task1

Cchandrikachowdary867@gmail.com

activity 6_Task 1

This bar chart displays the population of 30 countries in 2020, sorted along a vertical band scale. The visualization is built with React and D3 v5, using `scaleBand` for the categorical country axis and `scaleLinear` for the population axis, with SVG rectangles drawn by the `Marks` component. The data is loaded asynchronously from a CSV file using `d3.csv`, and the population values are formatted in billions using D3’s `format` function. Tooltips reveal the exact population value for each bar on hover.

activity 6_Task 1

This bar chart displays the 2020 population of 30 countries, ranked vertically with horizontal bars extending to represent population size. Built with React and D3 v5, the visualization uses `d3.scaleBand` for the categorical country axis and `d3.scaleLinear` for the numeric population axis, with a zero baseline. The data is loaded from a CSV file and formatted using `d3.format` to abbreviate large numbers. SVG rectangles render the bars, with tooltips showing exact population values on hover.

YYeruva Snehith Reddy

Yyashwanthkirla95@gmail.com

Task 1

This chart displays the population of 30 countries in 2020, sorted along the y-axis with a horizontal bar for each country whose length corresponds to its population. Built with React and D3 v5, the visualization uses `scaleBand` for the categorical country axis and `scaleLinear` for the continuous population axis, rendering SVG rectangles for the bars. The data is fetched via D3’s `csv` function, and tick labels on the x-axis are formatted using `d3.format`. Blue axis lines and green bars are styled through CSS, with tooltips showing each value on hover.

activity 6_Task 1

This bar chart displays the population of 30 countries in 2020, sorted by country name along the vertical axis. The chart uses React with D3 v5 to render SVG elements, employing `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Population values are formatted using D3’s `format` function, converting billions to a readable label. The data is loaded via `d3.csv` from a remote GitHub source, and each bar includes a tooltip showing the formatted population value.

PPothuguntla Pranitha

Activity6_Task1

This bar chart displays the 2020 population of 30 countries, with countries listed on the vertical axis and population values represented by horizontal bar lengths. The visualization is built using React with D3 v5 for data loading and scales, rendering to SVG. The code uses `scaleBand` for the categorical y-axis, `scaleLinear` for the quantitative x-axis, and `format` for abbreviating population labels (e.g., converting billions to "B"). Data comes from a remote CSV file via `d3.csv`, with population values multiplied by 1000 during parsing.

Ssaimanvith22@gmail.com

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.

Ssaiteja.cse.rymec@gmail.com

activity 6_Task 1

This bar chart visualizes the 2020 population of 30 countries, using a horizontal layout with bars scaled by population. The visualization is built with React and D3 v5, leveraging `d3.scaleBand` and `d3.scaleLinear` for axes and `d3.format` for tick labels (e.g., converting "G" to "B"). Data is loaded from a CSV URL via `d3.csv` and rendered as SVG rectangles with tooltips. A Poppins font and CSS styles control the visual presentation.

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.