Exploring the Frontiers of Data Analysis: A Comprehensive Review

INOSR APPLIED SCIENCES Pub Date : 2024-07-07 DOI:10.59298/inosras/2024/12.1.62680

Alum, Benedict Nnachi, Echegu Darlington Arinze, Aleke Jude Uchechukwu

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Abstract

The process of assessing, cleansing, transforming, and interpreting data to find trends, patterns, or insights that might guide choices and help manage problems is known as data analysis. Data analysis is a leading light on the cutting edge of contemporary research, revealing the path of knowledge across many areas. It includes the methodical examination of data to find trends, patterns, and insights that are helpful for the analytical and creative processes. This review also examines how data analysis is developing, emphasizing new approaches, paradigms, viewpoints, and graphical data displays. In addition to the significant improvements brought about by artificial intelligence, deep learning, and machine learning, it emphasizes statistical inference, exploratory data analysis, and data pretreatment. One of the main ideas behind this review was to use a systematic literature review approach along with meta-analysis techniques to look for new developments and trends in how data is analyzed in a lot of different areas. The article also addresses how data visualization could improve comprehension and dissemination of the results. In promoting responsible data use and legal rules, it also looks at how analytics affects society, the law, and ethical issues. The evaluation underscores the diverse disciplines that employ data analysis, underscoring the need for interdisciplinary coherence and comprehensible algorithms. Finally, this thorough research offers recommendations for analyzing and determining the boundaries of data analysis, in addition to offering insightful viewpoints and opinions that are helpful for academics, professionals, and decision-makers. If we just stay up to speed with the latest advancements and strive to be more, we can utilize data analysis to its fullest potential for complicated problems and positively impact society. Keywords: Data mining, big data analytics, machine learning, algorithms, and data analysis and statistics

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探索数据分析的前沿：全面回顾

评估、清理、转换和解释数据，以发现趋势、模式或见解，从而指导选择并帮助管理问题，这一过程被称为数据分析。数据分析是当代研究前沿的一盏明灯，揭示了许多领域的知识路径。它包括有条不紊地检查数据，以发现有助于分析和创造过程的趋势、模式和见解。本综述还探讨了数据分析的发展过程，强调了新的方法、范式、观点和图形数据显示。除了人工智能、深度学习和机器学习带来的重大改进之外，它还强调了统计推断、探索性数据分析和数据预处理。这篇综述背后的一个主要想法是使用系统的文献综述方法和荟萃分析技术来寻找许多不同领域数据分析方式的新发展和趋势。文章还论述了数据可视化如何提高对结果的理解和传播。在促进负责任的数据使用和法律规则方面，文章还探讨了分析如何影响社会、法律和道德问题。评估强调了采用数据分析的不同学科，强调了跨学科一致性和可理解算法的必要性。最后，这项详尽的研究为分析和确定数据分析的界限提供了建议，此外还提出了对学术界、专业人士和决策者有帮助的深刻观点和意见。只要我们与时俱进，不断进取，就能充分发挥数据分析的潜力，解决复杂问题，对社会产生积极影响。关键词数据挖掘、大数据分析、机器学习、算法以及数据分析和统计

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INOSR APPLIED SCIENCES

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