Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and informed decision...Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and informed decision-making across diverse domains. Conversely, Python is indispensable for professional programming due to its versatility, readability, extensive libraries, and robust community support. It enables efficient development, advanced data analysis, data mining, and automation, catering to diverse industries and applications. However, one primary issue when using Microsoft Excel with Python libraries is compatibility and interoperability. While Excel is a widely used tool for data storage and analysis, it may not seamlessly integrate with Python libraries, leading to challenges in reading and writing data, especially in complex or large datasets. Additionally, manipulating Excel files with Python may not always preserve formatting or formulas accurately, potentially affecting data integrity. Moreover, dependency on Excel’s graphical user interface (GUI) for automation can limit scalability and reproducibility compared to Python’s scripting capabilities. This paper covers the integration solution of empowering non-programmers to leverage Python’s capabilities within the familiar Excel environment. This enables users to perform advanced data analysis and automation tasks without requiring extensive programming knowledge. Based on Soliciting feedback from non-programmers who have tested the integration solution, the case study shows how the solution evaluates the ease of implementation, performance, and compatibility of Python with Excel versions.展开更多
Net Meta XL是一款基于贝叶斯理论研发的在Microsot Excel框架下执行网状Meta分析的宏。该宏于2014年正式推出,将数据提取与输入、结果输出和图形绘制集于一体。当前,该宏可供选择的模型丰富,所有操作均为菜单式且操作简单,但其仅适用...Net Meta XL是一款基于贝叶斯理论研发的在Microsot Excel框架下执行网状Meta分析的宏。该宏于2014年正式推出,将数据提取与输入、结果输出和图形绘制集于一体。当前,该宏可供选择的模型丰富,所有操作均为菜单式且操作简单,但其仅适用于二分类数据的网状Meta分析,仍有较大提升空间和需要完善之处。本文通过实例介绍应用Net Meta XL宏实现网状Meta分析的方法。展开更多
Microsoft Excel软件是一种图表功能强大的计算机数据处理软件。应用Excel程序处理物理化学实验数据可使原本复杂的数据处理过程变得简单、快捷,同时还可避免因手工绘图而引入的误差,提高实验结果的准确度和精确度。本文通过介绍几个典...Microsoft Excel软件是一种图表功能强大的计算机数据处理软件。应用Excel程序处理物理化学实验数据可使原本复杂的数据处理过程变得简单、快捷,同时还可避免因手工绘图而引入的误差,提高实验结果的准确度和精确度。本文通过介绍几个典型的物理化学实验数据处理过程来说明如何利用Excel软件快速地处理物理化学实验数据。展开更多
文摘Microsoft Excel is essential for the End-User Approach (EUA), offering versatility in data organization, analysis, and visualization, as well as widespread accessibility. It fosters collaboration and informed decision-making across diverse domains. Conversely, Python is indispensable for professional programming due to its versatility, readability, extensive libraries, and robust community support. It enables efficient development, advanced data analysis, data mining, and automation, catering to diverse industries and applications. However, one primary issue when using Microsoft Excel with Python libraries is compatibility and interoperability. While Excel is a widely used tool for data storage and analysis, it may not seamlessly integrate with Python libraries, leading to challenges in reading and writing data, especially in complex or large datasets. Additionally, manipulating Excel files with Python may not always preserve formatting or formulas accurately, potentially affecting data integrity. Moreover, dependency on Excel’s graphical user interface (GUI) for automation can limit scalability and reproducibility compared to Python’s scripting capabilities. This paper covers the integration solution of empowering non-programmers to leverage Python’s capabilities within the familiar Excel environment. This enables users to perform advanced data analysis and automation tasks without requiring extensive programming knowledge. Based on Soliciting feedback from non-programmers who have tested the integration solution, the case study shows how the solution evaluates the ease of implementation, performance, and compatibility of Python with Excel versions.
文摘Net Meta XL是一款基于贝叶斯理论研发的在Microsot Excel框架下执行网状Meta分析的宏。该宏于2014年正式推出,将数据提取与输入、结果输出和图形绘制集于一体。当前,该宏可供选择的模型丰富,所有操作均为菜单式且操作简单,但其仅适用于二分类数据的网状Meta分析,仍有较大提升空间和需要完善之处。本文通过实例介绍应用Net Meta XL宏实现网状Meta分析的方法。
