Activity6_Question1.1

CChandra Prakash Reddy Kalwakolu

Activity6_Question1

This bar chart visualizes the population of ten countries in the year 2000, ordered along a categorical y-axis. The visualization uses React and D3 v5 to render an SVG, with `d3.scaleBand` and `d3.scaleLinear` mapping country names to horizontal bar lengths. Data is loaded from a remote CSV file via `d3.csv`, with population values converted from thousands. Axis ticks and bar tooltips are formatted using `d3.format`, and the chart includes styled axis lines and labels.

Ggreeshmareddy135@gmail.com

Activity6_Question1.1

This bar chart displays the population of ten countries in the year 2000, with bar lengths proportional to population values and country names listed along the vertical axis. The visualization uses React components with D3 v5’s `scaleBand` and `scaleLinear` for positioning, `csv` for data loading from a GitHub-hosted CSV, and `format` for abbreviating tick labels (e.g., replacing “G” with “B”). SVG rectangles render the bars, and each bar includes a native `<title>` tooltip showing the formatted population value. The axes are drawn with custom components, and the chart is framed by margins with a labeled x-axis.

Activity6_Question1.1

This bar chart displays the population of ten countries in the year 2000, sorted in descending order along a horizontal axis. Each bar’s length is proportional to the population value, and hovering reveals the precise figure in billions. The visualization is built with React and uses D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, with data loaded from a CSV via `d3.csv`. The SVG render includes styled axes and tick labels, with a green fill for the bars.

AAftab Hussain

Activity-6_Question-1

This bar chart visualizes the population of ten countries in the year 2000 using React and SVG rendering. It leverages d3 v5 functions such as `scaleBand` for the categorical y-axis, `scaleLinear` for the numeric x-axis, and `format` to convert tick labels into billions. A CSV file is loaded remotely via d3’s `csv` method, with each bar’s tooltip revealing the formatted population value. The chart includes styled axes and labels for both the population and country name.

VVasanth Krishna

Activity 6_Question 1.1

This horizontal bar chart displays the population of ten countries in the year 2000, with each bar’s length proportional to its population value. The visualization uses a linear x-scale for population and a categorical y-scale for country names, with tooltips revealing the exact formatted population figures. Built with React and D3 v5, the code employs `scaleBand` and `scaleLinear` for scaling, `csv` for data loading from a remote GitHub source, and renders the chart as an SVG. The chart includes labeled axes for population and country, with the y-axis ordered by the country values.

Mmsnikhil2608@gmail.com

Ppenujulilikhil01020@gmail.com

Activity 6_Question 1.1

This bar chart displays the population of ten countries in the year 2000, with horizontal bars sorted by country name. The visualization uses React to render SVG elements and D3 v5 for data loading and scales. Population values are loaded from a remote CSV file, processed by multiplying the year 2000 column by 1000, and formatted using D3’s `format` with SI notation. The chart includes custom axis components, axis labels, and tooltips showing formatted population values.

Ddabbararakshitha@gmail.com

Activity_6 Q1.1

This horizontal bar chart displays the population of ten countries in the year 2000, with bars extending rightward from a shared baseline. The visualization uses React to render an SVG, with D3’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis. Colored green with blue tick lines, each bar includes a tooltip showing the formatted population value (e.g., “1.2B”). The data is loaded from a remote CSV using D3’s `csv` parser, which multiplies the raw values by 1000 to obtain the final population figures.

Activity6_Question1.1

This bar chart displays the population of ten countries for the year 2000, sorted with a horizontal layout. Built with the React framework and D3 v5, it uses `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, rendering SVG rectangles via the `Marks.js` component. Data is loaded asynchronously from a CSV file using D3's `csv` function, with tick formatting converting values to a compact "B" (billions) notation.

Aalapati98@gmail.com