Alteryx File Types | Types and methods of Alteryx File Types


Introduction To The Alteryx :

Alteryx is one of the popular self-service data Analytical tools. This helps the business users to build their data workflows quickly and faster preparation of data blending without any programming skills. We can perform many tasks using Alteryx such as drag, a drop of workflow, and cleaning of data. These tasks enable business users to produce the data output quickly and effectively by analyzing the data input. Alteryx is an American computer software company based in California with a development center in Broomfield, Colorado. These company products are mainly used for data science and Analytic purposes.

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Alteryx File Types :

There are four major Alteryx data types available they are;

  • Alteryx workflow.
  • Alteryx data files.
  • Special files.
  • License files.

Let us know each file type in detail ;

Alteryx workflow types:

Below are the important Alteryx workflow data types, they are;

  1. yxmd (workflow)
    An Alteryx workflow defines the repeatable workflow process and has a file extension of .yxmd. All of the inputs, outputs, and tool configurations are saved within a single Alteryx workflow so that it is easy for users to open and run the Workflow multiple times. 
  2. yxwg (Workflow group)
    A workflow group defines the multiple workflows that you can save and open multiple files as one file at a time. With the help of this workflow group, extension file type you can create already existing, and locally-saved workflows.
  3. yxmc (macro)
    A macro is a type of workflow group file type that you can run as a single tool within another workflow. With the macro-design settings, a developer can easily specify the parameters so a user has multiple options to configure the workflow from a single available tool.  To configure this workflow macro data type, go to the workflow properties -> select the option “window change” -> then choose the macro data type to proceed with further operations.
  4. yxwz (Analytic app)
    With the help of this Analytic app data type, a developer can create application designs to run a few applications in the Alteryx environment. The developers are able to create an alteyrx, specify a series of parameters that defines the user environment, and the original design workflow is updated with the user’s specification. Access Analytical application from a web browser if it is saved to the Gallery – or via a server or desktop installation. Always make use of the analytical application design settings to specify the parameters, so that enables users to have multiple options to configure the workflow from a customer user interface.
  5. yxzp (packaged workflow)
    A.yxzp is a workflow package that consists of all the workflow file types such as .yxmd, .yxmc, or .yxwz. All the dependencies of the workflow data types are zipped into a single file. You can import this file into Alteryx which ensures that users can easily distribute and share workflows with users.
  6. yxi (packaged tool)
    A .yxi file is a package that includes only the Alteryx packages and all the dependencies are zipped into a single file. When you install this file in the Alteryx designer from any external source such as the Alteryx public gallery (extension is gallery. Alteryx. com), then the tool will be added to the palette that defines the categories. The .yxi data type is installed in:

           \Users\USERNAME\AppData\Roaming\Alteryx\Tools\

            Administrators can optionally choose to install a .yxi tool for all the users, in which case the tool is installed in:

           \programData \Alteryx\ Tools.

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Alteryx data files :

Below are the important Alteryx data files:

  1. yxdb (Alteryx database)
    The Alteryx database is a kind of file type that contains data fields, values, and spatial objects. This type of file type is the more efficient file type for reading and writing in Alteryx because there is no zero limit to access the file, it is compressed for maximum speed, and also holds additional metadata that referred to the source of the data and how the data was created. 
  2. cydb (Calgary database)
    The Calgary database is a data type that uses the indexing methodology to quickly retrieve records. A database index is a file structure that improves the data speed and retrieval operations on a database table. Indexes in the data table can be created that provides the basis for rapid random lookups and efficient access of ordered record. There is a 2^31 limit on the number of records in a Calgary database. This type of database is designed for around 100-300 million records.
  3. cyidx (Calgary Index)
    The Calgary index is a dependency for a Calgary database (.cydb) when this file type is written, an index file is created for each field of the database. The index makes it possible to quickly retrieve the data records that are based on specific queries that are generally configured by the users.

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Special files

  1. yxwv (App values)
    This is a type of .xml file type that consists of the values and syntax that will update a data analytic app. Some data analytic apps have a lot of configuration options and users want to save their specifications to reuse them again and again. This file type cannot be encrypted and any password that you have stored is clear text.  .yxwv file helps to populate the Alteryx application interface each time you run the Analytic application. It is also possible to open and save .yxmv from the Alteryx analytic application interface. 
  2. yxft (field type)
    The Alteryx field type is a text file that gives you the complete configuration description. Once saved, the field type file (.yxft) can be loaded via the select tool or any tool that is embedded with it.
  3. bak (backup copy of a workflow)
    A backup file is created as soon as the workflow is edited and saved. This .bak file is the workflow in the state prior to the most recent save. If you have created the .bak file in the same directory and saved it within the same name.
  4. pcxml (composer file)
    A .pcxml (composer file) is a type of XML file that contains a proprietary language used by Alteryx for reporting purposes. Alteryx application can read and render a .pcxml file for reporting the output. But sometimes users cannot use this type of file instead they can create report snippets. 
  5. log (log files)
    Log files are created when an alteryx engine or a core component of the Alteryx engine that throws a fatal error. The log file holds a piece of information about where or when the error has occurred. 

           The log files are written in the following directory:

           C:\Users\username\AppData\Local\Alteryx\ErrorLogs\APPLICATION_NAME

           The following error message produces the log file:

            An unhandled exception error occurred.
            You have found a bug or ticket.

