with no axes or labels, using rectangles sized by population values from the United Nations World Population Prospects 2019 dataset. The chart uses React hooks to fetch and parse CSV data via `d3.csv`, then renders SVG bars with `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis. The bars are drawn as SVG `<rect>` elements, with widths proportional to each country’s 2020 population estimate.

KKaiWhatmore