Advanced XLS Converter Free Activate

01.09.2021 3 Comments

Advanced XLS Converter Free Activate

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In Excel, you can change the macro security settings to control which macros run and under what circumstances when you open a workbook. For example, you might allow macros to run based on whether they are digitally signed by a trusted developer.

For more information about macro security settings in Microsoft Office documents, see Enable or disable macros in Office files.

The following list summarizes the various macro security settings. Under all settings, if antivirus software that works with Microsoft Office is installed and the workbook contains macros, the workbook is scanned for known viruses before it is opened.

  • Disable all macros without notification Click this option if you don't trust macros. All macros in documents and security alerts about macros are disabled. If there are documents that contain unsigned macros that you do trust, you can put those documents into a trusted location. Documents in trusted locations are allowed to run without being checked by the Trust Center security system.

  • Disable all macros with notification This is the default setting. Click this option if you want macros to be disabled, but you want to get security alerts if there are macros present. This way, you can choose when to enable those macros on a case by case basis.

  • Disable all macros except digitally signed macros This setting is the same as the Disable all macros with notification option, except that if the macro is digitally signed by a trusted publisher, the macro can run if you have already trusted the publisher. If you have not trusted the publisher, you are notified. That way, you can choose to enable those signed macros or trust the publisher. All unsigned macros are disabled without notification.

  • Enable all macros (not recommended, potentially dangerous code can run) Click this option to allow all macros to run. Using this setting makes your computer vulnerable to potentially malicious code and is not recommended.

  • Trust access to the VBA project object model    This setting is for developers and is used to deliberately lock out or allow programmatic access to the VBA object model from any Automation client. In other words, it provides a security option for code that is written to automate an Office program and programmatically manipulate the Microsoft Visual Basic for Applications (VBA) environment and object model. This is a per user and per application setting, and denies access by default. This security option makes it more difficult for unauthorized programs to build "self-replicating" code that can harm end-user systems. For any Automation client to be able to access the VBA object model programmatically, the user running the code must explicitly grant access. To turn on access, select the check box.

Office uses Microsoft Authenticode technology to enable macro creators to digitally sign a file or a macro project. The certificate that is used to create this signature confirms that the macro or document originated from the signer, and the signature confirms that the macro or document has not been altered.

After you install your digital certificate, you can sign files and macro projects.

Obtaining a digital certificate for signing

You can obtain a digital certificate from a commercial certificate authority (CA), or from your internal security administrator or information technology (IT) professional.

To learn more about certificate authorities that offer services for Microsoft products, see the list of Microsoft Root Certificate Program Members.

Creating your own digital certificate for self-signing

You can also create your own self-signing certificate by using the Selfcert.exe tool.

Note: Because a digital certificate that you create isn't issued by a formal certificate authority, macro projects that are signed by using such a certificate are referred to as self-signed projects. Microsoft Office trusts a self-signed certificate only on a computer that has that certificate in your Personal Certificates store.

For more information about how to digitally sign a macro, see Digitally sign a macro project.

Change macro security settings

You can change macro security settings in the Trust Center, unless a system administrator in your organization has changed the default settings to prevent you from changing the settings.

  1. On the Developer tab, in the Code group, click Macro Security.

    Developer tab on the ribbon

    To enable the Developer tab, see Show the Developer tab.

  2. In the Macro Settings category, under Macro Settings, click the option that you want.

    Note: Any changes that you make in the Macro Settings category in Excel apply only to Excel and do not affect any other Microsoft Office program.

You can also access the Trust Center in Excel Options. To do that, click Options (Excel 2010 to 2016 versions) or Microsoft Office ButtonOffice button image (Excel 2007), and then click Trust Center > Trust Center Settings > Macro Settings.

For more information about macro security, see the following topics:

Troubleshooting

I can’t change my macro security settings

Some users may not be able to change Trust Center settings due to group security policies in their organizations. In such cases, you need to contact the IT administrator for your organization.

What happened to the Very High, High, Medium, and Low security settings?

Excel 2003 setting

Excel 2007/2010/2013/2016 equivalent

Additional information

Very High

Disable all macros without notification

In Excel 2003, VBA macros can run only if the Trust all installed add-ins and templates option (in Excel 2003, the Trusted Publishers tab in the Security dialog box) is selected and the macros (whether signed or unsigned) are stored in a specific trusted folder on the user’s hard disk.

