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You're reading from  Data Storytelling with Google Looker Studio

Product typeBook
Published inOct 2022
PublisherPackt
ISBN-139781800568761
Edition1st Edition
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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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Configuring tables and pivot tables

Tables are the most basic form of representing data. They provide flexibility to display any number of data fields together. A table chart is best suited when you want to show the most granular data, a large number of fields, or multiple metrics with very different units and scales aggregated for one or more dimension fields. Table and pivot table charts in Looker Studio allow you to display metrics in three ways:

  • Numbers
  • Bars
  • Heatmap

In this section, you will create a few tables and pivot tables using the Call Center data source and explore various configuration settings.

Table with numbers

The Call Center data source includes details of the calls made by customers from various states of the United States of America. Let’s add a table chart to the report to display multiple metrics for each state, as shown in the following screenshot:

Figure 6.2 – Table chart to visualize detailed...

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Data Storytelling with Google Looker Studio
Published in: Oct 2022Publisher: PacktISBN-13: 9781800568761

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