Mastering data visualization with Python: practical tips for researchers

Big data have revolutionized the way data are processed and used across all fields. In the past, research was primarily conducted with a focus on hypothesis confirmation using sample data. However, in the era of big data, this has shifted to gaining insights from the collected data. Visualizing vast...

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Veröffentlicht in:Journal of minimally invasive surgery Jg. 26; H. 4; S. 167 - 175
Hauptverfasser: Han, Soyul, Kwak, Il-Youp
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Korea (South) The Korean Society of Endo-Laparoscopic & Robotic Surgery 15.12.2023
대한내시경로봇외과학회
Schlagworte:
big data
data visualization
matplotlib
python
Review
seaborn
일반외과학
Matplotlib
Big data
Seaborn
Data visualization
Python
ISSN:2234-778X, 2234-5248, 2234-5248
Online-Zugang:Volltext
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Zusammenfassung:Big data have revolutionized the way data are processed and used across all fields. In the past, research was primarily conducted with a focus on hypothesis confirmation using sample data. However, in the era of big data, this has shifted to gaining insights from the collected data. Visualizing vast amounts of data to derive insights is crucial. For instance, leveraging big data for visualization can help identify and predict characteristics and patterns related to various infectious diseases. When data are presented in a visual format, patterns within the data become clear, making it easier to comprehend and provide deeper insights. This study aimed to comprehensively discuss data visualization and the various techniques used in the process. It also sought to enable researchers to directly use Python programs for data visualization. By providing practical visualization exercises on GitHub, this study aimed to facilitate their application in research endeavors.
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https://doi.org/10.7602/jmis.2023.26.4.167
ISSN:2234-778X
2234-5248
2234-5248
DOI:10.7602/jmis.2023.26.4.167