I created an R package for exploratory data analysis. You can read about it and install it here.  

The package contains several tools to perform initial exploratory analysis on any input dataset. It includes custom functions for plotting the data as well as performing different kinds of analyses such as univariate, bivariate and multivariate investigation which is the first step of any predictive modeling pipeline. This package can be used to get a good sense of any dataset before jumping on to building predictive models.

The package is constantly under development and more functionalities will be added soon. Pull requests to add more functions are welcome!

The functions currently included in the package are mentioned below:

• numSummary(mydata) function automatically detects all numeric columns in the dataframe mydata and provides their summary statistics
• charSummary(mydata) function automatically detects all character columns in the dataframe mydata and provides their summary statistics
• Plot(mydata, dep.var) plots all independent variables in the dataframe mydata against the dependant variable specified by the dep.var parameter
• removeSpecial(mydata, vec) replaces all special characters (specified by vector vec) in the dataframe mydata with NA
• bivariate(mydata, dep.var, indep.var) performs bivariate analysis between dependent variable dep.var and independent variable indep.var in the dataframe mydata

More functions to be added soon. Any feedback on improving this is welcome!