Applied user data collection and analysis using JavaScript and PHP

Applied User Data Collection and Analysis Using JavaScript and PHP is designed to provide the technical skills and competency to gather a wide range of user data from web applications in both active and passive methods. This is done by providing the reader with real-world examples of how a variety of different JavaScript- and PHP-based libraries can be used to gather data using custom feedback forms and embedded data gathering tools. Once data has been gathered, this book explores the process of working with numerical data, text analysis, visualization approaches, statistics, and rolling out developed applications to both data analysts and users alike.Using the collected data, this book aims to provide a deeper understanding of user behavior and interests, allowing application developers to further enhance web-application development. Key Features: Complete real-world examples of gathering data from users and web environments Offers readers the fundamentals of text analysis using JavaScript and PHP Allows the user to understand and harness JavaScript data-visualization tools Integration of new and existing data sources into a single, bespoke web-based analysis environment

Cover -- Half Title -- Title Page -- Copyright Page -- Dedication -- Contents -- Preface -- Authors -- Acknowledgments -- List of Figures -- List of Tables -- Chapter 1: Introduction -- 1.1. INTRODUCTION -- 1.2. WHO THIS BOOK IS AIMED AT -- 1.3. TECHNOLOGIES USED -- 1.4. VARIATIONS OF DATA -- 1.4.1. Active Data -- 1.4.2. Passive Data -- 1.5. WHAT YOU NEED -- 1.6. DEVELOPMENT ENVIRONMENT -- 1.7. CODE EXAMPLES -- 1.8. BOOK OUTLINE -- 1.9. SUMMARY -- Chapter 2: Active Data Collection -- 2.1. INTRODUCTION -- 2.2. BINARY DATA COLLECTION -- 2.3. TEXT-BASED DATA COLLECTION -- 2.4. STAR RATINGS -- 2.5. CUSTOM RESPONSE FORM -- 2.6. SUMMARY -- Chapter 3: Passive Data Collection -- 3.1. INTRODUCTION -- 3.2. COOKIES AND SESSIONS -- 3.3. READING FROM FILES -- 3.4. USER IP ADDRESS -- 3.5. FINDING THE USER AGENT -- 3.6. USER GEOGRAPHIC LOCATION -- 3.7. TIME SPENT ON PAGES -- 3.8. TRACKING INDIVIDUAL DIV TAGS -- 3.9. LOGGING TIMES -- 3.10. WHERE A USER CAME FROM -- 3.11. SOCIAL MEDIA CONTENT HARVESTING -- 3.12. SUMMARY -- Chapter 4: Custom Dashboards -- 4.1. INTRODUCTION -- 4.2. USER LOGIN -- 4.3. USER REGISTRATION -- 4.4. MULTI-COLUMN BAR CHART -- 4.5. BINARY BAR CHART -- 4.6. DYNAMIC DASHBOARD …