Computation times

08:59.008 total execution time for 11 files from auto_examples:

Example	Time	Mem (MB)
Various string encoders: a sentiment analysis example (02_text_with_string_encoders.py)	03:40.613	0.0
AggJoiner on a credit fraud dataset (07_join_aggregation.py)	02:32.708	0.0
Encoding: from a dataframe to a numerical matrix for machine learning (01_encodings.py)	00:49.450	0.0
SquashingScaler: Robust numerical preprocessing for neural networks (10_squashing_scaler.py)	00:28.496	0.0
Spatial join for flight data: Joining across multiple columns (06_multiple_key_join.py)	00:27.502	0.0
Interpolation join: infer missing rows when joining two tables (08_interpolation_join.py)	00:17.915	0.0
Fuzzy joining dirty tables with the Joiner (04_fuzzy_joining.py)	00:14.591	0.0
Getting Started (00_getting_started.py)	00:11.405	0.0
Hands-On with Column Selection and Transformers (09_apply_to_cols.py)	00:10.343	0.0
Handling datetime features with the DatetimeEncoder (03_datetime_encoder.py)	00:04.789	0.0
Deduplicating misspelled categories (05_deduplication.py)	00:01.198	0.0