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Functions And CALLs | Description |
DIM | No. of Array elements |
HBOUND | Array's Upper bound |
LBOUND | Array's Lower bound |
BAND Function | Logical bitwise AND operation |
BLSHIFT Function | Logical bitwise left shift operation |
BNOT Function | Logical bitwise NOT operation |
BOR Function | Logical bitwise OR operation |
It is a function that helps in extracting a string or even replaces the content of character value.
Under this function there are few characters which are specified in a string. They are then replaced with the other characters which are usually specified.
SAS is the abbreviation of the software called Statistical Analytics System. It includes the best software suite for multivariate analyses, advanced analytics, data management, predictive analysis and business intelligence to name a few. It also offers a graphical point and click solution for the smooth interface. This way it is equally user friendly for the users who are non technical and thus make sure better advanced options are found through SAS language.
SAS is the best platform that you can opt for. Since it is loaded with many benefits, you can enjoy features such as:
Data Access & Management: A user can also use it as DBMS software.
Reporting & Graphics: It can help you in visualizing the analysis in the type of lists, summary and even the graphic reports
Business solution: It offers the business analysis which you can later use as a the business product for different companies to use
Visualization: with this type of tool, it becomes possible to visualize the graphs that range from simple plots till the bar charts and even the complex classification panels.
Analytics: It is also considered to be the leading market leader in analytics for different business products and services.
There are many alternatives for SAS but what makes it unique as compared to others is:
It is used for sorting the SAS data for which variable are set. This way, it becomes possible to set a new data for further usage.
The purpose of using such type of detail is for analysis the elementary at numeric level. It will help you examine how well is the data actually distributed
It is all about adding at the end so that in case of SAS, there can be one more SAS data which you can add and further more other data set can automatically be added.
This type of process is more basically used for analysis the data and ensure that whatever is received is accurate and comes without any kind of single error.
There are two types of functions that are of prime importance which are:
Since these two functions are quite important, it is advised to study well about the same. At times, many people do get confused about the functioning.
It is used for submitting the step of a PROC which is used more specifically in RUN statement. It ends without any kind of process.
There are basically two functions which are used for Character handling functions namely UPCASE and LOWCASE
The variable that is used for scanning functioning is 200
It is more specifically used for process and submitting the PROC step that is used with the RUN statement. It does not end the process at any point of time.
The purpose of Stop statement is to stop the process of the current data on an immediate basis. It also allows resuming the statement of the process once there is an end of the current data step.
If you are not willing to process few of the variables and you don’t even wish them to appear in the new set of the data then you must use specify drop = data set option in that particular set of the statement
But if you want to process some of the variables and don’t wish them to be visible in the new data set then you can also mention drop = data set option in that particular set of the statement
This type of term is used to make sure that the data which is process is grouped, indexed or even ordered based depending upon the variables.
The prime aim of CALENDAR is to make the data of the calendar on monthly basis be visible in the format of the SAS data set.
Generally, KEEP and DROP are used for limiting the variables in the particular dataset
The DROP is the option which states that SAS comes under which variable if you want to actually drop. If you want to place it on the statement of the SET, there is SAS drop which falls down the specified valuable when the input data becomes valuable. But if you place the DROP option on the DATA statement, the SAS drop down the selective variables when it writes down the output set of the data.
Under the KEEP section it becomes,
Moving on to the next section that comes if KEEP. It allows you to understand the SAS is available which you would want to keep. If you want to place the option of KEEP with that of the SET statement, then SAS keeps the listed available while it reads out the data set stored at the input. However, if you put the KEEP option within the DATA statement, you can use the specified variables when it write-downs the output data set.
The OPTIONS OBS=0 at the beginning of the code needs to be written but if you want to execute the same then there will be a log which gets detected by the colors that gets highlighted.
The main difference is that while reading an existing data set with the SET statement, SAS retains the values of the variables from one observation to the next. Whereas when reading the data from an external file, only the observations are read. The variables will have to re-declared if they need to be used.
