Data Preperation

[claudiavhoof]

Prepare the data:

• Encode variables in to the right type
• Remove NA columns
• Rename columns to a practical names
• Create dummy variables for all business attributes

[asaarloos]

git fetch origin git checkout 10-data-preperation

[asaarloos]

Things that already done:

• Deleting columns that we don't use.
• Rearrange the dataset
• Deleting companies that are permently closed
• Exploring the classes of the variables

Things to do:

• Dummy variables attributes
• Deleting NA's
• Barrier of the review counts
• Other preperation has to be discussed.

[asaarloos]

Fixing the structure of the document - think of packages first.