CEWE: A Python Summary Statistics Tool for Massive Data Analysis

Research output: Contribution to conferenceAbstractScientific

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.
Original languageEnglish
Pages1
Number of pages1
Publication statusPublished - Jan 2017
Event97th American Meteorological Society Annual Meeting: At-A-Glance - Seattle, United States
Duration: 21 Jan 201726 Jan 2017
Conference number: 97
https://ams.confex.com/ams/97Annual/webprogram/

Conference

Conference97th American Meteorological Society Annual Meeting
CountryUnited States
CitySeattle
Period21/01/1726/01/17
Internet address

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  • Cite this

    Oude Nijhuis, A., Krasnov, O., Unal, C., Russchenberg, H., & Yarovoy, A. (2017). CEWE: A Python Summary Statistics Tool for Massive Data Analysis. 1. Abstract from 97th American Meteorological Society Annual Meeting, Seattle, United States.