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Understanding data structures is key for effective data analysis from "summary" of R for Data Science by Hadley Wickham,Garrett Grolemund
To effectively analyze data in R, it is crucial to have a deep understanding of data structures. Data structures are the foundation upon which all data analysis in R is built. By knowing how data is organized and stored, you can manipulate and extract insights from the data more efficiently and accurately. One of the most common data structures in R is the data frame. Data frames are used to store tabular data in rows and columns, similar to a spreadsheet. Understanding how to work with data frames allows you to perform tasks such as filtering, sorting, and summarizing data with ease. By knowing the structure of a data frame, you can quickly locate and access the information you need for your analysis. Another important data structure in R is the vector. Vectors are used to store sequences of values, such as numbers or characters. By understanding how vectors are constructed and manipulated, you can perform ca...
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