
Collect, Combine, and Transform Data Using Power Query in Excel and Power BI
Description
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Prepare and analyze your data the easy way, with Power Query
? Quickly prepare data for analysis with Power Query in Excel (also known as Get & Transform) and in Power BI
? Solve common data preparation problems with a few mouse clicks and simple formula edits
? Combine data from multiple sources, multiple queries, and mismatched tables
? Master basic and advanced techniques for unpivoting tables
? Customize transformations and build flexible data mashups with the M formula language
? Address collaboration challenges with Power Query
? Gain crucial insights into text feeds
? Streamline complex social network analytics so you can do it yourself
For all information workers, analysts, and any Excel user who wants to solve their own business intelligence problems.
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Person
With 20 years of software development experience, and four U.S. patents in the fi elds of social networks, cyber security, and analytics, Gil has held a variety of innovative roles in cyber security and data analytics, and he has delivered a wide range of software products, from advanced threat detection enterprise systems to protection of kids on Facebook.
In his blog, DataChant.com, Gil has been chanting about Power BI and Power Query since he moved to his new home in the Chicago area in early 2016. As a Group Manager in Avanade's Analytics Practice, Gil is helping Fortune 500 clients create modern self-service analytics capability and solutions by leveraging Power BI and Azure.
Content
Chapter 1: Introduction to Power Query
Chapter 2: Basic Data Challenges
Chapter 3: Combining Data from Multiple Sources
Chapter 4: Unpivoting and Transforming Data
Chapter 5: Pivoting & Handling Multiline Records
Section 2: Exploring Data
Chapter 6: Ad-Hoc Analysis
Chapter 7: Using Query Editor to Further Explore Data
Section 3: Scaling Up Queries for Production or Larger Data Sets
Chapter 8: Introduction to the M Query Language
Chapter 9: Lightweight modification of M formulas to improve query robustness
Section 4: Real Life Challenges
Chapter 10: Solving Real-Life Data Challenges
Chapter 11: Social Listening
Chapter 12: Text Analytics
Chapter 13: Concluding Exercise - Hawaii Tourism Data
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File format: ePUB
Copy protection: Watermark-DRM (Digital Rights Management)
System requirements:
- Computer (Windows; MacOS X; Linux): Use a reading software that can process the file format ePUB: e.g., Adobe Digital Editions or FBReader – both free (see eBook Help).
- Tablet/Smartphone (Android; iOS): Before downloading, install the free app Adobe Digital Editions (see eBook Help).
- E-reader: Bookeen, Kobo, Pocketbook, Sony, Tolino and many more (not Kindle).
The file format ePUB works well for novels and non-fiction books – i.e., „flowing” text without complex layout. On an e-reader or smartphone, line and page breaks automatically adjust to fit the small displays.
This eBook uses Watermark-DRM, a „soft” copy protection. This means that there are no technical restrictions to prevent illegal distribution. However, there is a personalised watermark embedded in the eBook that can be used to identify the purchaser of the eBook in the event of misuse and to provide evidence for legal purposes.
For more information, see our eBook Help page.