Activity6_Question1.1

Activity6_Q1.1

A horizontal bar chart displays the populations of ten countries in the year 2000. The visualization uses React to render an SVG, with D3 v5 providing the scaleBand and scaleLinear functions for positioning bars and axes. Data is loaded asynchronously from a CSV file via d3.csv. Custom React components define the axes and marks, with hover tooltips showing formatted population values.

SShiva Sai Reddy

Activity6_Question 1.1

A horizontal bar chart displays the populations of ten countries for the year 2000, sorted by descending value. Built with React and D3 v5, the visualization uses `d3.scaleBand` and `d3.scaleLinear` to map country names and population counts to SVG rectangles and axes. It loads CSV data via `d3.csv` from a remote GitHub repository, with population values scaled from the raw figures. Axis ticks and marks are rendered as SVG elements, with a tooltip showing formatted values using `d3.format`.

MMounishAllam@my.unt.edu

Activity 6_Question-1

A horizontal bar chart displays the population of ten countries in the year 2000, with bars extending from left to right. The visualization uses React to render SVG elements, with D3 v5's `scaleBand` and `scaleLinear` functions mapping country names and population values to the chart's axes. The `csv` function loads the dataset from a remote GitHub Gist, and the axis components are custom React components that call D3's tick generation methods. Population values are formatted using `format('.2s')` and converted from thousands to billions for the axis labels.

Rrajkodavati7@gmail.com

Vvarshithainaganti@gmail.com

Activity_6_Question_1.1

This horizontal bar chart displays the population of ten countries for the year 2000, using a logless linear scale. Built with React and rendered as an SVG, it imports D3 v5 functions like `scaleBand`, `scaleLinear`, and `format` to position bars and axes. The chart loads data from a CSV file, uses a custom `useData` hook, and includes separate modules for the bottom axis, left axis, and rectangular marks. Hovering over a bar reveals a native tooltip showing the formatted population value, while axis ticks are styled with blue lines.

PPavanKumarRacharla@my.unt.edu

Activity6_question1.1

A horizontal bar chart displays the population of ten countries for the year 2000, ranked by country, with each bar's length proportional to population. The visualization uses React with D3 v5's `scaleBand` and `scaleLinear` to map countries and population values to SVG coordinates. Data is loaded from a CSV via `d3.csv` and filtered to the first ten rows. Native SVG `<title>` elements provide tooltips, while axes are rendered through custom React components that generate ticks and labels.

Activity6 Task1Question1

A horizontal bar chart displays the populations of ten countries in the year 2000, sorted by country name. Each bar’s length encodes the population value, with a tooltip showing the formatted number on hover. The visualization is built with React and D3 v5, using `scaleBand` and `scaleLinear` for scales, SVG rectangles for marks, and axes rendered from custom React components. Data is loaded from a CSV file via D3’s `csv` method, and population values are formatted using D3’s `format` function.

Ppslharika@gmail.com

Activity_6_question_1.1

A horizontal bar chart displays the populations of ten countries in the year 2000, sourced from a CSV file. The visualization uses React with D3 v5, employing `scaleBand` and `scaleLinear` for positioning. SVG rectangles render the bars, with axes generated through custom `AxisBottom` and `AxisLeft` components. The x-axis labels are formatted using D3's `format` function to abbreviate numbers, and each bar includes a native SVG `<title>` element for tooltips.

11810vineeth@gmail.com

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.