Refactoring Bar Chart

100%

Refactoring Bar Chart

✓ Published0🌍 Public

Last edited Jan 1, 2022

Created on Jan 1, 2022

This example visualizes the top 10 most populous countries as a horizontal bar chart, using population data from the United Nations World Population Prospects 2019. The visualization renders bars via SVG `<rect>` elements, with axes built from D3 v5 scales (`scaleBand` and `scaleLinear`) and React components for the axes and marks. The code also includes a custom tooltip via an SVG `<title>` element and uses D3’s `csv` loader to fetch the data.

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…

Refactored Bar Chart

This example presents the top 10 most populous countries as a horizontal bar chart, with country names on the y-axis and population values on the x-axis, sourced from the United Nations World Population Prospects 2019. The visualization is built with React and D3 v5, using `scaleBand` and `scaleLinear` to position bars and axes, while SVG `<rect>` elements render the marks. The code separates concerns into reusable components for the bottom axis, left axis, and marks, and loads data asynchronously via D3’s `csv` parser.

Aamiteshwarr

96% match

Loading thumbnail…

Refactored bar chart

This chart displays the top 10 most populous countries as horizontal bars ranked by population, with axes providing clear quantitative and categorical context. The visualization is built with React and D3 v5, using React components to render SVG elements while d3’s `scaleBand`, `scaleLinear`, and `format` handle positioning and tick labels. Data comes from the United Nations World Population Prospects 2019 CSV, processed through d3’s `csv` function. Tooltips on each bar reveal exact population values via native SVG `title` elements.

TThiago Sawada

96% match

Loading thumbnail…

Refactored Bar Chart

This example shows the top 10 most populous countries from the United Nations World Population Prospects 2019 dataset as horizontal bars, with axes displaying country names and population values. The visualization uses React 16.9 and D3 v5, rendering SVG through React components. D3’s `scaleBand` and `scaleLinear` map the data to positions, while custom `AxisBottom` and `AxisLeft` components generate tick marks and labels. The `useData` hook loads the CSV and truncates it to ten rows before rendering the rectangles.

CCurran Kelleher

96% match

Loading thumbnail…

Refactoring a Bar Chart

This example displays the top 10 most populous countries as a horizontal bar chart, with country names along the y-axis and population values on the x-axis. Built with React and SVG, it uses reusable components to render the bottom axis, left axis, and bars, with scales created via d3.scaleBand and d3.scaleLinear. Data is loaded asynchronously from a 2019 United Nations population CSV using d3.csv, and the visualization responds to loading with a placeholder text.

Ssimontoblad

95% match

Loading thumbnail…

Refactoring a Bar Chart

This example displays the top 10 most populous countries as horizontal bars, using population data from the United Nations World Population Prospects 2019. The React app loads the CSV with d3.csv and renders bars with SVG rect elements, scaling positions with d3.scaleBand and d3.scaleLinear. It also generates rudimentary axis ticks via d3.scaleLinear’s ticks method, despite lacking full axis labels or gridlines.

JJacob Potvin

95% match

Loading thumbnail…

Refactor Bar Chart

This visualization displays the top 10 most populous countries as horizontal bars, using React to render SVG elements and D3 scales to map country names and population values to screen coordinates. The code builds the chart by composing separate components for the axes and marks, with D3’s `scaleBand` and `scaleLinear` handling the data-to-pixel transformations. Data comes from the United Nations World Population Prospects 2019 CSV, loaded via D3’s `csv` function. The final chart includes axis lines and labels, positioning them relative to the margins and inner chart dimensions.

KKaiXuan Chin

95% match

Loading thumbnail…

Refactored Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, using data from the United Nations World Population Prospects 2019. The chart is built with React and D3 v5, using `scaleBand` for the y-axis and `scaleLinear` for the x-axis. The `useData` hook loads a CSV via `d3.csv`, slices the first 10 rows, and renders the bars as SVG `<rect>` elements within a React component tree, with separate components for the axes and marks.

AAriana

95% match

Loading thumbnail…

Refactored Bar Chart

This example shows the top 10 most populous countries as horizontal bars, with country names on the left axis and population values on the bottom axis. The chart is built with React and D3 v5, using `scaleBand` and `scaleLinear` for positioning, and renders SVG rectangles via the `Marks` component. Data comes from the United Nations World Population Prospects 2019, loaded with `d3.csv`. Axes are drawn using custom components that leverage D3’s tick methods.

SSam

95% match