Skip to main content
SimilarExport ZIP
100%

Untitled

✓ Published0🌍 Public
JJiapengFan
Last edited Apr 29, 2020
Created on Apr 26, 2020
Forked from Stylized Bar Chart

A bar chart displays the top 10 most populous countries for 2020, using data from the United Nations World Population Prospects 2019. Horizontal bars encode population with a linear scale, while country names appear on the y-axis. The visualization is built with React, using `d3.csv` for data loading, `scaleBand` and `scaleLinear` for scales, and SVG rectangles for rendering. Tooltips show formatted population values, and axis labels are drawn as SVG text.

AI-generated description

A program that shows the top 10 most populous countries as a bar chart.

Data: United Nations World Population Prospects 2019.

MIT Licensed

Similar vizzes

Loading thumbnail…

Untitled

This bar chart displays the top 10 most populous countries in 2020, using horizontal bars to compare population sizes. The visualization loads data from a United Nations World Population Prospects 2019 CSV file via d3.csv, then renders it with React and SVG. The code uses d3.scaleBand for the y-axis, d3.scaleLinear for the x-axis, and d3.format to abbreviate tick labels (e.g., converting billions to "B"). Each bar includes a native SVG title tooltip showing the population value, with axes and labels rendered as custom React components.

Ssamemurk21
96% match
Loading thumbnail…

Untitled

This bar chart displays the top 10 most populous countries for the year 2020, using data from the United Nations World Population Prospects 2019. The visualization uses a horizontal bar layout, where each bar’s length encodes population, with a formatted axis label converting values into a readable "B" (billions) format. Built with React and D3 v5, the code constructs a linear scale (`d3.scaleLinear`) for the x-axis and a band scale (`d3.scaleBand`) for the categorical y-axis. The rendering is SVG-based, with interactive tooltips showing exact population values on hover. The chart is styled with a teal color for bars and a clean sans-serif font, presenting the data in an accessible, static format.

HHaileabGH
95% match
Loading thumbnail…

Untitled

This interactive bar chart displays the ten most populous countries in the world, using horizontal bars to compare their 2020 population estimates. Built with React and D3 v5, the visualization renders as an SVG, with scales and axes created through `d3.scaleBand` and `d3.scaleLinear`. Data is loaded from a CSV file of the UN World Population Prospects 2019, with population values formatted into billions. The chart includes labeled axes, tick marks, and tooltips that appear on hover for each bar.

HHaileabGH
94% match
Loading thumbnail…

Untitled

A horizontal bar chart displays the ten most populous countries in 2020, with population values encoded as bar lengths. The visualization uses React and D3 v5, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. The `AxisBottom` and `AxisLeft` components render tick marks and labels, while `Marks` creates the rectangular bars. Population data comes from the United Nations World Population Prospects 2019, loaded via D3's `csv` function and formatted with `format`.

HHaileabGH
94% match
Loading thumbnail…

Untitled

This example displays a horizontal bar chart of the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset. The bars are rendered as SVG rectangles using React, with scales from d3.scaleBand and d3.scaleLinear mapping country names and population values. Axes are generated as custom React components, with the x-axis formatted using d3.format to abbreviate numbers in billions. The chart uses a Poppins font and teal-colored bars, with data loading handled asynchronously via d3.csv.

Iinnocent thomas
94% match
Loading thumbnail…

Bar Chart

This bar chart displays the top 10 most populous countries for 2020, using data from the United Nations World Population Prospects 2019. The visualization employs React components for rendering and d3.js functions like `scaleBand`, `scaleLinear`, and `max` to map countries and their populations. The chart is drawn as an SVG, with horizontal bars and labeled axes, and includes interactive tooltips showing population values in a formatted, shortened notation.

RRay Yang
94% match
Loading thumbnail…

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
93% match
Loading thumbnail…

Untitled

This example shows a bar chart of the top 10 most populous countries, using data from the United Nations World Population Prospects 2019. The React-based visualization uses d3.v7 with SVG rendering, employing `scaleBand` for the y-axis and `scaleLinear` for the x-axis. The `Marks` component renders each bar as a `rect`, with tooltips providing exact population values via the `title` element. Axis components handle tick formatting and labels, while the `useData` hook asynchronously loads the CSV dataset with d3.csv.

HHarsh kumar
93% match