Computation times

07:09.318 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)	02:50.454	0.0
AggJoiner on a credit fraud dataset (0070_join_aggregation.py)	02:00.260	0.0
Encoding: from a dataframe to a numerical matrix for machine learning (0010_encodings.py)	00:36.740	0.0
SquashingScaler: Robust numerical preprocessing for neural networks (0100_squashing_scaler.py)	00:23.461	0.0
Spatial join for flight data: Joining across multiple columns (0060_multiple_key_join.py)	00:22.952	0.0
Interpolation join: infer missing rows when joining two tables (0080_interpolation_join.py)	00:19.099	0.0
Fuzzy joining dirty tables with the Joiner (0040_fuzzy_joining.py)	00:12.088	0.0
Hands-On with Column Selection and Transformers (0090_apply_to_cols.py)	00:09.867	0.0
Getting Started (0000_getting_started.py)	00:09.209	0.0
Handling datetime features with the DatetimeEncoder (0030_datetime_encoder.py)	00:03.918	0.0
Deduplicating misspelled categories (0050_deduplication.py)	00:01.270	0.0