Skip to main content
SimilarExport ZIP
100%

Activity 6_Task 1

✓ Published0🌍 Public
Aanish6005@gmail.com
Last edited Oct 20, 2024
Created on Oct 20, 2024
Forked from Activity 6

This example displays a horizontal bar chart of the 2020 populations for the top 30 countries, as ranked by a UN population dataset. The visualization uses React and D3 v5 to render SVG elements, with axes and bars built from custom components. The code imports d3 utilities like `scaleBand`, `scaleLinear`, `max`, and `format` to calculate scales and format tick labels, while a `useData` hook loads the CSV data. Each bar includes a tooltip showing the population value.

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 population estimates for the top 30 countries, ranked by country name on the y-axis. Built with React and D3 v5, the visualization uses `scaleBand` for the categorical axis and `scaleLinear` for the population values, rendering SVG rectangles whose lengths encode the data. Tooltips show formatted population numbers via the `title` element. The x-axis uses `format('.2s')` to abbreviate values in billions, while the data is fetched from a CSV file.

Aanusha.chilkamarri26@gmail.com
93% match
Loading thumbnail…

Activity 6_Task 1

A horizontal bar chart displays the 2020 population for 30 countries, ranked by country name along the y-axis and population on the x-axis. The visualization uses React with D3 v5's `scaleBand` and `scaleLinear` for positioning, while SVG rectangles render the bars with a native `<title>` tooltip showing formatted values. Data is loaded via `d3.csv` from a GitHub-hosted CSV file, with axis ticks and labels generated by custom React components.

SSeema Shrestha
93% match
Loading thumbnail…

Activity 6_Task 1

This example shows a horizontal bar chart of the 2020 populations for the top 30 countries, using a dataset of country-level population values from a CSV hosted on GitHub. The bars are drawn as SVG `<rect>` elements, with axes rendered using custom components that leverage D3’s `scaleBand` and `scaleLinear` to map country names and population numbers to screen coordinates. The visualization is built with React, using D3 v5 for data loading and scaling, and follows a tidy narrative. Tooltips reveal the exact population value (in billions) when hovering over each bar.

Kkamalini.ponnuru11@gmail.com
93% match
Loading thumbnail…

activity 6_Task 1

This visualization shows a horizontal bar chart of the top 30 countries by 2020 population, with country names on the y-axis and population counts on the x-axis. The code uses React components to render SVG elements, while D3 v5 handles data loading via `d3.csv` and scales through `d3.scaleBand` and `d3.scaleLinear`. The data comes from a GitHub-hosted CSV file, and the bars are light green with axes styled in blue and tick labels. Tooltips provide formatted population values on hover.

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

Activity6_Task 1

A horizontal bar chart displays the 2020 populations of 30 countries, ranked with the most populous at the top. The visualization is built with React and D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Population values are parsed from a remote CSV file via `d3.csv` and formatted using `d3.format` to show values in billions. SVG rectangles with tooltips, styled in light green, represent each country's population.

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

Activity 6_task 1

A horizontal bar chart displays the 2020 populations of 30 countries, ranked by population. The visualization uses D3 v5 scale functions (scaleBand and scaleLinear) to map data to SVG coordinates, with React components handling rendering of axes and marks. Data is loaded from a CSV file via d3.csv, and population values are formatted with d3.format.

Ccharanshiva769@gmail.com
93% match
Loading thumbnail…

Activity6_Task 1

A horizontal bar chart displays 2020 population estimates for 30 countries, ranked by country name on the y-axis and population on the x-axis. The visualization uses SVG rendering within a React component, with D3 v5 scale functions (`scaleBand`, `scaleLinear`) for positioning, and custom `AxisBottom` and `AxisLeft` components for ticks. Data loads asynchronously from a CSV file via `d3.csv` and formats axis labels using `d3.format`. Each bar includes a native SVG `<title>` tooltip showing the formatted population value.

Aanisha.peddireddy@gmail.com
93% match
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