Skip to main content
SimilarExport ZIP
100%

Activity 6

✓ Published0🌍 Public
Vvinilavoddi@my.unt.edu
Last edited Oct 21, 2024
Created on Oct 21, 2024
Forked from Hello VizHub

This example visualizes 2020 population estimates for 30 countries as a horizontal bar chart. Using React and D3 v5, it loads CSV data via d3.csv and maps each country’s population to bar widths with d3.scaleLinear and d3.scaleBand, while axes are rendered through custom React components. Bars include native SVG tooltips showing formatted values, and d3.format abbreviates large numbers.

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

This visualization displays population figures for 30 countries as a horizontal bar chart, with bars sized using a linear scale and countries arranged on a band scale. It uses D3 v5 utilities like `scaleBand` and `scaleLinear` for positioning, while React 16.9 renders the SVG elements through reusable axis and mark components. The data is loaded from a remote CSV file via D3’s `csv` method, and tooltips show formatted population values using D3’s `format` function, with axis labels styled via CSS.

Vvinaykollapudi@my.unt.edu
95% match
Loading thumbnail…

Activity 6

A horizontal bar chart displays 2020 population estimates for 30 countries, sorted by country name. Built with React and D3 v5, the visualization uses SVG rectangles scaled by population using `scaleLinear` and `scaleBand` for axes. Data is loaded from a CSV via `d3.csv`, with tooltips formatted using `d3.format` to abbreviate large numbers.

Ttallavijayalakshmi0710@gmail.com
94% match
Loading thumbnail…

Activity 6

A bar chart displays 2020 population estimates for 30 countries, with country names on the y-axis and population on the x-axis. Built with React and D3 v5, it uses `scaleBand` and `scaleLinear` for axes, `csv` to load external data, and `format` to abbreviate tick labels. SVG rectangles render the bars, with tooltips via the `<title>` element.

Hhaneesh@gctc.in
93% match
Loading thumbnail…

Activity6_Task1

This example visualizes the 2020 population estimates for 30 countries using a horizontal bar chart rendered as SVG in React. Population values are shown on the x-axis via a linear scale, with countries listed on the y-axis using a band scale. The code employs D3 v5 functions like `csv`, `scaleLinear`, `scaleBand`, and `max` through `useData` to load and process data from a GitHub CSV file. Axis components and bars are built with custom React components, and hover tooltips display formatted population values using the `format` API.

Ssagipavan2385@gmail.com
93% match
Loading thumbnail…

Activity 6

A horizontal bar chart shows the populations of 30 countries in 2020, sorted by country name. The visualization uses React to render SVG elements, with d3.scaleBand and d3.scaleLinear for the axes and data mapping. Population values are formatted in billions using d3.format, and the data is loaded from a remote CSV via d3.csv. Each bar includes a native SVG tooltip that displays the formatted population value.

GGunna,Praneeth Reddy
93% match
Loading thumbnail…

Activity 6 Task 1

This visualization displays the population of 30 countries in 2020 using a horizontal bar chart rendered as SVG in React. It imports D3 v5 utilities such as `scaleBand`, `scaleLinear`, `max`, and `format` to map country names to bar heights and population values to bar widths. The chart includes labeled axes, with the y-axis listing countries and the x-axis showing formatted population values (e.g., "1.2B") via a custom tick format. Data is loaded asynchronously from a remote CSV using the `csv` function, and tooltips appear on each bar via a native `<title>` element.

Jjaswanthreddy2000@gmail.com
93% match
Loading thumbnail…

Activity 6

A horizontal bar chart displays population estimates for 30 countries in 2020, sorted by country name. The chart uses D3 v5 and React to render SVG elements, with `d3.scaleBand` for the y-axis and `d3.scaleLinear` for the x-axis. Data is loaded via `d3.csv` from a GitHub repository, with population values converted from thousands. The code formats tick labels using `d3.format` and includes interactive tooltips via SVG `<title>` elements.

Aamireddy.sw@gmail.com
93% match
Loading thumbnail…

Activity_6

A horizontal bar chart displays the 2020 populations of 30 countries, sourced from a CSV file via the D3 `csv` function. The visualization uses React to render SVG elements, with D3's `scaleBand` and `scaleLinear` mapping country names and population values to positions. Tooltips reveal exact population figures, and axes include custom tick formatting that abbreviates large numbers. The chart applies a green fill to marks and a blue stroke to axis lines.

Ssanjanadadi19@gmail.com
93% match