掌握DAX公式:Excel数据分析超级提升

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"超级充电Excel:当你学会为Power Pivot编写DAX" 在数据分析领域,Excel的扩展功能Power Pivot凭借其强大的商业智能(BI)能力,极大地提升了数据处理与分析的效率。而DAX(数据分析表达式)是Power Pivot的核心公式语言,它为Excel用户提供了更高级的数据建模和计算能力。学习DAX对于充分利用Power Pivot的功能至关重要。 《Supercharge Excel: When You Learn to Write DAX for Power Pivot》这本书由Matt Allington撰写,旨在深入浅出地解释Power Pivot的概念,并通过实践操作帮助读者巩固新知识。作者旨在让读者理解DAX语言的基础和高级概念,从而提高Excel的数据分析能力。 本书涵盖了DAX的基础语法,包括创建计算列、度量值、时间智能函数以及过滤和聚合等操作。DAX允许用户自定义计算,比如计算平均值、总和、计数,甚至执行更复杂的业务逻辑,如预测、趋势分析和假设情景分析。书中可能还涉及如何利用Power Pivot的数据模型来整合多个数据源,构建关系,并进行多维数据分析。 此外,书中提供的实例和练习将帮助读者在实践中掌握DAX。这不仅可以增强对DAX的理解,还能提升解决实际问题的能力。书中的案例可能涵盖销售分析、财务报告、客户行为分析等多种场景,这些实践性的练习有助于将理论知识转化为实际技能。 DAX的掌握对于Excel用户来说是一次飞跃,它能够使数据分析师、业务分析师以及任何需要处理大量数据的人员在Excel环境中实现更高效、更深入的数据洞察。通过学习DAX,用户可以构建自定义的报表和仪表板,为决策提供数据支持,提升工作效率。 《Supercharge Excel: When You Learn to Write DAX for Power Pivot》是一本面向Excel进阶用户的实用指南,它将帮助读者掌握DAX,从而解锁Power Pivot的全部潜力,提升数据分析的专业水平。无论你是企业中的数据分析师还是个人用户,这本书都将是你提升Excel技能的重要工具。
2017-04-26 上传
Analyzing Data with Power BI and Power Pivot for Excel (Business Skills) by Alberto Ferrari English | 25 Apr. 2017 | ASIN: B0713N6BBW | 256 Pages | AZW3 | 21.78 MB Renowned DAX experts Alberto Ferrari and Marco Russo teach you how to design data models for maximum efficiency and effectiveness. How can you use Excel and Power BI to gain real insights into your information? As you examine your data, how do you write a formula that provides the numbers you need? The answers to both of these questions lie with the data model. This book introduces the basic techniques for shaping data models in Excel and Power BI. It’s meant for readers who are new to data modeling as well as for experienced data modelers looking for tips from the experts. If you want to use Power BI or Excel to analyze data, the many real-world examples in this book will help you look at your reports in a different way–like experienced data modelers do. As you’ll soon see, with the right data model, the correct answer is always a simple one! By reading this book, you will: • Gain an understanding of the basics of data modeling, including tables, relationships, and keys • Familiarize yourself with star schemas, snowflakes, and common modeling techniques • Learn the importance of granularity • Discover how to use multiple fact tables, like sales and purchases, in a complex data model • Manage calendar-related calculations by using date tables • Track historical attributes, like previous addresses of customers or manager assignments • Use snapshots to compute quantity on hand • Work with multiple currencies in the most efficient way • Analyze events that have durations, including overlapping durations • Learn what data model you need to answer your specific business questions About This Book • For Excel and Power BI users who want to exploit the full power of their favorite tools • For BI professionals seeking new ideas for modeling data