activity 6_Task 1

100%

activity 6_Task 1

✓ Published0🌍 Public

Last edited Oct 21, 2024

Created on Oct 21, 2024

This visualization is a horizontal bar chart that displays the population of up to 30 countries for the year 2020, sorted in descending order. The chart uses React and SVG rendering, with D3.js (v5) providing the scaling and layout via `scaleBand` and `scaleLinear`. Data is fetched from a remote CSV file using D3’s `csv` function, and the bars are styled as light green rectangles. The x-axis is formatted to display values in billions, with tick marks and labels generated by custom React components.

AI-generated description

An example showing the capabilities of VizHub:

Loads D3 via UNPKG.
Demonstrates use of import from "d3".
Demonstrates use of import from local ES6 modules.

MIT Licensed

Similar vizzes

Loading thumbnail…

activity 6_Task 1

This horizontal bar chart displays the 2020 populations of 30 countries, using light-green bars sorted by country name. The visualization is built with React and SVG, and leverages D3.js scale functions (`scaleLinear` and `scaleBand`) to map population values and country categories to pixel coordinates. The data is loaded from a remote CSV using D3's `csv` method, with axes rendered by custom `AxisBottom` and `AxisLeft` components.

SSrihith Reddy Gaddam

95% match

Loading thumbnail…

activity 6_Task 1

This visualization displays population data for 30 countries in 2020 as a horizontal bar chart, with country names on the y-axis and population values on the x-axis. The chart uses React to render SVG elements, with D3 v5 providing the scale functions (`scaleBand`, `scaleLinear`) and CSV data loading via `d3.csv`. Data is sourced from a GitHub-hosted CSV file, formatted with the `d3.format` function to abbreviate large numbers. The gradient bars are colored light green, and hovering reveals population values through native SVG tooltips.

SSree Yuktha Sunkara

94% match

Loading thumbnail…

activity 6_Task 1

This visualization shows the population of 30 countries in 2020 as a horizontal bar chart. The React-based code uses D3 v5 to load CSV data, and employs `scaleBand` and `scaleLinear` to map country names and population values to screen coordinates. The SVG rendering includes custom axis components and rectangle marks, with tooltips showing formatted population values. Data originates from a GitHub-hosted CSV file, and the chart is rendered entirely with SVG elements.

SSowjanya Devupalli

94% match

Loading thumbnail…

Activity6_Task1

This visualization displays the 2020 population figures for 30 countries using a horizontal bar chart. The bars are rendered as SVG rectangles, with each country positioned along the y-axis and bar length proportional to population size along the x-axis. The code uses React components and D3 v5 APIs including `scaleBand`, `scaleLinear`, `max`, and `format` (with `.2s` for SI-prefixed tick labels). Data is loaded asynchronously from a remote CSV file using `d3.csv`, and axes are constructed via custom React components for bottom and left alignment.

SSai Praveen Lokavarapu

94% match

Loading thumbnail…

activity 6_Task 1

This visualization displays the population of 30 countries for the year 2020 as a horizontal bar chart. The chart uses SVG rendering within a React framework, leveraging D3 v5 utilities such as `scaleBand`, `scaleLinear`, and `format` for axis scaling and tick labels. Data is loaded from a CSV file via the `csv` function, with values multiplied by 1000. Tooltips, styled with a Poppins font, show population values in billions when hovering over each bar.

119n81a0581sunny@gmail.com

94% match

Loading thumbnail…

Activity-6_Task 1

This visualization is a horizontal bar chart displaying the 2020 population estimates for 30 countries, sourced from a CSV file hosted on GitHub. The chart uses green bars, with the length of each bar proportional to the population value, and includes a formatted x-axis that abbreviates large numbers (e.g., converting billions to "B"). The code leverages D3's `scaleBand` for the categorical country axis, `scaleLinear` for the population axis, and React's `useEffect` hook to asynchronously load and parse the data with `csv`. The rendering is done entirely through SVG elements, with the data plotted using `rect` marks and tooltips provided via `<title>` elements.

Ssriyaalugupalli@my.unt.edu

94% match

Loading thumbnail…

activity 6_Task 1

This horizontal bar chart displays the 2020 populations of the first 30 countries from a CSV file fetched via `d3.csv`. Rendered as an SVG using React, the visualization maps country names on the y-axis using `d3.scaleBand` and population values on the x-axis via `d3.scaleLinear`. Light green bars represent each nation’s population, with axis ticks generated by custom `AxisBottom` and `AxisLeft` components. The chart’s x-axis labels are formatted in millions, and the data loading handles asynchronous fetching with `useData`.

SSrihith Reddy Gaddam

94% match

Loading thumbnail…

activity 6_Task 1

This visualization shows the 2020 population of 30 countries as a horizontal bar chart, with country names on the y-axis and population values on the x-axis. The bars are colored a light green, with blue axis ticks and a labeled x-axis in billions. The code uses React hooks—`useState`, `useCallback` and `useEffect`—to load CSV data via `d3.csv` from a GitHub repository, then renders the chart with `d3.scaleBand` and `d3.scaleLinear` as SVG elements, formatting tick labels using `d3.format`.

Ggketan456@gmail.com

94% match