Why does the frequency of character usage impact the efficiency of Huffman coding in compressing text within a digital document?

💡 Explanation

Huffman coding effectiveness relies on entropy encoding, because it uses variable-length codes. The mechanism of assigning shorter bit sequences to frequent characters minimizes the average code length; therefore compression is higher when some symbols occur more often, rather than attempting fixed or less-efficient encoding, which assumes equal probability.

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