If not all of these conditions are met, VBA macros cannot run under the Very High security setting in Excel 2003.

High

Disable all macros except digitally signed macros

In Excel 2003, executable files (such as .exe or .com) must be signed by an acknowledged trusted source (that is, they must have a certificate of trust) in order to run. Otherwise, all executables associated with or embedded in documents are automatically disabled without warning the user when those documents are opened.

By default, all Office 2003 programs are installed with macro security set to High.

Medium

Disable all macros with notification

In Excel 2003, users are prompted to enable or disable executables when a document is opened. This level requires the acceptance of a certificate of trust for each executable, which is accepted by adding the certificate to a segment of the computer’s Windows registry.

Subsequent requests to run a macro from a trusted source are automatically accepted (the executable runs without prompting the user).

Low

Enable all macros (not recommended; potentially dangerous code can run)

In Excel 2003, all macros are run without restrictions. This security level does not protect against malicious programs, does not allow for acceptance of certificates of trust, and is not considered secure in general. This level is not recommended.

Need more help?

You can always ask an expert in the Excel Tech Community or get support in the Answers community.

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Источник: https://support.microsoft.com/en-us/office/change-macro-security-settings-in-excel-a97c09d2-c082-46b8-b19f-e8621e8fe373

How to use Excel's Data Model to turn related data into meaningful information

istock-815165952.jpg

Excel can analyze mountains of data, but you might be working too hard if you're not utilizing the Data Model feature to corral it. This feature lets you integrate data from multiple tables by creating relationships based on a common column. The model works behind the scenes and simplifies PivotTable objects and other reporting features. In this article, I'll show you how to create a PivotTable using data from two tables by using the Data Model feature to create a relationship between the two tables before building the PivotTable.

I'm using Excel 2016 on a Windows 10 64-bit system. You can work with your own data or download the demonstration .xlsx file. The Data Model is available in versions 2013 and 2016. Excel 365's browser edition supports PivotTable objects. However, you can't implement the Data Model in the browser.

A simple problem

Now let's suppose you're working for a large grocery franchise and you want to analyze shelving data. You've imported a table of products and each product has a shelving code, which is, meaningless to you. So, you import a table of shelving codes that includes a helpful description, but how do you add the description with each record?

Most of us would use VLOOKUP() to add a column to the original data set. It's what we know, and it works well unless you have thousands of records to analyze. But, even if it slows things down, it still works. Then, you'd most likely use a PivotTable to analyze the data set that now includes the description for each product. Thanks to Excel's Data Model, you can bypass VLOOKUP() altogether and move straight on to the PivotTable.

Excel's Data Model creates a relationship between two (or more) sets of data using a common field. In this case, the common field is Shelf Code, as shown in Figure A. We have two tables: the data table on the left and the lookup table on the right. Using Excel's Data Model feature, we'll display the description field instead of the shelf code when grouping and analyzing the values without using VLOOKUP() or any other functions. Displaying the description instead of the shelf code will improve the readability of the final product.

Figure A

exceldatamodela.jpg
Two data sets related by the Shelf Code field.

If you've worked with databases, the term relationship is known to you. If you're unfamiliar with the term, a relationship connects two sets of data by a common column (field) of values. By relating the two data sets, you can combine the data in meaningful ways.

SEE: Tap into the power of data validation in Excel (free PDF) (TechRepublic)

Convert the data to Table objects

You can't create a relationship between ordinary data sets. The Data Model works only with Table objects. The example data sets have been converted already, but you might need to know how to do this. Fortunately, it's easy:

  1. Click anywhere inside the data set.
  2. Press Ctrl+t or click the Insert tab and click Table in the Tables group.
  3. Check or uncheck the My table has headers options. In this case, it does (Figure B).
  4. Click OK.
  5. With the new Table still selected, enter a meaningful name in the Name Box control (to the left of the formula bar (Figure C). Be sure to press Enter. I named the original data set ProduceTable.

Figure B

exceldatamodelb.jpg
Convert the data set into a Table.

Figure C

exceldatamodelc.jpg
Name the Table objects so they're easier to work with.

