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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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Data visualization using notebooks

Here, we will discuss the main types of visualization charts and give examples for each, using plotly.express and the Databricks notebook GUI.

Line charts

Line charts are used with varying data points that move over an endless plain. A perfect example of data on a continuous plain is time-series data. One thing to consider with line charts is that it’s best to show small changes over a more extended period.

Bar charts

Bar charts help compare significant changes and show differences between groups of data. A key detail to remember is that bar charts are not used for contiguous data and typically represent categorical data.

Histograms

Histograms can be thought of as bar charts for continuous data. Histograms are often used with frequency over, for example, sales data.

Scatter plots

Scatter plots are essential charts showing relationships between two datasets and the correlation between data.

Pie charts

Pie charts...

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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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