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Data Visualization on Crime Against Women
Author(s) -
Jaya Mohan,
Usha Divakarla,
Theodoros Evgeniou,
Massimiliano
Publication year - 2019
Publication title -
international journal of recent technology and engineering (ijrte)
Language(s) - English
Resource type - Journals
ISSN - 2277-3878
DOI - 10.35940/ijrte.b1014.0782s419
Subject(s) - visualization , computer science , data visualization , field (mathematics) , data science , safeguard , information visualization , task (project management) , variance (accounting) , computer security , data mining , engineering , systems engineering , business , political science , pure mathematics , mathematics , accounting , law
Visualization ensures the modern expectation of all forms of data. It is important to understand the data and its statistical variance graphically. Visualization on crime data would be supportive to analyze and prevent the threats in society. According to recent surveys and records, India has undergone many crime issues which occur on women. In order to prevent and analyze the crime issues against women, Data visualization is a useful approach to deal with it. The current data technologies available are appropriate to accomplish the task of visualization for women safety. Efficient visualization with effective machine learning algorithm and its performance finds the response for data related requests in the field of data science. This paper clarifies the details of crime against women through a graphical approach and illustrates about how to notify the unsafe levels by alert to safeguard the women

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