Bar Chart Review

100%

Bar Chart Review

✓ Published1🌍 Public

Last edited May 4, 2020

Created on Apr 28, 2020

This example shows a horizontal bar chart ranking the top 10 most populous countries, with population values on the x-axis and country names on the y-axis. The code uses React with D3 v5, loading data from a CSV file via `d3.csv` and rendering SVG elements. It employs `d3.scaleLinear` and `d3.scaleBand` for positioning, `d3.axisLeft` and `d3.axisBottom` for axes, and custom tick formatting with `d3.format` to abbreviate large numbers (e.g., converting billions to "B"). The bars are drawn via a data join, with a title and axis label added as text elements.

AI-generated description

React Starter code.

MIT Licensed

Similar vizzes

Loading thumbnail…

Making a Bar Chart

This example shows a bar chart of the top 10 most populous countries, with population values on the x-axis and country names on the y-axis. It uses React and D3 v5 to load data from a CSV file via `d3.csv`, then renders the chart as SVG. The code employs `d3.scaleLinear` and `d3.scaleBand` for positioning bars, and `d3.axisLeft` and `d3.axisBottom` for tick marks. The chart includes a title and a labeled x-axis, with bars styled in steel-blue via CSS.

Jjufrank

94% match

Loading thumbnail…

Bar chart

This example displays a horizontal bar chart ranking the top 10 most populous countries, using population data loaded from a CSV file via `d3.csv`. The chart uses `d3.scaleLinear` for the x-axis, `d3.scaleBand` for the y-axis, and renders bars as SVG `rect` elements. Axes are generated with `d3.axisLeft` and `d3.axisBottom`, with tick formatting applied through `d3.format` to abbreviate numbers. The visualization is built with React, D3 v6, and SVG rendering.

JJordy Fronik

94% match

Loading thumbnail…

Bar Chart Example

This horizontal bar chart displays the top 10 most populous countries, using population data loaded from a CSV file. The visualization uses React with D3 v5’s `scaleLinear` and `scaleBand` to map values, while `axisLeft` and `axisBottom` with tick formatting render the axes. SVG elements are appended directly to the DOM, with grid lines created via tick size and styled bars filled in steelblue.

NNico Donovan

93% match

Loading thumbnail…

Bar Chart Creation

This example shows a horizontal bar chart of the top 10 most populous countries in 2020, using a D3 scaleBand for the y-axis and a scaleLinear for the x-axis. Built with React, it loads CSV data via d3.csv and renders SVG rectangles for each bar. The chart includes formatted population labels on the bottom axis using d3.format, with axis components defined in separate React files. The x-axis label, axis ticks, and bar styling are all customized through CSS classes.

KKtuzinowski

92% match

Loading thumbnail…

Making a Bar Chart

This example shows a horizontal bar chart of the top 10 most populous countries, with population values on the x-axis and country names on the y-axis. It uses D3 v6’s `scaleLinear`, `scaleBand`, `axisLeft`, and `axisBottom` APIs within a React-free SVG rendering. The data is loaded from a CSV file and parsed by multiplying the population column by 1000. Grid lines are drawn via tick size customization, and the left axis’s domain and tick lines are removed for a cleaner look.

Eestulo

92% match

Loading thumbnail…

Lets make a BarChart

A bar chart displays the top 10 most populous countries, with horizontal bars ordered by rank and sized by population in thousands. The chart uses D3 v5’s `scaleLinear` and `scaleBand` to map population values and country names, with `axisLeft` and `axisBottom` providing labeled ticks. Population data is loaded from a CSV file via `d3.csv`. The React framework wraps the rendering, which outputs SVG elements styled with steelblue rectangles and custom text for the title and axis labels.

Llukastieber

92% match

Loading thumbnail…

Bar chart with React & D3

This example presents a horizontal bar chart of the top 10 most populous countries in 2020, using data loaded from a CSV file via `d3.csv`. The chart uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis, with grid lines generated from `xScale.ticks()`. React manages the application state and renders the SVG output, displaying an initial "Loading..." message before the data arrives. The bars are drawn as SVG `<rect>` elements within a translated `<g>` group, with the entire visualization rendered using React DOM.

Kkatjur01

92% 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

92% match