Spss 26 Code Direct

* Open an existing .sav file.
GET FILE='C:\Users\YourName\Documents\mydata.sav'.
To CSV:
SAVE TRANSLATE OUTFILE='C:\exports\data.csv'
  /TYPE=CSV
  /ENCODING='UTF8'
  /MAP
  /REPLACE.

To Excel:
SAVE TRANSLATE OUTFILE='C:\exports\data.xlsx'
  /TYPE=XLSX
  /VERSION=12
  /MAP
  /REPLACE.

OUTPUT NEW NAME=MyAnalysis.
FREQUENCIES Gender.

Before analysis, you often need to clean or modify variables. spss 26 code
Creating a New Variable (Compute)
* Calculate a total score from two columns.
COMPUTE Total_Score = Var1 + Var2.
EXECUTE.

(Note: EXECUTE is required to force the computation to happen immediately.) * Open an existing
Recoding Variables
Best Practice: Always recode INTO a different variable to preserve your original data. To Excel:  
  SAVE TRANSLATE OUTFILE='C:\exports\data
* Recode Age into Age_Group (1=Young, 2=Old).
RECODE Age (1 THRU 30=1) (31 THRU 100=2) INTO Age_Group.
VARIABLE LABELS Age_Group "Age Category".
VALUE LABELS Age_Group 1 'Young' 2 'Old'.
EXECUTE.

Filtering Data
* Select only participants where Gender is 1.
USE ALL.
COMPUTE filter_$ = (Gender = 1).
FILTER BY filter_$.
EXECUTE.

* Compute BMI from weight (kg) and height (m).
COMPUTE BMI = Weight_kg / (Height_m ** 2).
EXECUTE.