csv_metadata_quality/app.py: move unnecessary Unicode fix

We actually want to do this after we try to fix mojibake with ftfy.
These "unnecessary" Unicode characters could actually help ftfy in
some cases because often times they indicate that some character
from another encoding was there before (like an accent, dash, or
smart quote).

csv_metadata_quality/app.py

@@ -103,9 +103,6 @@ def run(argv):
         if args.unsafe_fixes:
             df[column] = df[column].apply(fix.normalize_unicode, field_name=column)
 
-        # Fix: unnecessary Unicode
-        df[column] = df[column].apply(fix.unnecessary_unicode)
-
         # Check: suspicious characters
         df[column].apply(check.suspicious_characters, field_name=column)
 
@@ -115,6 +112,9 @@ def run(argv):
         else:
             df[column].apply(check.mojibake, field_name=column)
 
+        # Fix: unnecessary Unicode
+        df[column] = df[column].apply(fix.unnecessary_unicode)
+
         # Fix: invalid and unnecessary multi-value separators
         df[column] = df[column].apply(fix.separators, field_name=column)
         # Run whitespace fix again after fixing invalid separators