Repeat the process to convert the lookup values to a Table and name it ShelfCodesTable. With both data sets converted, you're ready to create the relationship between them.

Create the relationship

Once both data sets are Table objects, you can create a relationship between them. To do so, click the Data tab and then click Relationships in the Data Tools group. Currently, there are no relationships, so the dialog will be empty. Click New to begin. In the resulting dialog, click the Table and Related Table dropdowns. You'll find both Table objects listed, as shown in Figure D. (If you're working with a file other than the demonstration file, you might see others listed.)

Figure D

exceldatamodeld.jpg
The Data Model can see both Table objects.

The Table contains the data you want to analyze in some way; the Related Table contains lookup values that will make the reported data more meaningful. It's important to understand what's going on, so let's stop here to review. Our products table contains the data we want to analyze; it's a list of product shelving information by personnel. All the values are repeated. Each person occurs multiple times, each fruit appears multiple times, even the months and shelf codes appear multiple times. The lookup table is the smaller table that contains unique rows. Each row contains a shelf code and a description. This table contains no repeated values. Each shelf code occurs only once in the lookup table, but it can occur multiple times in the produce data set.

The common column is the Shelf Code column; we'll use both columns to relate the two Table objects. To create the relationship, choose ProduceTable from the Table dropdown and ShelfCodesTable from the Related Table dropdown.

Next, use the Column (Foreign) and Related Column (Primary) dropdowns to identify the columns that relate the Table objects--Shelf Code. Figure E shows the selected tables and columns.

Figure E

exceldatamodele.jpg
Set the tables and related columns in the relationship.

The column settings require a bit of explanation. Column (Foreign) defines the column in the produce table, where values can be duplicated. Related Column (Primary) defines the column in the lookup data set, where values are unique. The two columns will contain the same values. In a nutshell, we're looking up a value in the lookup data set to display with the produce records.

Once you select all four settings, you're ready to move on, so click OK and then Close. Excel creates the relationship behind the scenes, and it might take a few seconds. Excel combines the data, based on the Shelf Code field, in the Data Model, which contains the data and the relationships, but you won't see it. What's important to note at this point, is that the Data Model solution requires substantially less memory than a sheet full of expressions using the LOOKUP() function! Also, it will perform better in a large workbook. After creating the relationship, Excel will identify those tables as a Data Model Table, not a Worksheet Table in the dropdowns.

To see what Excel did, click Manage Data Model in the Data Tools group. If this option is greyed out, you don't have a supporting version. Don't worry--the benefits of the feature (known as Power Pivot) are still available, but you can't view the combined tables. If it's the first time you've used the feature, you might need to enable the Data Analysis add-in by clicking Enable when prompted.

Initially, the results are the same as the original data set, or ProduceTable. If you click Diagram View in the View group, you'll see a diagram of the one-to-many relationship between the two Table objects, as shown in Figure F. Now you can create a PivotTable based on the new relationship. Close the Power Pivot window to continue.

Figure F

exceldatamodelf.jpg
The asterisk identifies the many side; the 1 identifies the one side.

Create the PivotTable

Now you're ready to create a PivotTable that evaluates both Table objects. Click the Insert tab and then click PivotTable in the Tables group. If you're familiar with PivotTables, you might notice a new option: Use this workbook's Data Model. You'll only see this option when a workbook contains relationships. Select this option now, as shown in Figure G. Select the New Worksheet option, and then click OK to continue.

Figure G

exceldatamodelg.jpg
Use the Data Model to create a PivotTable.

The PivotTable Fields pane will display both Table objects. Notice the bold line at the top of the table icon? That means the table is part of a relationship, and hence in the Data Model. If that border is empty, the Table isn't part of a relationship.

Now, lets create a PivotTable that counts the number of times each person shelved items (it's a contrived example, but it's simple and doesn't add unnecessary steps). Expand the produce table and drag Personnel and Shelf Code to Rows, Month to Columns, and Shelf Code to Values, as shown in Figure H. (Excel will default to a count.) On the Design tab, I chose Light Blue, Pivot Style Light 9 to distinguish the data from the labels.

Figure H

exceldatamodelh.jpg
Create the simple PivotTable.

