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You're reading from  Data Storytelling with Google Looker Studio

Product typeBook
Published inOct 2022
PublisherPackt
ISBN-139781800568761
Edition1st Edition
Tools
Google Data Studio
Concepts
Business Intelligence
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Author (1)
Sireesha Pulipati
Sireesha Pulipati
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Sireesha Pulipati

Sireesha Pulipati is an experienced data analytics and data management professional. She has spent the last decade building and managing data platforms and solutions, and is passionate about enabling users to leverage data to solve business problems. Sireesha holds a master's degree in Business Administration and a bachelor's degree in Electrical Engineering. Her work history spans multiple industries – healthcare, media, travel & hospitality, high-tech, and more. She is currently at Google as an analytics lead, helping with analytics strategy to support Search Knowledge Graph. Outside of work, Sireesha enjoys hiking and reading books. She currently resides in the Bay Area.
Read more about Sireesha Pulipati

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Blending data

Data blending is the process of combining data from multiple data sources. The resultant resource is called a blend. Blends are useful in two primary ways:

  • To bring additional information into your visualizations and controls from disparate data sources
  • To perform reaggregations, that is, aggregating an already aggregated metric such as calculating the average of averages or the maximum of distinct counts

Often, you may want to analyze data that resides in multiple underlying datasets together. While you can easily visualize this data in separate charts powered by the respective data sources in the report, the challenge is when you want to represent information from these different data sources together in a single component. Blends come to the rescue in such scenarios. Blends incorporate fields from constituent data sources, called tables, and can serve as a source for charts and controls. Through blending, Looker Studio makes it easy for you to combine...

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Data Storytelling with Google Looker Studio
Published in: Oct 2022Publisher: PacktISBN-13: 9781800568761
© 2022 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Sireesha Pulipati

Sireesha Pulipati is an experienced data analytics and data management professional. She has spent the last decade building and managing data platforms and solutions, and is passionate about enabling users to leverage data to solve business problems. Sireesha holds a master's degree in Business Administration and a bachelor's degree in Electrical Engineering. Her work history spans multiple industries – healthcare, media, travel & hospitality, high-tech, and more. She is currently at Google as an analytics lead, helping with analytics strategy to support Search Knowledge Graph. Outside of work, Sireesha enjoys hiking and reading books. She currently resides in the Bay Area.
Read more about Sireesha Pulipati

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