ram

100%

✓ Published0🌍 Public

Last edited Mar 7, 2022

Created on Mar 7, 2022

Forked from ICE-6: Rendering Marks and Channels with React & D3

This bar chart shows the top 13 countries with the highest number of deaths in 2018, with country names on the y-axis and death counts on the x-axis. The visualization is built with React and D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Data is loaded from a CSV file via `d3.csv`, and the chart is rendered as SVG elements, including gridlines and labeled ticks.

AI-generated description

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

Similar vizzes

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…

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

86% match

Loading thumbnail…

ram

This visualization displays a horizontal bar chart of the top 10 most populous countries in India for 2019, with each bar representing the population count. The chart uses React to manage state and render SVG elements, while D3 v5 provides the scale functions (`scaleBand`, `scaleLinear`) and the `csv` method to load data from a GitHub gist. Axes are drawn manually with `.ticks()` and grid lines, and bar lengths are determined by the `xScale` mapping the maximum population value.

RRakshithaRao27

84% 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

82% match

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

81% 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

81% match

Loading thumbnail…

dea

This example visualizes the top 20 most populous countries, showing the number of deaths per year in a horizontal bar chart. The chart uses D3.js for data processing and scaling, and React for rendering the SVG elements. Data is loaded from a CSV file and the chart displays the y-axis categories and x-axis values, with the bars length proportional to the death counts. The code uses D3's `scaleBand` and `scaleLinear` for the axes, and `csv` to load the data.

RRakshithaRao27

80% match

Loading thumbnail…

Fork of ICE-6

This visualization displays a horizontal bar chart of the top 10 countries with the highest COVID-19 death counts, with country names on the y-axis and death totals on the x-axis. The chart uses React for component structure and D3 v5 modules including `scaleLinear`, `scaleBand`, and `csv` for data loading, rendering as SVG rectangles. Data is sourced from a public CSV file fetched asynchronously, and the bars are styled with a uniform purple fill against a dashed-border title.

Vvegurusaiprathyusha

80% match