Activity6_task-1

Activity6_Task1

This visualization displays the populations of 30 countries in 2020 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 created via d3.scaleBand and d3.scaleLinear. Data is loaded asynchronously from a CSV file using d3.csv, and axis ticks are formatted with d3.format to abbreviate values like billions. Tooltips appear on hover via SVG title elements.

JJayanth Reddy Sripathi

Jjaswanthreddy2000@gmail.com

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.

Mmaheshchowdaryponnaganti@my.unt.edu

activity 6_Task 1

This visualization displays the populations of 20 countries in 2010 as a horizontal bar chart, using React and D3 v5 to render the SVG elements. It loads data from a CSV file via a custom `useData` hook with `d3.csv`, then uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. The bars are drawn as SVG `<rect>` elements with a native `<title>` tooltip showing formatted population values, and tick marks are generated using `xScale.ticks()` with custom formatting.

Aamarnadhkari98@gmail.com

Activity6_Task1

This visualization displays population data for ten countries in the year 2000 using a horizontal bar chart rendered as SVG. The chart ranks countries from top to bottom by population, with green bars sized linearly to population values and formatted axis labels converting large numbers to billions. The React app loads CSV data from a GitHub repository using d3.csv, then applies d3.scaleBand for the categorical y-axis and d3.scaleLinear for the numeric x-axis. Tooltips on each bar show the exact population value via SVG title elements.

Nneerajreddyaluka@gmail.com

Activity 6_Task 1

This visualization displays the populations of 30 countries for the year 2020 as a horizontal bar chart, with each bar’s length proportional to its population value. The chart is rendered as an SVG using React components, with D3 v5’s `scaleBand` and `scaleLinear` handling the y-axis categories and x-axis scaling respectively. Population values are formatted with D3’s `format('.2s')` to abbreviate large numbers, converting gigabytes to billions for tick labels. The data is loaded via `d3.csv` from a GitHub-hosted CSV file, and axis ticks and bars are styled with custom CSS classes.

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

activity_6 Task1

This visualization shows population figures for 20 countries in 2010 as a horizontal bar chart. The bars are rendered as SVG rectangles, with the data loaded from a CSV file and transformed using D3’s `csv` parser. React constructs the SVG elements, while D3’s `scaleBand` and `scaleLinear` position the bars and axes. A tooltip, implemented via the SVG `<title>` element, displays the formatted population value when hovered.

Hhui249378@gmail.com

activity 6_Task 1.2

This chart displays the populations of 20 countries in 2010 as a horizontal bar chart, with country names on the y-axis and population values on the x-axis. The visualization is built with React and D3 v5, using `scaleBand` and `scaleLinear` to map the data, which is loaded via `csv` from a GitHub-hosted CSV file. SVG rectangles render the bars, with axis components and a tooltip showing formatted population values in billions.

Jjtulasi05@gmail.com