Hi Experts,   I am new to SAS and learning to complete my school assignment in which I am having some challenges.   I was instructed to use Work.heart1 data set as input and asked to create 4 new variables into new data set called Work.Heart2.   For this I used Recode Values from task option to generate new variable, but it is allowing to change only one variable at a time. Also, every time I need to make new dataset from Work.Heart2 to Work.Heart3 until Work.Heart5 for generating 4 new variables like Chol_StatusNew, Sex_New, Weight_StatusNew & Smoking_StatusNew.   Also, in continuation to above question I need to use Work.Heart2 data set and create a new library and with output data set that contains new variables created in above step and old variables in the dataset. This step I am unable to start.   Kindly help me how to do this task. Regards, Sunil ... View more

I am new to SAS and still learning. I need to submit my school assignment and posting below questions for which I need some helping hand in completing those. Deciding an appropriate path for analysis often requires many steps. An important first step is exploring and examining the data. An initial exploratory data analysis provides understanding of the meaning of study variables and can provide crucial clues into data preparations needed before analyzing the data.   Open and examine the SASHELP.HEART dataset and its variables. Familiarize yourself with the context and meanings behind the variables and their values.   How many observations are in the dataset? I answered this :- There are total of 5209 observations in the data set. How many variables are in the dataset? How many are numeric? How many are character? I answered this :- There are 17 variables in the dataset. 10 variables are numeric & 7 variables are character type. Exploring the assigned values of character variables can demonstrate patterns and inherent orderings. The default ordering of levels in SAS is alphabetical order. The levels of many character variables have an inherent ordering of magnitude. For example, non-smokers smoke less than light smokers who smoke less than moderate smokers.   Tabulate the levels of the character variables in the SASHELP.HEART dataset.  For each of the character variables:   What data values or levels are observed for each?   Which variables have an inherent ordering of magnitude? Does alphabetical order of the levels correspond to ordering levels by magnitude for any of these character variables? ... View more