As you can see, those shelf codes are meaningless--to most of us anyway. Here's where the Data Model magic comes into play. Remove the Shelf Code field from the Rows section. Then, expand ShelfCodesTable in the upper pane and drag the Description column to the Rows section. As you can see in Figure I, you now see meaningful descriptions that make sense!

Figure I

exceldatamodeli.jpg
Display descriptive labels instead of meaningless codes.

Once you get the hang of it, you won't need to replace columns as we just did. That tiny bit of drama was solely for effect!

Potential

At first, it seems like you've simply traded chores--creating a relationship instead of adding the VLOOKUP() function, but that's because the example is simple. Once the relationship exists, you can use it in any number of ways. Trust me, once you apply it in the real-world situation, you will realize the value of having the relationship in place.

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Also see:

Источник: https://www.techrepublic.com/article/how-to-use-excels-data-model-to-turn-related-data-into-meaningful-information/

Convert XLSX to XLS

Microsoft Excel has two main spreadsheet file formats: older XLS and newer XML-based XLSX first introduced in Excel 2007. Of course, in general the latter is a more advanced way to store spreadsheet data. However, older versions of Microsoft Office have difficulties reading this format. Plus, many third-party software especially older ones also prefer XLS document format. Therefore, converting XLSX to XLS is a demanded task. The obvious solution for the problem is to use Advanced XLS Converter – an all-in-one tool to convert XLSX to XLS and many other formats too. Unlike free online conversion utilities, Advanced XLS Converter works with XLSX documents of any complexity and size and converts them to XLS smoothly and totally error-free. How is that?

Instant-speed XLSX to XLS conversion

The core of Advanced XLS Converter is a multi-threaded direct read engine that processes XLSX files with enormous speed and accuracy. It reads the entire contents of the source XLSX file and recreates a corresponding structure in the XLS default Excel document. Conversion is extremely quick and universal. “Direct read” means the tool uses a low-level data processing which is both fast and library independent. Therefore, an installed copy of MS Office is not required.

Customizable conversion

Sometimes, the task is more complex then merely transfer data “as is” to the older Excel format. You may need to adjust settings, select columns or filter out unnecessary data. With Advanced XLS Converter you can do this in the most natural and effortless way. Advanced wildcard filters, sorting and custom selection of data to convert allow you to back-migrate to XLS files having much more freedom. And the ability to Advanced XLS Converter Free Activate conversion from the command line provides for automated conversion of XLSX files to XLS.

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XLSX to XLS conversion via Command Line

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February 11, 2019

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Advanced XLS Converter screenshotAdvanced XLS Converter offers the easiest, quickest, and inexpensive way to convert XLS (Excel) documents to a large variety of database formats, including TXT, DBF, XML, HTML, SQL, CSV, RTF - all with just some clicks of the mouse.

The software does not require Microsoft Excel.

It's Easy

Advanced XLS Converter is a fast and easy program for transform XLS right out of the box. You have the document in the new format in just a few seconds or less. Convert Office RTF format, XLS to DBF, or HTML for posting the database to the intranet or Web.

It's Quick

Exclusive to Advanced XLS Converter is a very fast conversion algorithm that has been enhanced to handle big XLS files quickly, without interruptions and slowdowns. And not only single documents, it will handle batches of XLS files at the same time in one quick go!

It's Smart

Advanced XLS Converter is intelligent. Preceding to conversion, you can preview the uploaded document, size, sort data by columns, edit name, use filters, type of columns and set the software to skip duplicates.

It's Powerful

Convert XLS to more than 10 file types, Visual FoxPro, including Dbase III/IV, text files, Clipper/Foxpro PRG, HTML, RTF Excel, CSV, XML, SQL.

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- Convert Excel(XLS) files into XML, DBF, SQL, CSV, RTF, SDF, PRG, and HTML formats
- Visually build complex date filtering rules.
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  • Allows you to convert XLS files to a wide variety of file formats.
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Old Versions

Источник: https://www.download82.com/download/windows/advanced-xls-converter/

Microsoft quietly replaced the comfortable Text Import Wizard from Excel and replaced it with the “Get & Transform” tools. The “Get & Transform” tools offer a lot of options and are very powerful. Unfortunately, they are quite complicated to use. Here is what you should now.

