# Data Structure ## Definition(s) ### Context [[Nexus - Google Analytics Certificate Course]] #### Sub-context [[Google Analytics - 7 Data Analysis with R Programming - Module 2 - Programming using RStudio]] >[! Definition] >In general, a format for organizing and storing data. > >Every programming language must provide some kind of data structure. They are required in order for a program to efficiently store and access data. ## Examples ### In[[R Programming]] - [[Data Frame]] - [[Matrix]] - [[Array]] - [[Vector]] The above are the most common data structures in R, there are others. ### In [[Python]] - [[list]] - [[Set]] - [[Tuple]] - [[Dictionary]] The above are the most common data structures in Python, there are others. ## Related ## Resources [Python Docs: 5. Data Structures](https://docs.python.org/3/tutorial/datastructures.html) [R Cookbook 2nd ed, Internet Edition: 5. Data Structures](https://rc2e.com/datastructures) ## Flashcards The below code are generated for use with [Spaced Repetition plugin](https://github.com/st3v3nmw/obsidian-spaced-repetition/) [docs](https://www.stephenmwangi.com/obsidian-spaced-repetition/) A format for organizing and storing data @@@ [[Data Structure]]