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Learning Google BigQuery

You're reading from  Learning Google BigQuery

Product type Book
Published in Dec 2017
Publisher Packt
ISBN-13 9781787288591
Pages 264 pages
Edition 1st Edition
Languages
Authors (3):
Thirukkumaran Haridass Thirukkumaran Haridass
Profile icon Thirukkumaran Haridass
Mikhail Berlyant Mikhail Berlyant
Eric Brown Eric Brown
Profile icon Eric Brown
View More author details

Table of Contents (9) Chapters

Preface Google Cloud and Google BigQuery Google Cloud SDK Google BigQuery Data Types BigQuery SQL Basic BigQuery SQL Advanced Google BigQuery API Visualizing BigQuery Data 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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