Refactored bar chart with React & D3

Refactored Bar Chart

This is a bar chart ranking the ten most populous countries according to UN 2019 population data. The visualization uses React to manage component state and rendering, while D3 v6 utilities like `scaleBand` and `scaleLinear` handle the scales and axes. The chart is rendered as an SVG, with data loaded asynchronously from a CSV via `csv`. The code defines reusable React components for the bottom and left axes and the bar marks, showcasing a modular, refactored approach to building D3 visualizations within a React framework.

MMario Ibarra

Refactored Bar Chart

This example shows a horizontal bar chart of the 12 most populous countries using UN population data from 2019. React renders SVG bars, with D3’s `scaleBand` and `scaleLinear` mapping country names and population values. Custom `AxisBottom` and `AxisLeft` components generate tick marks, while `Marks` draws the rectangles. The chart loads CSV data via `d3.csv` and uses React hooks for state management.

Nnexus1058

Refactored Bar Chart

A horizontal bar chart displays the top ten most populous countries for 2020, based on UN population data loaded via `d3.csv`. Using React and SVG within a D3 v5 framework, the visualization separates concerns by organizing reusable components for rendering axes and marks. The chart applies `d3.scaleBand` for country categories on the y-axis and `d3.scaleLinear` for population on the x-axis, with the bottom axis presenting population values and left axis showing country names.

Rrstrauss127

Refactored Bar Chart

This visualization presents a horizontal bar chart ranking the ten most populous countries based on 2020 UN population estimates. The chart uses a linear scale for population values and a band scale for country names, with axes and gridlines rendered as SVG elements. React manages the component state and rendering, while D3 utilities handle data loading via `csv()` and scale construction through `scaleLinear` and `scaleBand`. The data is fetched from a CSV file hosted in a GitHub gist, and the interface displays a loading message until the data arrives.

Kkosakase

Refactored Bar Chart

This example presents a horizontal bar chart of country populations using React components to structure the visualization. The chart loads data from a CSV file containing 2020 UN population estimates, slicing the dataset to show the top ten countries. D3 v5 utilities handle data parsing and scale generation, with `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Each bar’s width corresponds to the population value, rendered as SVG rectangles within a React component hierarchy, with separate component files managing the axes and marks.

TTroy Marchesseault

D3 Bar Chart (Refactoring React)

This visualization presents a horizontal bar chart of the ten most populous countries in 2020, using data from the UN Population dataset. It showcases a refactoring pattern where D3’s scale functions and tick generation are used within React components to render SVG elements. The code demonstrates using `d3.scaleBand` and `d3.scaleLinear` for axes and bar positioning, while custom React components like `AxisBottom`, `AxisLeft`, and `Marks` encapsulate SVG line, text, and rect elements. The rendering is pure SVG, dynamically generated from a CSV file via `d3.csv`.

ZZoe Ferencova

Refactored Bar Chart

This example shows a horizontal bar chart of population data for the top 10 countries in 2020, using React to render SVG elements. It fetches the UN Population dataset via `d3.csv`, then uses `scaleBand` and `scaleLinear` from D3 v7 to map country names and population values to screen coordinates. The chart is composed of three reusable React components for the bottom axis, left axis, and the bars themselves, with each axis tick and bar generated as separate SVG elements. The visualization demonstrates a modular, component-based approach to building D3 charts within a React framework.

GGabriel Dias Menezes

Refactored Bar Chart

This example visualizes the population of the top 10 countries from UN Population 2019 data as a horizontal bar chart. The chart uses D3 scales (`scaleBand` and `scaleLinear`) to position bars and axes, while React components render the SVG elements. The code separates AxisBottom, AxisLeft, and Marks into distinct React components, uses a custom `useData` hook to load and parse the CSV with d3.csv, and supports blank ticks as axis labels. The visualization highlights a modular, refactored approach to building reusable chart components.

SSai Phaltankar