Activity 6_Task 1

Ssaisnehapalle@my.unt.edu

Activity6_Task 1

This example shows a horizontal bar chart of population data for 30 countries in 2020, with country names on the y-axis and population values on the x-axis. The chart renders as an SVG using React components for the axes and marks, with D3 v5 scales (`scaleBand`, `scaleLinear`) and formatting (`format`) to display tick labels in billions. Data is loaded asynchronously from a CSV file via `csv` and `useEffect`, and each bar includes a tooltip showing the formatted population value.

Activity 6_Task 1

This example shows a horizontal bar chart of population estimates for 30 countries in 2020, sorted alphabetically by country name. React components render the SVG visualization, while D3 v5 utilities handle data loading with `d3.csv`, linear scaling with `scaleLinear` for the x-axis, and band scaling with `scaleBand` for the y-axis categories. The code formats tick labels using `d3.format`, and bars include native SVG `<title>` tooltips. Data comes from a remote CSV file, with population values multiplied by 1000 during preprocessing.

SSai Gottumukkala

Activity 6_Task 1

This example displays a horizontal bar chart of 2020 population figures for 30 countries, with each bar’s length representing population size and country names on the y-axis. The visualization uses React with D3 v5’s `scaleBand`, `scaleLinear`, and `csv` loader to fetch and process data from a GitHub-hosted CSV. SVG rendering is driven by reusable React components for axes and marks, with axis labels and green bars styled via CSS. Tooltips appear on hover, showing the population value in a compact format (e.g., “1.2B”).

SSiva Kishore Reddy

Activity 6_Task 1

A horizontal bar chart displays the populations of 30 countries in 2020, ranked by country name, with each bar's length proportional to its population value. The visualization loads CSV data from a GitHub repository and renders using React with SVG. D3 v5 APIs including `scaleBand`, `scaleLinear`, and `csv` handle data loading and scaling, while custom React components define the axes and marks. The chart features a blue axis line, green bars, and formatted tick labels that convert values into billions.

SSahithi.R

Ssumanthpenna0221@gmail.com

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.

Sshivakumarganji@my.unt.edu

Activity 6_Task 1

This example displays a horizontal bar chart of 2020 population data for thirty countries, sourced from a CSV file hosted on GitHub. The visualization is rendered using React and SVG, with D3 v5 utilities managing the layout. Specifically, code imports `scaleBand`, `scaleLinear`, `max`, and `format` from D3 to position bars and axes. The chart uses a linear x-scale for population values and a band scale for countries, with tick labels and axis text custom-styled. React's `useData` hook asynchronously fetches and processes the data before rendering.

Aamarnadhkari98@gmail.com

Activity6_Task1

A horizontal bar chart displays the 2020 population for 30 countries, with bars sorted by country name and labeled with a bottom axis using D3's `scaleBand` and `scaleLinear`. The chart is rendered as SVG within a React component, using D3's `format` to abbreviate tick labels (e.g., converting "G" to "B" for billions). Hovering over each bar reveals the exact population value via an SVG `<title>` tooltip. The data is loaded from a remote CSV file using D3's `csv` function.

Hhemanthdummy999@gmail.com

Activity 6_Task 1

This example displays a horizontal bar chart of population data for 30 countries in 2020, with green bars and blue axis ticks on an SVG canvas. The React code loads D3 v5 via UNPKG and uses `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the population axis. Data is fetched from a CSV file using `d3.csv` and formatted with `d3.format` to abbreviate large numbers. The visualization demonstrates modular ES6 imports for axes and marks, with tooltips showing exact population values on hover.