Exploratory data analysis
نویسنده
چکیده
منابع مشابه
Application of C-A fractal model and exploratory data analysis (EDA) to delineate geochemical anomalies in the: Takab 1:25,000 geochemical sheet, NW Iran
Abstract Most conventional statistical methods aiming at defining geochemical concentration thresholds for separating anomalies from background have limited effectiveness in areas with complex geological settings and variable lithology. In this paper, median+2MAD as a method of exploratory data analysis (EDA) and concentration-area (C-A) fractal model as two effective approaches in separation g...
متن کاملExploratory factor analysis revisited: How robust methods support the detection of hidden multivariate data structures in IS research
Exploratory factor analysis is commonly used in IS research to detect multivariate data structures. Frequently, the method is blindly applied without checking if the data at hand fulfill the requirements of the method. In this paper, we investigate the influence of sample size, data transformation, factor extraction method, rotation and number of factors on the outcome. We compare classical exp...
متن کاملChive: A System for Collaborative Exploratory Data Analysis
Exploratory data analysis is a process which involves rapid iteration and creation of multiple views of a dataset to explore the data, test hypotheses and find interesting patterns. To facilitate this process, we present Chive, a system for collaborative exploratory data analysis which keeps track of the complete history of analysts’ exploratory process, allows them to quickly revert to any vis...
متن کاملA computational framework for exploratory data analysis
We introduce the Exploration Machine (Exploratory Observation Machine, XOM) as a novel versatile method for the analysis of multidimensional data. XOM systematically inverts structural and functional components of so-called topology-preserving mappings. It provides a surprising flexibility to simultaneously contribute to complementary domains of unsupervised learning for exploratory pattern ana...
متن کاملA Planning Representation for Automated Exploratory Data Analysis
Igor is a knowledge-based system for exploratory statistical analysis of complex systems and environments. Igor has two related goals: to help automate the search for interesting patterns in data sets, and to help develop models that capture significant relationships in the data. We outline a language for Igor, based on techniques of opportunistic planning, which balances control and opportunis...
متن کاملSupporting Asynchronous Interactive Visualization for Exploratory Data Analysis
Supporting Asynchronous Interactive Visualization for Exploratory Data Analysis
متن کامل