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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.
MAXQDA is a software program designed for computer-assisted qualitative and mixed methods data, text and multimedia analysis in academic, scientific, and business institutions. It is being developed and distributed by VERBI Software based in Berlin, Germany.
Postman is an Indian-origin [1] [2] global software company that offers an API platform for developers to design, build, test, and collaborate on APIs. [3] Over 30 million registered users and 500,000 organizations are using Postman. [ 4 ]
Revolution Analytics – production-grade software for the enterprise big data analytics; RStudio – GUI interface and development environment for R; ROOT – an open-source C++ system for data storage, processing and analysis, developed by CERN and used to find the Higgs boson; Salstat – menu-driven statistics software
Linux and Windows. Viewer only on macOS. C, C++, Data Parallel C++ and Fortran A collection of design and analysis tools - vectorization (SIMD) optimization, thread prototyping, automated roofline analysis, offload modeling and flow graph analysis Freeware and Proprietary. Available as part of Intel oneAPI Base Toolkit. Linux Trace Toolkit (LTT ...
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]
Data can be put in a location/area of a storage mechanism. The fundamental feature of a storage location is that its content is both readable and updatable. Before a storage location can be read or updated it needs to be created; that is allocated and initialized with content.
Orange is an open-source software package released under GPL and hosted on GitHub.Versions up to 3.0 include core components in C++ with wrappers in Python.From version 3.0 onwards, Orange uses common Python open-source libraries for scientific computing, such as numpy, scipy and scikit-learn, while its graphical user interface operates within the cross-platform Qt framework.