Akademik Veri Yönetim Sistemi
Finansal Veri Analitiği: Teori ve Uygulama , Sinem Derindere Köseoğlu, Editör, Springer-Verlag , Berlin, ss.23-57, 2022
There is enormous structured and unstructured data generated every moment in the financial sector in the digitalized era. The data can be used to create strategies for related parts of the financial sector. Even though some statistical properties of financial data have been studied using data from various sources for over half a century, the availability of big data in the financial sector and the developed applications of computer-intensive techniques for investigating their properties have opened new horizons to analysts in the sector in the last two decades. Digitization in the financial sector has enabled technology forms of advanced data analytics. In this book, most of these financial data analysis issues are tried to be addressed. This chapter is handled as an introduction to the subject. Therefore, in this chapter, data science, data types, financial time series data properties, data analysis techniques, and data analysis processes are explained. In addition, RStudio has been handled as an introduction here. This chapter covers working with data structure, working with data-frames, importing data from different data sources, data preparation (cleaning data, handling missing data, and manipulation data) using some statistical functions, analyzing financial basic time series characteristics, and data visualization with RStudio.