Descriptive analysis of circular data with outliers using Python programming language

Descriptive statistics are commonly used in data analysis to describe the basic features of raw data. Descriptive summaries enable us to present the data in a more simple and meaningful way so that the interpretation will be easier to understand. The descriptive analysis of circular data with outlie...

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Prif Awduron: N. S., Zulkipli, Siti Zanariah, Satari, Wan Nur Syahidah, Wan Yusoff
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: Penerbit UMP 2020
Pynciau:
Mynediad Ar-lein:http://umpir.ump.edu.my/id/eprint/30294/7/Descriptive%20analysis%20of%20circular%20data.pdf
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author N. S., Zulkipli
Siti Zanariah, Satari
Wan Nur Syahidah, Wan Yusoff
author_facet N. S., Zulkipli
Siti Zanariah, Satari
Wan Nur Syahidah, Wan Yusoff
author_sort N. S., Zulkipli
collection UMP
description Descriptive statistics are commonly used in data analysis to describe the basic features of raw data. Descriptive summaries enable us to present the data in a more simple and meaningful way so that the interpretation will be easier to understand. The descriptive analysis of circular data with outliers is discussed in this study. Circular data is different from linear data in many aspects such as statistical modeling, descriptive statistics and etc. Hence, unlike linear data, the availability of statistical software specialises in analysing circular data is very limited. Python is a programming language which frequently used by data analysts nowadays. However, the package for circular statistics is not fully developed and it is not ready to use like in Splus or R programming language. In this study, the descriptive analysis of circular data is performed using the in-demand programming language, Python. Descriptive statistics of the circular data especially with the existence of outliers are discussed and the proposed Python code is available to use.
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spelling UMPir302942020-12-29T07:06:35Z http://umpir.ump.edu.my/id/eprint/30294/ Descriptive analysis of circular data with outliers using Python programming language N. S., Zulkipli Siti Zanariah, Satari Wan Nur Syahidah, Wan Yusoff QA Mathematics Descriptive statistics are commonly used in data analysis to describe the basic features of raw data. Descriptive summaries enable us to present the data in a more simple and meaningful way so that the interpretation will be easier to understand. The descriptive analysis of circular data with outliers is discussed in this study. Circular data is different from linear data in many aspects such as statistical modeling, descriptive statistics and etc. Hence, unlike linear data, the availability of statistical software specialises in analysing circular data is very limited. Python is a programming language which frequently used by data analysts nowadays. However, the package for circular statistics is not fully developed and it is not ready to use like in Splus or R programming language. In this study, the descriptive analysis of circular data is performed using the in-demand programming language, Python. Descriptive statistics of the circular data especially with the existence of outliers are discussed and the proposed Python code is available to use. Penerbit UMP 2020 Article PeerReviewed pdf en cc_by_nc_nd_4 http://umpir.ump.edu.my/id/eprint/30294/7/Descriptive%20analysis%20of%20circular%20data.pdf N. S., Zulkipli and Siti Zanariah, Satari and Wan Nur Syahidah, Wan Yusoff (2020) Descriptive analysis of circular data with outliers using Python programming language. Data Analytics and Applied Mathematics (DAAM), 1 (1). pp. 31-36. ISSN 2773-4854. (Published) https://doi.org/10.15282/daam.v1i1.5085 https://doi.org/10.15282/daam.v1i1.5085
spellingShingle QA Mathematics
N. S., Zulkipli
Siti Zanariah, Satari
Wan Nur Syahidah, Wan Yusoff
Descriptive analysis of circular data with outliers using Python programming language
title Descriptive analysis of circular data with outliers using Python programming language
title_full Descriptive analysis of circular data with outliers using Python programming language
title_fullStr Descriptive analysis of circular data with outliers using Python programming language
title_full_unstemmed Descriptive analysis of circular data with outliers using Python programming language
title_short Descriptive analysis of circular data with outliers using Python programming language
title_sort descriptive analysis of circular data with outliers using python programming language
topic QA Mathematics
url http://umpir.ump.edu.my/id/eprint/30294/7/Descriptive%20analysis%20of%20circular%20data.pdf
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