Activity-6(Questions)1.2

Activity6-Question1(2)

This visualization shows the population of 20 countries in 2010 using horizontal bars, with country names on the y-axis and population values on the x-axis. The chart binds population data loaded from a CSV file using d3.csv, scales it with d3.scaleBand and d3.scaleLinear, and renders the bars as SVG rectangles. React manages the component state and rendering, while D3’s format function converts tick labels into abbreviated units like “B” for billions.

Ppslharika@gmail.com

Activity6_Question1.2

This visualization displays the populations of 20 countries in 2010 as horizontal bars, with country names on the y-axis and population values on the x-axis. The bar chart uses React components to render SVG elements, with d3.scaleBand for the categorical y-axis and d3.scaleLinear for the quantitative x-axis. Data is loaded asynchronously from a CSV file using d3.csv, and formatted with d3.format to show values in billions. The bars include native SVG `<title>` tooltips for exact values.

SSai Praveen Lokavarapu

Nnikhilthoutu24@gmail.com

Activity_6-Question-1.2

This horizontal bar chart shows the population of 20 countries in 2010, with each bar’s length representing total population and country names listed on the y-axis. The visualization uses React with D3 v5 scales (d3.scaleBand and d3.scaleLinear) to position bars and axes, rendering to SVG. Population values are loaded from a remote CSV file via d3.csv, formatted as billions using d3.format, and displayed with interactive tooltips via SVG `<title>` elements. The chart includes custom styled axis ticks and a labeled x-axis.

Kkandooriabhiram@gmail.com

Activity6_Question1

This visualization displays the populations of ten countries in 2010 as a horizontal bar chart, with country names on the y-axis and population values on the x-axis. Using React and D3 v6, the code employs `scaleBand` and `scaleLinear` for positioning, while `csv` loads data from a GitHub-hosted CSV file. SVG rectangles render the bars, with `format('.2s')` converting large numbers into abbreviated labels like "1.2B". The chart includes custom axis components and tooltips via SVG `<title>` elements.

Activity6_Question1.2

This visualization displays the populations of 20 countries in 2010 as horizontal bars, using a bar chart format. D3 v5 scale functions, including `scaleBand` and `scaleLinear`, map country names and population values to SVG coordinates, while React components render the axes and marks. The chart sorts data from a CSV file, formats population values with the `format('.2s')` API, and includes a tooltip via SVG `<title>` elements, showing the underlying data source and rendering pipeline.

Ccherrylmarym@gmail.com

Activity6_Question1.2

This horizontal bar chart shows the populations of 20 countries in 2010, sorted by country name. The chart uses React with D3 v5, employing `scaleBand` for the y-axis positioning and `scaleLinear` for the x-axis population values. Data is loaded via `csv` from a GitHub-hosted CSV file, with population values converted from thousands. The visualization renders as SVG, with tick lines styled in blue and bars in green, and includes formatted axis labels using `format('.2s')`.

UUday Vandanapu

Activity 6 question 1_2

This bar chart displays the population of 20 countries in 2010, using horizontal bars ordered by country name. The visualization loads CSV data from GitHub via `d3.csv` and renders as an SVG using React components (AxisBottom, AxisLeft, Marks) with scales from `d3.scaleBand` and `d3.scaleLinear`. The x-axis uses `d3.format` to abbreviate population values (e.g., converting gigabytes to billions). Hovering over each bar reveals the exact population through an SVG `<title>` tooltip.

AAamani Chamarthi

HHarshathBudida@my.unt.edu

Activity-6_Question-1.2

This example displays a horizontal bar chart of population data for 20 countries in 2010, with country names on the y-axis and population values on the x-axis. The visualization is rendered as SVG within a React application, using D3 scaleBand and scaleLinear to map data to positions, and custom React components (AxisBottom, AxisLeft, Marks) to draw axes and bars. Data is loaded asynchronously via the d3.csv function from a GitHub-hosted CSV file, with population values formatted using the d3 format function and converted to billions for tick labels.