In a hurry? Click on “File” –> “Options” –> “Data” and set the corresponding checkmarks for reactivating the “Text Import Wizard” in Excel. Start the text import by clicking on “Data” –>”Get Data” –> “Legacy Wizards” –> “From Text (Legacy)”.

Contents

Introduction

In Excel 365 (only) 2016 (since version 1704) the “Text Import Wizard” was removed. It was replaced by the powerful “Get & Transform” tools. The “Get & Transform” tools also provide a function to import text and CSV files into Excel.

You have the following two options:

  1. Luckily, the comfortably “Text Import Wizard” still exists. You can re-activate and use it for importing text and csv files into Excel.
  2. Use the import Advanced XLS Converter Free Activate of the “Get & Transform” tools.

Restore the “Text Import Wizard”

re-activate, restore, activate, show, use, text, import, wizard

The good news: You can easily restore the “Text Import Wizard”. Unfortunately, the option for re-activating them is hidden.

Follow these steps:

  1. Click on File and then on “Options”. Go to “Data” on the left-hand side.
  2. In the lower section of the window you can select the wizard you’d like to restore. For only importing text- or csv-files, select “From Text (Legacy)”. Feel free to also activate the corresponding wizard for importing Access files, files from web, from SQL servers and so on.
  3. Confirm with OK.

Now, you can find the so-called “Legacy Wizards” in the “Get Data” drop-down menu. In order to use them, follow these steps:

  1. Go to the “Data” ribbon.
  2. Click on “Get Data” on the left-hand side.
  3. Next, go to “Legacy Wizards”.
  4. Click on “From Text (Legacy)”.

How to use the “Text Import Wizard”

steps, text, import, wizard, excel

The steps for using the “Text Import Wizard” in Excel are shown in the screenshots.

  1. Go to the “Data” ribbon and click on “From Text”. If you have a recent Excel version and there is no button called “From Text” (but instead “From Text/CSV”), click on “Get Data”, then on “Legacy Wizards” and then on “From Text (Legacy)”. Please refer to the paragraph above if this option is missing.
  2. Select how you want to define the columns: Either with a character as a separator or with a fixed width.
  3. If the first row contains headers, check the corresponding box.
  4. Continue with “Next >”.
  5. Select the delimiter. This is the character dividing the data into columns, for example “Tab”, “Semicolon” or “Comma”.
  6. Usually text fields use quotation marks marking the beginning and end of a text field.
  7. For each column, you can choose the data format. For dates, you could define the order of days, months and years.
  8. Click on “Advanced”…
  9. …for defining decimals and thousands separators.
  10. Finalize the import by clicking on “Finish”.

Import text and csv files with the “Get & Transform” tools

Importing text files in Excel with the “Get & Transform” tools requires many steps. Please refer to the numbers on the screenshots:

  1. Click on “From Text/CSV” on the “Data” ribbon in order to start the import process.
  2. Choose the delimiter (e.g. semi-colon, comma etc.). Here you can also switch to “Fixed Width”. If you want to separate your import data with the “Fixed Width” option, you have to type the numbers of characters, after which you want to data to be divided.
  3. For further options (e.g. switching thousands- and decimal separators) click on “Edit”.
  4. If you data is not represented correctly, delete the automatically created step “Changed Type”.
  5. Change the date format: Right-click on a column that contains a date. Alternatively click on the small “ABC” symbol in the top left corner of the column heading.
  6. Move the mouse to “Change Type”.
  7. Click on “Using Locale…”.
  8. Select “Date”.
  9. Select the locale format for dates. In this example, the German date format is used.
  10. Confirm with OK. Repeat the Advanced XLS Converter Free Activate 5 to 10 for each date column.
    Recommendation: Select several date columns at the same time by pressing and holding the Ctrl key while selecting the columns.
  11. Change the decimal and thousand separators: Right-click again on a column with decimal numbers.
  12. Move the mouse to “Change Type”.
  13. Click on “Using Local…”.
  14. Choose “Decimal Number”.
  15. Select the local number format. Please refer to this article for a list of local number formats.
  16. Confirm with “OK”.
  17. Last step: Insert the data into a worksheet. In order to achieve this, click on “Close & Load” in the top-left corner.

