Scrubs®, free with Pre Post Office, features a number of useful data routines that will help you transform and standardize your databases.
Setup Program: 21.6 MB
Install & use Scrubs now.
Optionally purchase Sieve or EasyStreet later.
Address Parsing - Parses any number of address lines and isolates address, city, province, state and postal or zip code.
Street Parsing - Splits a street address into street elements e.g. direction, unit or street number.
Gender Coding - Identifies a person's gender based on their honorific, first or full name.
Full Name Parsing - Splits a individual's name into name components e.g. title, first, middle and last name.
Casing - Upper lower or punctuate addresses, individual or company data elements.
Record Dumps - Allows you to select any number of fields and perform an Nth, Random or field sample record selection.
Tally Reports - Also know as distribution, frequency or count reports.
Because not everyone needs the full functionality that Pre Post Office provides, we've made it really easy for you to select the modules you need.
The core Scrubs module is free to help you enhance and clean up your data (without restrictions).
When you need functions provided in other modules, there's no further download - you can request a trial period or just activate the module you need by purchasing a simple activation code.
The Address Parser can handle any number of address fields. These fields can contain address elements in any position.
The Street Address Parsing task allows you to select multiple street addresses and isolate street elements.
Street Number
Street Name
Street Type
Street Direction
Unit Identifier
Route Identifier
PO Box Identifier
The Gender Coding task will append a code to a field in your input table. It will even identify company names.
Honorific - Mr, Mrs or Rabbi
First Name
Full Name - The name field does not have to be parsed into it's components. The application will parse on the fly and use honorific if it exists then the first name.
The Full Name Parsing task allows you to select a data field that contains an individual's full name and split out name elements.
Honorific - e.g. Mr, Mrs or Madam
First name
Middle name
Surname
Suffix
Multiple contact names
Scrubs' Casing function transforms your data based on capitalization settings that you choose. Data can be in English, French or mixed. French accents can be added or removed.
Company names
An individual's name - honorific, first, middle and last name, suffix professional title
Street addresses
City
Province or State
General - data elements not of the above types that require basic upper and lower casing
The Record Dumps task allow you to produce a smart, formatted report using selected data fields.
Nth - An even sampling of records from the beginning, middle and end of the table.
Random - Randomized selection of records.
Field Sample - Used in conjunction with a field name showing a sample of each value.
All - Entire file.
The Tally Report task provides counts of data occurrences in fields at any number of hierarchal level.
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