Applied User Data Collection and Analysis Using JavaScript and PHP

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Applied User Data Collection and Analysis Using JavaScript and PHP
 

  • Author:Kyle GoslinMarkus Hofmann
  • Length: 346 pages
  • Edition: 1
  • Publisher: Chapman and Hall/CRC
  • Publication Date: 2021-04-28
  • ISBN-10: 036775682X
  • ISBN-13: 9780367756826
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  • Buy Print:Buy from amazon


    Book Description

    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

    中文:

    书名:Applied User Data Collection and Analysis Using JavaScript and PHP

    基于Java脚本和PHP的应用用户数据采集与分析它旨在提供以主动和被动方法从Web应用程序收集广泛用户数据的技术技能和能力。这是通过向读者提供真实世界的示例来实现的,这些示例说明了如何使用各种不同的基于JavaScript和PHP的库来使用自定义反馈表单和嵌入式数据收集工具来收集数据。

    一旦收集到数据,本书将探索如何使用数字数据、文本分析、可视化方法、统计以及向数据分析师和用户推出已开发的应用程序的过程。

    使用收集的数据,这本书的目的是提供对用户行为和兴趣的更深层次的理解,使应用程序开发人员能够进一步加强Web应用程序的开发。

    主要特点:

    • 从用户和Web环境中收集数据的完整真实示例
    • 为读者提供使用JavaScript和PHP进行文本分析的基础知识
    • 允许用户理解和利用Java数据可视化工具
    • 将新的和现有的数据源集成到单个定制的基于Web的分析环境中
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