CEWE

Oude Nijhuis, A.C.P.; Krasnov, O.A.; Unal, C.M.H.; Russchenberg, H.W.J.; Yarovoy, Alexander

CEWE

A Python Summary Statistics Tool for Massive Data Analysis

Abstract (2017)

Authors

A.C.P. Oude Nijhuis Microwave Sensing, Signals & Systems -

O.A. Krasnov Microwave Sensing, Signals & Systems -

C.M.H. Unal Atmospheric Remote Sensing -

H.W.J. Russchenberg Atmospheric Remote Sensing -

Alexander Yarovoy Microwave Sensing, Signals & Systems -

Research Group

Microwave Sensing, Signals & Systems () (TU Delft)

To reference this document use:

http://resolver.tudelft.nl/uuid:a65a2f0e-6741-49cc-a08d-ac649cd4e3a4

More Info

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Published Date

2017-1

Language

English

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Faculty

Electrical Engineering, Mathematics and Computer Science

Department

Microelectronics

Research Group

Microwave Sensing, Signals & Systems

Abstract

In this presentation CEWE is introduced, which is a novel open source Python module with the aim of processing summary statistics for massive data sets. It is based on the addition of raw moments and a mixed moment from which regular statistics can be calculated. The novelties of the CEWE tool in comparison with other massive data analysis tools are (1) that it is compatible with circular data; (2) there is a minimalistic worked example available that can be used as a starting for a new project and (3) there is an on-line worked example, TARA CEWE. The tool provides a fast way to explore and validate the data and gives the opportunity to discover correlations between variables. In the on-line example TARA CEWE, observables from a precipitation profiling radar are compared to an extensive list of meteorological parameters from the meteorological supersite in Cabauw, the Netherlands.