
Автор: Richard S. Segall, Gao Niu
Издательство: IGI Global
Год: 2020
Страниц: 252
Язык: английский
Формат: pdf (true), epub
Размер: 16.9 MB, 33.4 MB
With the development of computing technologies in todays modernized world, software packages have become easily accessible. Open source software, specifically, is a popular method for solving certain issues in the field of computer science. One key challenge is analyzing big data due to the high amounts that organizations are processing. Researchers and professionals need research on the foundations of open source software programs and how they can successfully analyze statistical data. Open Source Software for Statistical Analysis of Big dаta: Emerging Research and Opportunities provides emerging research exploring the theoretical and practical aspects of cost-free software possibilities for applications within data analysis and statistics with a specific focus on R and Python.