![]() ![]() Here is the Download link for you – NoxPlayer Website. Step 1: Download and Install NoxPlayer on your PC.Now we will see how to Download SQLPro Studio database client for PC Windows 11 or 10 or 8 or 7 laptop using NoxPlayer. It is super flexible, fast and exclusively designed for gaming purposes. NoxPlayer is Android emulator which is gaining a lot of attention in recent times. Method 1: SQLPro Studio database client Download for PC Windows 11/10/8/7 using NoxPlayer Here we will show you how to install and use the two emulators above to run Android and iOS applications on Windows and MAC computers. Any unused portion of a free trial period, if offered, will be forfeited when the user purchases a subscription to that publication, where applicable.Ĭurrently, the demand for using applications for Android and iOS on computers is great, so there have been many emulators born to help users run those applications on their computers, outstanding above all Bluestacks and NoxPlayer.Subscriptions auto-renew within 24 hours of the expiration date unless auto-renewal is turned off in the iTunes account settings.SQLPro requires a Premium upgrade in order to interact with database result sets. SQLPro Studio supports the following database servers: + SSH Tunnelling (password and private key authentication). + Context aware database tree navigation, including quick access to tables, views, columns, indexes and much more! + Tabbed based interface for an optimal user experience (iPad). + Syntax highlighting with customizable themes (including dark). SQLPro Studio is the premium database client and management tool for Postgres, MySQL, Microsoft SQL Server and Snowflake databases.We will use the BY statement to reshape and group the data by these cities (Subsidiaries).What's Cool This new data set contains both the shoes’ sales from Johannesburg as well as from Nairobi. To illustrate how to use the BY statement we create a new data set. If not, you need to sort the data first or add the keyword NOTSORTED to let SAS know that the data is not sorted. SAS won’t transpose the variables that are mentioned in the BY statement.īy default, SAS assumes that the data you want to transpose is sorted by the variables mentioned in the BY statement. With the BY statement, you can define groups of data that must be transposed. The last statement of the transpose procedure we will discuss is the BY statement. Example 3: The PROC TRANSPOSE Statements (BY) Lastly, you can use more than one variable in the ID statement. It is also possible to combine the ID statement with the PREFIX option. If it is a numeric variable, then an underscore “_” is added at the beginning of the variable name automatically. The column you use in the ID statement can be a numeric or character variable. If the variable used in the ID statement contains special characters or blanks, SAS replaces them with an underscore (Women_s_Dress). Use the ID statement of PROC TRANSPOSE to use column values as new column names.Īs you can see in the image above, we used the ID statement to give the columns the names of the product (Boot, Sandal, etc.). Finally, with the OUT option, we specify the name of the output data set as “SHOES_JOBURG_TRNS”. We use the PREFIX option to name the new columns “PRODUCT1”, “PRODUCT2”, etc. With the code below we change the _NAME_ column to “VAR_NAME” and the _LABEL_ column to “VAR_LABEL”. ![]() If you don’t use the OUT option, SAS will create an output data set with a default name. OUT: With the OUT option you can specify the name of the transposed table.Later on, we will explain how to do this. However, the number in the column name won’t be changed. PREFIX: With the PREFIX option you can change the “COL” part of the newly created columns. ![]() LABEL: With the LABEL option you can modify the name of the _LABEL_ variable.NAME: With the NAME option you can change the name of the _NAME_ variable. ![]() Like many other SAS procedures, the transpose procedure has options too. Next, we will show how to give the new columns more meaningful names. The rows that are transposed to columns are named COL1, COL2, etc. It has created the columns _NAME_ and _LABEL_, which contain the original column names and its labels. As the image above shows, SAS has transposed the numeric columns Sales and Inventory. ![]()
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