This post provides a hands-on guide for performing exploratory data analysis (EDA) on a biological protein structure data set. EDA is a crucial first step in any data science project and provides insights that help make better decisions in data cleaning, feature selection, and model evaluation. The post covers topics such as
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Exploratory Data Analysis(EDA)on Biological Data: A Hands-On GuideLoading the Data1.Feature selection2.Unique value feature3.Date feature4. Handling missing values5.Data distribution6.Data validation7 .Converting the length feature8. Creating the list of numerical and categorical columns9. Checking for Multicollinearity10. Bi-variate analysis11. Categorical Data CleaningSort: