Horizontal Bar Graph

Bar Chart

This bar chart displays the top 10 most populous countries in 2020, with horizontal bars sorted by population. Built with React and D3 v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, rendering SVG rectangles via the `Marks` component. Tooltips show formatted population values using D3’s `format` with SI prefixes. Data comes from the United Nations World Population Prospects 2019, loaded asynchronously with `csv`.

Llimenzi

Bar Chart

This bar chart displays the top 10 most populous countries based on 2020 UN Population data, with horizontal bars showing each country’s population count. The visualization uses React with D3 v5’s `scaleBand` and `scaleLinear` to map country names and population values to screen coordinates. SVG `<rect>` elements render the bars, while custom axis components generate tick marks and labels using D3’s `ticks()` and `format()` APIs, with population values formatted using the SI prefix format (e.g., “1.4B”).

Nnghosh319

Bar Chart

This example visualizes the top 10 most populous countries as horizontal bars using React and D3 v5. The chart lacks axes, displaying only labeled bars with lengths proportional to each country’s 2020 population estimate. Data comes from the United Nations World Population Prospects 2019 CSV file, loaded via `d3.csv`. The code uses `d3.scaleBand` for vertical positioning, `d3.scaleLinear` for bar widths, and renders SVG elements within a React component using hooks.

YYohR

bar graph-1

This bar chart displays the ten most populous countries based on 2019 United Nations population estimates, with country names on the vertical axis and population on the horizontal axis. Built with React and D3 v5, the visualization uses `scaleBand` for the categorical axis, `scaleLinear` for the continuous axis, and renders SVG rectangles with tooltips. The code loads the data using `d3.csv` from a GitHub gist and formats population values using `d3.format`.

SSheela2930

Bar Chart

This visualization displays the top 10 most populous countries using horizontal bars, with country names on the y-axis and population values on the x-axis. It is built with React and D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, rendering as SVG. Population data comes from the United Nations World Population Prospects 2020, loaded via `d3.csv`, with tooltips showing formatted values. The chart includes styled axes and labels, with a teal fill for each bar.

Hhariveda-git

Stylized Bar Chart

This stylized bar chart displays the top 10 most populous countries in 2020, using horizontal bars sorted by population size. The visualization is built with React and D3 v5, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Data comes from the United Nations World Population Prospects 2019 dataset, loaded via D3’s `csv` method. SVG rendering includes styled axes with tick lines, a population axis label, and tooltips using the native `<title>` element.

Mmb152

Ddanielscheeper@gmail.com

Bar chart

This example displays the top 10 most populous countries for 2020 as a horizontal bar chart, using rectangular SVG elements scaled by population size. The data comes from a UN Population CSV file, loaded with `d3.csv`. React manages the component state and rendering, while D3 v7 provides `scaleBand` for country positions on the y-axis and `scaleLinear` for population on the x-axis, with `max` determining the domain.

UN population graph

This visualization displays the top 10 most populous countries using horizontal bars, ordered by country name with population shown on the x-axis in billions. The chart is built with React and D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` with a maximum domain for the numeric x-axis. Data comes from the UN Population 2019 CSV, loaded via `d3.csv`, and rendered as SVG. Axis components and tick marks are generated from `d3.ticks`, formatted with `d3.format`, with tooltips showing exact values via SVG `<title>` elements.

JJulia Hack