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Fuzzy SQL is a powerful tool for data exploration and pattern discovery.
WeSpace has been developed for a population of scientists who frequently meet in small groups for data exploration and visualization.
To develop products and services on the basis of data, companies need a capable discovery platform for data exploration along with the requisite skills and processes.
He can help you utilize formal statistical tests for data exploration and hypothesis testing for undergraduate, master's, and doctoral theses and other professional research.
I am most interested in how to best tailor databases for data exploration, and more broadly in the connection between statistics, theoretical math, and data management.
Hyperspectral data processing was carried out applying first principal component analysis (PCA) for data exploration and then partial least square-discriminant analysis (PLS-DA) to build classification models.
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In this work, chemometric data analysis tools included PCA for unsupervised data exploration and PLS for creating multidimensional regression curve fitting [ 76- 78].
He focuses on building systems for interactive data exploration, machine learning, and transactional systems for modern hardware, especially the next generation of networks.
Microsoft Excel was used for visual data exploration and to create tables and figures for publication.
Mayday is an extensible platform for visual data exploration and interactive analysis and provides many methods for dissecting complex transcriptome datasets.
To ensure a reliable data basis for statistical data exploration, MeltDB 2.0 is equipped with several new and updated algorithms for the early steps of experiment data analysis.
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Since I tried Ludwig back in 2017, I have been constantly using it in both editing and translation. Ever since, I suggest it to my translators at ProSciEditing.

Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com