Data cannot be compressed unless it has redundancy.

Name: Data cannot be compressed unless it has redundancy.
Brand: Quizplus
Rating: 4.8 (31 reviews)

Question

Quizplus · Accepted Answer

Redundancy refers to the presence of predictable patterns or repeated data within a dataset. Compression algorithms take advantage of this redundancy to remove unnecessary information and minimize file size. Without redundancy, there would be no way to remove unnecessary data and compress the dataset.

Data Cannot Be Compressed Unless It Has Redundancy