Refactored Bar Graph

100%

Refactored Bar Graph

✓ Published1🌍 Public

Last edited May 25, 2021

Created on May 25, 2021

This visualization shows the 10 most populous countries in 2020 using horizontal bars, with country names on the y-axis and population values scaled on the x-axis. The graph is built with React components that render SVG elements, using D3’s `scaleBand` and `scaleLinear` for positioning and sizing, while axis tick marks are generated with `xScale.ticks()`. Data comes from the United Nations World Population Prospects 2019, loaded via `d3.csv` and filtered to the top ten entries. The code organizes reusable components for axes and marks, demonstrating a modular approach to chart construction in React with D3.

AI-generated description

Data: United Nations World Population Prospects 2019.

MIT Licensed

Similar vizzes

Loading thumbnail…

Refactored Bar Chart

This example presents the top 10 most populous countries as a horizontal bar chart, with country names on the y-axis and population values on the x-axis, sourced from the United Nations World Population Prospects 2019. The visualization is built with React and D3 v5, using `scaleBand` and `scaleLinear` to position bars and axes, while SVG `<rect>` elements render the marks. The code separates concerns into reusable components for the bottom axis, left axis, and marks, and loads data asynchronously via D3’s `csv` parser.

Aamiteshwarr

94% match

Loading thumbnail…

Refactored bar chart

This chart displays the top 10 most populous countries as horizontal bars ranked by population, with axes providing clear quantitative and categorical context. The visualization is built with React and D3 v5, using React components to render SVG elements while d3’s `scaleBand`, `scaleLinear`, and `format` handle positioning and tick labels. Data comes from the United Nations World Population Prospects 2019 CSV, processed through d3’s `csv` function. Tooltips on each bar reveal exact population values via native SVG `title` elements.

TThiago Sawada

94% match

Loading thumbnail…

Refactored bar chart

This bar chart displays the top 10 most populous countries as vertical bars ordered along a categorical y-axis, with population values mapped along a linear x-axis. The chart is rendered in SVG using React components for axes and marks, with scales created via `d3.scaleBand` and `d3.scaleLinear`. Data is loaded asynchronously using `d3.csv` from the United Nations World Population Prospects 2019 dataset, displaying 2020 population figures.

11tang

94% match

Loading thumbnail…

Refactored Bar Chart

This bar chart displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset. Built with React and D3 v5, it uses SVG rendering to draw horizontal bars representing each country's population. The code separates concerns into reusable components for axes and marks, with D3's `scaleBand` and `scaleLinear` handling the coordinate mappings. Data is loaded asynchronously using D3's `csv` function and the first ten rows are selected for display.

RRudy Shayganfar

94% match

Loading thumbnail…

Refactored Bar Chart

This example shows a bar chart of the top 10 most populous countries, with values plotted along a linear scale and country names on an ordinal axis. The visualization is rendered as SVG on a white background, using React for component structure and D3.js (v5) for scales and data loading. The data is fetched from the United Nations World Population Prospects 2019 CSV via D3’s `csv` helper, then sliced to the first ten entries. The chart is divided into four React components—axes and marks—each taking scales and dimensions as props, demonstrating a modular, refactored approach to building D3 visualizations within a React framework.

YYohR

94% match

Loading thumbnail…

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

94% match

Loading thumbnail…

Refactored bar chart

This example presents a horizontal bar chart of the ten most populous countries, with no axes. It uses React and D3 v5's `scaleBand` and `scaleLinear` to position bars, while manually rendering tick marks and labels for both axes. Data comes from the United Nations World Population Prospects 2019 CSV, filtered to the top ten entries via `d3.csv`. The SVG output is generated entirely through React components, with loading state handled by a custom `useData` hook.

SSreekar Reddy

93% match

Loading thumbnail…

Refactor Bar Chart

This visualization displays the top 10 most populous countries as horizontal bars, using React to render SVG elements and D3 scales to map country names and population values to screen coordinates. The code builds the chart by composing separate components for the axes and marks, with D3’s `scaleBand` and `scaleLinear` handling the data-to-pixel transformations. Data comes from the United Nations World Population Prospects 2019 CSV, loaded via D3’s `csv` function. The final chart includes axis lines and labels, positioning them relative to the margins and inner chart dimensions.

KKaiXuan Chin

93% match