Exploratory Data Analysis (EDA) for Beginners: Tools and Best Practices
DOI:
https://doi.org/10.48047/resmil.v10i1.11Keywords:
exploratory data analysis, data exploration, data visualization, data cleaning, data types, jupyter notebooksAbstract
Exploratory Data Analysis (EDA) is an crucial phase in the statistics analysis technique, particularly valuable for the ones new to the field. This complete overview paper ambitions to provide beginners with an in-intensity knowledge of EDA, delving into its important significance, essential concepts, indispensable equipment, and quality practices. By navigating via this paper, readers will be well-prepared to embark on their EDA journey, equipped with the knowledge and talents vital to effectively explore records and derive meaningful insights.
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Published
2020-02-12
How to Cite
Pragya Rawat, Gori Soni. (2020). Exploratory Data Analysis (EDA) for Beginners: Tools and Best Practices. RES MILITARIS, 10(1), 89–95. https://doi.org/10.48047/resmil.v10i1.11
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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.