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Kkowshiksamudrala08@gmail.com

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This example displays a horizontal bar chart of population data for ten countries in the year 2000. A React functional component renders SVG elements, using D3’s `scaleBand` and `scaleLinear` to position the bars and axes. The chart loads CSV data via `d3.csv` from a GitHub repository, formats the tick labels with `d3.format`, and includes tooltips on each bar using SVG `<title>` elements. Axis components are built as separate ES6 modules for bottom and left orientations.

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This example presents a horizontal bar chart of population figures for 20 countries in 2020, arranged from top to bottom by country name. The chart uses React components to render SVG elements, with D3 v5’s `scaleBand` and `scaleLinear` for positioning bars and `format` to abbreviate axis tick labels. Data is loaded from a remote CSV using D3’s `csv` function, with population values computed by multiplying the 2010 column by 1000. Bars include a native SVG `<title>` tooltip showing the formatted population value.

HHarshita Vairagade

Kkowshiksamudrala08@gmail.com

Fork of Fork of activity 6_ Q1.2

This example displays a horizontal bar chart of population data for 20 countries, with each bar’s length proportional to the 2010 population value. The visualization uses D3’s `scaleBand` and `scaleLinear` for axis scaling, with formatted tick labels. Built with React and rendered as SVG, it loads data from a remote CSV via D3’s `csv` utility. Interactivity is basic, with tooltips showing the population value on hovering over a bar.

Aajaykumarseelam@my.unt.edu

Fork of Activity6_Question 1.2

This example displays a horizontal bar chart comparing the populations of 20 countries for the year 2010, using a bright green fill for the bars. The React application loads data from a remote CSV file via `d3.csv` and renders the visualization as an SVG. It uses D3 v5's `scaleBand` for the categorical y-axis and `scaleLinear` for the quantitative x-axis, with custom `AxisBottom`, `AxisLeft`, and `Marks` components. A tooltip showing the population in billions appears on hover, driven by the `<title>` element within each bar.

Aanusha.chilkamarri26@gmail.com

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This example shows a horizontal bar chart of population for twenty countries, using a log-like linear scale where each bar’s length encodes the 2010 population value. The visualization is built with React and D3 v5, using `scaleBand` for the categorical y-axis and `scaleLinear` for the continuous x-axis. Axes are rendered as SVG components, with tick formatting converting values to billions and a tooltip showing the precise figure. The data is loaded via D3’s `csv` from a GitHub repository, sliced to the top twenty entries.

Vvullihanumantharao@gmail.com

Fork of activity 6_Question 1A

This example shows a horizontal bar chart ranking population figures for ten countries in the year 2000, using a CSV dataset fetched from GitHub. The visualization uses D3 v5 scales (`scaleBand`, `scaleLinear`) to map country names and population values to screen coordinates, while React components (`AxisBottom`, `AxisLeft`, `Marks`) render the SVG axes and bars. Population values are formatted with `format('.2s')` to display compact tick labels like “1.2B,” and native SVG `<title>` elements provide hover tooltips with the same formatted values.

Fork of Activity6_Q1.2

This example displays a horizontal bar chart of 2010 population data for twenty countries, loaded from a CSV file. The chart uses React with D3 v5 scales and axes, including `scaleBand` for the y-axis and `scaleLinear` for the x-axis. SVG rectangles render the bars, with tooltips appearing on hover. The code imports D3 utilities like `csv`, `format`, and `max` to process and format the data, replacing 'G' with 'B' for billion labeling.

SShiva Sai Reddy

Fork of Activity_6_question-1.2

This example visualizes the 2020 populations of 20 countries as a horizontal bar chart, using SVG rectangles rendered through React components. It loads data from a GitHub-hosted CSV file via d3.csv, then maps each country’s population (converted from thousands) to bar widths using d3.scaleLinear, while d3.scaleBand positions the categorical y-axis labels. D3’s format method abbreviates large numbers, and custom AxisBottom and AxisLeft components generate styled ticks. The chart is built with React functional components and d3 v5, featuring green bars and blue tick lines.

AAbrarb702@gmail.com