Skip to main content
SimilarExport ZIP
100%

Population Bar Chart with margins

✓ Published1🌍 Public
SSam Hege
Last edited Sep 14, 2022
Created on Sep 14, 2022

This visualization displays the top 10 countries by 2020 population as horizontal bars. The chart uses React with hooks to fetch and manage data, while D3 v5 provides the scaling functions—`scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Rendered as SVG, the chart applies fixed margins to position the plot area, loading data from a CSV via a gist URL.

AI-generated description

A program that loads and visualizes some data

MIT Licensed

Similar vizzes

Loading thumbnail…

bar chart

This bar chart displays the top 10 countries by 2020 population, with horizontal bars encoded by length and ordered by country name. The visualization uses React to manage state and render SVG elements, while D3 v7 handles data loading via `csv()` and scales through `scaleBand` and `scaleLinear`. Population data comes from a UN gist CSV file. Loading text appears until data arrives, and the chart currently lacks axis labels or text annotations.

MMalcolm Mead
93% match
Loading thumbnail…

Bar chart

This bar chart displays the top 10 countries by population for 2020, using horizontal rectangles whose widths are proportional to each country’s population. The visualization is built with React and D3 v7, leveraging `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Data is loaded asynchronously from a CSV file via `d3.csv`, filtered to the first ten rows, and rendered as SVG `<rect>` elements. The chart updates reactively once the data arrives, showing a loading message initially.

Aafcchilders
92% match
Loading thumbnail…

Bar chart

This bar chart displays the top 10 countries by population in 2020, using horizontal bars ranked along the y-axis. The visualization loads data from a CSV file, parses the population column, and renders the chart with React and D3 v7. The code uses `scaleBand` for the categorical country axis and `scaleLinear` for the population value axis, mapping data to SVG `rect` elements. A loading message appears until the data is fetched and processed, with the final chart showing varying bar lengths proportional to each country's population.

Rrajamrit-singh
92% match
Loading thumbnail…

Population Bar Chart with axis

A horizontal bar chart displays the top 10 countries by projected 2020 population, with a linear x-axis and categorical y-axis. Bars are drawn as SVG `<rect>` elements, with scales and axis ticks generated using `d3.scaleBand`, `d3.scaleLinear`, and `d3.max`. The chart renders within a React component using React hooks (`useState`, `useEffect`) and updates after loading CSV data asynchronously via `d3.csv`. Data comes from a GitHub-hosted UN Population 2019 dataset.

SSam Hege
92% match
Loading thumbnail…

Bar Chart

This example shows a horizontal bar chart of the top 10 countries by population, with each bar’s length representing the 2020 population estimate. The bars are rendered as SVG `<rect>` elements using React, with scales from `d3.scaleBand` for the country categories and `d3.scaleLinear` for the population values. Data is loaded asynchronously from a CSV file using `d3.csv`, which parses the population column as numbers before the chart updates. The visualization combines D3’s data-loading and scaling utilities with React’s declarative component structure.

SSai Phaltankar
92% match
Loading thumbnail…

Bar Chart 1

This bar chart displays the top 10 countries by their 2020 population, with each country’s population represented by a horizontal bar’s length. The visualization uses React’s `useState` and `useEffect` hooks to asynchronously load CSV data, while d3’s `csv` parser and `scaleBand`/`scaleLinear` functions map country names and population values to screen coordinates. The bars are rendered as SVG `<rect>` elements, with the data sourced from a GitHub Gist and displayed once loading completes.

AAndres Perdomo
92% 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…

Population Bar Chart

This bar chart displays the top 10 countries by projected 2020 population, ranked along the y-axis with horizontal bars extending left. It loads CSV data from a GitHub gist using D3’s `csv` function, parses the population column with a row accessor, and renders the result as SVG rectangles via React. D3’s `scaleBand` positions the country labels, while `scaleLinear` maps population values to bar widths within a fixed 960×500 viewport.

PPratik Gohil
92% match