barchart

100%

✓ Published0🌍 Public

Last edited Jan 13, 2022

Created on Jan 6, 2022

This visualization displays a horizontal bar chart of the top 10 most populous countries, using data from the United Nations World Population Prospects 2019. Bars are drawn as SVG rectangles, with lengths proportional to each country's 2020 population. The chart uses React with D3 v5 for data fetching and scaling, specifically employing `d3.csv` for parsing the dataset, `d3.scaleBand` for y-axis positioning, and `d3.scaleLinear` for x-axis lengths. No axes or labels are included.

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…

Barchart population

This example visualizes the top 10 most populous countries in 2020 using a horizontal bar chart, with bar lengths proportional to each country's population. The visualization loads UN population data from a CSV file via `d3.csv` and renders the bars as SVG rectangles. React manages the component state and rendering, while D3’s `scaleBand` and `scaleLinear` map country names to vertical positions and population values to bar widths. The code initially displays a loading placeholder until the data arrives asynchronously.

SSamuele Greco

93% match

Loading thumbnail…

barchart

This bar chart displays the top 10 most populous countries, with horizontal bars representing each nation’s population in billions. The visualization renders as an SVG, using React and D3 v5, with `d3.csv` loading data from a CSV file. It employs `scaleLinear` for the x-axis, `scaleBand` for the categorical y-axis, and `axisLeft`/`axisBottom` for ticks. Bars are appended as SVG `rect` elements, with axis lines removed for a cleaner presentation.

Jjiayuansun

93% match

Loading thumbnail…

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

93% match

Loading thumbnail…

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

92% match

Loading thumbnail…

BarChart

This bar chart displays the top 10 most populous countries for 2020, using horizontal bars where length encodes population. A React app renders SVG elements, with axes generated from D3’s `scaleBand` and `scaleLinear`. The chart includes a bottom axis for population values and a left axis for country names, though the README notes it is a “pathetic bar chart with no axes” despite the code drawing them. Data comes from the United Nations World Population Prospects 2019, loaded via `d3.csv`.

AAlex

92% match

Loading thumbnail…

barChart

This example displays the top 10 most populous countries as horizontal bars, with no axes or labels to guide interpretation. The chart uses React to manage state and render SVG rectangles, while D3’s `scaleBand` and `scaleLinear` map country names to vertical positions and population values to bar widths, respectively. Data comes from the United Nations World Population Prospects 2019 dataset, loaded via D3’s `csv` function and filtered to the first ten rows. The visualization intentionally omits scales, leaving the raw bars to convey relative sizes.

RRahul Gupta

92% match

Loading thumbnail…

Bar Chart

This bar chart displays the top 10 most populous countries using United Nations World Population Prospects 2019 data, loaded via d3.csv. It uses React with d3.scaleBand for the y-axis and d3.scaleLinear for the x-axis, rendered as SVG rect elements. Axes are drawn with custom React components (AxisBottom and AxisLeft), with tick labels formatted using d3.format to convert values to billions.

33ssalunke

92% match

Loading thumbnail…

Refactored Barchart

This example displays the top 10 most populous countries as a horizontal bar chart, with country names on the y-axis and population values along the x-axis. The visualization uses React components with D3’s `scaleBand` and `scaleLinear` to position bars and ticks, rendering SVG elements directly. Data comes from the United Nations World Population Prospects 2019 CSV, loaded via D3’s `csv` function and sorted to the first ten rows. The chart includes an `AxisBottom` component that maps tick values to x-coordinates.

Eevers-codeshop-ai

92% match