Under the PROC MEANS there is a subgroup statist which is created only when there is a BY statement that is being used and the input data is previously well sorted out with the help of BY variables.
Under the PROC SUMMARY, there is a statistics which gets produced automatically for all the subgroups. It gives all sort of information that runs altogether. It would get the best sorting of the data set which is then produced with the help of the variables that significantly defines every subgroup and runs the PROC MEANS.
Under the PROC SUMMARY section, the information in the output does not get created. At such time, you will have to use the OUTPUT statement for creating a new DATA SET and then use PROC PRINT to make sure the computed statics is visible
You can take the valuable value PayRate which starts with a dollar sign ($). When the SAS converts the PayRate automatically to the numeric value, the value gets converted.
Furthermore, there is also the dollar sign which further blocks the process. The value then cannot get converted into the numeric one.
That is why it is always advised to include the PUT and INPUT functions in the programs when the conversion takes place.
Substr, Scan, Catx, trim, Index, find, tranwrd, and Sum.
The replacement or the removal if the occurrence of a pattern or the characters within the character string is done with the TRANWRD function
SAS comes with two types of data which is numeric and character. Other than this, dates are also the part of the characters even if there are some functions to work as per the dates.
The central to every data set is the data itself. In SAS, the data is available in form of tabular manner where there are some of the variables that occupy the column space and also the row space gets occupied with the observation section.
The numbers are treated by SAS as the numeric data while other things come under the character data. This is the main reason why SAS comes with two types. If you take an example, SAS date is the numerical value which is equivalent to the days from the 1st of January, 1960
It focuses on Character String Matching to allocate the free memory
CALL PRXCHANGE routine helps to perform the pattern matching replacement
The focus of such function is to search the character string and return it soon after it is found
When there is a numeric or the character value that is specified, it is will be assigned or categorized under the missing values. For this, the use of CALL MISSING routine is made. There is no hard and fast rule for using it. Once you start using it, you get the far better clear idea on the same.
SAS - A Statistical Analysis System, that has an integrated suite of software solutions. It is a software suite for advanced analytics, multivariate analyses, business intelligence, data management and predictive analytics.
Base SAS is a text-based, basic IDE with an older interface. Enterprise Guide (EG) is a more GUI-like IDE with wizards to assist with writing code for various processes.
SUBSTR Function is used for extracting a string or replacing contents of character value.
Stop statement causes SAS to stop processing the current data step immediately and resume processing statement after the end of current data step.
There are two SAS data types. Character and Numeric. Apart from this, dates are also considered as characters although there are implicit functions to work upon dates.
Input function – Character to numeric conversion- Input(source,informat)
put function – Numeric to character conversion- put(source,format)
RUN-Group processing is used to submit a PROC step using RUN statement without ending the procedure.
UPCASE and LOWCASE are the functions which are used for character handling functions.
200
data work;
do i=1 to 20 until(Sum>=20000);
Year+1;
Sum+2000;
Sum+Sum*.10;
end;
run;
This iterative DO statement enables you to execute the DO loop until Sum is greater than or equal to 20000 or until the DO loop executes 10 times, whichever occurs first.
Both DROP and KEEP can be used to limit the variables in the dataset.
It is a bitwise logical operation and is used for returning bitwise logical OR between two statements.
DO WHILE expression is evaluated at the top of the DO loop. If the expression is false the first time it is evaluated, then the DO loop never executes. Whereas DO UNTIL executes at least once.
You must create a differently-named variable using the PUT function.
charvar=put(numvar, 7.) ;
It is used for compressing the data into new output.
It provides Ipv6 support, new true type fonts, extended time notations, restart mode, universal printing, checkpoint mode and ISO 8601 support.
By writing OPTIONS OBS=0 at the starting of the code and if execution of code is On PC SAS than log will be detected itself by highlighted colors. These are the two ways for validating an SAS program.
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