From 083a7a1f6b85d98486c7e18fcb193992f6a33f68 Mon Sep 17 00:00:00 2001
From: Eyshila Ivanha <eyshilaivanha@gmail.com>
Date: Wed, 5 Nov 2025 20:28:04 -0300
Subject: [PATCH 1/2] Added Text Analyzer mini project

---
 Number-Guess/TextAnalyzer/README.md |  0
 Number-Guess/TextAnalyzer/Text.py   | 23 +++++++++++++++++++++++
 2 files changed, 23 insertions(+)
 create mode 100644 Number-Guess/TextAnalyzer/README.md
 create mode 100644 Number-Guess/TextAnalyzer/Text.py

diff --git a/Number-Guess/TextAnalyzer/README.md b/Number-Guess/TextAnalyzer/README.md
new file mode 100644
index 0000000..e69de29
diff --git a/Number-Guess/TextAnalyzer/Text.py b/Number-Guess/TextAnalyzer/Text.py
new file mode 100644
index 0000000..6095274
--- /dev/null
+++ b/Number-Guess/TextAnalyzer/Text.py
@@ -0,0 +1,23 @@
+from collections import Counter
+
+def analyze_text(text):
+    words = text.split()
+    total_words = len(words)
+    total_chars = len(text)
+    total_no_spaces = len(text.replace(" ", ""))
+    
+    most_common_word = Counter(words).most_common(1)[0]
+    
+    print("\n📊 Text Analysis Results:")
+    print(f"➡️ Total words: {total_words}")
+    print(f"➡️ Total characters (with spaces): {total_chars}")
+    print(f"➡️ Total characters (without spaces): {total_no_spaces}")
+    print(f"➡️ Most used word: '{most_common_word[0]}' ({most_common_word[1]}x)")
+
+def main():
+    print("🧠 Text Analyzer — Python Project")
+    text = input("Enter or paste the text you want to analyze:\n\n")
+    analyze_text(text)
+
+if __name__ == "__main__":
+    main()

From 74745074146a98ab43081e015f92314804ff35dc Mon Sep 17 00:00:00 2001
From: EyshilaIvanha <eyshilaivanha@gmail.com>
Date: Thu, 6 Nov 2025 08:41:22 -0300
Subject: [PATCH 2/2] Atualizar o README.md

---
 Number-Guess/TextAnalyzer/README.md | 99 +++++++++++++++++++++++++++++
 1 file changed, 99 insertions(+)

diff --git a/Number-Guess/TextAnalyzer/README.md b/Number-Guess/TextAnalyzer/README.md
index e69de29..138dde4 100644
--- a/Number-Guess/TextAnalyzer/README.md
+++ b/Number-Guess/TextAnalyzer/README.md
@@ -0,0 +1,99 @@
+🧠 Text Analyzer — Python Project
+
+A simple and efficient text analyzer in Python that calculates basic statistics from user-provided text, such as total words, characters, and the most frequently used word.
+
+
+---
+
+🚀 Features
+
+Counts the total number of words
+
+Counts total characters, both with and without spaces
+
+Identifies the most used word in the text
+
+Displays results clearly in the terminal
+
+
+
+---
+
+🧩 Technologies Used
+
+Python 3
+
+Standard library collections (Counter)
+
+
+
+---
+
+📦 Installation
+
+1. Clone this repository:
+
+git clone https://github.com/sheylaghost/text-analyzer.git
+
+
+2. Navigate to the project directory:
+
+cd text-analyzer
+
+
+3. Run the script:
+
+python main.py
+
+
+
+
+---
+
+🧠 How to Use
+
+1. Run the program in your terminal.
+
+
+2. Enter or paste any text when prompted.
+
+
+3. View the automatically generated analysis.
+
+
+
+Example:
+
+🧠 Text Analyzer — Python Project
+Enter or paste the text you want to analyze:
+
+Python is amazing. Python is powerful.
+
+📊 Text Analysis Results:
+➡️ Total words: 5
+➡️ Total characters (with spaces): 39
+➡️ Total characters (without spaces): 34
+➡️ Most used word: 'Python' (2x)
+
+
+---
+
+💡 Possible Future Improvements
+
+Make the word count case-insensitive
+
+Remove punctuation before counting
+
+Calculate the number of unique words
+
+Export results to a .txt or .json file
+
+
+
+---
+
+🧑‍💻 Author
+
+Eyshila Ivanha de Brito
+Created as a Python learning exercise and open-source contribution.
+💬 Feel free to open issues or suggest improvements!
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