1. Introduction | Journal of Open Source Software Article | 2. Data | 2.1 Overview of the data | 2.2 Add summary statistics into Metadata ouput | 3. Exploratory data analysis (EDA) | 3.1 Example for case 1: Target variable is not defined | 3.1.1 Summary of numerical variables | Compute Weighted Summary Statistics for numerical variable | 3.1.2 Distributions of numerical variables | 3.1.3. Summary of categorical variables | 3.1.4. Distributions of categorical variables | 3.2 Example for case 2: Target variable is continuous | 3.2.1. Target variable | 3.2.2 Summary of numerical variables | 3.2.3 Distributions of numerical variables | 3.2.4. Summary of categorical variables | Compute Weighted Summary Statistics for categorical variable | 3.3 Example for case 3: Target variable is categorical | 3.3.1. Summary of categorical dependent variable | 3.3.2 Summary of numerical variables | 3.3.3 Distributions of Numerical variables | 3.3.4 Summary of categorical variables | 3.3.5. Distributions of categorical variables | 4. Quantile-quantile plot for numeric variables | 5. Parallel Co-ordinate plots | 5.1 Defualt ExpParcoord funciton | 5.2 With Stratified rows and selected columns only | 5.3 Without stratification | 5.4 Scale change | 5.5 Selected numeric variables | 5.6 Selected categorical variables | 6. Customized Summary Statistics | 7. Univariate outlier analysis | 7.1 Identifying outliers using Boxplot method | 7.2 Identifying outliers using 3 Standard Deviation method

SamrtEDA function to visualise two independ plots side by side for the same variable | 1. Plot Numerical independent variables - without target variable | 1.1 Left side Boxplot and Right side Histogram | 1.2 Left side Histogram and Right side Density | 1.3 Left side Density and Right side Boxplot | 1.4 Left side qqplot and Right side Boxplot | 2. Plot Numerical independent variables - with target variable | 2.1 Left side Boxplot and Right side Histogram | 2.2 Left side Histogram and Right side Density | 2.3 Left side Density and Right side Boxplot | 2.4 Left side qqplot and Right side Density | 2.5 Left side Boxplot and Right side qqplot | 3. Plot categorical independent variables - without target variable | 3.1 Left side donut chart and Right side bar chart | 3.2 Left side donut chart and Right side Pie chart | 3.3 Left side horizontal bar chart and Right side Pie chart | 4. Plot categorical independent variables - with target variable | 4.1 Left side donut chart and Right side stacked bar chart | 4.2 Left side donut chart and Right side horizontal stacked bar chart

1. Exploratory analysis - Custom tables, summary statistics | 1.1 Usage of ExpCustomStat function | 2. Categorical summaries | 2.1. Frequency table | 2.2. Crosstabulation (more than one categorical variable) | 2.3. Adding filters to tables | 3. Numerical summaries | 3.1. Numerical variable summary | 3.2. Adding filters to complete data (like base subset) | 3.3. Filter out unique value from all the numeric variables | 3.4. Adding filters at variable level | 4. Numerical summaries by category | 4.1. Variable summary report (One group variable) | 4.2. Variable summary report (More than One group variable) | 4.3. Variable summary report (More than One group variable) with filter | 5. Resahpe data | Example scripts | References