Why Group Anagrams Using Hash Map in DSA Typescript?

The Big Idea

What if you could find all matching word puzzles instantly without checking each pair one by one?

The Scenario

Imagine you have a big list of words, and you want to find which words are anagrams--words made of the same letters but in different orders, like "listen" and "silent". If you try to compare each word with every other word by checking all letters manually, it will take a very long time.

The Problem

Checking every pair of words letter by letter is slow and tiring. It's easy to make mistakes, and as the list grows, the time to finish grows much faster. This manual way is like trying to find matching socks by looking at every sock one by one instead of sorting them first.

The Solution

Using a hash map, we can group words by their sorted letters. We turn each word into a key by sorting its letters alphabetically, then put all words with the same key together. This way, all anagrams naturally group together quickly and easily.

Before vs After

✗ Before

for (let i = 0; i < words.length; i++) {
  for (let j = i + 1; j < words.length; j++) {
    if (areAnagrams(words[i], words[j])) {
      // group them
    }
  }
}

✓ After

const map = new Map<string, string[]>();
for (const word of words) {
  const key = word.split('').sort().join('');
  if (!map.has(key)) map.set(key, []);
  map.get(key)!.push(word);
}

What It Enables

This method lets us quickly and easily find all groups of anagrams in a list, no matter how big it is.

Real Life Example

Think about a spell-checker or word game app that needs to find all words that can be made from the same letters. Grouping anagrams fast helps these apps work smoothly and give instant results.

Key Takeaways

Manual pairwise comparison is slow and error-prone.

Hash map groups words by sorted letters as keys.

This approach quickly finds all anagram groups in large lists.

Practice

1. What is the main idea behind grouping anagrams using a hash map?

easy

A. Count the number of vowels in each word and group by count

B. Use sorted strings as keys to group words with the same letters

C. Group words by their length using a hash map

D. Use the first letter of each word as the key in the hash map

Solution

1. Step 1: Understand anagrams

   Anagrams are words with the same letters in different orders.

2. Step 2: Use sorted string as key

   Sorting letters of each word gives a unique key for all its anagrams.

3. Final Answer:

   Use sorted strings as keys to group words with the same letters -> Option B

4. Quick Check:

   Sorted word key groups anagrams = A [OK]

Hint: Sort each word to find its anagram group key [OK]

Common Mistakes:

• Grouping by word length only
• Using first letter as key
• Counting vowels instead of letters

2. Which TypeScript syntax correctly initializes a hash map to group anagrams?

easy

A. const map = new Map();

B. const map = new Map();

C. const map = new Map();

D. const map = new Map();

Solution

1. Step 1: Identify key and value types

   Keys are sorted strings, values are arrays of strings (anagrams).

2. Step 2: Match types in Map initialization

   Map matches key as string and value as string array.

3. Final Answer:

   const map = new Map(); -> Option A

4. Quick Check:

   Map key=string, value=string array = D [OK]

Hint: Map keys are strings; values are arrays of strings [OK]

Common Mistakes:

• Using number as key instead of string
• Using number array as value
• Confusing value type with number

3. What is the output of this TypeScript code?

function groupAnagrams(strs: string[]): string[][] {
  const map = new Map();
  for (const str of strs) {
    const key = str.split('').sort().join('');
    if (!map.has(key)) map.set(key, []);
    map.get(key)!.push(str);
  }
  return Array.from(map.values());
}

console.log(groupAnagrams(['eat', 'tea', 'tan', 'ate', 'nat', 'bat']));

medium

A. [["eat", "tan", "bat"], ["tea", "nat", "ate"]]

B. [["eat"], ["tea"], ["tan"], ["ate"], ["nat"], ["bat"]]

C. [["eat", "tea", "ate"], ["tan", "nat"], ["bat"]]

D. [["bat", "nat", "tan"], ["ate", "tea", "eat"]]

Solution

1. Step 1: Sort each word to create keys

   "eat", "tea", "ate" all sort to "aet"; "tan", "nat" to "ant"; "bat" to "abt".

2. Step 2: Group words by keys in map

   Map groups: "aet" -> ["eat", "tea", "ate"], "ant" -> ["tan", "nat"], "abt" -> ["bat"].

3. Final Answer:

   [["eat", "tea", "ate"], ["tan", "nat"], ["bat"]] -> Option C

4. Quick Check:

   Sorted keys group anagrams = B [OK]

Hint: Sort letters to find groups, then collect values [OK]

Common Mistakes:

• Mixing groups by length or first letter
• Returning individual words instead of groups
• Incorrect grouping order

4. Identify the bug in this TypeScript code for grouping anagrams:

function groupAnagrams(strs: string[]): string[][] {
  const map = new Map();
  for (const str of strs) {
    const key = str.split('').sort();
    if (!map.has(key)) map.set(key, []);
    map.get(key)!.push(str);
  }
  return Array.from(map.values());
}

medium

A. The key is an array, should be a string after join()

B. map.get(key) returns undefined, should check with has() first

C. Using Map instead of plain object causes error

D. Missing return type annotation on function

Solution

1. Step 1: Check key creation

   str.split('').sort() returns an array, not a string key.

2. Step 2: Fix key by joining sorted array

   Use str.split('').sort().join('') to create string key for map.

3. Final Answer:

   The key is an array, should be a string after join() -> Option A

4. Quick Check:

   Key must be string, not array = A [OK]

Hint: Join sorted array to form string key [OK]

Common Mistakes:

• Using array as map key without joining
• Ignoring map.has() check
• Confusing Map with plain object

5. Given the input array ['abc', 'bca', 'cab', 'xyz', 'zyx', 'zxy', 'aabb', 'baba'], which code snippet correctly groups anagrams using a hash map and filters out groups with less than 3 words?

hard

A. const map = new Map();
for (const str of strs) {
const key = str[0];
if (!map.has(key)) map.set(key, []);
map.get(key)!.push(str);
}
return Array.from(map.values()).filter(group => group.length >= 3);

B. const map = new Map();
for (const str of strs) {
const key = str.length.toString();
if (!map.has(key)) map.set(key, []);
map.get(key)!.push(str);
}
return Array.from(map.values()).filter(group => group.length >= 3);

C. const map = new Map();
for (const str of strs) {
const key = str.split('').reverse().join('');
if (!map.has(key)) map.set(key, []);
map.get(key)!.push(str);
}
return Array.from(map.values()).filter(group => group.length >= 3);

D. const map = new Map();
for (const str of strs) {
const key = str.split('').sort().join('');
if (!map.has(key)) map.set(key, []);
map.get(key)!.push(str);
}
return Array.from(map.values()).filter(group => group.length >= 3);

Solution

1. Step 1: Create keys by sorting letters

   Sorting letters groups anagrams correctly, e.g., "abc", "bca", "cab" all become "abc".

2. Step 2: Filter groups with 3 or more words

   Use filter to keep only groups where length >= 3.

3. Final Answer:

   Code snippet using sorted keys and filtering groups by length >= 3 -> Option D

4. Quick Check:

   Sort keys + filter groups >= 3 = C [OK]

Hint: Sort letters for keys, then filter groups by size [OK]

Common Mistakes:

• Using word length or first letter as key
• Reversing letters instead of sorting
• Not filtering groups by size