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Full Description
Expand Your Data Analysis with Python, R, and Tableau
Data Analytics Toolkit is designed to help professionals transition from spreadsheet-based analysis to more powerful tools like Python, R, and Tableau. With spreadsheets being the foundation of modern data analysis, this book bridges the gap for those without innate programming skills, offering a practical guide to enhancing your data analysis toolkit.
Through a series of real-world case studies, the book demonstrates how to create the same graphics using Excel, Tableau, Python, and R. By starting with Excel and gradually moving to more advanced tools, readers will learn the strengths and limitations of each platform. This comparative approach not only teaches how to use these tools but also deepens understanding of core data analysis concepts, making it easier to choose the right tool for each task.
Ideal for both beginners and those looking to expand their existing skills, this guide provides step-by-step instructions, including software installation and file management, to ensure a smooth transition. Whether you're just starting out or looking to enhance your data visualization and analysis capabilities, this is an invaluable resource for mastering Python, R, and Tableau.
Contents
Preface
About the Authors
Chapter 1: Bank Data
Chapter 2: Countries Data
Chapter 3: Wisconsin Elections Data
Chapter 4: COVID-19 Data
Chapter 5: Nightingale's Rose Data
Chapter 6: College Data
Chapter 7: Drug Overdose Data
Chapter 8: S&P 500 Data
Index
