COVID-19'un Ülke Bazlı Analizi ve Veri Görselleştirmesi

Abdullah Erdal Tümer; Musab Kasım Doğan

EN TR

Country-based Analysis and Data Visualization of COVID-19

Abstract

The COVID-19 epidemic, which affects every aspect of human life, has resulted in millions of deaths. Today, COVID-19 is known as influenza, although its name is not fully known, and it is not fatal. Visualization of disease data is important in preventing COVID-19 and similar diseases. Governments provide reliable, understandable and easily transferable information to workplaces and institutions provides awareness in the fight against relevant diseases. The aim of this study is to compare the impact of COVID-19 in different continents and countries with the data visualization method. It is thought that information about confirmed COVID-19 cases will increase awareness. Elasticsearch, an open-source software, was used to visualize this outbreak. Data were obtained from different countries such as the USA, China and Türkiye. Data headlines are the number of confirmed COVID-19 cases, the total number of deaths, and the total number of cases recovered. An attempt has been made to provide a comprehensive understanding of the impact of COVID-19. In addition, it was evaluated that this study would shed light on the visualization of big data received from many different applications and services in real life.

Keywords

COVID-19, Coronavirus, Data visualization, Elasticsearch, Logstash, Kibana

COVID-19'un Ülke Bazlı Analizi ve Veri Görselleştirmesi

Abstract

İnsan yaşamının her alanını etkileyen COVID-19 salgını, milyonlarca ölümle sonuçlanmıştır. Günümüzde adı tam olarak konulmamakla ve ölümcül olmamakla beraber COVID-19 günümüzde influenza olarak seyretmektedir. COVID-19 ve benzeri hastalıkların önlenmesinde hastalıklara ait verilerin görselleştirilmesi önemlidir. Özellikle hükümetlerin, iş yerlerine ve kurumlara güvenilir, anlaşılır ve kolay aktarılabilen bilgiler sunması, ilgili hastalıklarla mücadelede noktasında farkındalık sağlamaktadır. Bu çalışmanın amacı, veri görselleştirme yöntemi ile farklı kıta ve ülkelerdeki COVID-19’un etkisini karşılaştırmaktır. Doğrulanmış COVID-19 vakaları hakkındaki bilgilerin farkındalığı artıracağı düşünülmektedir. Bu salgını görselleştirmek için açık kaynaklı bir yazılım olan Elasticsearch kullanılmıştır. Veriler ABD, Çin, Türkiye gibi farklı ülkelerden elde edilmiştir. Veri başlıkları, doğrulanmış COVID-19 vaka sayısı, toplam ölüm sayısı ve kurtarılan toplam vaka sayısı olarak belirlenmiştir. COVID-19’un etkisi hakkında kapsamlı bir anlayış ortaya konulmaya çalışılmıştır. Ayrıca bu çalışma ile gerçek hayattaki birçok farklı uygulama ve hizmetten alınan büyük verilerin de görselleştirilmesine ışık tutacağı değerlendirilmiştir.

Keywords

COVID-19, Koronavirüs, Veri Görselleştirme, Elasticsearch, Logstash, Kibana

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Details

Primary Language

Turkish

Subjects

Information Modelling, Management and Ontologies

Journal Section

Research Article

Authors

Abdullah Erdal Tümer ^*
0000-0001-7747-9441
Türkiye

Musab Kasım Doğan
0009-0002-8681-2845
Türkiye

Early Pub Date

December 18, 2024

Publication Date

December 31, 2024

Submission Date

March 15, 2024

Acceptance Date

July 7, 2024

Published in Issue

Year 2024 Volume: 6 Number: 3

IZ

https://izlik.org/JA93WP63UE

APA

Tümer, A. E., & Doğan, M. K. (2024). COVID-19’un Ülke Bazlı Analizi ve Veri Görselleştirmesi. Necmettin Erbakan University Journal of Science and Engineering, 6(3), 512-524. https://izlik.org/JA93WP63UE

AMA

1.Tümer AE, Doğan MK. COVID-19’un Ülke Bazlı Analizi ve Veri Görselleştirmesi. NEJSE. 2024;6(3):512-524. https://izlik.org/JA93WP63UE

Chicago

Tümer, Abdullah Erdal, and Musab Kasım Doğan. 2024. “COVID-19’un Ülke Bazlı Analizi Ve Veri Görselleştirmesi”. Necmettin Erbakan University Journal of Science and Engineering 6 (3): 512-24. https://izlik.org/JA93WP63UE.

EndNote

Tümer AE, Doğan MK (December 1, 2024) COVID-19’un Ülke Bazlı Analizi ve Veri Görselleştirmesi. Necmettin Erbakan University Journal of Science and Engineering 6 3 512–524.

IEEE

[1]A. E. Tümer and M. K. Doğan, “COVID-19’un Ülke Bazlı Analizi ve Veri Görselleştirmesi”, NEJSE, vol. 6, no. 3, pp. 512–524, Dec. 2024, [Online]. Available: https://izlik.org/JA93WP63UE

ISNAD

Tümer, Abdullah Erdal - Doğan, Musab Kasım. “COVID-19’un Ülke Bazlı Analizi Ve Veri Görselleştirmesi”. Necmettin Erbakan University Journal of Science and Engineering 6/3 (December 1, 2024): 512-524. https://izlik.org/JA93WP63UE.

JAMA

1.Tümer AE, Doğan MK. COVID-19’un Ülke Bazlı Analizi ve Veri Görselleştirmesi. NEJSE. 2024;6:512–524.

MLA

Tümer, Abdullah Erdal, and Musab Kasım Doğan. “COVID-19’un Ülke Bazlı Analizi Ve Veri Görselleştirmesi”. Necmettin Erbakan University Journal of Science and Engineering, vol. 6, no. 3, Dec. 2024, pp. 512-24, https://izlik.org/JA93WP63UE.

Vancouver

1.Abdullah Erdal Tümer, Musab Kasım Doğan. COVID-19’un Ülke Bazlı Analizi ve Veri Görselleştirmesi. NEJSE [Internet]. 2024 Dec. 1;6(3):512-24. Available from: https://izlik.org/JA93WP63UE

Country-based Analysis and Data Visualization of COVID-19

Abstract

Keywords

COVID-19'un Ülke Bazlı Analizi ve Veri Görselleştirmesi

Abstract

Keywords

References

Details

Primary Language

Subjects

Journal Section

Authors

Early Pub Date

Publication Date

Submission Date

Acceptance Date

Published in Issue

IZ

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