Huffman Encoding Implementation for .txt Text Files with Compression Ratio Analysis

The method mentioned in this document for performing Huffman encoding on .txt text files and calculating compression ratios serves as an effective data compression technique. Huffman coding is an algorithm that converts characters into binary codes, achieving text compression by assigning shorter binary codes to characters with higher frequency in the text. From a code implementation perspective, this typically involves building a frequency dictionary through character counting, constructing a Huffman tree using a priority queue (min-heap), and generating optimal prefix codes through tree traversal. The compression ratio is determined by calculating the size ratio between the Huffman-encoded text and the original text, providing a quantitative measure to evaluate the effectiveness of this compression method. Key programming components include implementing the HuffmanNode class for tree structure, developing encoding/decoding functions, and handling bit-level operations for efficient binary representation. Therefore, employing Huffman coding as a data compression approach represents a valuable method worthy of exploration and practical application in data storage and transmission scenarios.