Bird
Raised Fist0
DSA Typescriptprogramming~5 mins

Anagram Check Techniques in DSA Typescript - Cheat Sheet & Quick Revision

Choose your learning style10 modes available
Recall & Review
beginner
What is an anagram?
An anagram is a word or phrase formed by rearranging the letters of another word or phrase, using all original letters exactly once.
Click to reveal answer
beginner
How can sorting be used to check if two strings are anagrams?
Sort both strings alphabetically and compare them. If they are identical after sorting, they are anagrams.
Click to reveal answer
intermediate
Explain the frequency counting technique for anagram checking.
Count the frequency of each character in both strings using a map or array. If all counts match, the strings are anagrams.
Click to reveal answer
intermediate
What is the time complexity of the sorting method for anagram checking?
The time complexity is O(n log n), where n is the length of the strings, due to sorting.
Click to reveal answer
intermediate
Why is frequency counting often preferred over sorting for anagram checks?
Frequency counting can be done in O(n) time, which is faster than sorting's O(n log n), especially for long strings.
Click to reveal answer
Which technique involves sorting both strings to check for anagrams?
ASorting method
BFrequency counting
CHashing with prime numbers
DBrute force comparison
What is the main data structure used in frequency counting for anagram checks?
AStack
BQueue
CHash map or array
DLinked list
If two strings have different lengths, can they be anagrams?
AOnly if they share some characters
BYes, always
COnly if one is a substring
DNo, never
What is the time complexity of frequency counting for anagram checking?
AO(n log n)
BO(n)
CO(n^2)
DO(1)
Which of these is NOT a valid anagram check technique?
AComparing string lengths only
BCounting character frequencies
CSorting both strings
DUsing prime number multiplication hashing
Describe two common techniques to check if two strings are anagrams.
Think about rearranging letters or counting how many times each letter appears.
You got /2 concepts.
    Explain why frequency counting can be more efficient than sorting for anagram checks.
    Consider the time it takes to sort versus just counting.
    You got /3 concepts.

      Practice

      (1/5)
      1. What does it mean if two strings are anagrams of each other?
      easy
      A. They contain the same characters in any order
      B. They have the same length but different characters
      C. They start with the same character
      D. They end with the same character

      Solution

      1. Step 1: Understand the definition of anagrams

        Anagrams are words or phrases made by rearranging the letters of another, so they must have the same characters.
      2. Step 2: Compare the character sets

        If two strings have exactly the same characters, just in different orders, they are anagrams.
      3. Final Answer:

        They contain the same characters in any order -> Option A
      4. Quick Check:

        Anagrams = same characters [OK]
      Hint: Check if sorted strings match to confirm anagrams [OK]
      Common Mistakes:
      • Thinking same length means anagrams
      • Only comparing first or last characters
      • Ignoring character counts
      2. Which TypeScript code snippet correctly checks if two strings are anagrams by sorting?
      easy
      A. const isAnagram = (a: string, b: string) => a.split('').sort().join('') === b.split('').sort().join('');
      B. const isAnagram = (a: string, b: string) => a.split('').sort() === b.split('').sort();
      C. const isAnagram = (a: string, b: string) => a.sort() === b.sort();
      D. const isAnagram = (a: string, b: string) => a === b;

      Solution

      1. Step 1: Understand string sorting in TypeScript

        Strings must be split into arrays, sorted, then joined back to strings for comparison.
      2. Step 2: Identify correct syntax

        const isAnagram = (a: string, b: string) => a.split('').sort().join('') === b.split('').sort().join(''); correctly splits, sorts, and joins both strings before comparing.
      3. Final Answer:

        const isAnagram = (a: string, b: string) => a.split('').sort().join('') === b.split('').sort().join(''); -> Option A
      4. Quick Check:

        Sort and join strings before compare [OK]
      Hint: Always join after sorting arrays to compare strings [OK]
      Common Mistakes:
      • Comparing arrays directly without join
      • Trying to sort strings directly
      • Comparing strings without sorting
      3. What is the output of this TypeScript code?
      function areAnagrams(s1: string, s2: string): boolean {
        const normalize = (str: string) => str.toLowerCase().replace(/\s+/g, '').split('').sort().join('');
        return normalize(s1) === normalize(s2);
      }
      
      console.log(areAnagrams('Listen', 'Silent'));
      console.log(areAnagrams('Hello', 'Olelh'));
      console.log(areAnagrams('Test', 'Taste'));
      medium
      A. true false false
      B. true true false
      C. false true true
      D. false false true

