• File size measurements show the distribution of size of files.
• Files are classified in four categories based on their size (lines of code): 1-100 (very small files), 101-200 (small files), 201-500 (medium size files), 501-1000 (long files), 1001+(very long files).
• It is a good practice to keep files small. Long files may become "bloaters", code that have increased to such gargantuan proportions that they are hard to work with.

• There are 192 files with 46,601 lines of code.
• 6 very long files (8,107 lines of code)
• 20 long files (13,504 lines of code)
• 47 medium size files (16,172 lines of codeclsfd_ftr_w_mp_ins)
• 34 small files (5,013 lines of code)
• 85 very small files (3,805 lines of code)

There are 42 files with lines longer than 120 characters. In total, there are 191 long lines.

File	# lines	# units	# long lines
033 - Amazon Neptune.ipynb in tutorials	679	-	20
007 - Redshift, MySQL, PostgreSQL, SQL Server, Oracle.ipynb in tutorials	231	-	12
035 - Distributing Calls on Ray Remote Cluster.ipynb in tutorials	382	-	12
039 - Athena Iceberg.ipynb in tutorials	1170	-	11
019 - Athena Cache.ipynb in tutorials	998	-	10
011 - CSV Datasets.ipynb in tutorials	596	-	8
014 - Schema Evolution.ipynb in tutorials	482	-	8
004 - Parquet Datasets.ipynb in tutorials	546	-	7
031 - OpenSearch.ipynb in tutorials	1637	-	7
001 - Introduction.ipynb in tutorials	122	-	7
038 - OpenSearch Serverless.ipynb in tutorials	587	-	7
021 - Global Configurations.ipynb in tutorials	607	-	6
036 - Distributing Calls with Glue Interactive Sessions on Ray.ipynb in tutorials	169	-	5
030 - Data Api.ipynb in tutorials	106	-	5
040 - EMR Serverless.ipynb in tutorials	246	-	5
_utils.py in awswrangler/redshift	428	19	4
037 - Glue Data Quality.ipynb in tutorials	1127	-	4
009 - Redshift - Append, Overwrite, Upsert.ipynb in tutorials	394	-	4
041 - Apache Spark on Amazon Athena.ipynb in tutorials	178	-	4
013 - Merging Datasets on S3.ipynb in tutorials	500	-	4
006 - Amazon Athena.ipynb in tutorials	529	-	4
mysql.py in awswrangler	311	14	3
017 - Partition Projection.ipynb in tutorials	900	-	3
005 - Glue Catalog.ipynb in tutorials	711	-	3
018 - QuickSight.ipynb in tutorials	1309	-	3
003 - Amazon S3.ipynb in tutorials	1766	-	3
023 - Flexible Partitions Filter.ipynb in tutorials	543	-	3
002 - Sessions.ipynb in tutorials	156	-	2
020 - Spark Table Interoperability.ipynb in tutorials	72	-	2
010 - Parquet Crawler.ipynb in tutorials	840	-	2
024 - Athena Query Metadata.ipynb in tutorials	159	-	2
pyproject.toml in root	173	-	1
emr.py in awswrangler	533	14	1
_data_types.py in awswrangler	737	33	1
postgresql.py in awswrangler	363	17	1
_write.py in awswrangler/s3	380	12	1
012 - CSV Crawler.ipynb in tutorials	691	-	1
025 - Redshift - Loading Parquet files with Spectrum.ipynb in tutorials	463	-	1
008 - Redshift - Copy & Unload.ipynb in tutorials	575	-	1
022 - Writing Partitions Concurrently.ipynb in tutorials	186	-	1
028 - DynamoDB.ipynb in tutorials	372	-	1
026 - Amazon Timestream.ipynb in tutorials	284	-	1