Fork of Refactored Bar Chart

100%

Fork of Refactored Bar Chart

✓ Published0🌍 Public

Last edited Aug 9, 2021

Created on Aug 9, 2021

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.

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 bar chart displays the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset, using horizontal bars ranked by population. The visualization is built with React and D3.js v5, where the `d3.csv` loader fetches the data, `d3.scaleBand` positions country labels along the y-axis, and `d3.scaleLinear` maps population values to bar widths. Both axes are rendered as SVG elements through custom React components, with the left axis listing country names and the bottom axis showing population ticks. The chart updates reactively once the data loads, displaying all country names and population magnitudes without additional interactivity.

UUtsav Khatu

96% match

Loading thumbnail…

Fork of Refactored Bar Chart

This fork of the refactored bar chart displays the top 10 most populous countries from United Nations World Population Prospects 2019 data, using React and D3 v5. The visualization renders vertical bars whose widths encode population values, with axes generated through D3’s scaleBand and scaleLinear. SVG output is produced via React components, with the `AxisBottom`, `AxisLeft`, and `Marks` components building the chart’s structure and styling.

VVishalojha9111@gmail.com

96% match

Loading thumbnail…

Fork of Refactored Bar Chart

A horizontal bar chart displays the top 10 most populous countries for 2020, using data from the United Nations World Population Prospects 2019. The chart renders with React components and SVG, employing d3.scaleBand for the y-axis, d3.scaleLinear for the x-axis, and custom tick formatting to abbreviate population values. Axes are drawn as React components with d3 scale ticks, and bars include tooltips showing exact population figures.

AAbin

95% match

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

95% match

Loading thumbnail…

Fork of Refactored Bar Chart

This visualization displays the top 10 most populous countries as a horizontal bar chart, using population data from the United Nations World Population Prospects 2019. Built with React and D3 v5, it renders SVG elements through reusable components. The chart uses `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, with `AxisBottom` and `AxisLeft` components generating tick marks and labels. Data is loaded asynchronously via `d3.csv` from a GitHub gist, and bars are drawn as `<rect>` elements whose widths correspond to each country's 2020 population.

KKaushik Mishra

95% 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 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.

Jjcar@vt.edu

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