How to Design an Efficient EDA Study
The very nature of exploratory studies make that both the initial questions and the research process itself turn out to be more open and...
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Big Data 4 Big Outcomes (in Clinical Research)
Today I want to echo one of the most promising initiative to improve health outcomes, healthcare systems and clinical research in Europe...
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How to Interpret the Exploratory Results of AutoDiscovery
The main outcome of the intelligent exhaustive exploratory data analysis process of AutoDiscovery is the list of the most relevant...
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Cómo Interpretar los Resultados Exploratorios de AutoDiscovery
El resultado principal del proceso de análisis exhaustivo e inteligente de AutoDiscovery es el listado de las potenciales relaciones...
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Preparing your Data for AutoDiscovery (III): Identifying Outliers in Excel.
Outliers are one of those statistical issues that everyone knows about, but most people aren’t sure how to deal with. Outliers can skew...
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Preparing your Data for AutoDiscovery (II): From Numbers to Categories in Excel.
Do you have a large list of numbers and you would like to group them into ranges or categories? Do you want to change numerical codes by...
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Preparing your Data for AutoDiscovery: Table-Like Structure in Excel.
In this series of articles I will give you some funny superfast tricks to collect, organize and clean your data for an automated exploratory
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Advanced Characterization of Experimental Groups using Automated Exploratory Data Analysis
The characterization of experimental subject groups is a very common analysis process in research work. Its goal is to identify...
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5 kinds of exploratory questions you may be asking yourself
An exploratory study must always be designed and executed in order to answer a number of a-priory questions. Our experience in dozens of...
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AutoDiscovery 3.1. One Step Beyond.
Much more data, much more to discover, much more to explore and yes ... much faster! Our software engineering and scientific staff have...
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