Computation times

09:43.942 total execution time for 11 files from auto_examples:

Example	Time	Mem (MB)
Various string encoders: a sentiment analysis example (0020_text_with_string_encoders.py)	03:26.713	1315.5
AggJoiner on a credit fraud dataset (0070_join_aggregation.py)	02:11.141	750.4
Encoding: from a dataframe to a numerical matrix for machine learning (0010_encodings.py)	00:54.709	577.2
Spatial join for flight data: Joining across multiple columns (0060_multiple_key_join.py)	00:47.427	2966.4
Interpolation join: infer missing rows when joining two tables (0080_interpolation_join.py)	00:38.884	2590.4
Fuzzy joining dirty tables with the Joiner (0040_fuzzy_joining.py)	00:32.790	566.9
SquashingScaler: Robust numerical preprocessing for neural networks (0100_squashing_scaler.py)	00:25.348	566.8
Getting Started (0000_getting_started.py)	00:16.457	566.5
Hands-On with Column Selection and Transformers (0090_apply_to_cols.py)	00:14.566	567.5
Handling datetime features with the DatetimeEncoder (0030_datetime_encoder.py)	00:11.506	571.7
Deduplicating misspelled categories (0050_deduplication.py)	00:04.400	567.0