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Learning Google BigQuery

You're reading from   Learning Google BigQuery A beginner's guide to mining massive datasets through interactive analysis

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Product type Paperback
Published in Dec 2017
Publisher Packt
ISBN-13 9781787288591
Length 264 pages
Edition 1st Edition
Languages
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Authors (3):
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Eric Brown Eric Brown
Author Profile Icon Eric Brown
Eric Brown
Thirukkumaran Haridass Thirukkumaran Haridass
Author Profile Icon Thirukkumaran Haridass
Thirukkumaran Haridass
Mikhail Berlyant Mikhail Berlyant
Author Profile Icon Mikhail Berlyant
Mikhail Berlyant
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Table of Contents (9) Chapters Close

Preface 1. Google Cloud and Google BigQuery FREE CHAPTER 2. Google Cloud SDK 3. Google BigQuery Data Types 4. BigQuery SQL Basic 5. BigQuery SQL Advanced 6. Google BigQuery API 7. Visualizing BigQuery Data 8. Google Cloud Pub/Sub

Making data visualization work for you

Here are a few tips for making actionable and efficient visualizations:

  • Consider your audience:
    • Keep the decisions made by each of your audience in mind. A paid search analyst will want to look at the differences in ROI for different paid search campaigns, while a social media manager will want to know which posts drove the most visits. If you are unaware of the type of data desired by the end user, set some time to discuss the goals of the project.
  • Choose chart types wisely:
    • Be mindful of scales for line and bar charts.
    • Pie charts and 3D charts should be avoided. In most situations, pie charts can be replaced with bar charts.
  • Show only what is important:
    • As initially stated, visualization's focus is to drive action. Do not confuse the viewer with overkill, either by too many charts or too many elements within a single chart...
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