ACL Character Function – Include() Function

Welcome back future ACL data analyst. We continue with the series of post for Audit Command Language for beginner data analysts. The next character based function in audit command language is the Include function.

Just like any other function in the Audit Command Language, this is an equally important function. Just like the Exclude function, this function is most often used for the purposes of data cleansing. The difference between the two can be deduced by the names themselves. Nevertheless, to put it in context, there are cases where the requirements are such that only certain characters in the field may be required for a certain analysis. For instance, there may be account numbers in a ledger where alphabets are just added for identification purposes but for overall reconciliations, the actual account number is to be considered. In such cases, only numeric values are required to be ‘included’ in the final formatted data.

Syntax: Include(Data Field or string,<Characters to include>)

Example in a script to create a new field using Include Function

DELETE FIELD NEW_GENDER OK
DEFINE FIELD NEW_GENDER COMPUTED AS
Include(FIELD_1,’M’)

Example in a workspace to create a new field using Exclude Function

NEW_GENDER Computed
Include(FIELD_1,’M’)

The above examples are attempting to include only the character ‘M’ in the gender field in the existing table and create a new field. See the below screenshot for the result.

It really is as easy as it looks. There shouldn’t be any real challenges here for anyone and it is a nifty trick to be able to use to impress your first boss to help him/her with data cleansing. So keep an eye open for any such opportunities.

Please keep practicing and feel free to reach out to us with your valuable feedback and comments. Please go to the website to review ACL script examples and ACL commands sign up for our newsletter, so that we may keep you posted on the latest activity on our website and Youtube channel.

 

ACL Character Function – Exclude() Function

Greetings and welcome to the latest post in the series ‘Audit Command Language Tutorial‘ for Beginners. The next few posts are going to be dedicated to character functions as discussed in the last post. Each of the following posts will explore a character function in detail with an example. So let’s dive straight in.

The first of these functions is the Exclude function. A very important function for data cleansing purposes. Every so often there are certain special characters that get included in certain key fields in data sets. In order to ensure correct analysis on these key fields, it is required that these special characters be excluded from the field in order to normalize/standardize the data.

Syntax: Exclude(Data Field or string ,<Characters to exclude>)

Example in a script to create a new field using Exclude Function

DELETE FIELD NEW_GENDER OK
DEFINE FIELD NEW_GENDER COMPUTED AS
Exclude(FIELD_1,’M’)

Example in a workspace to create a new field using Exclude Function

New_GENDER                                Computed
EXCLUDE(FIELD_1,’M’)

Results from either of the above methods would be that any instance of the character ‘M’ will be removed from any relevant values in the column ‘Field_1’ when creating the new column ‘New_Gender’.

This is an easy enough function to use and apply in any project. The only thing to do is to identify the appropriate instance for implementation. Check out the video for a demo of the function :

This post and the subsequent entries should provide for considerable inputs for you to start playing around with data formatting efforts in your own projects.

Please keep practicing and feel free to reach out to us with your valuable feedback and comments. Please go to the website to review ACL script examples and ACL script commands sign up for our newsletter, so that we may keep you posted on the latest activity on our website and Youtube channel.




Audit Command Language – Functions

Welcome to another post in the series ‘Audit Command Language Tutorial for Beginners’. At this point we have discussed two of the key aspects of the ACL tool; creation of scripts and workspaces. The next important piece of the puzzle is ‘Functions’. The remainder of this post is written assuming that the reader has some coding background only to follow along for the terminology.

Functions in any programming language are kind of stored procedures that come with the package to perform certain repetitive tasks. These tasks can be something like, extracting a section of a existing field, formatting data fields to be more presentable way or perhaps just to simply sum up two columns. There are a number of such routine tasks. The functionality of functions provides data analyst the ability to get to relevant data points faster.

Based on the most routinely required functionality, functions are broadly classified in the following three categories:

  1. Character Functions: As the name suggests, this category functions is used on character type data files i.e. imported as ASCII during data import in Audit Command Language software. There is often need for extracting certain sections in a field, or excluding/including/replacing certain characters from a data field and so on. These operations can only be performed on character data types. Some of the most commonly used functions are:
    • Exclude()
    • Include()
    • Replace()
    • Sub() or substring()
    • Alltrim()
    • last()
    • Value()
    • Match()
    • length()
    • string()
    • Split()
    • Upper()
    • Lower()
    • Between()
  2. Numeric Functions: Just like character functions, numeric functions are required to be integers i.e. imported as ‘Numeric’ data type into ACL. Some of the most commonly used numeric functions are:
    • Dec()
    • Round()
    • ABS()
    • INT()
    • Zoned()
    • Between()
  3. Date Functions: Dates are essentially numeric values stored in date formats. Since, the computation on dates are slightly different than regular numbers, there are a set of different functions to extract information from such fields like, current day, current month, day of the week, number of days between two dates and so on. The most regularly used date functions are:
    • CTOD()
    • CDOW()
    • CTOT()
    • DATE()
    • MONTH()
    • AGE()

These basic function types are briefly covered in the following three videos:

Character Functions

Numeric Functions

Date Functions

Besides the above mentioned categories there is another set of functions, leveraged solely for the purpose of data correction in case there are problems in the data file as discussed in the previous posts: data issues ‘split’ & ‘spill’. Most regularly summoned functions for such tasks are:

  1. Recoffset()
  2. Static

The goal of this post is to introduce the readers to functions that would be discussed in the upcoming posts. Each of the above mentioned functions would detailed with its own accompanying post with example and sample scripts that can be leveraged in your own projects.

Please keep practicing and feel free to reach out to us with your valuable feedback and comments. Please go through the website to review ACL script examples and ACL script commands sign up for our newsletter, so that we may keep you posted on the latest activity on our website and Youtube channel.