Skip to main content
SimilarExport ZIP
100%

Activity6_Task1

✓ Published0🌍 Public
SSaiKiranReddyKancharla@my.unt.edu
Last edited Apr 4, 2024
Created on Apr 4, 2024
Forked from Hello VizHub

This bar chart displays the top 30 countries by 2020 population, using horizontal bars ordered by country name. The visualization loads data from a CSV file via `d3.csv`, scales it with `scaleBand` and `scaleLinear`, and renders SVG rectangles through React components. D3’s `format` function converts population values to abbreviated labels like “1.2B”. Axes are built with custom `AxisBottom` and `AxisLeft` components that use D3’s tick methods, while a native SVG `<title>` element provides hover tooltips.

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 bar chart displays the top 30 countries by 2020 population, using horizontal bars to compare values against a linear scale. The visualization sorts countries vertically with a band scale, formats tick labels using D3’s `format` function to abbreviate numbers, and renders axes and marks as SVG elements within a React component. Data loads asynchronously via `d3.csv` from a remote GitHub repository, with tooltips showing formatted population values on hover.

Kkowshiksamudrala08@gmail.com
95% match
Loading thumbnail…

Activity6_Task 1

This bar chart displays the top 30 countries by population in 2020, using horizontal bars sorted by country name. The visualization uses React components to render SVG elements, with D3 v5 scales (scaleBand for the y-axis and scaleLinear for the x-axis) managing coordinate mapping. Population values are loaded from a CSV file and formatted with a custom tooltip using D3's format function. The chart includes styled axes, hover effects, and a maximum domain slightly exceeding the largest population value.

Hharinihari6791@gmail.com
95% match
Loading thumbnail…

Activity6_Task1

This bar chart visualizes the 2020 population estimates for the top 30 countries, sorted by country name. The horizontal bars are rendered as SVG rectangles using React, with the D3 library's `scaleBand` and `scaleLinear` functions handling the axis mappings. Data is loaded from a remote CSV file via the `d3.csv` function, and axis ticks and labels are generated with custom React components. The chart includes a fixed color scheme and a tooltip that displays the formatted population value.

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

Activity6_Task 1

This bar chart displays the top 30 countries by 2020 population, ranked along a vertical band scale. The visualization uses D3 v5 for data loading and scale creation, with React components rendering SVG rectangles for each bar. The code applies `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, formatting tick labels with `d3.format`. Data is fetched as CSV from a GitHub repository, with values multiplied by 1000 to represent actual population figures.

UUday Vandanapu
95% match
Loading thumbnail…

activity 6_Task 1

This bar chart displays the top 30 countries by population in 2020, using horizontal bars sorted by country name. Built with React and D3 v5, it uses `scaleBand` for the y-axis, `scaleLinear` for the x-axis, and SVG rendering for the marks. Data is loaded via `csv` from a GitHub-hosted dataset, with population values multiplied by 1000. The chart includes custom axis components and formats tick labels using D3's `format` with SI prefixes, converting "G" to "B" for billions.

Bbhavanasruthikakarlapudi@gmail.com
95% match
Loading thumbnail…

activity 6_Task 1

This horizontal bar chart displays the top 30 countries by 2020 population, sorted in descending order. The visualization uses a linear x-scale for population values and a band y-scale for country names, with teal bars rendered as SVG rectangles in a React component. Data is loaded via `d3.csvParse` from a GitHub gist, with axis ticks formatted in millions. The code demonstrates React state management with `useState` and `useEffect` hooks alongside D3’s `scaleLinear` and `scaleBand` APIs.

SSrihith Reddy Gaddam
94% match
Loading thumbnail…

Activity8_task1

A horizontal bar chart displays the top 30 countries by 2020 population, with bars sorted by country name and lengths proportionally scaled to population values. The visualization uses React to render SVG elements, with D3 v5 scales (scaleBand and scaleLinear) mapping data to positions. CSV data loads from a GitHub repository and processes the 2020 column by multiplying by 1000. The chart includes axis components with formatted tick labels converting G to B for billions, plus a light green bar fill and tooltips showing exact values.

Ssirichandana017@gmail.com
94% match
Loading thumbnail…

Activity_6_Task1

This visualization displays the top 30 countries by 2020 population using a horizontal bar chart rendered as SVG within a React application. The chart uses d3.scaleBand for the categorical country axis and d3.scaleLinear for the population values, with d3.format abbreviating numbers to billions. Data loads from a GitHub-hosted CSV file via d3.csv, and React hooks manage the asynchronous data fetching. Custom AxisBottom and AxisLeft components generate the axes, while Marks renders each bar with a tooltip showing the formatted population value.

Pparvathi829790@gmail.com
94% match