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Stream/Area:
-
Subject:
-
Paper ID:
10.55041/IJSREM24626
Volume:
7 |
7 |
Jul 2023
Pages:
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Drug use is a complicated and widespread problem that has an impact on people and communities all around the world. It is essential to examine drug use patterns, spot high-risk locations, and comprehend the implications for social welfare and public health in order to successfully manage this societal dilemma. This study intends to provide a thorough examination of drug usage data in a particular city, using a variety of analytical tools to produce significant findings. The study makes use of a broad dataset that includes social indicators, criminal justice records, demographic data, and occurrences involving drugs. To guarantee data quality and consistency, the dataset is put through rigorous data preprocessing, cleansing, and integration processes. To locate a target, descriptive statistics, data visualization, and sophisticated analytics methods like clustering and predictive modeling are used.
KEYWORDS
Publication Date
7/14/2023
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
Funding Information
No funding information available for this research.
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