🧠 Core Concepts To Be Mastered

🔁 Array Methods

• reduce() → Aggregation, transformation, grouping, counting
• map() → Element-wise transformation
• filter() → Conditional selection
• sort() → Custom sorting logic (numeric, string, object properties)

🧮 Object Utilities

• Object.entries() → Convert object to array of [key, value] pairs
• Object.keys() / Object.values() → Extract keys or values
• Object transformation → Mapping entries into structured objects

🗃️ Data Structures

• Arrays of objects → Searching, grouping, deduping
• Plain objects → Used as hash maps for counting and grouping
• Map → Key-value store with dynamic updates and lookups

🔍 Searching & Matching

• find() → Locate specific object in array
• Manual search via filter() or reduce() for custom logic

🧹 Deduplication

• Removing duplicates from arrays using:
• Set
• reduce
• filter with index checks

📊 Aggregation Patterns

• Grouping by property (e.g. user, age, product)
• Counting occurrences
• Calculating totals, averages, and frequencies

🧾 Real-World Logic

• Invoice summaries
• Word frequency dashboards
• User activity tracking
• Sorting and filtering analytics data

🧩 Fusion Techniques

• Chaining multiple array methods for clean pipelines
• Converting objects to arrays for sorting and filtering
• Using conditional logic inside map() to enrich data (e.g. tagging importance)