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Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [ 1] Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science ...
Analytics. Analytics is the systematic computational analysis of data or statistics. [ 1] It is used for the discovery, interpretation, and communication of meaningful patterns in data, which also falls under and directly relates to the umbrella term, data science. [ 2] Analytics also entails applying data patterns toward effective decision-making.
Data science is an interdisciplinary field [ 10] focused on extracting knowledge from typically large data sets and applying the knowledge and insights from that data to solve problems in a wide range of application domains. The field encompasses preparing data for analysis, formulating data science problems, analyzing data, developing data ...
e. In statistics, exploratory data analysis (EDA) is an approach of analyzing data sets to summarize their main characteristics, often using statistical graphics and other data visualization methods. A statistical model can be used or not, but primarily EDA is for seeing what the data can tell us beyond the formal modeling and thereby contrasts ...
Big data analysis is often shallow compared to analysis of smaller data sets. [229] In many big data projects, there is no large data analysis happening, but the challenge is the extract, transform, load part of data pre-processing. [229]
Web analytics is the measurement, collection, analysis, and reporting of web data to understand and optimize web usage. [ 1] Web analytics is not just a process for measuring web traffic but can be used as a tool for business and market research and assess and improve website effectiveness.
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