# data[].attributes.body
The process of converting data (like text or numbers) into a specific format, so it can be stored, transmitted, or understood by computers.

# data[].attributes.body
The smallest unit of data in computing, represented as a 0 or 1. It stands for "binary digit."

# data[].attributes.body
A group of 8 bits. It's the basic unit of data storage in most computers.

# data[].attributes.body
Information that is processed or stored by a computer. It can be anything, like text, numbers, or images.

# data[].attributes.body
A number system that uses only two digits: 0 and 1. It's the language that computers use to process data.

# data[].attributes.body
The number system we use in everyday life. It is based on 10 digits (0-9).

# data[].attributes.body
A number system that uses 16 digits (0-9 and A-F). It's often used in computing because it represents binary data more compactly.

# data[].attributes.body
The process of simplifying complex data by focusing on important details while ignoring irrelevant information.

# data[].attributes.body
The technique of reducing the size of a data file to save storage space or improve transmission speed.

# data[].attributes.body
A collection of related data points, often organized in a structured format for analysis.

# data[].attributes.body
A type of data compression that removes some information permanently to achieve higher compression rates, often used in images, audio, and video files.

# data[].attributes.body
A type of data compression where no information is lost, allowing the original data to be perfectly reconstructed.

# data[].attributes.body
Data that provides information about other data, such as file size, creation date, or author details.

# data[].attributes.body
The process of removing unwanted or irrelevant data to improve the accuracy and efficiency of analysis.

# data[].attributes.body
The ability of a system, process, or algorithm to handle an increasing amount of work or data efficiently.

# data[].attributes.body
A statistical measure that indicates the relationship between two or more variables, showing how changes in one variable affect another.

# data[].attributes.body
The identification of trends, structures, or regularities within a data set to make predictions or find meaningful insights.

# data[].attributes.body
The method used to select a subset of data from a larger population for analysis, ensuring that it represents the whole accurately.

# data[].attributes.body
A problem-solving process using concepts like patterns, abstraction, and algorithms.

# data[].attributes.body
Running multiple processes at the same time to speed up tasks.

# data[].attributes.body
Using multiple connected computers to work on different parts of a task.

# data[].attributes.body
The ability of a system to keep working even if part of it fails.

# data[].attributes.body
Extra components or systems used as backups in case of failure.

# data[].attributes.body
The maximum amount of data that can be transmitted over a network in a given time.

# data[].attributes.body
The process of choosing paths for data to travel across networks.

# data[].attributes.body
A set of rules for how data is sent and received over a network.

# data[].attributes.body
Continuous flow of data between two points.

# data[].attributes.body
A small unit of data sent over a network.

# data[].attributes.body
The set of rules for addressing and routing packets of data.

# data[].attributes.body
Ensures reliable, ordered, and error-checked delivery of data.

# data[].attributes.body
Using the least amount of resources (time, space, energy) to get a task done.

# data[].attributes.body
Devices or systems linked together to share information.

# data[].attributes.body
The time a program takes to execute or the environment in which it runs.