Data Analytics
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Dive into the world of Data Analytics – uncover insights, explore trends, and master data-driven decision making.

Admin: @HusseinSheikho || @Hussein_Sheikho
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Data Analytics
function oldFetch(url, callback) { const xhr = new XMLHttpRequest(); xhr.open('GET', url); xhr.onload = () => { if (xhr.status === 200) { callback(JSON.parse(xhr.response)); } else { callback(null, xhr.status); } }; xhr.send();…
## 🔹 Modern Browser APIs
### 1. Web Components
class MyElement extends HTMLElement {
connectedCallback() {
this.innerHTML = `<h2>Custom Element</h2>`;
}
}

customElements.define('my-element', MyElement);


### 2. Intersection Observer
const observer = new IntersectionObserver((entries) => {
entries.forEach(entry => {
if (entry.isIntersecting) {
entry.target.classList.add('visible');
}
});
});

document.querySelectorAll('.animate').forEach(el => {
observer.observe(el);
});


### 3. Web Storage
// Local Storage (persistent)
localStorage.setItem('theme', 'dark');
const theme = localStorage.getItem('theme');

// Session Storage (tab-specific)
sessionStorage.setItem('token', 'abc123');


---

## 🔹 Best Practices
1. Use ES modules for modern projects
2. Keep modules focused (single responsibility)
3. Configure tree-shaking to eliminate dead code
4. Use semantic versioning (^1.2.3 in package.json)
5. Set up pre-commit hooks (linting, formatting)

---

### 📌 What's Next?
In Part 7, we'll cover:
➡️ Object-Oriented JavaScript
➡️ Classes & Prototypes
➡️ Design Patterns

#JavaScript #ModernWeb #FrontendDevelopment 🚀

Practice Exercise:
1. Convert an existing script to ES modules
2. Create a Webpack config that bundles JS and CSS
3. Build a custom element with shadow DOM