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Data Analytics Made Easy

You're reading from   Data Analytics Made Easy Analyze and present data to make informed decisions without writing any code

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Product type Paperback
Published in Aug 2021
Publisher Packt
ISBN-13 9781801074155
Length 406 pages
Edition 1st Edition
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Author (1):
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Andrea De Mauro Andrea De Mauro
Author Profile Icon Andrea De Mauro
Andrea De Mauro
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Toc

Table of Contents (14) Chapters Close

Preface 1. What is Data Analytics? 2. Getting Started with KNIME FREE CHAPTER 3. Transforming Data 4. What is Machine Learning? 5. Applying Machine Learning at Work 6. Getting Started with Power BI 7. Visualizing Data Effectively 8. Telling Stories with Data 9. Extending Your Toolbox 10. And now?
11. Useful Resources 12. Other Books You May Enjoy
13. Index

Combining tables

Data models show us how data points within separate tables are logically connected with each other. In the practice of data analytics, we often need to combine data together by leveraging the logic relationships which the data model describes. The most common operation for combining two tables into a third one is called Join. By combining two tables together, we cross-enrich them as we merge all the information we have on a specific event or entity. The join operation will take the two tables and match the rows that have the same values in the columns we specify (Matching Columns). Let's imagine we have the following two tables, which refer to sales transactions and to the product master data:

Sales

Product

Date

Amount

Gibson Explorer B-2

21-Dec

1040

...
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