Fork of Axes with React & D3

100%

Fork of Axes with React & D3

✓ Published0🌍 Public

Last edited Aug 17, 2023

Created on Aug 17, 2023

This example displays the ten most populous countries as a horizontal bar chart, with bars sized by each country’s projected 2020 population. The visualization uses React for component rendering and SVG for graphical output, while D3’s `scaleBand` and `scaleLinear` position the bars and d3’s `csv` loads the United Nations World Population Prospects 2019 data. Axes are drawn manually using D3’s tick and scale methods, mapping population values to pixel widths and country names to vertical bands.

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 Axes with React & D3

This example visualizes the top 10 most populous countries as a horizontal bar chart with axes, using React for component structure and D3 for data loading and scales. The chart displays population values from the United Nations World Population Prospects 2019 dataset on the x-axis, while country names appear on the y-axis. The code uses D3’s `csv`, `scaleBand`, `scaleLinear`, and `max` functions to process data and position bars, with tick marks and labels generated manually via `xScale.ticks()`. All elements are rendered as SVG through React’s declarative JSX, with margins applied via a transform group.

Mmedi11

97% match

Loading thumbnail…

Fork of Axes with React & D3

This example renders the top 10 most populous countries as a horizontal bar chart using React and D3 v5. The bars and manually constructed axes are drawn as SVG elements inside a React component, with scales created via `d3.scaleBand` and `d3.scaleLinear`. Tick marks and labels are generated by iterating over the scales' domains, and the data comes from the United Nations World Population Prospects 2019 CSV. The chart displays population values for 2020, with no axes library used, only custom rendering.

Jjth500

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries, using data from the United Nations World Population Prospects 2019. The visualization renders as SVG with React managing the component state and D3’s `scaleBand`, `scaleLinear`, and `max` utilities handling the scales and data transformations. Axes are drawn manually with D3’s tick methods, positioning grid lines and labels. The bars use the `rect` SVG element, with each bar’s width proportional to the country’s 2020 population.

EEbdulmomen Ahmed

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays a horizontal bar chart of the top 10 most populous countries, with population values from the United Nations World Population Prospects 2019. The visualization shows a basic bar chart with axes rendered using React and D3 v5. The code uses `d3.csv` for loading data, `d3.scaleBand` and `d3.scaleLinear` for positioning, and manually renders axis ticks and labels as SVG elements. React manages the chart's state and rendering, while D3 handles data loading and scaling.

Ddsibi

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example displays the top 10 most populous countries as horizontal bars, with a quantitative x-axis and a categorical y-axis. It uses React for the component structure and D3 v5’s `scaleBand` and `scaleLinear` to map country names and population values to pixel coordinates, while D3’s `csv` loads United Nations World Population Prospects 2019 data. The chart is rendered as SVG, with axis tick marks, labels, and rectangles generated from D3 scales and rendered via React elements.

FFernando Millan

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example renders the top 10 most populous countries as horizontal bars using React for component structure and D3 for scales and data loading. It uses `scaleBand` and `scaleLinear` from D3 to map countries and population values to pixel positions, while manually drawing tick marks and labels for both axes. The data comes from the United Nations World Population Prospects 2019 CSV, and the SVG output demonstrates a minimal, self-contained approach to axis generation without D3 axis components.

NNart Williamson

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example shows the top 10 most populous countries as a horizontal bar chart. The visualization uses React for component structure and D3 v5 for data loading and scales, with axis marks and tick labels rendered manually. Data comes from the United Nations World Population Prospects 2019, loaded via d3.csv. The chart displays country names on the y-axis and population values on the x-axis, using d3.scaleBand and d3.scaleLinear to position bars and ticks.

GGustavo

96% match

Loading thumbnail…

Fork of Axes with React & D3

This example visualizes the top 10 most populous countries as a horizontal bar chart, with the y-axis listing countries and the x-axis showing population counts. The chart uses React hooks (useState, useEffect) to fetch data from the United Nations World Population Prospects 2019 CSV, while D3 v5 provides the scaleBand and scaleLinear for positioning. Axes are manually constructed with D3’s tick generation and rendered as SVG elements, including vertical grid lines and text labels. The bars are simple SVG rectangles, with the chart wrapped in a React component and rendered via ReactDOM.

Jjpdlourenco98

96% match