Resolving the SAS EG Transcoding Error
Addressing the "Character Data Lost During Transcoding" Issue in SAS EG
Author: Sarath
Date: November 19, 2024
Introduction
While working in SAS Enterprise Guide (SAS EG), you may encounter the error: "Some character data was lost during transcoding in the dataset." This issue typically arises when character data contains unsupported characters or is truncated due to insufficient column lengths. In this blog post, we'll explore the root causes and provide step-by-step solutions.
Common Causes
- Unsupported Characters: The data contains special or non-ASCII characters not representable in the session encoding.
- Truncation: Character variables are too short to store the full data, leading to loss of information.
- Encoding Mismatch: The dataset's encoding differs from the SAS session's encoding.
Step-by-Step Solutions
1. Check Encoding
Identify the encoding of your SAS session and dataset:
proc options option=encoding; run;
proc contents data=tempdata.cm; run;
2. Identify Problematic Characters
Review a sample of the dataset to locate non-representable or truncated characters:
proc print data=tempdata.cm (obs=50); run;
3. Use a Compatible Encoding
Adjust the encoding for your session or dataset. For example, specify UTF-8 if working with multilingual data:
libname tempdata 'path-to-data' inencoding='utf-8';
4. Increase Column Lengths
Expand the length of character variables to avoid truncation:
data tempdata.cm;
set tempdata.cm;
length newvar $200; /* Adjust length */
newvar = oldvar;
run;
5. Transcode the Dataset
Convert the dataset into a compatible encoding:
libname tempdata_in 'path-to-input-data' inencoding='utf-8';
libname tempdata_out 'path-to-output-data' encoding='utf-8';
data tempdata_out.cm;
set tempdata_in.cm;
run;
6. Modify Encoding with PROC DATASETS
Repair the dataset’s encoding directly:
proc datasets lib=tempdata;
modify cm / correctencoding='utf-8';
quit;
7. Clean the Data
Handle non-printable or invalid characters using functions like KCOMPRESS
or KSTRIP
.
Best Practices
- Ensure consistent encoding between your data sources and SAS session.
- Use UTF-8 encoding for handling multilingual data.
- Allocate sufficient column lengths for character variables during data transformation.