Refectoring a Bar Chart

100%

Refectoring a Bar Chart

✓ Published1🌍 Public

Last edited Oct 15, 2022

Created on Oct 15, 2022

A bar chart displays the top 10 countries by population from a United Nations dataset loaded via `d3.csv`. React components render the SVG axes and bars, with scales created using `d3.scaleBand` and `d3.scaleLinear`. The chart is refactored into reusable modules for the bottom axis, left axis, and marks, demonstrating a clean separation of visualization logic.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities, and uses React to render the data as a radial burst!

MIT Licensed

Similar vizzes

Loading thumbnail…

Refactored Bar Chart

A horizontal bar chart displays the top 10 countries by 2020 population, sourced from a UN population CSV loaded via `d3.csv`. React components render SVG axes and marks, with `d3.scaleBand` mapping countries to vertical bands and `d3.scaleLinear` mapping population values to bar widths. The chart includes custom `AxisBottom` and `AxisLeft` components with tick lines and labels, demonstrating a modular React+D3 refactoring pattern.

RRMartins11

94% match

Loading thumbnail…

Refactored Bar Chart

A refactored bar chart displays the top ten countries by 2020 population from a United Nations dataset, using horizontal bars to compare values. The React application loads the CSV with d3.csv and renders an SVG, splitting visualization into reusable components for axes and marks. D3 scales—scaleBand for the categorical y-axis and scaleLinear for the quantitative x-axis—position the bars, while axis components generate ticks and labels. The code separates data fetching, rendering, and layout concerns, demonstrating a modular approach to building interactive charts with React and D3 v6.

OOlof Ollerstam

94% match

Loading thumbnail…

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

93% match

Loading thumbnail…

Refactored Bar Chart

This example displays a bar chart of the top 10 countries by population from UN Population 2019 data, using React components for the axis and marks. The SVG rendering uses D3 v5’s `scaleBand` and `scaleLinear` for positioning and sizing, with `useData` fetching the CSV via `d3.csv`. Each bar shows the population value with a bottom axis and labeled left axis, demonstrating a modular refactoring of D3 within a React framework.

Ffjvoris

93% match

Loading thumbnail…

Refactored Bar Chart

This example presents a horizontal bar chart showing the population of the top 10 countries from a UN Population dataset. The chart uses React components to render SVG elements, with D3’s `scaleBand` for the categorical country axis and `scaleLinear` for the numeric population axis. The visualization is split into modular components, including `AxisBottom`, `AxisLeft`, and `Marks`, which draw the ticks and rectangles. Data is loaded asynchronously via `d3.csv`, and the chart updates upon data arrival.

SSonja Ek

93% match

Loading thumbnail…

Refactoring a Bar Chart

This example refactors a bar chart into modular React components, displaying the populations of the top ten countries from UN Population 2019 data. The visualization uses SVG rendering, with separate components for the bottom and left axes, and marks for the bars. D3’s `scaleBand` and `scaleLinear` handle the axis scales, while React hooks (`useState`, `useEffect`) manage the asynchronous loading of the CSV data via D3’s `csv` utility.

Llefat92

93% match

Loading thumbnail…

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

93% match

Loading thumbnail…

Refactoring a Bar Chart

This bar chart displays the population of the top 10 countries from the UN Population 2019 dataset. React components render SVG rectangles for each bar, with the x-axis scaled by `d3.scaleLinear` and the y-axis using categories from `d3.scaleBand`. The code defines reusable `AxisBottom`, `AxisLeft`, and `Marks` components, and loads data asynchronously with `d3.csv` inside a custom `useData` hook, while D3 utilities like `max` and `scaleBand` handle the scaling logic.

Jjwlam83

93% match