Overview
- Features a detailed business case on effective strategies on data visualization
- Covers abstraction of the Series and DataFrames
- Includes a business case study in the concluding chapter of the book
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Table of contents (8 chapters)
Keywords
About this book
Shifting focus to data structures, you will learn the various aspects of data structures from a data science perspective. You will then work with file I/O and regular expressions in Python, followed by gathering and cleaning data. Moving on to exploring and analyzing data, you will look at advanced data structures in Python. Then, you will take a deep dive into data visualization techniques, going through a number of plotting systems in Python.
In conclusion, you will complete a detailed case study, where you’ll get a chance to revisit the concepts you’ve covered so far.
What You Will Learn
- Use Python programming techniques for data science
- Master data collections in Python
- Create engaging visualizations for BI systems
- Deploy effective strategies for gathering and cleaning data
- Integrate the Seaborn and Matplotlib plotting systems
Who This Book Is For
Developers with basic Python programming knowledge looking to adopt key strategies for data analysis and visualizations using Python.
Authors and Affiliations
About the author
He has participated in many scholarly activities as a reviewer for journals in the field of computer and information sciences, artificial intelligence, mobile and web technologies. He has published numerous papers in datamining and knowledge discovery, and was also involved as a co-chair for the Technical Program Committee (TPC) for various regional and international conferences.
Bibliographic Information
Book Title: Data Analysis and Visualization Using Python
Book Subtitle: Analyze Data to Create Visualizations for BI Systems
Authors: Dr. Ossama Embarak
DOI: https://doi.org/10.1007/978-1-4842-4109-7
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Dr. Ossama Embarak 2018
Softcover ISBN: 978-1-4842-4108-0Published: 20 November 2018
eBook ISBN: 978-1-4842-4109-7Published: 20 November 2018
Edition Number: 1
Number of Pages: XX, 374
Number of Illustrations: 267 b/w illustrations
Topics: Python, Open Source, Big Data
Industry Sectors: Biotechnology, Chemical Manufacturing, Electronics, Finance, Business & Banking, IT & Software, Oil, Gas & Geosciences, Telecommunications