Let's start this section with some background on R. R is a language and environment that is easy to learn, very flexible in nature, and very focused on statistical computing, making it a great choice for manipulating, cleaning, summarizing, producing probability statistics, and so on.
In addition, here are a few more reasons to use R for data cleaning:
- It is used by a large number of data scientists so it's not going away anytime soon
- R is platform independent, so what you create will run almost anywhere
- R has awesome help resources--just Google it, you'll see!
The simplest explanation for what outliers are might be is to say that outliers are those data points that just don't fit the rest of your data. Upon observance, any data that is either very high, very low, or just unusual (within the context of your project), is an outlier. As part of data cleansing, a data scientist would typically identify the outliers and then address the outliers using a generally...
