Activity 6_Question1 1.2

Activity 6_Question 1-1.2

This visualization displays the populations of 20 countries in 2020 as a horizontal bar chart. It uses React to render SVG elements through helper components for axes and marks. D3’s scaleBand and scaleLinear map country names and population values, while csv from d3 fetches the dataset from a GitHub repository. Bars use a tooltip via the title element, and the x-axis labels are formatted with d3.format to abbreviate values.

Activity 6_Question 2

A horizontal bar chart displays the 2020 population estimates for 20 countries, ranked from largest population at the top to smallest at the bottom. The visualization uses React with D3 v5 utilities like `scaleBand` and `scaleLinear` to map country names and population values to SVG rectangles. Data is loaded from a remote CSV file via `d3.csv`, and each bar includes a tooltip showing its formatted population value. The chart is rendered as an SVG with labeled axes, including a formatted x-axis displaying values in billions.

Activity 6_Question 2

Nneerajreddyaluka@gmail.com

Activity6_Question1.2

This example shows a horizontal bar chart comparing the 2020 populations of twenty countries, ranked in descending order. The visualization uses React to render SVG elements, with D3 v5 (d3.scaleBand, d3.scaleLinear, d3.csv, d3.format) handling data loading and scaling. Bars are drawn as rectangles, with axis components for bottom and left labels, and a tooltip showing abbreviated population values. The dataset is fetched from a remote CSV file and processed to convert population figures to absolute numbers.

Aanusha.chilkamarri26@gmail.com

Activity 6_Question 1

A horizontal bar chart displays the populations of the top ten countries in 2020, ranked by country name. The chart uses D3 v5 scales, including `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, with values formatted to billions using `d3.format`. React renders the SVG elements, while D3’s `csv` loads and parses the population data from a GitHub-hosted CSV file. Each bar includes a native SVG `<title>` element for tooltips.

Activity6_Question1.2

This bar chart displays the population of the top 10 countries in the year 2020, with countries listed on the y-axis and population on the x-axis. The visualization uses React with D3 v5, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis. Data is loaded asynchronously from a CSV file via `d3.csv`, and marks are rendered as SVG rectangles with tooltips showing formatted population values.

UUday Vandanapu

Hharinihari6791@gmail.com

Activity6_Question 1.2

This visualization displays the top 20 countries by population in 2010 using a horizontal bar chart. The chart ranks countries from largest to smallest population, with bars extending from a shared left axis and labeled with population values in billions. The implementation uses React with D3 v5’s scaleBand and scaleLinear for positioning, and renders rectangular marks in SVG. Data comes from a CSV file loaded via d3.csv, and hover interactions change bar colors while native SVG titles provide tooltips.

Activity 6_Question1 1.2

A horizontal bar chart displays the population of 20 countries in 2020, with each bar’s length proportional to its population value and country names listed along the vertical axis. The visualization uses React to render SVG elements, with D3 v5’s `scaleBand` and `scaleLinear` functions handling positioning. Population values are formatted in billions using `d3.format`, while the underlying data is loaded from a CSV file via `d3.csv`. The chart includes styled axes with blue tick lines and green bars, and hover tooltips show the precise formatted population values.