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Acronyms that contain the term data analysis
Page #5What does data analysis mean? This page is about the various possible meanings of the acronym, abbreviation, shorthand or slang term: data analysis.
Term | Definition | Rating |
---|---|---|
DEAM | Data for Environmental Analysis and Management | |
EDAS | Educational Data Analysis System | |
ODARE | Office of Data Analysis Research and Evaluation | |
RDA | Research and Data Analysis | |
DAS | Data Analysis System | |
AADA | Advances in Adaptive Data Analysis | |
AFDA | Algebra Functions and Data Analysis | |
SAFD | Statistical Analysis of Fatigue Data | |
TDADS | Test Data Analysis and Decision System | |
NIDAS | Naval Interactive Data Analysis System | |
TGDA | Topology Geometry and Data Analysis | |
DATA | Data Analysis and Technical Assistance | |
WGDA | Working Group on Data Analysis | |
UDAL | Undergraduate Data Analysis Lab | |
UDAT | Universal Data Analysis of Text | |
DIAS | Data Integration and Analysis System | |
GDEA | Generalized Data Envelopment Analysis | |
MIDAC | Market Intelligence Data Analysis Corporation | |
IDASS | Intelligence Data Analysis System for Spacecraft | |
DDSA | Data Driven Safety Analysis | |
SDAR | Secondary Data Analysis Research | |
SODAS | Symbolic Official Data Analysis System | |
MADAS | MIRnet Administrative Data Analysis System | |
MADAS | Marine Accident Data Analysis Suite | |
STDA | Simple Tools for Data Analysis |
What does data analysis mean?
- Data analysis
- Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively.Data mining is a particular data analysis technique that focuses on statistical modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on the application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.Data integration is a precursor to data analysis, and data analysis is closely linked to data visualization and data dissemination.
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"data analysis." Abbreviations.com. STANDS4 LLC, 2024. Web. 29 Apr. 2024. <https://www.abbreviations.com/data%20analysis>.
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