Also interesting:

Henrik Schiffner is a freelance business consultant and software developer. He lives and works in Hamburg, Germany. Besides being an Excel enthusiast he loves photography and sports.

View all of Henrik Schiffner's posts.
Источник: https://professor-excel.com/import-csv-text-files-excel/

How to use Excel's Data Model to turn related data into meaningful information

istock-815165952.jpg

Excel can analyze mountains of data, but you might be working too hard if you're not utilizing the Data Model feature to corral it. This feature lets you integrate data from multiple tables by creating relationships based on a common column. The model works behind the scenes and simplifies PivotTable objects and other reporting features. In this article, I'll show you how to create a PivotTable using data from two tables by using the Data Model feature to create a relationship between the two tables before building the PivotTable.

I'm using Excel 2016 on a Windows 10 64-bit system. You can work with your own data or download the demonstration .xlsx file. The Data Model is available in versions 2013 and 2016. Excel 365's browser edition supports PivotTable objects. However, you can't implement the Data Model in the browser.

A simple problem

Now let's suppose you're working for a large grocery franchise and you want to analyze shelving data. You've imported a table of products and each product has a shelving code, which is, meaningless to you. So, you import a table of shelving codes that includes a helpful description, but how do you add the description with each record?

Most of us would use VLOOKUP() to add a column to the original data set. It's what we know, and it works well unless you have thousands of records to analyze. But, even if it slows things down, it still works. Then, you'd most likely use a PivotTable to analyze the data set that now includes the description for each product. Thanks to Excel's Data Model, you can bypass VLOOKUP() altogether and move straight on to the PivotTable.

Excel's Data Model creates a relationship between two (or more) sets of data using a common field. In this case, the common field is Shelf Code, as shown in Figure A. We have two tables: the data table on the left and the lookup table on the right. Using Excel's Data Model feature, we'll display the description field instead of the shelf code when grouping and analyzing the values without using VLOOKUP() or any other functions. Displaying the description instead of the shelf code will improve the readability of the final product.

Figure A

exceldatamodela.jpg
Two data sets related by the Shelf Code field.

If you've worked with databases, the term relationship is known to you. If you're unfamiliar with the term, a relationship connects two sets of data by a common column (field) of values. By relating the two data sets, you can combine the data in meaningful ways.

SEE: Tap into the power of data validation in Excel (free PDF) (TechRepublic)

Convert the data to Table objects

You can't create a relationship kaspersky crack 2019 - Crack Key For U ordinary data sets. Advanced XLS Converter Free Activate Data Model works only with Table objects. The example data sets have been converted already, but you might need to know how to do this. Fortunately, it's easy:

  1. Click anywhere inside the data set.
  2. Press Ctrl+t or click the Insert tab and click Table in the Tables group.
  3. Check or uncheck the My table has headers options. In this case, it does (Figure B).
  4. Click OK.
  5. With the new Table still selected, enter a meaningful name in the Name Box control (to the left of the formula bar (Figure C). Be sure to press Enter. I named the original data set ProduceTable.

Figure B

exceldatamodelb.jpg
Convert the data set into a Table.

Figure C

exceldatamodelc.jpg
Name the Table objects so they're easier to work with.

Repeat the process to convert the lookup values to a Table and name it ShelfCodesTable. With both data sets converted, you're ready to create the relationship between them.

Create the relationship

Once both data sets are Table objects, you can create a relationship between them. To do so, click the Data tab and Advanced XLS Converter Free Activate click Relationships in the Data Tools group. Currently, there are no relationships, so the dialog will be empty. Click New to begin. In the resulting dialog, click the Table and Related Table dropdowns. You'll find both Table objects listed, as shown in Figure D. (If you're working with a file other than the demonstration file, you might see others listed.)

Figure D

exceldatamodeld.jpg
The Data Model can see both Table objects.

The Table contains the data you want to analyze in some way; the Related Table contains lookup values that will make the reported data more meaningful. It's important to understand what's going on, so let's stop here to review. Our products table contains the data we want to analyze; it's a list of product shelving information by personnel. All the values are repeated. Each person occurs multiple times, each fruit appears multiple times, even the months and shelf codes appear multiple times. The lookup table is the smaller table that contains unique rows. Each row contains a shelf code and a description. This table contains no repeated values. Each shelf code occurs only once in the lookup table, but it can occur multiple times in the produce data set.

