All Flashcards
What are the differences between Lossless and Lossy Compression?
Lossless: Original data perfectly reconstructed | Lossy: Some data lost for smaller size.
What are the differences between Analog and Digital Data?
Analog: Continuous | Digital: Discrete, represented by bits.
How is binary conversion applied in real-world scenarios?
Translating human-readable data to computer-readable data and vice versa.
How is lossless compression applied in real-world scenarios?
Used for text files and software where no data loss is acceptable.
How is lossy compression applied in real-world scenarios?
Used for images, audio, and video where some data loss is acceptable for smaller file sizes.
How is metadata applied in real-world scenarios?
Organizing and managing digital files, such as images and documents.
How is data filtering applied in real-world scenarios?
Finding specific information from a database.
What is Binary Conversion?
Translating between decimal (base-10) and binary (base-2) representations.
What is Data Compression?
Reducing the number of bits needed to store or transmit data.
What is Lossless Compression?
Compression that allows the original data to be perfectly reconstructed.
What is Lossy Compression?
Compression that loses some data to achieve a smaller file size.
What is Data Analysis?
Examining data to identify trends, make connections, and solve problems.
What is Data Cleaning?
Making data uniform without changing its meaning.
What is Data Filtering?
Selecting specific data based on certain criteria.
What is Data Transformation?
Changing the format or structure of data.
What is the significance of 'context matters' in binary?
The same bits can represent different data types depending on interpretation.
What are overflow and rounding errors?
Errors due to bit limitations; overflow is when a number is too big, rounding when inexact.
What is the purpose of metadata?
Provides structure and organization to data; data about data.
How does data processing programs help?
Extracts information from data through filtering, transformation and manipulation.