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Acronyms that contain the term data analysis
Page #4What 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 |
---|---|---|
MEAD | Maintenance Engineering Analysis Data | |
DELTA | Data Extraction and Longitudinal Trend Analysis | |
MADCAP | Milk Analysis Data Collection And Processing | |
DSAD | Data Systems and Analysis Directorate | |
PDARS | Performance Data Analysis and Reporting System | |
DAAC | Data Analysis and Assessment Center | |
HPDA | High Performance Data Analysis | |
SEDA | Social and Economic Data Analysis | |
ADASS | Astronomical Data Analysis Software and Systems | |
RAFD | Remote Analysis of Federated Data | |
ADASS | Astronomical Data Analysis Software and Systems | |
ADPAA | Airborne Data Processing and Analysis | |
DMAV | Data management analysis and visualisation | |
EDAC | Earth Data Analysis Center | |
DRAC | SOI (Solar Oscillations Investigation)/ MDI (Michelson Doppler Imager) Data Reduction and Analysis Center | |
ADAS | ARPS Data Analysis System | |
ISDA | Irregularly-Spaced Data Analysis | |
MDAP | Mars Data Analysis Program | |
MDAG | Measurement and Data Analysis Group | |
PDAR | Patient Data Analysis Report | |
CDAO | Comparative Data Analysis | |
ISDA | Image Spatial Data Analysis | |
DEAM | Data for Environmental Analysis and Management | |
PADI | Poverty Analysis and Data Initiative | |
DEAM | Data for Environmental Analysis and Management |
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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