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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| Format: | Article |
| Language: | English |
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The Korean Society of Endo-Laparoscopic & Robotic Surgery
2023-12-01
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| Series: | Journal of Minimally Invasive Surgery |
| Subjects: | |
| Online Access: | http://www.e-jmis.org/journal/view.html?doi=10.7602/jmis.2023.26.4.167 |
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| _version_ | 1850024460735741952 |
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| author | Soyul Han Il-Youp Kwak |
| author_facet | Soyul Han Il-Youp Kwak |
| author_sort | Soyul Han |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-b83c4b558ac94ffa9e321f88655a6b02 |
| institution | DOAJ |
| issn | 2234-778X |
| language | English |
| publishDate | 2023-12-01 |
| publisher | The Korean Society of Endo-Laparoscopic & Robotic Surgery |
| record_format | Article |
| series | Journal of Minimally Invasive Surgery |
| spelling | doaj-art-b83c4b558ac94ffa9e321f88655a6b022025-08-20T03:01:06ZengThe Korean Society of Endo-Laparoscopic & Robotic SurgeryJournal of Minimally Invasive Surgery2234-778X2023-12-0126416717510.7602/jmis.2023.26.4.167jmis.2023.26.4.167Mastering data visualization with Python: practical tips for researchersSoyul Han0Il-Youp Kwak1Department of Applied Statistics, Chung-Ang University, Seoul, KoreaDepartment of Applied Statistics, Chung-Ang University, Seoul, KoreaBig 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.http://www.e-jmis.org/journal/view.html?doi=10.7602/jmis.2023.26.4.167big datadata visualizationmatplotlibseabornpython |
| spellingShingle | Soyul Han Il-Youp Kwak Mastering data visualization with Python: practical tips for researchers Journal of Minimally Invasive Surgery big data data visualization matplotlib seaborn python |
| title | Mastering data visualization with Python: practical tips for researchers |
| title_full | Mastering data visualization with Python: practical tips for researchers |
| title_fullStr | Mastering data visualization with Python: practical tips for researchers |
| title_full_unstemmed | Mastering data visualization with Python: practical tips for researchers |
| title_short | Mastering data visualization with Python: practical tips for researchers |
| title_sort | mastering data visualization with python practical tips for researchers |
| topic | big data data visualization matplotlib seaborn python |
| url | http://www.e-jmis.org/journal/view.html?doi=10.7602/jmis.2023.26.4.167 |
| work_keys_str_mv | AT soyulhan masteringdatavisualizationwithpythonpracticaltipsforresearchers AT ilyoupkwak masteringdatavisualizationwithpythonpracticaltipsforresearchers |