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task9(question2)

Question2_Task9

Question2_Task9

Question1_Task9

Activity6_task3

activity6_task4

Activity6_Task4_Tutorial

activity6_tutorial3.2

activity6_tutorial

Fork of Activity6_task2

Activity6_task2

Activity6_Task2

activity6_tutorial

Activity6_tutorial

Activity6_Task2

Activity6_Task1.2

Activity6_Task1

2Buddhas

A dense scatter of random translucent circles overlays a large single-line SVG path of the Buddha, drawn in glowing colors against a black background. The circles, colored via random RGB values and positioned using the `Math.random()` function, create a textured, particle-like effect. The Buddha path is rendered with React elements, where nested `map` loops generate hundreds of `<circle>` elements inside an `<svg>` container. The visualization demonstrates an abstract, colorful composition combining geometric noise with a recognizable sacred figure.

5 Buddhas

Five Buddhas overlap in a circular mandala-like pattern on a black background, rendered as translucent SVG polygons with randomized positions and rainbow colors. The central figure is constructed from a large, detailed path, while four smaller identical Buddha silhouettes surround it. The rendering uses React to map over numeric arrays, generating 21 concentric layers of semi-transparent shapes. A complex orange-and-white path drawing forms the primary Buddha figure at the center, surrounded by the smaller, colorful geometric iterations.

2Buddhas

A React and SVG composition renders two faint Buddha silhouettes from embedded path data, overlaid with a dense scatter of semi-transparent circles. The circles’ positions and colors are generated procedurally using nested `Array.map` loops and `Math.random`, producing a chaotic, colorful cloud across the canvas. The SVG paths are drawn with thick strokes, while the random circles are placed with a fixed radius of 5 pixels. The code runs in a React app using `react` and `react-dom`, with the SVG output displayed on a black background.

Fork of World Cities

This visualization displays a world map of cities, with each city represented by a small dot positioned according to its geographic coordinates. It highlights the global distribution of populated places, using a Natural Earth projection to render continents and a graticule for reference. The code loads GeoJSON country boundaries via TopoJSON and city data from a CSV, then uses D3’s geoNaturalEarth1, geoPath, and geoGraticule to project and draw the features. Circles are plotted with a radius of 0.2 pixels, while the outline path frames the projection.