Data compression mathematics

Data compression can be performed by using smaller strings of bits (0s and 1s) in place of the original string and using a ‘dictionary’ to decompress the data if required.
Other techniques include:

1. the introduction of pointers (references) to a string of bits that the compression program has become familiar with or removing redundant characters

Compression formats like ZIP, GZIP, etc., are used when transferring data via the internet.
The use of data compression techniques in digital communication greatly helps in reducing the time for a file transfer, the cost of storage, and traffic in the network.

File size reduction and transfer speed are the primary benefits of data compression.
However, these benefits lead to other efficiency gains in daily tasks, such as:

1. Faster and improved connection speeds across your data communication systems over heterogeneous networks (including :
2. slow networks)

There are two kinds of compression:

1. Lossless and Lossy

Lossy compression loses data, while lossless compression keeps all the data.
With lossless compression, we don’t get rid of any data.
Instead, the technique is based on finding smarter ways to encode the data.