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SPSS is a widely used program for statistical analysis in social science. [7] It is also used by market researchers, health researchers, survey companies, government, education researchers, industries, marketing organizations, data miners, [8] and others.
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. [4]
i2 Analyst's Notebook is a software product from i2 Group for data analysis. Based on ELP (entity-link-property) methodology, it reveals relationships between data entities to discover patterns and provide insight into data. It is commonly used by digital analysts at law enforcement, military and other government intelligence agencies, and by ...
Data analysis typically involves working with smaller, structured datasets to answer specific questions or solve specific problems. This can involve tasks such as data cleaning, data visualization, and exploratory data analysis to gain insights into the data and develop hypotheses about relationships between variables. Data analysts typically ...
The software can be operated via an AJAX-based web interface which is suitable for both real-time troubleshooting and data exchange with non-technical staff via maps (dashboards) and user-defined reports. [7] An additional administration interface in the form of a desktop application for Windows, Linux, and macOS is available. [8] [9] [10]
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This software can process quantitative data sets from TripleTOF or QTRAP systems, including MRM and SWATH Acquisition. OpenMS / TOPP Open source: The software C++ library for LC-MS/MS data management and analysis offers an infrastructure for the development of mass spectrometry-related software.
Computer-assisted (or aided) qualitative data analysis software (CAQDAS) offers tools that assist with qualitative research such as transcription analysis, coding and text interpretation, recursive abstraction, content analysis, discourse analysis, [1] grounded theory methodology, etc.