![numeric to character sas numeric to character sas](https://sasexamplecode.com/wp-content/uploads/2020/07/DS_NUM.png)
#NUMERIC TO CHARACTER SAS CODE#
I will create 3 sets of macro variables with the code below. (In your own scenario, you may need to use a more complicated WHERE statement to filter for the right variables.) In this case, it’s easy – I just need to get the “Type 2” variables. First, I need to identify the ones that I need to convert. Recall from our above strategy that the hard part is renaming the variables in a DO-loop. Using PRCO PRINT to view VARS1, you can easily see that the character variables have Type = 2. I mentioned this utility in an earlier tutorial I will expand on it here by including TYPE in the output data set. Let’s start by obtaining the variables’ names and types from PROC CONTENTS.
![numeric to character sas numeric to character sas](https://www.analyticsvidhya.com/wp-content/uploads/2015/03/Char_Date_date.png)
The hard part is actually re-naming the variables I will use this BASKETBALL1 data set as an example, and I will convert POINTS, REBOUNDS, and ASSISTS from character to numeric simultaneously. In this tutorial, I will show a fast way of doing these conversions for many variables at once. data basketball2 ĭespite this success, the above code can be very cumbersome when I need to do this for many variables, and this situation arose in my job recently. Note that I chose “2.” for the length of “JERSEY”, because I know that jersey numbers in the NBA have, at most, 2 digits.
![numeric to character sas numeric to character sas](https://support.sas.com/documentation/cdl/en/sqlproc/62086/HTML/default/images/extreme.gif)
I can convert these variables into the correct types using the following code. Thus, for NBA jersey numbers, it is best to save it as a character variable. ( Robert Parish wore this jersey number he won 4 NBA championships and reached the Naismith Basketball Hall of Fame.) If you code “00” as a numeric variable, then it will render as “0”. The National Basketball Association (NBA) allows “00” as a possible jersey number. The jersey number is really a character variable, because its magnitude has no real-life meaning. (You can use PROC CONTENTS to confirm this if needed.) The 3 performance metrics (points, rebounds, and assists) are clearly numeric, but they are currently coded as character. Input jersey points $ rebounds $ assists $ They are hypothetical statistics of 3 players from a basketball game. Let’s consider this small data set in SAS as an example. However, I recently needed to do hundreds of these conversions, so I wanted some code to accomplish this quickly and accurately.
#NUMERIC TO CHARACTER SAS HOW TO#
Thus, converting them into the correct variable types is a common task, and SAS Note #24590 shows how to do so. “is_promoted” column is converted from numeric(integer) to character (object) using apply() function.I often get data that are coded as character, but are actually meant to be numeric. Typecast numeric to character column in pandas python using apply():Īpply() function takes “str” as argument and converts numeric column (is_promoted) to character column as shown belowĭf1 = df1.apply(str) “is_promoted” column is converted from numeric(integer) to character (object). Typecast numeric to character column in pandas python:Īstype() function converts numeric column (is_promoted) to character column as shown belowĭf1 = df1.is_promoted.astype(str) Note:Object datatype of pandas is nothing but character (string) datatype of python