Clear up sheet in ACL

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Aug 6th, 2022
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How to clear up sheet in ACL

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hi everyone my name is King Ivy and this is Introduction to ACL benfordamp;#39;s law so in this Workshop Iamp;#39;m going to as you probably know Iamp;#39;m going to be showing you how to perform benfordamp;#39;s law using ACL so what weamp;#39;re going to do here is essentially Iamp;#39;m going to show you highle Theory so basically Benford law says that number numbers with leading digits should occur within a logarithmic distribution uh where lower numbers lower leading digits should occur more often than um higher leading digits so Iamp;#39;m going to show you the math behind it itamp;#39;s pretty simple straightforward so we can go log the number that youamp;#39;re looking at in this case is one so how how often do we expect one to be the leading digit if weamp;#39;re just looking at the first digit Lo minus so minus log of the number and then what youamp;#39;ll see here is that we total it up it adds up to 100% so for example we expect in a population with naturally occ

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With ACL, you can manage your data analysis project from start to finish. In general, a project follows six phases: Plan, Acquire, Access, Verify, Analyze, and Report. Identify the objective in business and technical terms.
Create a new project from ACL for Windows In the ACL for Windows main screen, click New Analytic Project. In the Save As dialog box, select a folder to save the project in, enter a file name, and click Save. The new project is created and opened in Analytics.
A project organizes your data analysis projects. There are several kinds of items associated with an ACL project: tables, views, scripts, indexes, logs, and folders. In the Project Navigator, use the Overview tab to organize your project items.
The Project Navigator provides direct visual access to key project information, such as project hierarchy, design files, design units, and IP components.
Description: Audit Command Language (ACL) Analytics is a data extraction and analysis software used for fraud detection and prevention, and risk management. It samples large data sets to find irregularities or patterns in transactions that could indicate control weaknesses or fraud.

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