Correct Answer : Get Lastest Questions and Answer : Explanation: When you use commaw.d format, it not only remove commas from the data, but also it can remove some special character like comm, %, $ ect. And only numeric value will be stored by SAS.
Question : You have been given below dataset
Which of the following is correct statement to read data as course_name and Fee, both value should be read as character
Correct Answer : Get Lastest Questions and Answer : Explanation: As per given option all the values needs to be read as character than we can say that we have to use $ sign as well for width w. In given option course_name start at column 1 . Hence, it can use column pointer @1 next width of the column is 8. Hence, $8. Is correct. Next Fee which is actually a numeric value, but we have been asked to read it as a character. Hence, again it starts 1 column after the course_name , so you can use +1 as well as you can define width of the Fee column which is 9 character including , and $ sign. Hence, it will be $9.
Question : You have been given below dataset
Which of the following will correctly read column Fee as a numeric value ?
Correct Answer : Get Lastest Questions and Answer : Explanation: As in given data , we can see it is numeric values are given. However, numeric values contain special character like , and $ sign, which can be stripped out by using commaw.d option. Hence, here we will be using option comma9.2. where field w will tell you the total width of the column in this case it is 9 and decimal places using with the .d part, in this case 2 columns. Hence, 9.2 is correct width and we should use comma9.2 so all the special character can also be removed.
1. The SORT procedures contain invalid syntax. 2. The merged data sets are not permanent SAS data sets. 3. Access Mostly Uused Products by 50000+ Subscribers 4. The data sets were not merged in the order by which they were sorted.