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Data Analysis and Visualization Using Python : Analyze Data to Create Visualizations for BI Systems / Ossama Embarak
Apress, 2018
394 p. : illustration ; 25 cm.
Ký hiệu phân loại (DDC): 006
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.
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3
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Data analysis for network cyber-security / Niall M. Adams, Nicholas Heard (editor)
London, UK : Imperial College Press, 2014
ix, 189 pages. ; 25 cm.
Ký hiệu phân loại (DDC): 005.8
There is increasing pressure to protect computer networks against unauthorized intrusion, and some work in this area is concerned with engineering systems that are robust to attack. However, no system can be made invulnerable. Data Analysis for Network Cyber-Security focuses on monitoring and analyzing network traffic data, with the intention of preventing, or quickly identifying, malicious activity. Such work involves the intersection of statistics, data mining and computer science. Fundamentally, network traffic is relational, embodying a link between devices. As such, graph analysis approaches are a natural candidate. However, such methods do not scale well to the demands of real problems, and the critical aspect of the timing of communications events is not accounted for in these approaches. This book gathers papers from leading researchers to provide both background to the problems and a description of cutting-edge methodology. The contributors are from diverse institutions and areas of expertise and were brought together at a workshop held at the University of Bristol in March 2013 to address the issues of network cyber security. The workshop was supported by the Heilbronn Institute for Mathematical Research
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4
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Hands-On Data Analysis with Pandas : A Python data science handbook for data collection, wrangling, analysis, and visualization / Stefanie Molin
UK : Packt, 2021
788 p. : illustration ; 25 cm.
Ký hiệu phân loại (DDC): 006
Using real-world datasets, you will learn how to use the pandas library to perform data wrangling to reshape, clean, and aggregate your data. Then, you will learn how to conduct exploratory data analysis by calculating summary statistics and visualizing the data to find patterns. In the concluding chapters, you will explore some applications of anomaly detection, regression, clustering, and classification using scikit-learn to make predictions based on past data.
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