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.
|Number of pages||1|
|Publication status||Published - Jan 2017|
|Event||97th American Meteorological Society Annual Meeting: At-A-Glance - Seattle, United States|
Duration: 21 Jan 2017 → 26 Jan 2017
Conference number: 97
|Conference||97th American Meteorological Society Annual Meeting|
|Period||21/01/17 → 26/01/17|
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.