Skip to main content
SimilarExport ZIP
100%

Bar Chart I

✓ Published1🌍 Public
FFonda Irena Santoso
Last edited Apr 21, 2021
Created on Apr 21, 2021

This bar chart displays the top 10 countries by population in 2020, sorted alphabetically, with bars extending horizontally to represent each country’s population value. The data is loaded asynchronously from a CSV file using D3’s `csv` function, and the visualization is built with React components rendering SVG `rect` elements. D3’s `scaleBand` and `scaleLinear` map country names to vertical positions and population counts to bar widths, respectively. The chart updates its layout only after the data finishes loading, showing a loading message beforehand.

AI-generated description

A program that loads in some data about CSS named colors using D3 utilities, and uses React to render the data as a radial burst!

MIT Licensed

Similar vizzes

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
95% 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
94% 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
94% match
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 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
93% match
Loading thumbnail…

Bar Chart D3

This example displays a horizontal bar chart of the top ten countries by 2020 population, using bars that scale in length according to each country's population value. The visualization loads data from a CSV file via D3's `csv` utility and manages the data with React's `useState` and `useEffect` hooks. It renders SVG rectangles positioned using D3's `scaleBand` for the y-axis and `scaleLinear` for the x-axis, all within a fixed 960 by 500 pixel canvas.

Ccynichole
93% match
Loading thumbnail…

Creating Bar Chart

This bar chart visualizes the top ten countries by 2020 population, using horizontal bars whose lengths correspond to population values from a CSV dataset. The visualization is built with React and D3 v6, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Data is loaded asynchronously via `d3.csv` and rendered as SVG rectangles, with the chart updating dynamically after the data arrives.

Yyjhouma
93% match
Loading thumbnail…

Bar chart with D3

This bar chart displays the population of the top 10 countries for 2020, using horizontal bars sorted by country name. The chart is built with React and D3 v5, rendering SVG elements. The code defines custom `AxisBottom`, `AxisLeft`, and `Marks` components, using D3's `scaleBand` and `scaleLinear` for scales and `format` for tick labels. Data is loaded from a CSV URL using `d3.csv`, and population values are computed by multiplying the '2020' column by 1000.

Eekmankaur
92% match