Skip to main content
SimilarExport ZIP
100%

Refactored Bar Chart

✓ Published1🌍 Public
AAndre J Denais
Last edited Nov 9, 2020
Created on Sep 11, 2020

This Refactored Bar Chart displays the top ten countries by population in 2020 using a horizontal bar layout. A React component loads CSV data from a GitHub-hosted UN population dataset, then renders an SVG with d3.scaleBand for the categorical y-axis, d3.scaleLinear for the quantitative x-axis, and separate AxisLeft, AxisBottom, and Marks components for modular chart construction. Each bar’s length encodes population values, with axis ticks and labels generated programmatically from the scales.

AI-generated description

A program for playing with Bar Charts in D3.

MIT Licensed

Similar vizzes

Loading thumbnail…

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
96% match
Loading thumbnail…

Refactored Bar Chart

This bar chart displays the top 10 countries by population for 2020, using a horizontal layout where each bar’s length encodes population values on a linear scale. The visualization is rendered as SVG in a React component, with D3 v5 utilities (scaleBand, scaleLinear, max, csv) handling data loading, scaling, and axes. The dataset is fetched from a CSV file of UN population estimates, and React state (useState, useEffect) manages the asynchronous data loading, while the Marks component draws each rectangle bar.

SSamirAhma
96% match
Loading thumbnail…

Refactored Bar Chart

This example shows a horizontal bar chart of the top ten countries by 2020 population, sourced from a CSV file of UN population data. The chart uses React components to render the visualization as SVG, with d3-scale for the `scaleBand` y-axis and `scaleLinear` x-axis positioning. Population values drive bar widths, while country names label the left axis. The code is refactored into separate, reusable components for the axes and marks, with data loading handled by a custom `useData` hook that uses d3.csv.

RRajat Dangat
96% match
Loading thumbnail…

Refactored Bar Chart

This example presents a horizontal bar chart of the top ten countries by 2020 population, sourced from a UN population dataset. It demonstrates a modular code organization using React components for the bottom axis, left axis, and the rectangular marks, each rendered with SVG. The chart specifically uses D3's `scaleBand` and `scaleLinear` to map the data to pixel coordinates, while the React `useData` hook fetches and parses the CSV file. The bars are scaled proportionally to each country's population value.

Vvangenned
96% match
Loading thumbnail…

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
96% match
Loading thumbnail…

Refactored bar chart

This example shows a horizontal bar chart displaying the top 10 countries by population for 2020, using data from a UN Population CSV file. It demonstrates a modular React component structure with separate files for axes, marks, and data loading. The chart renders as SVG using React elements, with a d3.scaleBand for the categorical y-axis and d3.scaleLinear for the quantitative x-axis. The code uses d3.csv for data fetching and parsing, and d3.max to compute the population domain.

Ddanielscheeper@gmail.com
96% match
Loading thumbnail…

Refactor Bar chart

This bar chart visualizes the population of the top 10 countries in 2020, using horizontally-oriented bars. Built with React and SVG, the example decomposes the visualization into reusable components: `AxisBottom`, `AxisLeft`, and `Marks`. It uses `d3.scaleBand` for the categorical y-axis, `d3.scaleLinear` for the population x-axis, and `d3.max` for domain calculation. Data is loaded asynchronously from a CSV file via a custom `useData` hook, which fetches and parses the UN Population 2019 dataset.

AAlex Stulov
96% match
Loading thumbnail…

Refactored Bar Chart

This example shows a horizontal bar chart of the top 10 countries by 2020 population, using data loaded from a CSV of UN population figures. The chart renders bars with SVG `<rect>` elements, with a linear scale for the x-axis and a band scale for the y-axis. React components structure the visualization, while D3 utilities like `csv`, `scaleBand`, and `scaleLinear` handle data loading and scaling. Axis components generate tick marks and labels, all within a fixed-width SVG canvas.

IIlyas Filali
95% match