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License file type

The license file types help you to generate the activation file with the given user email id. 

The following are the primary license file types that are used commonly.

  1. yxlc
  2. slc
  3. cylc
  4. alc
  5. gzlc 

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Final Thought :

Learning Alteryx fundamental concepts will expedite a data virtualization career. The data analytics market is booming like a rocket. This is because our day-to-day activities depend on the data we consume. Alteryx is a popular data analytic and data visualization tool among other data analytic platforms. In this Alteryx file type, we have listed 4 major types which you can use as per your requirements. Along with these file types, Alteryx is famous for its one more benefit that makes it unique from other data analytic platforms that is the “ETL” function. It’s always good to upgrade yourself with the core concepts of the tools that always help you to stand out from the crowd.

Related Article

1. Alteryx Tools
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Recent Reviews


Comparing the columns in Excel is a powerful way for analysing and understanding data and can help us in identifying the patterns and trends that we may not be able to find out through manual inspection. Using Excel formulas and techniques we can quickly and easily compare columns and gain insights that can help us in making better decisions. There are several ways to compare two columns in Excel. By using formulas like IF, COUNTIF, INDEX/MATCH and VLOOKUP. But before we compare we need to understand the type of data you are working with, like whether it is a numeric, text or date/time data. This will help you to choose the suitable tool or technique to compare it. For example if you are working with text data, you can use the IF function to compare and find the matching and non-matching entries. If you are working with numeric data, you may use a function like COUNTIF function to count the number of matching entries.

Methods to compare two columns in excel:

1. Using Equal operator

One of the simplest ways to compare values in two columns in Excel is using an equal operator. Let us understand how we can compare two columns using equal operators with an example.

  • First select a cell where you want to write the result
  • Then type “=” sign
  • Select the value in the first column which you want to compare then write “=” and select the value in another column and 
  • Hit the enter button


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2. Using Conditional formatting:

a) Comparing two columns to highlight the duplicate values in the columns:

It is a feature in Excel that will highlight cells in one column that match/do not match with another column. To highlight the cells that have same values follow the below steps:

1. Select the two columns you want to compare.

2. Then go to the home tab and select the conditional formatting option.

3. Select the option Highlight cells Rules, then click on duplicate values option


4. Duplicate values dialogue box appears on the screen. Select an option from the dialogue box how the duplicate values must look like. In this Example I have chosen Green fill with dark green text. You can choose any option you like and click ok.

5. Then the duplicate text will be highlighted with green colour with dark green text

b) Comparing two columns to highlight the Unique values in the columns:

Now to highlight the cells that have different values follow the below steps:

  1. Select the two columns you want to compare.
  2. Then go to the home tab and select the conditional formatting option.
  3. Select the option Highlight cells Rules, then click on duplicate values option
  4. Duplicate values dialogue box appears on the screen. Select an option Unique instead of Duplicate from the dialogue box and also how the duplicate values must look like. In this Example I have chosen Light Red fill with dark Red text. You can choose any option you like and click ok.
  5. Then the unique text will be highlighted with light Red colour with dark Red text

 

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3. Using Formulas

Excel offers a number of Formulas to compare the cells in two columns. Let us go through them one by one.

a) IF:

It allows you to compare two cells in two columns and will return the result based on the condition we provide. Let us understand how to use the IF formula to compare the values in two columns with an example.

  1. First select a cell where you want to write the result
  2. Then type “=” sign
  3. Type IF and open bracket “( and write the condition and put a comma. Then write the value to be displayed if the condition is true in inverted commas and put a comma, and then write the value to be displayed if the condition is false in inverted commas.
  4. Close the bracket “)” and hit the enter button


b) COUNTIF:

We can use this formula to compare the two columns and count the number of cells that are the same or different. Let us understand how to use the COUNTIF formula to compare the values in two columns with an example.

  1. First select a cell where you want to write the result
  2. Then type “=” sign
  3. Type COUNTIF and open bracket “(“ and select the range, put a comma and select the range from another column to compare it
  4. Close the bracket “)” and hit the enter button


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c) MATCH:

We can use the match function to compare two columns and find the position of a value in one column that matches with the value in another column. Let us understand how to use the MATCH formula to compare the values in two columns with an example.

  1. First select a cell where you want to write the result
  2. Then type “=” sign
  3. Type MATCH and open bracket “(“ and select the cell which you wanted to compare, put a comma and select the range from another column to compare, put a comma and write 0 to get exact match
  4. Close the bracket “)” and hit the enter button


d) VLOOKUP:

We can use the VLOOKUP function for comparing two columns and return a value if there is a match. Let us understand how to use the VLOOKUP formula to compare the values in two columns with an example.

  1. First select a cell where you want to write the result
  2. Then type “=” sign
  3. Type VLOOKUP and open bracket “(“ and select the cell which you wanted to compare, put a comma and select the range from another column to compare, put a comma and write 2 to return the value from the second column of the range – if a match is found, put a comma and write FALSE to get exact match
  4. Close the bracket “)” and hit the enter button

 

Conclusion:

In this blog, We have discussed different ways to compare two columns in Excel with examples. We hope you found this information useful. For more information on Excel stay tuned.



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