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Analysis of Crime Report by Data Analytics Using Python

Analysis of Crime Report by Data Analytics Using Python

G. Maria Jones, S. Godfrey Winster
Copyright: © 2021 |Pages: 26
ISBN13: 9781799825661|ISBN10: 1799825663|ISBN13 Softcover: 9781799825678|EISBN13: 9781799825685
DOI: 10.4018/978-1-7998-2566-1.ch003
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MLA

Jones, G. Maria, and S. Godfrey Winster. "Analysis of Crime Report by Data Analytics Using Python." Challenges and Applications of Data Analytics in Social Perspectives, edited by V. Sathiyamoorthi and Atilla Elci, IGI Global, 2021, pp. 54-79. https://doi.org/10.4018/978-1-7998-2566-1.ch003

APA

Jones, G. M. & Winster, S. G. (2021). Analysis of Crime Report by Data Analytics Using Python. In V. Sathiyamoorthi & A. Elci (Eds.), Challenges and Applications of Data Analytics in Social Perspectives (pp. 54-79). IGI Global. https://doi.org/10.4018/978-1-7998-2566-1.ch003

Chicago

Jones, G. Maria, and S. Godfrey Winster. "Analysis of Crime Report by Data Analytics Using Python." In Challenges and Applications of Data Analytics in Social Perspectives, edited by V. Sathiyamoorthi and Atilla Elci, 54-79. Hershey, PA: IGI Global, 2021. https://doi.org/10.4018/978-1-7998-2566-1.ch003

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Abstract

The ever-rapid development of technology in today's world tends to provide us with a dramatic explosion of data, leading to its accumulation and thus data computation has amplified in comparison to the recent past. To manage such complex data, emerging new technologies are enabled specially to identify crime patterns, as crime-related data is escalating. These digital technologies have the potential to manipulate and also alter the pattern. To combat this, machine learning techniques are introduced which have the ability to analyse such voluminous data. In this work, the authors intend to understand and implement machine learning techniques in real time data analysis by means of Python. The detailed explanation in preparing the dataset, understanding, visualizing the data using pandas, and performance measure of algorithm is evaluated.

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