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Publication: IIP Proceedings Year: 2022, Month: November Page No: 251-266, ISSN/ISBN: 978-81-959356-3-5, DOI/Link: https://rsquarel.org/assets/docupload/rsl2023E66FAFD6FD442A4.pdf
DATA VISUALIZATION USING PYTHON WITH SPECIAL REFERENCE TO MATPLOTLIB AND SEABORN
Area/Stream: Computing Technologies and Data Sciences, Authors: Reny Jose,Kochumol Abraham,Win Mathew John Keywords: Visualization; Python; Matplotlib; Seaborn Book Name /series: Futuristic Trends in Computing Technologies and Data Sciences,Volume 2, Book 18, Part 5, Chapter 1Publication: IIP Proceedings Year: 2022, Month: November Page No: 251-266, ISSN/ISBN: 978-81-959356-3-5, DOI/Link: https://rsquarel.org/assets/docupload/rsl2023E66FAFD6FD442A4.pdf
Abstract:
In the contemporary world, enormous data is generated per diem. The extraction of information from this data is a tedious process. To represent this information different methods are available in the real-world scenario. To produce an impact on the viewers it is always better to have a visualization of these data. Representing the analyzed data or processed data through charts, graphs and animations is known as data visualization. To convey an idea or to represent a policy we can use visualizations. The importance of visualization increases as the visual impact on humans increases. Our eyes are more lenient with colors and patterns. Hence representing data in a visual form makes it easier to analyze. The significance of visualization is that correlations and trends that might not be detected can be easily recognized in an understandable format.
Cite this: Reny Jose,Kochumol Abraham,Win Mathew John,"DATA VISUALIZATION USING PYTHON WITH SPECIAL REFERENCE TO MATPLOTLIB AND SEABORN", Futuristic Trends in Computing Technologies and Data Sciences,Volume 2, Book 18, Part 5, Chapter 1, November, 2022, 251-266, 978-81-959356-3-5, https://rsquarel.org/assets/docupload/rsl2023E66FAFD6FD442A4.pdf
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