shaiksajidali

Q2_AreaChart

Covid

coviddata

Q2_AreaChart

Q1_piechart

Q1_piechart

Task9t1

task9&10DV

Assignment9Tutorial

A8Task4

A8Task3

Activity8-T4

Activity8-T3.2

Activity8-T3

Activity8-T3

Activity8-Task2

Activity8-T2

Activity8-Task1.2

Activity8-Task1.1

ACTIVITY8

Activity 8

act8

5 buddha

A field of small, randomly placed and colored polygons forms a dense, chaotic background. Over this, five overlapping Buddha silhouettes are rendered as detailed SVG paths. The React application uses `Math.random()` to generate polygon positions, colors, and rotations within a 960x1000 viewBox. The static Buddha paths are scaled and translated to create the overlapping effect against the black background.

Fork of Fork of Create a face with d3.js!

This example draws a simple cartoon face using D3.js and SVG primitives, rendered on a 960x500 canvas. It constructs a light blue circle for the head, two ellipses for eyes, rectangular eyebrows, and a red arc for a mouth, all positioned with grouped transformations. The illustration demonstrates D3’s selection and shape-creation methods, including `arc()` for the mouth path, and uses D3 v7 loaded via UNPKG. The code shows how to build a static scene with directly defined geometry and coordinates.

Fork of Fork of Loading and parsing CSV data

This example demonstrates how to fetch and parse a CSV file in the browser using the Fetch API, loading CSS named color data from a GitHub gist. The code defines an asynchronous function that retrieves the text content from a provided URL and logs it to the console. It uses `fetch()` and `response.text()` to handle the network request and text extraction, showcasing the basic pattern for loading external data before any parsing or visualization occurs. No chart is rendered; the focus is solely on the data-loading step.

Fork of Loading and parsing CSV data

This example demonstrates the initial step of loading and parsing CSV data from a remote URL, using the Fetch API to retrieve the contents of a CSS named colors dataset. The code defines an asynchronous `fetchText` function that makes a network request and returns the response as text, then logs that text to the browser console. It highlights a minimal approach to fetching remote data, laying groundwork for future CSV parsing and visualization work in a React environment.