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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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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

Aggregating values

The information contained in a raw data table lies dispersed across all its rows. Often, we need to condense a large table into a smaller and more readable one where its values get aggregated or summarized following a given logic. For instance, if we have a table including all orders received in the last year and want to make sense of our sales' evolution over time, we might prefer to calculate a simpler table that shows the total number of orders generated every month. Instead of having a long table with as many rows as orders, we prefer scanning through its aggregation showing only twelve rows, one for each month.

The simpler way of aggregating data is by using a rather popular database operation called Group By: it combines rows in various groups and aggregates their values within each group. To perform a Group By, you will need to decide two things:

  • First, you must declare which columns define a group. All the rows showing the same values in the...
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