activity 6_Task 1

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.

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

activity 6_Task 1

This horizontal bar chart displays the 2020 populations of 30 countries, using light-green bars sorted by country name. The visualization is built with React and SVG, and leverages D3.js scale functions (`scaleLinear` and `scaleBand`) to map population values and country categories to pixel coordinates. The data is loaded from a remote CSV using D3's `csv` method, with axes rendered by custom `AxisBottom` and `AxisLeft` components.

SSrihith Reddy Gaddam

Mmaheshsachin1234@gmail.com

activity 6_Task 1

A horizontal bar chart displays population figures for the top 30 countries in 2020, using a linear scale for population and a band scale for country names. The visualization, built with React and D3 v5, renders SVG rectangles whose lengths encode population values, with axes and tick labels generated by custom components. Data is loaded from a CSV file via D3's `csv` function, and the axis formatting converts large numbers to abbreviated labels.

LLakshmiDeepikaPagadala@my.unt.edu

Activity6_Task1

This bar chart visualizes the 2020 population estimates for the top 30 countries, sorted by country name. The horizontal bars are rendered as SVG rectangles using React, with the D3 library's `scaleBand` and `scaleLinear` functions handling the axis mappings. Data is loaded from a remote CSV file via the `d3.csv` function, and axis ticks and labels are generated with custom React components. The chart includes a fixed color scheme and a tooltip that displays the formatted population value.

Activity6_Task 1

This bar chart displays the top 30 countries by 2020 population, ranked along a vertical band scale. The visualization uses D3 v5 for data loading and scale creation, with React components rendering SVG rectangles for each bar. The code applies `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, formatting tick labels with `d3.format`. Data is fetched as CSV from a GitHub repository, with values multiplied by 1000 to represent actual population figures.

UUday Vandanapu

Kkowshiksamudrala08@gmail.com

activity 6_Task 1

This bar chart displays the top 30 countries by 2020 population, using horizontal bars to compare values against a linear scale. The visualization sorts countries vertically with a band scale, formats tick labels using D3’s `format` function to abbreviate numbers, and renders axes and marks as SVG elements within a React component. Data loads asynchronously via `d3.csv` from a remote GitHub repository, with tooltips showing formatted population values on hover.

activity 6_Task 1

This horizontal bar chart displays the top 30 countries by 2020 population, sorted in descending order. The visualization uses a linear x-scale for population values and a band y-scale for country names, with teal bars rendered as SVG rectangles in a React component. Data is loaded via `d3.csvParse` from a GitHub gist, with axis ticks formatted in millions. The code demonstrates React state management with `useState` and `useEffect` hooks alongside D3’s `scaleLinear` and `scaleBand` APIs.

SSrihith Reddy Gaddam