Skip to main content
SimilarExport ZIP
100%

activity 6_Task_1.1

✓ Published1🌍 Public
TThai Ha Dang
Last edited Oct 19, 2024
Created on Oct 16, 2024
Forked from Hello VizHub

This example displays a horizontal bar chart of the top 10 countries by population in the year 2000, using a green fill for each bar. It loads CSV data from a GitHub-hosted file via `d3.csv` and renders the visualization with React and SVG. The chart uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis, with axes and bars drawn as SVG elements. References to D3 modules like `scaleBand`, `scaleLinear`, `max`, `format`, and the `csv` function are made via ES6 imports, demonstrating local module use.

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 1.1

This example displays a horizontal bar chart of the top ten countries by population in the year 2000, using a light green fill for bars and blue tick lines. It loads data from a CSV file via `d3.csv`, formats the x-axis tick labels with `d3.format`, and renders the visualization as an SVG using React components. The chart uses `d3.scaleBand` for the categorical y-axis and `d3.scaleLinear` for the quantitative x-axis, with tooltips showing the population value on each bar.

Hhimavinaytummala@my.unt.edu
96% match
Loading thumbnail…

Activity6_task1.1

A horizontal bar chart displays the top ten countries by population in the year 2000, using a dataset loaded via the `d3.csv` method from a GitHub-hosted CSV file. The visualization renders as an SVG in a React app, with bars drawn as `rect` elements positioned by `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the population value axis. Custom React components generate the axes and marks, while `d3.format` styles tick labels in billions. A native SVG `title` element provides a tooltip showing each bar’s exact value.

DDeekshitha Annreddy
93% match
Loading thumbnail…

Activity_6_Task_1

This horizontal bar chart displays the population of the top ten countries in the year 2000, using a green fill for each bar. Built with React and D3 v5, the visualization loads CSV data from a GitHub repository and renders as an SVG. The code creates scales with `scaleBand` and `scaleLinear`, formats axis tick labels using `format`, and uses `csv` to parse the data, with tooltips showing the population values.

Ssuhaibuddinahmed10@gmail.com
93% match
Loading thumbnail…

Activity 6 Task 1

A horizontal bar chart displays the top ten countries by population in the year 2000, using green rectangles scaled by a linear x-axis. The visualization is rendered as an SVG with React components, including reusable axis and mark components. It loads CSV data via D3’s `csv` function and applies `scaleBand` and `scaleLinear` for positioning. The chart includes formatted tick labels that convert billions to a readable format, and each bar contains a tooltip showing the exact population value.

Mmangilipallylaxminarayana@gmail.com
93% match
Loading thumbnail…

Activity 6_Task 1

This example renders a horizontal bar chart of population estimates for ten countries in the year 2000, with each bar colored light green and labeled with its country name on the y-axis. The chart loads CSV data via d3.csv, uses d3.scaleBand for the categorical y-axis and d3.scaleLinear for the numeric x-axis, and formats tick labels with d3.format to convert values into billions. React components compose SVG elements for the axes and bars, while d3.v5 provides the data loading and scaling utilities.

Lleelakrishnadivi7@gmail.com
92% match
Loading thumbnail…

Activity6_Task1_Q1

This example displays a horizontal bar chart ranking the populations of ten countries for the year 2000, using a green fill. The visualization is rendered in SVG through a React component that imports D3 v5 functions for scaling, formatting, and CSV data handling. The chart uses `d3.scaleBand` for the y-axis categories, `d3.scaleLinear` for the x-axis population values, and `d3.format` to convert large numbers into a readable axis tick format. Data is loaded from a GitHub-hosted CSV file and limited to the top ten rows.

Aanish6005@gmail.com
92% match
Loading thumbnail…

activity 6_Task 1 Q2

This example shows a horizontal bar chart ranking the populations of ten countries for the year 2000, with a green fill for each bar. Built with React and D3 v5, the visualization uses D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, while data is loaded from a remote CSV via `d3.csv`. The SVG rendering includes custom axes, tick formatting that abbreviates large numbers (e.g., "1.2B"), and a tooltip on each bar showing the formatted population value.

Kkeerthanachinthalapally@gmail.com
92% match
Loading thumbnail…

activity 6_Task 1

This example shows a horizontal bar chart comparing the populations of the top 20 countries in 2010, with country names on the y-axis and population values on the x-axis. The data is loaded as CSV via `d3.csv` from a GitHub repository. React renders the SVG, while D3 v5 scales (`scaleBand` and `scaleLinear`), axes, and tick formatting (`format('.2s')`) handle the layout. Tooltips appear on hover using native SVG `<title>` elements.

Ppadiginetivishnupriya@gmail.com
92% match