Skip to main content
SimilarExport ZIP
100%

Fork of Refactored Bar Chart

✓ Published0🌍 Public
Jjcar@vt.edu
Last edited Jun 18, 2024
Created on Jun 18, 2024

This interactive bar chart displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset, with population values encoded as horizontal bar lengths. The React-based visualization uses the D3 v5 APIs `scaleBand`, `scaleLinear`, and `max` to position bars and axes, while rendering marks as SVG `<rect>` elements. It includes custom axis components showing tick values for both the left country labels and bottom population scale.

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 fork of the refactored bar chart displays the top 10 most populous countries based on the United Nations World Population Prospects 2019 data. The chart uses horizontal bars with axes, rendered as SVG elements within a React application. The visualization employs D3 v5 scales for positioning, with `scaleBand` for the categorical y-axis and `scaleLinear` for the continuous population values on the x-axis. Data is loaded asynchronously using D3's CSV parser and processed through custom React components for axes and marks.

JJulienJacquot
96% match
Loading thumbnail…

Fork of Refactored Bar Chart

This bar chart displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset, with countries on the y-axis and population on the x-axis. The visualization uses React to render SVG elements, with the `d3.scaleBand` and `d3.scaleLinear` functions from D3 v5 handling the axis scaling. It includes custom React components for the axes and bars, with the data loaded asynchronously via D3’s `csv` function. The chart also shows a loading message before the data arrives.

PPatric Tysk
96% match
Loading thumbnail…

Fork of Refactored Bar Chart

This horizontal bar chart displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset. The visualization uses React with D3 v5's `scaleBand` for the categorical y-axis and `scaleLinear` for the numerical x-axis, rendering bars as SVG rectangles. The code leverages `csv` from D3 to load data, and includes custom axis components for formatting tick labels with the `format` function. Tooltips provide formatted population values via the `<title>` element.

Zzyniax
95% match
Loading thumbnail…

Fork of Refactored Bar Chart

This bar chart visualizes the top 10 most populous countries using 2020 data from the United Nations World Population Prospects 2019, rendered as horizontal bars with SVG and React. It shows population values with formatted tick labels (e.g., "1.4B") and a tooltip on each bar. The visualization uses d3.scaleBand and d3.scaleLinear for layout, while React components handle axes and marks. The code also includes a custom axis tick formatter that converts SI units from "G" to "B".

Iivipaneva2002@gmail.com
95% match
Loading thumbnail…

Fork of Refactored Bar Chart

This bar chart displays the top 10 most populous countries using data from the United Nations World Population Prospects 2019, rendered as an SVG via React. The visualization uses d3.scaleBand for the y-axis, d3.scaleLinear for the x-axis, and d3.csv to load the dataset. It includes bottom and left axes generated from custom React components, with rectangular marks representing each country’s population. The chart is intentionally minimal, lacking gridlines and other embellishments, and updates reactively when data loads.

NNicolás Troncoso
95% match
Loading thumbnail…

Fork of Refactored Bar Chart

This fork of the refactored bar chart displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset, showing population values for each nation. The visualization uses React to render SVG elements, with D3 v5’s `scaleBand` for the categorical country axis and `scaleLinear` for the population axis. It includes axis components (`AxisBottom` and `AxisLeft`) that generate tick marks and labels, while `Marks` creates rectangles sized by each country’s population. The chart explicitly lacks axis labels or a title, presenting a minimal, bare-bones bar representation.

TTylerSaikaleyTheriault
95% match
Loading thumbnail…

Fork of Refactored Bar Chart

This example displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset as a horizontal bar chart with axes. The React app uses `d3.csv` to load data, `scaleBand` and `scaleLinear` to position bars, and renders SVG via React components for axes and marks. Population values are parsed as numbers and sorted by their 2020 figures.

Vvram80
95% match
Loading thumbnail…

Fork of Refactored Bar Chart

This visualization displays a horizontal bar chart of the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset. Each bar represents a country’s 2020 population estimate, rendered as a colored rectangle. The chart uses React for component structure and D3 v5 functions like `scaleBand` and `scaleLinear` to map data to SVG coordinates, with custom `AxisBottom` and `AxisLeft` components providing tick marks and labels.

PPraveen Kumar S
95% match