All data needs to be clean before you can explore and create models. Common sense, right. Cleaning data can be tedious but I created a function that will help.

The function do the following:

• Clean Data from NA’s and Blanks
• Separate the clean data – Integer dataframe, Double dataframe, Factor dataframe, Numeric dataframe, and Factor and Numeric dataframe.
• View the new dataframes
• Create a view of the summary and describe from the clean data.
• Create histograms of the data frames.
• Save all the objects

This will happen in seconds.

Package

First, load Hmisc package. I always save the original file.
The code below is the engine that cleans the data file.

cleandata <- dataname[complete.cases(dataname),] 

The function

The function is below. You need to copy the code and save it in an R file. Run the code and the function cleanme will appear.

cleanme 

Type in and run:

cleanme(dataname)

When all the data frames appear, type to load the workspace as objects.

load("cleanmework.RData")

Enjoy

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