Skip to main content
SimilarExport ZIP
100%

rao

✓ Published0🌍 Public
RRakshithaRao27
Last edited Mar 6, 2022
Created on Mar 6, 2022

This example displays a horizontal bar chart of the top 10 most populous countries, ranking them by the number of deaths in India. The visualization uses React to manage state and render the SVG, while D3 v5 handles data loading, scales, and axes. The code fetches data from a CSV file using `d3.csv`, then applies `scaleBand` for the categorical country axis and `scaleLinear` for the numeric death count axis, drawing rectangles for each bar.

AI-generated description

A bare minimum HTML page demonstrating use of CSS and JavaScript.

See also React Starter.

MIT Licensed

Similar vizzes

Loading thumbnail…

rao

This example visualizes the top 20 most populous countries ranked by deaths in India, using a horizontal bar chart. The chart displays each year on the y-axis and the corresponding death count on the x-axis, with bars sized proportionally to the data values. It uses D3 v5’s `scaleBand` for the categorical year axis, `scaleLinear` for the numeric scale, and React for rendering SVG elements. Data is loaded asynchronously via `d3.csv` from an external URL, and axes are drawn manually with SVG `line` and `text` elements.

RRakshithaRao27
96% match
Loading thumbnail…

rao

This bar chart displays the top 10 most populous countries, drawing data from a CSV file. The visualization uses React and D3 to render an SVG with scaleBand for the y-axis and scaleLinear for the x-axis. Bars represent the death count for 2018, and the chart includes labeled axes and tick marks.

RRakshithaRao27
95% match
Loading thumbnail…

rao1

This chart visualizes the top 10 most populous countries using horizontal bars, based on data loaded from a CSV file hosted on GitHub. Each bar’s length represents a country’s population, with axes labeled by country name and population value. The visualization is built with React for component structure and D3 v5 for scales and data handling. SVG is used for rendering, with scaleBand and scaleLinear defining the chart’s layout.

RRakshithaRao27
90% match
Loading thumbnail…

raks

This visualization shows the top 10 countries by deaths in India, rendered as horizontal bars across a purple background with a title and axes. The chart uses a bar chart layout where the bar lengths represent population values, with country names on the y-axis and numeric values on the x-axis. The implementation uses React for the component structure, with D3 v5's `scaleBand` and `scaleLinear` for scaling, and `csv` for data loading from a GitHub-hosted dataset. SVG elements—including `rect` for bars and `line` for gridlines—are generated within the React return, all styled via CSS.

RRakshithaRao27
89% match
Loading thumbnail…

rakshi

This chart ranks the top 10 most populous countries, displaying their 2019 death counts as horizontal bars. The visualization uses a bar chart format, with the x-axis representing death counts and the y-axis listing country names. Built with the React framework and D3 v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Data is loaded from a remote CSV file via D3's `csv` function. The SVG rendering is produced by React JSX elements, with styled grid lines and labels.

RRakshithaRao27
86% match
Loading thumbnail…

raorakhi

This example displays a horizontal bar chart of the top 10 most populous countries in 2019, using a dataset loaded from a CSV file. The visualization is built with React and D3 v5, where React manages the component state and rendering, while D3 handles data loading, scales, and axes. The chart uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, with the bars rendered as SVG rectangles. The page includes a title and the plot within a fixed-width SVG canvas.

RRakshithaRao27
86% match
Loading thumbnail…

rakshitharao27

This horizontal bar chart displays the number of deaths in 2019 for the top 12 countries, with each bar's length representing the death count. The chart uses a React component that loads data from a CSV file via the `d3.csv` function. It employs `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the numerical x-axis. The visualization renders as an SVG with axes and bars constructed using React primitives, styled with simple CSS.

RRakshithaRao27
85% match
Loading thumbnail…

rakshitha

This visualization shows the top 10 most populous countries as a horizontal bar chart, using a bar length to represent each country's population. The chart is rendered as an SVG within a React application, with D3 v5 handling the data loading, scales, axes, and tick generation. Population data is loaded from a CSV file via `d3.csv`, and the bars are drawn using React elements for each data point. The chart includes a linear x-axis and a band y-axis, with grid lines and labels generated by iterating over D3 scale ticks.

RRakshithaRao27
84% match