Refactored Bar Chart

100%

Refactored Bar Chart

✓ Published1🌍 Public

Last edited Mar 5, 2023

Created on Mar 5, 2023

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.

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

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

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

95% 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

95% 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

95% match

Loading thumbnail…

Refactored Bar chart

This example shows a horizontal bar chart of the top 10 countries by population, using data loaded from a publicly hosted CSV of the 2019 UN population estimates. The chart renders population values on the x-axis and country names on the y-axis using SVG. The code builds the visualization with React components for the axes and marks, while D3’s `csv`, `scaleBand`, `scaleLinear`, and `max` utilities handle data loading and coordinate mapping. React state manages the asynchronous data fetch, and the axes are drawn as reusable function components.

Kkragovic

95% 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

95% match

Loading thumbnail…

Refactored Bar Chart

This bar chart visualizes the top 10 countries by 2020 population using data from the UN Population 2019 dataset, loaded via D3’s `csv` utility. Built with React and D3 v5, it encodes population with a linear x-scale (`scaleLinear`) and country names with a band scale (`scaleBand`) for the y-axis. The SVG rendering is composed of custom components for axes (`AxisBottom`, `AxisLeft`) and bars (`Marks`), with React state managing the asynchronous data loading.

SSarah Elkeurti

95% match

Loading thumbnail…

Refactored Bar Chart

This example displays the population of the top ten countries from the UN Population 2019 dataset as a horizontal bar chart. React components render the SVG marks and axes, while D3 utilities handle the data loading and scale calculations. The chart uses a `scaleBand` for the categorical y-axis, a `scaleLinear` for the quantitative x-axis, and `csv` for fetching the data. Each component (`AxisBottom`, `AxisLeft`, `Marks`) is modularized and receives the scales and data via props, highlighting a reusable and refactored architecture for visualization.

Wwindwaver

95% match