Data Wrangling

7Managing Data Structure in R

Mittal Desai¹* and Chetan Dudhagara²

¹Smt. Chandaben Mohanbhai Patel Institute of Computer Applications, Charotar University of Science and Technology, Changa, Anand, Gujarat, India

²Dept. of Communication & Information Technology, International Agribusiness Management Institute, Anand Agricultural University, Anand, Gujarat, India

Abstract

The data structure allowed us to organize and store the data in a way that we needed in our applications. It helps us to reduce the storage space in a memory and fast access of data for various tasks or operations. R provides an interactive environment for data analysis and statistical computing. It supports several basic various data types that are frequently used in different calculation and analysis-related work. It supports six basic data types, such as numeric (real or decimal), integer, character, logical, complex, and raw. These basic data types are used for its analytics-related works on data. There are few more efficient data structures available in R, such as Vector, Factor, Matrix, Array, List, and Dataframe.

Keywords: Data structure, vector, factor, array, list, data frame

7.1 Introduction to Data Structure

R is an open-source programming language and software environment that is widely used as a statistical software and data analysis tool. R provides a wide variety of statistical and graphical techniques, including linear and nonlinear modeling, statistical tests, time-series analysis, classification, ...