Refactored Bar Chart

Refactored Bar Chart

This horizontal bar chart displays the population of the top 10 countries in 2020, with country names on the y-axis and population values on the x-axis. Built with React and D3 v7, it uses `scaleBand` and `scaleLinear` to map data to SVG coordinates. The chart is separated into modular components—`AxisBottom`, `AxisLeft`, and `Marks`—each rendering SVG elements like lines and text. Data is loaded asynchronously from a CSV file via `d3.csv`, and all visual elements are rendered declaratively with React's SVG output.

KKevin McMorrow

Refactored Bar Chart

This bar chart displays the top ten countries by population in 2020, with horizontal bars showing population values. The visualization is built using React components that render SVG elements, with D3 v5 utilities handling data loading via `d3.csv`, scale construction through `scaleBand` and `scaleLinear`, and number formatting. Each bar is a `<rect>` element, and tick marks are generated by `xScale.ticks()` in the `AxisBottom` component.

Jjanneprice

Refactored Bar Chart

This example visualizes the top 10 countries by population in 2020 using a horizontal bar chart. The chart displays a linear x-axis for population values and a categorical band scale for country names, with bars rendered as SVG rectangles. Built with React and D3 v6, the code separates concerns into reusable components for axes and marks, and loads data from a CSV file using the `csv` function. The scaleLinear and scaleBand APIs handle the mapping, while React hooks manage the asynchronous data fetching.

Fforcox43

Refactored Bar Chart

This visualization shows the population of the top 10 countries in 2020 as a horizontal bar chart, with all bars aligned to the left and sorted by country name. The application loads the data from a CSV file using D3’s `csv` utility, then renders the SVG with React components for the axes and marks. The y-axis uses `scaleBand` to position categorical labels, while the x-axis uses `scaleLinear` for the numeric population values. Each bar is drawn as a `<rect>` via the `Marks` component, with size determined by the population value.

FFonda Irena Santoso

Refactored Bar chart

This example shows a horizontal bar chart of the top 10 countries by population for 2020, with countries listed along the y-axis and population values along the x-axis. The visualization uses React to render SVG elements, with D3 v6 providing scales and data loading. The code imports `csv` to fetch population data from a GitHub-hosted CSV file, `scaleBand` and `scaleLinear` to map country names and population values to pixel coordinates, and `max` to determine the x-axis domain. Axis components and bar marks are defined as individual React components for modularity.

BbeauMarko

Refactored Bar chart - Countries by population (top 10)

This bar chart displays the top 10 most populous countries in 2020, with each country's total population represented by the length of its corresponding bar. The visualization uses React components to render SVG elements, with d3.scaleBand and d3.scaleLinear handling the categorical and linear scales for the country names and population values. Data is loaded asynchronously from a CSV file using d3.csv, and the chart is composed of separate AxisBottom, AxisLeft, and Marks components that are refactored for clarity. The bars are drawn as SVG rect elements within a 960×500 viewport.

AAlexander Dorling

Refactored Bar Chart

This visualization shows the top 10 countries by population for 2020 as a horizontal bar chart, with country names on the y-axis and population along the x-axis. Loading data via d3.csv from a UN population CSV, it uses React components to render SVG rects, with scales built from d3.scaleBand and d3.scaleLinear. Axis ticks and labels are generated manually with React JSX, mimicking D3’s axis pattern without d3.axisBottom or d3.axisLeft.

EEFezerKW

Refactoring bar chart

This bar chart displays the population of the top 10 countries for 2020, using a horizontal layout with country names on the y-axis and population values on the x-axis. It loads CSV data with D3 utilities and renders the visualization with React, creating SVG rect marks for the bars. The code builds custom XAxis and YAxis components from d3 scales (scaleBand, scaleLinear), and uses d3.max to compute the domain. All marks, axes, and labels are rendered as React components, with data fetched asynchronously and displayed after a loading state.

Ssmile2git