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Journals / İstatistik ve Uygulamalı Bilimler Dergisi / 2021 / Cilt: 2 Sayı: 2

Visualizations and Compositional Data Analysis for the European Time Use

Avrupa Zaman Kullanımı Verisi için Görsel ve Bütünleşik Veri Analizi

Cenk İçöz(Eskişehir Technical University)0000-0002-0219-1088
Pages
1–13
Publication Date
2021-12-27
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Indeed, the results show that there some are differences between traditional techniques and compositional data analysis.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Time use data is a specific data that is of interest to many researchers such as sociologists, psychologists, statisticians and etc.
📊
Key Findings & Data:It is multivariate by nature and can be seen as a subtype of multivariate data called compositional data.
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Conclusion & Impact:Indeed, the results show that there some are differences between traditional techniques and compositional data analysis.
🔬Design:Araştırma Makalesi
📍Scope:Comprehensive Sample
⚙️Variables:Zaman Kullanım Verisi · Bütünleşik Veri · Log-oran Analizi

Abstract

Time use data is a specific data that is of interest to many researchers such as sociologists, psychologists, statisticians and etc. It is multivariate by nature and can be seen as a subtype of multivariate data called compositional data. Thus, time use data can also be analyzed and visualized by compositional data analysis techniques. This is rarely mentioned in literature; usually analyses and visualizations of time use data is shown in multivariate real space. However, this may lead to false interpretation of the data and even some multivariate statistical analysis cannot be directly applied before a transformation is made. The main contribution of this study is to show how an analysis might be used for time use data and what benefits might be gained from this new setting of the data set as compositional parts. Indeed, the results show that there some are differences between traditional techniques and compositional data analysis.

Özet

Zaman kullanım verileri, sosyologlar, psikologlar, istatistikçiler vb. gibi birçok araştırmacının ilgisini çeken bir veridir. Bu tür veriler doğası gereği çok değişkenlidir ve çok değişkenli verilerin bir alt türü olarak, bütünleşik veriler olarak adlandırılır. Böylece zaman kullanım verileri, bütünleşik veri analiz teknikleri ile de analiz edilebilir ve görselleştirilebilir. Literatürde bu durumdan nadiren bahsedilmektedir; genellikle analizler ve zaman kullanımı verilerinin görselleştirilmesi çok değişkenli gerçek uzayda gösterilir. Ancak b, verilerin yanlış yorumlanmasına yol açabilir ve hatta bazı çok değişkenli istatistiksel analizler bir dönüşüm yapılmadan önce doğrudan uygulanamayabilir. Bu çalışmanın ana katkısı, zaman kullanım verileri için bir analizin nasıl kullanılabileceğini ve veri setinin bu yeni düzenlemesinden kompozisyon parçaları olarak ne gibi faydalar elde edilebileceğini göstermektir. Gerçekten de zaman kullanım verisi için elde edilen sonuçlar , geleneksel teknikler ile bütünleşik veri analizi arasında bazı farklılıklar olduğunu göstermektedir.

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Cite This Article

İçöz, C. (2021). Visualizations and Compositional Data Analysis for the European Time Use. İstatistik ve Uygulamalı Bilimler Dergisi, Cilt: 2 Sayı: 2, 1–13. https://doi.org/10.52693/jsas.994860

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