Skip to main content
SimilarExport ZIP
100%

activity 6_Task 1

✓ Published0🌍 Public
Ttarun.chintada46@gmail.com
Last edited Oct 22, 2024
Created on Oct 22, 2024
Forked from Hello VizHub

This visualization displays a horizontal bar chart of population data for 30 countries in 2020, sourced from a CSV file. Bars are rendered as SVG rectangles within a React component, with D3 v5 handling scales and tick marks. The chart uses a band scale for the categorical y-axis and a linear scale for the numeric x-axis, with formatted tick labels converting values to billions. Hovering over a bar reveals its exact population via a tooltip.

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 visualization shows the 2020 population for 30 countries as a horizontal bar chart, with country names on the y-axis and population values on the x-axis. The bars are rendered as SVG rectangles using React components, with scales from d3.scaleBand and d3.scaleLinear. Axes are custom components using d3 tick formatting, and the data is loaded from a CSV file via d3.csv with population values multiplied by 1000.

Hhkodiripaka15@gmail.com
96% 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
95% match
Loading thumbnail…

Activity 6_Task 1

This visualization displays the population of 30 countries in 2020 as a horizontal bar chart. The chart is built with React and D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Data is loaded from a remote CSV file using D3’s `csv` function, and population values are multiplied by 1000. The SVG rendering uses custom React components for axes and marks, with tooltips formatted using D3’s `format` function to abbreviate large numbers (e.g., “1.23B”).

Nnikhilthoutu24@gmail.com
95% match
Loading thumbnail…

activity 6_Task 1

This bar chart displays the 2020 population of 30 countries, ranked vertically with horizontal bars extending to represent population size. Built with React and D3 v5, the visualization uses `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the numeric population axis, with a zero baseline. The data is loaded from a CSV file and formatted using `d3.format` to abbreviate large numbers. SVG rectangles render the bars, with tooltips showing exact population values on hover.

YYeruva Snehith Reddy
94% match
Loading thumbnail…

activity 6_Task 1

This example displays a horizontal bar chart of population data for 30 countries in 2020, with country names on the y-axis and population on the x-axis. The visualization uses React to render SVG elements, with D3 v5 providing the `scaleBand`, `scaleLinear`, `max`, and `format` functions for scaling axes and formatting tick labels. Data is loaded from a CSV file using D3's `csv` function and parsed into numeric population values. Blue tick lines, gray text, and green bars style the chart, with hover tooltips showing formatted population values.

Ssumanthpenna0221@gmail.com
94% 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 chart displays the 2020 populations of 30 countries using a horizontal bar chart rendered with SVG in a React application. Population values are encoded as bar lengths along a linear scale, with countries listed on a categorical band scale. The visualization utilizes D3 v5 functions like `scaleBand`, `scaleLinear`, and `format` to handle scaling and tick labeling. Data is loaded from a remote CSV file using D3's `csv` function, and interactive tooltips are provided via SVG `<title>` elements.

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

activity 6_Task 1

This visualization is a horizontal bar chart comparing the 2020 populations of 30 countries, sourced from a CSV file. Population values are encoded as bar lengths on a linear scale, while countries are listed on the categorical y-axis. The chart uses D3 v5 and React, with custom SVG components for axes and marks, and it formats tick labels using D3’s `format` function to abbreviate large numbers.

Kkondaveeti.bhargavi7780@gmail.com
94% match