Fork of Refactored Bar Chart

100%

Fork of Refactored Bar Chart

✓ Published0🌍 Public

Last edited Jan 20, 2022

Created on Jan 20, 2022

This example visualizes the top 10 most populous countries using horizontal bars, with the country names on the y-axis and population values mapped to bar lengths along the x-axis. The chart is rendered as SVG using React, with D3’s `scaleBand` and `scaleLinear` handling the axes and scaling. Custom React components (`AxisBottom`, `AxisLeft`, `Marks`) generate the tick marks and rectangles, while D3’s `csv` loads data from the United Nations World Population Prospects 2019 dataset. The chart includes axes with tick labels, improving readability over a bare bar display.

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…

Fork of Refactored Bar Chart

This example visualizes the top 10 most populous countries as a horizontal bar chart. The chart uses SVG rectangles for the bars, with D3’s scaleBand and scaleLinear for positioning, and custom React components (AxisBottom, AxisLeft, Marks) for rendering axes and marks. Data is loaded from a CSV file of United Nations World Population Prospects 2019 using d3.csv.

Jjwesterlund412

97% match

Loading thumbnail…

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries as horizontal bars, with the country name on the y-axis and population on the x-axis, based on United Nations World Population Prospects 2019 data. The visualization is rendered as an SVG using React and D3 v5, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Custom React components (`AxisBottom`, `AxisLeft`, and `Marks`) draw the axes and rectangles, while `d3.csv` loads the remote dataset and `d3.max` calculates the domain.

Wweny1109

97% match

Loading thumbnail…

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries as horizontal bars, with country names on the left and a linear population scale along the bottom. It uses React to render SVG elements, with D3’s `scaleBand` and `scaleLinear` for positioning and scaling. The data comes from the United Nations World Population Prospects 2019, loaded via `d3.csv` and sliced to the first ten rows. Axes are custom components using D3 tick generation.

BBetty

97% match

Loading thumbnail…

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries as horizontal bars, using React for component structure and D3 v5 for scales and data loading. The chart renders as SVG, with `d3.scaleBand` positioning categorical country labels on the y-axis and `d3.scaleLinear` mapping population values to bar widths. Axis components (`AxisBottom`, `AxisLeft`) draw tick marks and labels from the scales, while `Marks` generates each rectangle. Data comes from the United Nations World Population Prospects 2019 CSV, loaded asynchronously with D3’s `csv` function.

KKIRRAN P L

97% match

Loading thumbnail…

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart, with country names on the left axis and population values along the bottom axis. It uses React components to render SVG elements, with D3 v5’s `scaleBand` and `scaleLinear` for positioning and scaling, and manually drawn axis components (`AxisBottom`, `AxisLeft`) to avoid D3 axis helpers. Data is loaded asynchronously via `useData` and D3’s `csv` from the United Nations World Population Prospects 2019 dataset, with the chart updating once the data arrives.

Ssmeiyin

97% match

Loading thumbnail…

Fork of Refactored Bar Chart

This example visualizes the top 10 most populous countries as horizontal bars, using SVG rendering within a React app. The chart displays population values against country names, with no axes initially, though it includes bottom and left axis components built from D3 scales. Data comes from the UN World Population Prospects 2019 CSV, loaded via `d3.csv`. The code uses React hooks (`useState`, `useEffect`) and D3 v5 functions like `scaleBand` and `scaleLinear` to position marks and axes, with all rendering handled by React elements.

KKRITIKA RAI DWIVEDI

97% match

Loading thumbnail…

Fork of Refactored Bar Chart

This example shows the top 10 most populous countries as horizontal bars ordered by country name, with no axes initially visible. The visualization uses React components to render SVG elements, leveraging D3 v5 functions like `scaleBand` and `scaleLinear` for positioning. Data comes from the United Nations World Population Prospects 2019 CSV file, loaded via D3’s `csv` parser and filtered to the first ten rows. The chart includes separate React components for axis rendering and bar marks, though the axes are left unlabeled in the final output.

YYedrup

96% match

Loading thumbnail…

Fork of Refactored Bar Chart

This example visualizes the top 10 most populous countries as horizontal bars ordered by population, with axes providing country names and population values. Built with React and D3’s scaleBand and scaleLinear, it renders an SVG chart using the d3-axis.v2 library for tick marks and labels. The data comes from the United Nations World Population Prospects 2019, loaded as CSV via d3.csv in useData.js. The chart includes both a left axis displaying country names and a bottom axis showing population units.

HHONGYI LI

96% match