Skip to main content
SimilarExport ZIP
100%

Activity6Task1

✓ Published1🌍 Public
Gganeshseeram5decem@gmail.com
Last edited Apr 4, 2024
Created on Apr 4, 2024
Forked from Hello VizHub

This example presents a horizontal bar chart of population data for the top 30 countries in 2020, sourced from a GitHub-hosted CSV. The visualization is built with React and rendered as an SVG, using D3 v5's `scaleBand`, `scaleLinear`, and `csv` functions to parse data and position the bars. The chart employs custom axis components for bottom and left ticks, with bar tooltips formatted in millions using D3's `format` function. The code demonstrates modular ES6 imports within a VizHub environment.

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…

Activity6_task1

This example displays a horizontal bar chart of the top 30 countries by 2020 population. The visualization uses the D3 version 5 library with `scaleBand` and `scaleLinear` to map data from a CSV file to SVG rectangles. The React component defines axes with `AxisBottom` and `AxisLeft`, formatting tick labels from scientific notation to billions. Each bar includes a tooltip showing the population value, with data loaded asynchronously via a custom `useData` hook that fetches from a GitHub repository.

Nneerajreddyaluka@gmail.com
93% match
Loading thumbnail…

activity6_Task 1

This example presents a horizontal bar chart showing the 2010 population for 20 countries, sourced from a GitHub-hosted CSV file. It uses React with D3 v5 for rendering SVG elements, including `scaleBand`, `scaleLinear`, and `csv` from imported D3 modules. The chart displays population values with SI-formatted tick labels and tooltips, with axes and bars rendered through modular components. The visualization demonstrates ES6 module imports and D3 integration within a React framework.

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

activity 6_Task 1

A horizontal bar chart displays population figures for the top 30 countries in 2020, using a linear scale for population and a band scale for country names. The visualization, built with React and D3 v5, renders SVG rectangles whose lengths encode population values, with axes and tick labels generated by custom components. Data is loaded from a CSV file via D3's `csv` function, and the axis formatting converts large numbers to abbreviated labels.

Mmaheshsachin1234@gmail.com
93% match
Loading thumbnail…

Activity-6_Task-1

This example displays a horizontal bar chart of the top 30 countries by population in 2020. The visualization uses React to render SVG elements, with D3 v5 functions like `scaleBand` and `scaleLinear` for positioning and an axis generated through custom `AxisBottom` and `AxisLeft` components. Data is loaded asynchronously from a CSV file via D3’s `csv` method, and each bar includes a native SVG `<title>` tooltip showing the population value. The chart uses a light green fill for the marks and blue axis lines.

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

Activity8_task1

A horizontal bar chart displays the top 30 countries by 2020 population, with bars sorted by country name and lengths proportionally scaled to population values. The visualization uses React to render SVG elements, with D3 v5 scales (scaleBand and scaleLinear) mapping data to positions. CSV data loads from a GitHub repository and processes the 2020 column by multiplying by 1000. The chart includes axis components with formatted tick labels converting G to B for billions, plus a light green bar fill and tooltips showing exact values.

Ssirichandana017@gmail.com
93% match
Loading thumbnail…

Activity_6_task1

This example shows a horizontal bar chart of the top 30 countries by 2020 population, with each bar labeled by country name and values formatted in billions. The visualization uses React with D3 v5 scales (scaleBand for the y-axis and scaleLinear for the x-axis), rendering SVG rectangles via the Marks component. Data is loaded as CSV from a GitHub repository and processed with d3.csv, with population values multiplied by 1000. The chart includes axis components for bottom and left ticks, plus an "POPULATION-2020" axis label.

HHarinathChakali33@gmail.com
93% match
Loading thumbnail…

Activity 6_Task 1

This example displays a horizontal bar chart of 2020 population data for thirty countries, sourced from a CSV file hosted on GitHub. The visualization is rendered using React and SVG, with D3 v5 utilities managing the layout. Specifically, code imports `scaleBand`, `scaleLinear`, `max`, and `format` from D3 to position bars and axes. The chart uses a linear x-scale for population values and a band scale for countries, with tick labels and axis text custom-styled. React's `useData` hook asynchronously fetches and processes the data before rendering.

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

Activity6_ Task 1

This example shows a horizontal bar chart ranking population figures for the top 30 countries in 2020, using React with SVG rendering. The visualization builds scales with d3.scaleBand and d3.scaleLinear, formats tick labels with d3.format, and reads CSV data from a GitHub repository via d3.csv. Blue bars represent each country, with axis components rendering ticks and labels, while hover tooltips display formatted population values.

PPreethamreddyannavaram@my.unt.edu
93% match