The common column is the Shelf Code column; we'll use both columns to relate the two Table objects. To create the relationship, choose ProduceTable from the Table dropdown and ShelfCodesTable from the Related Table dropdown.

Next, use the Column (Foreign) and Related Column (Primary) dropdowns to identify the columns that relate the Table objects--Shelf Code. Figure E shows the selected tables and columns.

Figure E

exceldatamodele.jpg
Set the tables and related columns in the relationship.

The column settings require a bit of explanation. Column (Foreign) defines the column in the produce table, where values can be duplicated. Related Column (Primary) defines the column in the lookup data set, where values are unique. The two columns will contain the same values. In a nutshell, we're looking up a value in the lookup data set to display with the produce records.

Once you select all four settings, you're ready to move on, so click OK Advanced XLS Converter Free Activate then Close. Excel creates the relationship behind the scenes, and it might take a few seconds. Excel combines the data, based on the Shelf Code field, in the Data Model, which contains the data and the relationships, but you won't see it. What's important to note at this point, is that the Data Model solution requires substantially less memory than a sheet full of expressions using the LOOKUP() function! Also, it will perform better in a large workbook. After creating the relationship, Excel will identify those tables as a Data Model Table, not a Worksheet Table in the dropdowns.

To see what Excel did, click Manage Data Model in the Data Tools group. If this option is greyed out, you don't have a supporting version. Don't worry--the benefits of the feature (known as Power Pivot) are still available, but you can't view the combined tables. If it's the first time you've used the feature, you might need to enable the Data Analysis add-in by clicking Enable when prompted.

Initially, the results are the same as the original data set, or ProduceTable. If you click Diagram View in the View group, you'll see a diagram of the one-to-many relationship between the two Table objects, as shown in Figure F. Now you can create a PivotTable based on the new relationship. Close the Power Pivot window to continue.

Figure Advanced XLS Converter Free Activate src="https://www.techrepublic.com/article/how-to-use-excels-data-model-to-turn-related-data-into-meaningful-information/" alt="exceldatamodelf.jpg">

The asterisk identifies the many side; the 1 identifies the one side.

Create the PivotTable

Now you're ready to create a PivotTable that evaluates both Table objects. Click the Insert tab and then click PivotTable in the Tables group. If you're familiar with PivotTables, you might notice a new option: Use this workbook's Data Model. You'll only see this option when a workbook contains relationships. Select this option now, as shown in Figure G. Select the New Worksheet option, and then click OK to continue.

Figure G

exceldatamodelg.jpg
Use the Data Model to create a PivotTable.

The PivotTable Fields pane will display both Table objects. Notice the bold line at the top of the table icon? That means the table is part of a relationship, and hence in the Data Model. If that border is empty, the Table isn't part of a relationship.

Now, lets create a PivotTable that counts the number of times each person shelved items (it's a contrived example, but it's simple and doesn't add unnecessary steps). Expand the produce table and drag Personnel and Shelf Code to Rows, Month to Columns, and Shelf Code to Values, as shown in Figure H. Advanced XLS Converter Free Activate will default to a count.) On the Design tab, I chose Light Blue, Pivot Style Light 9 to distinguish the data from the labels.

Figure H

exceldatamodelh.jpg
Create the simple PivotTable.

As you can see, those shelf codes are meaningless--to most of us anyway. Here's where the Data Model magic comes into play. Remove the Shelf Code field from the Rows section. Then, expand ShelfCodesTable in the upper pane and drag the Description column to the Rows section. As you can see in Figure I, you now see meaningful descriptions that make sense!

Figure I

exceldatamodeli.jpg
Display descriptive labels instead of meaningless codes.

Once you get the hang of it, you won't need to replace columns as we just did. That tiny bit of drama was solely for effect!

Potential

At first, it seems like you've simply traded chores--creating a relationship instead of adding the VLOOKUP() function, but that's because the example is simple. Once the relationship exists, you can use it in any number of ways. Trust me, once you apply it in the real-world situation, you will realize the value of having the relationship in place.

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Источник: https://www.techrepublic.com/article/how-to-use-excels-data-model-to-turn-related-data-into-meaningful-information/
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