This JOSS-accepted paper introduces the R package SmartEDA. In a quality statistical data analysis the initial step has to be exploratory. Exploratory data analysis begins with the univariate exploratory analysis - examining the variable one step at a time. Next comes bivariate analysis followed by multivariate analysis. The SmartEDA package helps in implementing the complete Exploratory Data Analysis just by running the function instead of writing lengthy R code. The users of SmartEDA can automate the entire EDA process on any dataset with easy to implement functions and export EDA reports that follow the industry and academia best practices. The SmartEDA can provide summary statistics along with graphical plots for both numerical and categorical variables. It also provides an extension to data.table package which none of the other packages available in CRAN provides. Overall, the main benefits of SmartEDA are in development time savings, less error percentage, and reproducibility.