Skip to main content
SimilarExport ZIP
100%

Fork of Fork of Activity 6

✓ Published0🌍 Public
Ssathvik0311@gmail.com
Last edited Oct 24, 2024
Created on Oct 24, 2024
Forked from Fork of Activity 6

This visualization presents a horizontal bar chart comparing population figures across 30 countries for the year 2020, sourced from a CSV file hosted on GitHub. The React-based application uses D3 v7 modules like `scaleBand`, `scaleLinear`, and `max` to compute scales, while custom SVG components (`AxisBottom`, `AxisLeft`, `Marks`) render the axes and rectangular bars. Population values are formatted using D3's `format` function, with tick labels abbreviated to billions. The chart includes labeled axes and a tooltip on each bar via SVG `<title>` elements.

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…

Fork of Activity 6

A horizontal bar chart displays the 2020 population of 30 countries, ranked in descending order from the dataset loaded via `d3.csv` from a GitHub-hosted CSV file. The visualization uses `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and renders bars as SVG `<rect>` elements. Custom `AxisBottom` and `AxisLeft` components generate ticks, while a `<title>` element provides tooltips with formatted values like "30M". The React app manages data loading asynchronously with a `useEffect` hook.

Ssathvik0311@gmail.com
95% match
Loading thumbnail…

Fork of Activity 6

This bar chart displays 2020 population estimates for 30 countries, sorted along a horizontal axis with country names on the vertical axis. Population values are formatted using the `format('.2s')` specifier, converting billions into abbreviated labels like “B”. The React-based visualization uses `scaleBand` and `scaleLinear` from d3.v5 to map data, with SVG rectangles generated by custom `Marks`, `AxisBottom`, and `AxisLeft` components. Data loads via `d3.csv` from a GitHub-hosted CSV file, and hover effects change bar colors through CSS transitions.

Vvidyagangasani@my.unt.edu
94% match
Loading thumbnail…

Fork of Activity 6

This horizontal bar chart displays the population of 30 countries in 2020, sorted by country name along the y-axis. Built with React and D3 v5, it renders as an SVG using `scaleBand` for the categorical axis and `scaleLinear` for the population values. Bar lengths are encoded with `rect` marks, and axis ticks are generated with the custom `AxisBottom` and `AxisLeft` components. The data is fetched as CSV from a GitHub-hosted dataset, with population values multiplied by 1,000 for display.

KKritin Kesav
94% match
Loading thumbnail…

Fork of Activity 7

This bar chart displays the 2020 population of 30 countries, sourced from a CSV file fetched via `d3.csv`. The visualization uses D3 scales (`scaleBand`, `scaleLinear`) and custom React components (`AxisBottom`, `AxisLeft`, `Marks`) to render the SVG. Horizontal bars are drawn as `<rect>` elements, with tooltip text showing formatted values using D3’s `format` function. The chart includes styled gridlines, axis labels, and a "POPULATION-2020" title, all rendered through React’s declarative component structure.

Pperamranji
94% match
Loading thumbnail…

Fork of Activity 7

This visualization shows the population of thirty countries in 2020 as a horizontal bar chart, with a title labeling the x-axis "POPULATION-2020". It uses React to render an SVG and the D3 v5 library's `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. D3's `format('.2s')` formats axis tick labels (e.g., converting values to billions), and the `csv` function loads population data from a remote GitHub CSV file. The chart is interactive only through SVG `<title>` tooltips showing exact values.

Vvamsikrishnakanchukommala@my.unt.edu
94% match
Loading thumbnail…

Fork of Activity 7

This chart displays the populations of 30 countries in 2020 as a horizontal bar chart, with country names on the y-axis and population values on the x-axis. The visualization uses React to render SVG elements, with D3’s `scaleBand` and `scaleLinear` to map data to positions, and custom `AxisBottom`, `AxisLeft`, and `Marks` components. Population values are loaded from a CSV file and formatted with D3’s `format` function, converting billions to a readable "B" suffix. The chart includes a labeled x-axis and blue tick lines, with a green fill for each bar.

Llikhithakarunakarreddym@gmail.com
93% match
Loading thumbnail…

Fork of Activity 6

This example shows a horizontal bar chart of 2020 population estimates for 30 countries, using a React-based SVG rendering approach. The visualization ranks countries by population, with bars colored green and labeled axes showing country names and population values in billions. The code uses React components for layout, d3.js scaleBand and scaleLinear for positioning, and d3.csv to load the dataset from a GitHub-hosted CSV file. Tooltips provide formatted population values on hover, while the chart includes custom axis components and a Poppins font styling from Google Fonts.

Vvidyagangasani@my.unt.edu
93% match
Loading thumbnail…

Fork of Activity 7

This fork of Activity 7 displays a horizontal bar chart of population data for 30 countries in 2020. The visualization uses React to render an SVG with D3.js scales and axes. The code employs `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, with data loaded via `d3.csv` from a GitHub repository. Each bar is a `<rect>` element with a `<title>` tooltip showing the population value, formatted using D3's `format` function to abbreviate large numbers.

Aanisha.peddireddy@gmail.com
93% match