Welcome to this walkthrough on how to find duplicate characters in a string using Java! This solution is simple, effective, and perfect for interviews, automation tools, or data validation tasks.
✅ What Is a Duplicate Character?
A character is considered a duplicate if it appears more than once in a string.
In this approach:
We treat uppercase and lowercase as the same (case-insensitive)
We ignore white spaces for cleaner results
🎯 Example
Input:
"Automation Testing"
After processing:
"a, t, o, i, n"
🧠 Step-by-Step Logic
Let’s break down how this program identifies duplicate characters:
🔹 Step 1: Convert the String to Lowercase
To make the comparison case-insensitive, the input string is converted entirely to lowercase. This ensures that characters like 'T' and 't' are treated the same.
🔹 Step 2: Create a Map to Track Character Frequency
We use a data structure that stores each character along with how many times it appears.
The key is the character
The value is the number of occurrences
🔹 Step 3: Iterate Through the Characters
We scan each character in the string:
If it’s already in the map, increase its count
If it’s not, add it to the map with a count of 1
🔹 Step 4: Identify and Print Duplicates
After building the frequency map, we go through each character and:
If its count is more than 1, we consider it a duplicate
These characters are printed as output
🔍 Example Walkthrough
Let’s analyze the string: "Automation Testing"
After converting to lowercase → "automation testing"
The frequency count becomes:
a → 2
u → 1
t → 3
o → 2
m → 1
i → 2
n → 2
e → 1
s → 1
g → 1
From this, the characters with more than one occurrence are:
a, t, o, i, n
✅ Output
The final printed results look like:
print removed duplicate characters: a
print removed duplicate characters: t
print removed duplicate characters: o
print removed duplicate characters: i
print removed duplicate characters: n
📌 Summary
Here’s what this program achieves:
Detects and prints characters that occur more than once
Uses a HashMap to store character counts
Ignores white spaces
Is case-insensitive for better accuracy
⏱️ Time & Space Complexity
Time Complexity: O(n), where n is the length of the input string
Space Complexity: O(k), where k is the number of unique characters
🔧 Optional Improvements
✅ Ignore spaces or punctuation by adding a condition
✅ Use a TreeMap instead of HashMap to get sorted output
✅ Return the duplicates in a list instead of printing
🔖 Hashtags
#Java, #JavaProgramming, #StringProcessing, #DuplicateCharacters, #CharacterFrequency, #JavaDeveloper, #LearnJava, #JavaTutorial, #CodingWithJava, #JavaBeginners, #HashMap, #DataStructures, #CodeLogic, #CaseInsensitive, #FrequencyCounter, #CodingTips, #JavaLearning, #AutomationTesting, #InterviewPrep, #CleanCode
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