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Mastering R for Quantitative Finance by Edina Berlinger, Ferenc Illés, Milán Badics, Ádám Banai, Gergely Daróczi, Barbara Dömötör, Gergely Gabler, Dániel Havran, Péter Juhász, István Margitai, Balázs Márkus, Péter Medvegyev, Julia Molnár, Balázs Árpád Szűcs, Ágnes Tuza, Tamás Vadász, Kata Váradi, Ágnes Vidovics-Dancs

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Chapter 4. Big Data – Advanced Analytics

In this chapter, we will deal with one of the biggest challenges of high-performance financial analytics and data management; that is, how to handle large datasets efficiently and flawlessly in R.

Our main objective is to give a practical introduction on how to access and manage large datasets in R. This chapter does not focus on any particular financial theorem, but it aims to give practical, hands-on examples to researchers and professionals on how to implement computationally - intensive analyses and models that leverage large datasets in the R environment.

In the first part of this chapter, we explained how to access data directly for multiple open sources. R offers various tools and options to load data ...

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