December 2024
Beginner to intermediate
505 pages
10h 54m
English
Content preview from Financial Data Analysis Using Python
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CHAPTER 4
EXPLORATORY DATA ANALYSIS FOR FINANCE
INTRODUCTION
This chapter describes the tools and patterns of exploratory data analysis (EDA) for the financial sector. We start by discussing extract, transform, and load (ETL) data processes, focusing on inspecting and clearing datasets, transforming formats, etc. Here, we will detail mathematical and other transformations, such as the rate of return (RoR), that are essential for financial data preparation. After that, we will learn how to handle missing data, duplicates, and errors. Then, we will move on to the basics of EDA, where we will get hands-on experience with data visualization. We will introduce you to basic descriptive statistics metrics and three fundamental statistical graphics ...
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