      Solution

      1. Step 1: Normalize strings by lowercasing, removing spaces, sorting

        'Listen' and 'Silent' normalize to 'eilnst', 'Hello' and 'Olelh' normalize to 'ehllo', 'Test' and 'Taste' normalize to 'estt' and 'aestt' respectively.
      2. Step 2: Compare normalized strings

        'Listen' vs 'Silent' match (true), 'Hello' vs 'Olelh' match (true), 'Test' vs 'Taste' do not match (false).
      3. Final Answer:

        true true false -> Option B
      4. Quick Check:

        Normalized strings equal means true [OK]
      Hint: Normalize strings before comparing for anagram check [OK]
      Common Mistakes:
      • Ignoring case differences
      • Not removing spaces
      • Not sorting characters
      4. Identify the bug in this TypeScript function that checks anagrams:
      function isAnagram(a: string, b: string): boolean {
        return a.split('').sort() === b.split('').sort();
      }
      medium
      A. Not removing spaces before comparison
      B. Missing toLowerCase() for case-insensitive check
      C. Comparing arrays directly instead of strings
      D. Using split() without arguments

      Solution

      1. Step 1: Understand array comparison in TypeScript

        Arrays compared with === check reference, not content, so two sorted arrays won't be equal even if same elements.
      2. Step 2: Fix by joining arrays to strings before comparing

        Joining sorted arrays to strings allows content comparison, fixing the bug.
      3. Final Answer:

        Comparing arrays directly instead of strings -> Option C
      4. Quick Check:

        Arrays need join() before compare [OK]
      Hint: Join sorted arrays before comparing for equality [OK]
      Common Mistakes:
      • Comparing arrays with ===
      • Ignoring case sensitivity
      • Not trimming spaces
      5. Given two strings, how can you efficiently check if they are anagrams using a character count map in TypeScript? Which code snippet correctly implements this?
      hard
      A. function isAnagram(a: string, b: string): boolean { if (a.length !== b.length) return false; const count: Record = {}; for (const char of a) count[char] = (count[char] || 0) + 1; for (const char of b) { if (!count[char]) return false; count[char]--; } return true; }
      B. function isAnagram(a: string, b: string): boolean { return a.split('').sort().join('') === b.split('').sort().join(''); }
      C. function isAnagram(a: string, b: string): boolean { return a.length === b.length; }
      D. function isAnagram(a: string, b: string): boolean { const mapA = new Map(); for (const c of a) mapA.set(c, (mapA.get(c) || 0) + 1); for (const c of b) mapA.set(c, (mapA.get(c) || 0) - 1); return [...mapA.values()].every(v => v === 0); }

      Solution

      1. Step 1: Understand character count map approach

        Count characters in first string, subtract counts using second string, then check all counts zero.
      2. Step 2: Analyze each option

        function isAnagram(a: string, b: string): boolean { if (a.length !== b.length) return false; const count: Record = {}; for (const char of a) count[char] = (count[char] || 0) + 1; for (const char of b) { if (!count[char]) return false; count[char]--; } return true; } misses checking if count goes negative; function isAnagram(a: string, b: string): boolean { return a.split('').sort().join('') === b.split('').sort().join(''); } uses sorting (correct but not map); function isAnagram(a: string, b: string): boolean { return a.length === b.length; } only checks length; function isAnagram(a: string, b: string): boolean { const mapA = new Map(); for (const c of a) mapA.set(c, (mapA.get(c) || 0) + 1); for (const c of b) mapA.set(c, (mapA.get(c) || 0) - 1); return [...mapA.values()].every(v => v === 0); } correctly uses Map to count and verify zero counts.
      3. Final Answer:

        Option D correctly implements character count map with Map and zero check -> Option D
      4. Quick Check:

        Map counts increment/decrement, all zero means anagram [OK]
      Hint: Use map to count chars, decrement, then check all zero [OK]
      Common Mistakes:
      • Not checking for negative counts
      • Only comparing lengths
      • Using sorting instead of counting
      Recommended

      Ready to prove it?

      Pass the test and this pattern moves unknown strong while earning +1 Grip toward your certificate.

      10 questions~5 mineasy hard