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Information Science
First Year Student / Long-awaited Second Edition! Let's Experience the Data Analysis in Python Language! [Overview of this book] Are you worried about how to analyze the large amount of data collected by scraping, etc.? However, there are many people who think that "it seems to be difficult with mathematical expressions" or "it seems to be difficult to program". This book explains the method of data analysis in an easy-to-understand way based on samples. [Points of this book] Beginners who want to know the method of data analysis. It is a book that explains how to analyze data in a careful manner with Dr. Goat and Futaba co. ltd. It includes technical information to some extent, and teaches the techniques covered in this book. [Audience] Anaconda / Jupyter NotebookOSWindows11, macOS (Sonoma) Python version 3115 - Google Colab NotebookPython version 31012 [Contents] Chapter 1 : What is data analysis? Chapter 2 : Pre-processing is necessary when analyzing data. Chapter 3 : Pre-processing is necessary when analyzing data. Chapter 3 : Imaging characteristics with figures Chapter 5 : This is common or unusual? Normal distribution Chapter 6 : Prediction from relationships Regression analysis [Author profile] Yoshinao MORI Since the days of 『 Microcomputer BASIC Magazine 』 (Denpa Shinbun), he has been making games, and now he is involved in content creation and writing. He is a part-time lecturer at Kwansei Gakuin University, part-time lecturer at Kansai Gakuin High School, part-time lecturer at Nariyasu Zokei University, part-time lecturer at Osaka University of Arts, part-time lecturer at Programming School Copley. His recent works include 『 ChatGPT programming first year 』, 『 third year Python deep learning mechanism 』, 『 second year Python desktop application development mechanism 』, 『 Python third year 』, 『 Python third year Machine learning mechanism 』, 『 Python second year Data analysis mechanism 』, 『 Java first year 』 (both by Shoeisha). 2024