Skip to main content
SimilarExport ZIP
100%

Activity 6_Task 1

✓ Published0🌍 Public
NNagalakshmi Thota
Last edited Oct 22, 2024
Created on Oct 22, 2024
Forked from Hello VizHub

This D3.js bar chart displays the population of 30 countries in 2020, using horizontal bars on a Cartesian grid. The visualization leverages React components and D3 version 5's `scaleBand` for the categorical y-axis and `scaleLinear` for the numerical x-axis. Data is loaded via a CSV URL providing population figures, which are formatted using D3's `format` function to display values in billions. The SVG rendering includes blue tick lines, green bars, and a labeled x-axis, with tooltips showing formatted population values on hover.

AI-generated description

A demonstration of how to start using D3 version 6.

MIT Licensed

Similar vizzes

Loading thumbnail…

Activity-6(Task1)

This bar chart displays the population of 30 countries in 2020, using horizontal bars that encode population values by length. The visualization is built with React and D3 v5, leveraging D3’s `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and SVG rendering for crisp output. The chart includes custom tick formatting that converts scientific notation to readable numbers, and tooltips show exact population values. Data is loaded from a remote CSV file using D3’s `csv` parser.

Vvandanakosuri@my.unt.edu
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…

Activity6_Task1

This bar chart displays the 2020 population of 30 countries, with countries listed on the vertical axis and population values represented by horizontal bar lengths. The visualization is built using React with D3 v5 for data loading and scales, rendering to SVG. The code uses `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and `format` for abbreviating population labels (e.g., converting billions to "B"). Data comes from a remote CSV file via `d3.csv`, with population values multiplied by 1000 during parsing.

Ssaimanvith22@gmail.com
95% match
Loading thumbnail…

activity 6_Task 1

This bar chart displays the population of 30 countries in 2020, sorted along a vertical band scale. The visualization is built with React and D3 v5, using `scaleBand` for the categorical country axis and `scaleLinear` for the population axis, with SVG rectangles drawn by the `Marks` component. The data is loaded asynchronously from a CSV file using `d3.csv`, and the population values are formatted in billions using D3’s `format` function. Tooltips reveal the exact population value for each bar on hover.

Cchandrikachowdary867@gmail.com
94% match
Loading thumbnail…

Activity 6_Task 1

A horizontal bar chart displays the 2020 populations of 30 countries, with each bar labeled by country name and the x-axis formatted in billions using D3's `format` function. The visualization is built with React components and D3 v5 scales, using `scaleBand` for the categorical y-axis and `scaleLinear` for the population values. SVG rectangles render the bars, and native `<title>` elements provide tooltips showing the formatted population figures. Data is loaded via `d3.csv` from a GitHub-hosted CSV file, with the population values multiplied by 1,000 during preprocessing.

DDipesh
94% 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 bar chart displays the 2020 populations of 30 countries, sorted along a vertical categorical axis. The visualization uses D3 v5 scales to map population values to horizontal bar lengths and country names to vertical bands. The React-based SVG rendering includes custom axis components that generate tick marks and labels, with a green fill for each bar. Population data is loaded from a remote CSV file, and a tooltip showing formatted population values appears when hovering over each bar.

Gganeshrajuparmalla@my.unt.edu
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