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WebJan 5, 2024 · There are three main types of missing data: Missing completely at random (MCAR) Missing at random (MAR) Not missing at random (NMAR) However, in this article, I will focus on 6 popular ways for data imputation for cross-sectional datasets ( Time-series dataset is a different story ). 1- Do Nothing: That’s an easy one. WebJul 8, 2024 · There are multiple steps involved in the exploratory data analysis like identifying all the variables and their data types, univariate and bivariate analysis, handling missing values, dealing with the outliers, etc. It is always advisable to never skip the exploratory data analysis step during any model building. http://researcharticles.com/index.php/treatment-of-data-in-research/ dallas winter storm february 2021