Refactored BarChart

Refactored Bar chart

This example shows a horizontal bar chart of the top 10 countries by population, using data loaded from a publicly hosted CSV of the 2019 UN population estimates. The chart renders population values on the x-axis and country names on the y-axis using SVG. The code builds the visualization with React components for the axes and marks, while D3’s `csv`, `scaleBand`, `scaleLinear`, and `max` utilities handle data loading and coordinate mapping. React state manages the asynchronous data fetch, and the axes are drawn as reusable function components.

Kkragovic

Refactored bar chart

This chart displays the top 10 most populous countries as horizontal bars ranked by population, with axes providing clear quantitative and categorical context. The visualization is built with React and D3 v5, using React components to render SVG elements while d3’s `scaleBand`, `scaleLinear`, and `format` handle positioning and tick labels. Data comes from the United Nations World Population Prospects 2019 CSV, processed through d3’s `csv` function. Tooltips on each bar reveal exact population values via native SVG `title` elements.

TThiago Sawada

Refactored Bar Chart

This example shows the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset as horizontal bars, with axes displaying country names and population values. The visualization uses React 16.9 and D3 v5, rendering SVG through React components. D3’s `scaleBand` and `scaleLinear` map the data to positions, while custom `AxisBottom` and `AxisLeft` components generate tick marks and labels. The `useData` hook loads the CSV and truncates it to ten rows before rendering the rectangles.

CCurran Kelleher

Refactored Bar Chart

This example presents the top 10 most populous countries as a horizontal bar chart, with country names on the y-axis and population values on the x-axis, sourced from the United Nations World Population Prospects 2019. The visualization is built with React and D3 v5, using `scaleBand` and `scaleLinear` to position bars and axes, while SVG `<rect>` elements render the marks. The code separates concerns into reusable components for the bottom axis, left axis, and marks, and loads data asynchronously via D3’s `csv` parser.

Aamiteshwarr

Refactored Bar Chart

This bar chart visualizes the top 10 countries by 2020 population using data from the UN Population 2019 dataset, loaded via D3’s `csv` utility. Built with React and D3 v5, it encodes population with a linear x-scale (`scaleLinear`) and country names with a band scale (`scaleBand`) for the y-axis. The SVG rendering is composed of custom components for axes (`AxisBottom`, `AxisLeft`) and bars (`Marks`), with React state managing the asynchronous data loading.

SSarah Elkeurti

Refactored Bar Chart

This example displays the top 10 most populous countries as horizontal bars, ranked by population, with country names on the left and a linear population scale on the bottom. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and renders SVG rectangles via the `Marks` component. Axis labels and ticks are generated by `AxisBottom` and `AxisLeft`, which map scales to SVG elements. Data comes from the UN World Population Prospects 2019 CSV, loaded asynchronously with `d3.csv` inside a custom `useData` hook.

VVeerle

Refactored Bar Chart

This bar chart displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset. Built with React and D3 v5, it uses SVG rendering to draw horizontal bars representing each country's population. The code separates concerns into reusable components for axes and marks, with D3's `scaleBand` and `scaleLinear` handling the coordinate mappings. Data is loaded asynchronously using D3's `csv` function and the first ten rows are selected for display.

RRudy Shayganfar

Refactored Bar Chart

This example presents a horizontal bar chart of the top 10 countries by population for 2020, sourced from a UN population CSV file. The visualization uses React with D3 v5 utilities to load and scale the data, rendering SVG via React components. `scaleBand` positions country labels on the y-axis, while `scaleLinear` maps population values to bar widths, with reusable `AxisBottom`, `AxisLeft`, and `Marks` components structuring the chart.

JJohn Jeevasaeyan