Fork of Refactored Bar Chart

100%

Fork of Refactored Bar Chart

✓ Published0🌍 Public

Last edited Aug 17, 2024

Created on Aug 17, 2024

A React-based bar chart displays the top 10 most populous countries in 2020 using United Nations World Population Prospects data, loaded via d3.csv. The visualization draws horizontal bars with d3.scaleBand for the y-axis and d3.scaleLinear for the x-axis, rendered as SVG rect elements within a React component structure. Axis components use d3 scales to generate tick marks and labels, though the chart notably lacks a visible title or axis labels. The code employs React hooks like useState and useEffect for data fetching and state management.

AI-generated description

A program that shows the top 10 most populous countries as a pathetic bar chart with no axes.

Data: United Nations World Population Prospects 2019.

MIT Licensed

Similar vizzes

Loading thumbnail…

Fork of Refactored Bar Chart

A bar chart displays the top 10 most populous countries for 2020, sourced from the United Nations World Population Prospects 2019 via a CSV file. The visualization uses React components with D3 v5 scales and shapes, rendering bars as SVG rectangles. The code constructs a band scale for countries and a linear scale for population, with custom React components for axes and marks, loading data through a `useData` hook that fetches and parses the CSV.

Cchar0496

97% match

Loading thumbnail…

Fork of Refactored Bar Chart

This bar chart displays the top 10 most populous countries using data from the United Nations World Population Prospects 2019, rendered as an SVG via React. The visualization uses d3.scaleBand for the y-axis, d3.scaleLinear for the x-axis, and d3.csv to load the dataset. It includes bottom and left axes generated from custom React components, with rectangular marks representing each country’s population. The chart is intentionally minimal, lacking gridlines and other embellishments, and updates reactively when data loads.

NNicolás Troncoso

97% match

Loading thumbnail…

Fork of Refactored Bar Chart

This fork of a refactored bar chart displays the top 10 most populous countries from United Nations World Population Prospects 2019 data, rendered as horizontal bars without axes. The React-based SVG visualization uses D3 v5’s `scaleBand` for the y-axis and `scaleLinear` for the x-axis, with dedicated components for left and bottom axes and marks. Data is loaded asynchronously from a CSV file using D3’s `csv` function, and the chart is drawn with SVG `<rect>` elements.

Bbillmccabeusa@hotmail.com

96% match

Loading thumbnail…

Fork of Refactored Bar Chart

This fork of a refactored bar chart displays the top 10 most populous countries using horizontal bars, with population values on the x-axis and country names on the y-axis. The visualization uses React components with D3 scales, including `scaleBand` for the y-axis and `scaleLinear` for the x-axis, rendering SVG rectangles as marks. Axes are drawn via custom React components that map D3 ticks to SVG elements, with tooltips formatted using D3’s `format` function. Data comes from the United Nations World Population Prospects 2019, loaded as CSV and processed with D3’s `csv` method.

Sseanmdalrymple@protonmail.com

96% match

Loading thumbnail…

Fork of Refactored Bar Chart

This fork of the refactored bar chart displays the top 10 most populous countries based on the United Nations World Population Prospects 2019 data. The chart uses horizontal bars with axes, rendered as SVG elements within a React application. The visualization employs D3 v5 scales for positioning, with `scaleBand` for the categorical y-axis and `scaleLinear` for the continuous population values on the x-axis. Data is loaded asynchronously using D3's CSV parser and processed through custom React components for axes and marks.

JJulienJacquot

96% match

Loading thumbnail…

Fork of Refactored Bar Chart

This bar chart visualizes the top 10 most populous countries using 2020 data from the United Nations World Population Prospects 2019, rendered as horizontal bars with SVG and React. It shows population values with formatted tick labels (e.g., "1.4B") and a tooltip on each bar. The visualization uses d3.scaleBand and d3.scaleLinear for layout, while React components handle axes and marks. The code also includes a custom axis tick formatter that converts SI units from "G" to "B".

Iivipaneva2002@gmail.com

96% match

Loading thumbnail…

Fork of Refactored Bar Chart

This bar chart displays the top 10 most populous countries using data from the United Nations World Population Prospects 2019, with each bar’s length representing the 2020 population figure. Although the chart lacks an x-axis scale, it renders labels for country names on the left and tick marks along the bottom using React components. The visualization uses d3.scaleBand for the categorical y-axis, d3.scaleLinear for the population values, and SVG rectangles to draw the bars. Data is loaded asynchronously via d3.csv and rendered within a React application built with functional components and hooks.

CChristian Rohrer

96% match

Loading thumbnail…

Fork of Refactored Bar Chart

This visualization displays the top 10 most populous countries as a horizontal bar chart, using data from the United Nations World Population Prospects 2019. It uses React for component composition and d3.v5’s `scaleBand`, `scaleLinear`, and `max` for scales and domain calculation. The chart renders as SVG, with axes constructed via custom `AxisBottom` and `AxisLeft` components, while `Marks` draws the rectangular bars. Data is loaded asynchronously with d3’s `csv` function and filtered to the first 10 rows.

RRoberto

96% match