Refactored Bar Chart

100%

Refactored Bar Chart

✓ Published1🌍 Public

Last edited Sep 25, 2021

Created on Sep 25, 2021

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.

AI-generated description

MIT Licensed

Similar vizzes

Loading thumbnail…

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

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Refactored Bar Chart

This bar chart displays the top ten countries by population for 2020, using horizontal bars sorted by country name. The visualization is built with React for component rendering and D3 v7 utilities for data loading and scales, including `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Data is fetched via D3’s `csv` parser from a GitHub gist, with SVG elements composed from reusable React components like `AxisBottom`, `AxisLeft`, and `Marks`.

Qqtrfx

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Refactored Bar Chart

This chart displays population data for the top 10 countries in 2020 using horizontal bars, with country names on the y-axis and population values on the x-axis. Built with React and D3 v6, the visualization uses D3's `scaleBand` and `scaleLinear` for axes, `format` for tick labels, and SVG elements for rendering. Data is loaded asynchronously via D3's `csv` function from a UN Population dataset. A tooltip reveals the exact population value for each bar.

Ddjfeld01

96% match

Loading thumbnail…

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

96% match

Loading thumbnail…

Refactored Bar Chart

This example shows a horizontal bar chart of the top 10 countries by 2020 population, with the y-axis listing country names and the x-axis displaying population values. It loads data from a CSV file using `d3.csv` within a React hook (`useData`). The visualization uses `d3.scaleBand` and `d3.scaleLinear` to map data to SVG rectangles, with axes and marks extracted into reusable React components (`AxisBottom`, `AxisLeft`, `Marks`). React renders the SVG, and D3 v6 handles the data loading and scaling.

SSabin Bhandari

96% match

Loading thumbnail…

Refactored Bar Chart

This example displays a horizontal bar chart of the 2020 populations for the top ten countries, sorted by descending value. Built with React and rendered as SVG, it uses D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. The custom `AxisBottom`, `AxisLeft`, and `Marks` components draw tick lines, labels, and rectangle bars by mapping data attributes to spatial scales. Population data is loaded asynchronously via `d3.csv` from a GitHub-hosted CSV file.

JJun Suzuki

95% match