Statistics for Data Science

Using R and an SVM to classify data in a database

Now that we understand the data, we can continue with this particular statistical example.

First, the data scientist will need to load the data into an R data frame object. This example is calling it german_raw.

# --- load the data 
german_raw<- read.table("german.data", quote = "\"") 

The next step is to provide column names that match our data schema table, shown in the preceding:

names(german_raw) <- c("checking", "duration", "creditHistory",  "purpose", "credit", "savings", "employment", "installmentRate",  "personal", "debtors", "presentResidence", "property", "age",  "otherPlans", "housing", "existingBankCredits", "job",  "dependents", "telephone", "foreign", "risk") 

Note from the data ...