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2. Data compression ratio - Wikipedia

   en.wikipedia.org/wiki/Data_compression_ratio

   Lossless compression of digitized data such as video, digitized film, and audio preserves all the information, but it does not generally achieve compression ratio much better than 2:1 because of the intrinsic entropy of the data.

3. Smallpdf.com - Wikipedia

   en.wikipedia.org/wiki/Smallpdf.com

   The idea came from the need for their families to compress and send large documents via email. [5] The initial version of the site featured a standalone PDF compression tool. [6] Since then, the online platform has introduced over 16 PDF tools to convert, compress and edit PDF documents. [7]

4. PDF24 Creator - Wikipedia

   en.wikipedia.org/wiki/PDF24_Creator

   PDF encryption, decryption and signing; Change PDF information (author, title, etc.) Compress and shrink PDF files; Add a watermark or stamp a PDF file; Combine pages with a digital paper; Convert to and from PDF; Multiple PDF printers for different purposes since 7.7.0; Full featured and lightweight PDF reader since version 8.7.0

5. File size - Wikipedia

   en.wikipedia.org/wiki/File_size

   Due to typical file system design, the amount of space allocated for a file is usually larger than the size of the file's data – resulting in a relatively small amount of storage space for each file, called slack space or internal fragmentation, that is not available for other files but is not used for data in the file to which it belongs.

6. Download attachments in AOL Mail

   help.aol.com/articles/download-attachments-in...

   Open the email. Click Download all attachments as a zip file. - The file will be downloaded to your computer. Open the file on your computer. It will often be under "Downloads".

7. Data compression - Wikipedia

   en.wikipedia.org/wiki/Data_compression

   Data compression aims to reduce the size of data files, enhancing storage efficiency and speeding up data transmission. K-means clustering, an unsupervised machine learning algorithm, is employed to partition a dataset into a specified number of clusters, k, each represented by the centroid of its points. This process condenses extensive ...