D
- Data Analytics
- Data Loss Prevention
- Data Migration
- Data Platform
- Data Privacy
- Data Science
- Data Transformation
- Deep Learning
- Definition of Protocol Analysis | OrangeMantra
- Denial of Service (DoS)
- Dependency Scanning
- DevOps
- DevSecOps Pipeline
- Digital Engineering
- Digital Forensics
- Digital Transformation
- Disaster Recovery
- Distributed Version Control System (DVCS)
- Dynamic Application Security Testing (DAST)
R Language
Simple Definition for Beginners:
R is a programming language used for statistical analysis, data visualization, and data manipulation, helping users turn raw data into meaningful insights.
Common Use Example:
A data analyst uses R to create graphs and charts that show trends in customer behavior, helping the company make informed business decisions.
Technical Definition for Professionals:
R is a powerful, open-source programming language and software environment designed for statistical computing and graphics. It is widely used among statisticians, data miners, and data scientists for developing statistical software and performing data analysis. R provides a comprehensive set of tools for data manipulation, calculation, and graphical display, including linear and nonlinear modeling, time-series analysis, classification, clustering, and more. R’s extensive library of packages allows users to extend its capabilities and apply cutting-edge techniques in data analysis and visualization. Additionally, R supports integration with other programming languages and data sources, making it a versatile tool in the data science ecosystem.
R Language