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You're reading from  Modern Data Architectures with Python

Product typeBook
Published inSep 2023
Reading LevelExpert
PublisherPackt
ISBN-139781801070492
Edition1st Edition
Languages
Python
Concepts
Data Science
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Author (1)
Brian Lipp
Brian Lipp
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Brian Lipp

Brian Lipp is a Technology Polyglot, Engineer, and Solution Architect with a wide skillset in many technology domains. His programming background has ranged from R, Python, and Scala, to Go and Rust development. He has worked on Big Data systems, Data Lakes, data warehouses, and backend software engineering. Brian earned a Master of Science, CSIS from Pace University in 2009. He is currently a Sr. Data Engineer working with large Tech firms to build Data Ecosystems.
Read more about Brian Lipp

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Principles of data visualization

Data is present everywhere. It’s in every aspect of our lives, and one of the most profound methods of understanding that data is through our visual senses. We can better summarize, explain, and predict our data using charts and dashboards. However, before we go through some possible ways to create data visualizations, we will delve into some background knowledge on data visualization.

Understanding your user

When creating data visualizations, it’s essential to understand how they will be used. Understanding who’s using your data visualization is one of the most fundamental requirements. What is their purpose for your data visualization? Is this for strategic decision-making, or is it used for operational usage? Are you making an analytical data visualization? Understanding that a dashboard is used for critical decisions or a site reliability engineer’s operational dashboard will allow you to focus on accomplishing...

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Modern Data Architectures with Python
Published in: Sep 2023Publisher: PacktISBN-13: 9781801070492
© 2023 Packt Publishing Limited All Rights Reserved

Author (1)

author image
Brian Lipp

Brian Lipp is a Technology Polyglot, Engineer, and Solution Architect with a wide skillset in many technology domains. His programming background has ranged from R, Python, and Scala, to Go and Rust development. He has worked on Big Data systems, Data Lakes, data warehouses, and backend software engineering. Brian earned a Master of Science, CSIS from Pace University in 2009. He is currently a Sr. Data Engineer working with large Tech firms to build Data Ecosystems.
Read more about Brian Lipp

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