styled Fork of refactor bar chart

Fork of Refactored Bar Chart

This bar chart displays the top 10 most populous countries using data from the United Nations World Population Prospects 2019, rendered as an SVG via React. The visualization uses d3.scaleBand for the y-axis, d3.scaleLinear for the x-axis, and d3.csv to load the dataset. It includes bottom and left axes generated from custom React components, with rectangular marks representing each country’s population. The chart is intentionally minimal, lacking gridlines and other embellishments, and updates reactively when data loads.

NNicolás Troncoso

Fork of Stylized Bar Chart

This bar chart displays the top 10 most populous countries using data from the United Nations World Population Prospects 2019. The chart uses SVG rendering within a React component, leveraging D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the population x-axis. Axes are drawn with custom React components (`AxisBottom`, `AxisLeft`), while `Marks` renders each bar with a tooltip. Population values are formatted with D3’s `format` function, converting large numbers to billions with a "B" suffix.

Vvcabgar

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries as horizontal bars, with country names on the left and a linear population scale along the bottom. It uses React to render SVG elements, with D3’s `scaleBand` and `scaleLinear` for positioning and scaling. The data comes from the United Nations World Population Prospects 2019, loaded via `d3.csv` and sliced to the first ten rows. Axes are custom components using D3 tick generation.

BBetty

Fork of Refactored Bar Chart

This horizontal bar chart displays the top 10 most populous countries, using data from the United Nations World Population Prospects 2019. React components render SVG rectangles whose lengths encode population values, with axes generated by D3's `scaleBand` and `scaleLinear`. The chart includes formatted tick labels, a labeled x-axis, and tooltips showing population figures on hover.

Bbradpickering

Fork of Refactored Bar Chart

This fork of the refactored bar chart displays the top 10 most populous countries based on the United Nations World Population Prospects 2019 data. The chart uses horizontal bars with axes, rendered as SVG elements within a React application. The visualization employs D3 v5 scales for positioning, with `scaleBand` for the categorical y-axis and `scaleLinear` for the continuous population values on the x-axis. Data is loaded asynchronously using D3's CSV parser and processed through custom React components for axes and marks.

JJulienJacquot

Fork of Stylized Bar Chart

This bar chart displays the top 10 most populous countries, using data from the United Nations World Population Prospects 2019. It visualizes population values on a horizontal linear scale with a band scale for country names. The React app loads and processes the CSV data, then renders SVG elements with D3 v5 scales. The code includes custom axis components, rect marks with tooltips, and a formatted x-axis that abbreviates large numbers using `d3.format` with SI prefixes.

Iindushashi.g@gmail.com

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset in a horizontal bar chart. The bars are rendered as SVG rectangles using React components, with axes generated via custom `AxisBottom` and `AxisLeft` components that leverage d3.scaleBand and d3.scaleLinear. Data loading is handled through d3.csv in a custom `useData` hook, which parses population values and slices the result to the first ten entries. The chart includes tick marks and labels for both axes.

Eevers-codeshop-ai

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart, with country names on the left axis and population values along the bottom axis. It uses React components to render SVG elements, with D3 v5’s `scaleBand` and `scaleLinear` for positioning and scaling, and manually drawn axis components (`AxisBottom`, `AxisLeft`) to avoid D3 axis helpers. Data is loaded asynchronously via `useData` and D3’s `csv` from the United Nations World Population Prospects 2019 dataset, with the chart updating once the data arrives.

Ssmeiyin