activity6-Task1

HHarinathChakali33@gmail.com

Activity_6_task_1

This bar chart displays the population of 30 countries in 2020, sorted by country name along the y-axis. The visualization is built with React and D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Data is loaded from a CSV file via D3's `csv` function, with population values formatted using `d3.format` to abbreviate large numbers. The SVG rendering includes custom axes, tooltips via `<title>` elements, and a green fill for each bar.

Vvandanakosuri@my.unt.edu

Activity-6(Task1)

This bar chart displays the population of 30 countries in 2020, using horizontal bars that encode population values by length. The visualization is built with React and D3 v5, leveraging D3’s `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and SVG rendering for crisp output. The chart includes custom tick formatting that converts scientific notation to readable numbers, and tooltips show exact population values. Data is loaded from a remote CSV file using D3’s `csv` parser.

Kkaringusathwika@gmail.com

activity 6_Task 1

This bar chart displays the population of 30 countries for the year 2020, ranked along the vertical axis. The chart uses a green horizontal bar for each country, with a tooltip showing the precise population value on hover. It loads data from a CSV file via D3's `csv` function, and constructs a band scale and linear scale for the axes. The React components render SVG elements for the axes and marks, while D3's `format` function converts large numbers into abbreviated strings.

Activity-6_Task-1

This bar chart displays the 2020 populations of 30 countries, ordered along a vertical band scale. It loads CSV data from a GitHub repository using D3’s `csv` method, scales the values with `scaleLinear` and `scaleBand`, and renders SVG rectangles via React components. Custom axis components generate tick marks and labels, while a tooltip using the native SVG `<title>` element shows formatted population values with D3’s `format` function.

SSree Yuktha Sunkara

Kkaringusathwika@gmail.com

activity 6_Task 1

This bar chart displays the populations of 30 countries for the year 2020, sorted along the y-axis with horizontal bars extending from a zero baseline. It uses React with D3 v5 utilities such as `scaleBand`, `scaleLinear`, `max`, and `format` to compute scales and axis ticks. An SVG renders the visualization, with data loaded via D3’s `csv` from a GitHub gist. Native SVG `<title>` elements provide tooltips showing formatted population values, while the axes are built using custom `AxisBottom` and `AxisLeft` components.

Gguttavenkata745@gmail.com

activity 6_Task 1

This chart displays the population of 30 countries in 2020 using a horizontal bar chart, with country names on the y-axis and population values on the x-axis. Built with React and D3 v5, the visualization uses `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and SVG rectangles as marks with native tooltips. Data is loaded asynchronously from a CSV hosted on GitHub via `d3.csv` (not `d3.forceSimulation` or other graph APIs), and population values are preprocessed by multiplying the year-2020 column by 1000. The axes are custom components (`AxisBottom` and `AxisLeft`) using D3 ticks and formatting with `format('.2s')` to display values in billions.

Ssriharshakondakindi@gmail.com

activity6task-1

This bar chart displays the 2020 population estimates for 30 countries, with horizontal bars sorted by country name. The visualization is built with React and D3 v5, using `scaleBand` for the y-axis and `scaleLinear` for the x-axis. Data loads from a CSV via `d3.csv` and renders as SVG `<rect>` elements. The bottom axis formats tick values using `d3.format`, and tooltips show population values on hover.

SShashankkodishala@my.unt.edu

Activity6_Task1

This bar chart displays the 2020 population of 30 countries, sourced from a CSV file, with countries on the y-axis and population on the x-axis. The visualization uses React components to render SVG marks, with d3.scaleBand and d3.scaleLinear for positioning, and d3.format for abbreviating tick labels (e.g., "B" for billions). The code leverages d3.csv for data loading and includes tooltips via SVG `<title>` elements.