8: CALLMETHOD 'agg'

This step used:

7: CALLMETHOD 'groupby'

This step was used by:

9: CALLMETHOD 'reset_index'

Where was this step created?

                
  File "/home/jerome/workspace/scratch/2025/01/expr-presentation/fraud_skrub.py", line 23, in <module>
    vectorized_products.groupby("basket_ID").agg("mean").reset_index()

Output of this step

Column	Column name	dtype	Unique values	Mean	Std	Min	Median	Max
0	item_0	Float32DType	3583 (3.9%)	0.449	0.391	-1.04e-16	0.409	0.988
1	item_1	Float32DType	3579 (3.9%)	0.122	0.202	-2.44e-05	5.22e-05	0.536
2	item_2	Float32DType	3606 (3.9%)	0.0738	0.306	-0.153	0.00154	0.911
3	item_3	Float32DType	3593 (3.9%)	0.129	0.308	-0.00900	0.00131	0.999
4	item_4	Float32DType	3615 (3.9%)	0.0628	0.211	-0.00840	-0.000489	0.959
5	cash_price	Float32DType	6334 (6.8%)	863.	641.	20.8	704.	2.20e+04
6	make_0	Float32DType	2729 (2.9%)	0.560	0.425	0.00	0.500	1.00
7	make_1	Float32DType	2520 (2.7%)	0.229	0.300	-1.29e-05	2.00e-08	1.00
8	make_2	Float32DType	3057 (3.3%)	0.0714	0.242	-1.26e-07	-3.71e-11	1.00
9	make_3	Float32DType	3152 (3.4%)	0.0425	0.191	-1.13e-06	-1.12e-07	1.00
10	make_4	Float32DType	3141 (3.4%)	0.0273	0.151	-5.40e-05	-2.27e-07	1.00
11	model_0	Float32DType	11381 (12.3%)	0.214	0.263	0.00	0.0825	1.00
12	model_1	Float32DType	11452 (12.3%)	0.258	0.269	-0.0262	0.143	0.811
13	model_2	Float32DType	11451 (12.3%)	0.0422	0.249	-0.541	0.0530	0.655
14	model_3	Float32DType	11546 (12.4%)	0.0654	0.217	-0.0829	-0.00731	0.854
15	model_4	Float32DType	11486 (12.4%)	0.0720	0.206	-0.0695	0.00824	0.905
16	goods_code_0	Float32DType	12187 (13.1%)	0.119	0.203	-1.51e-08	5.12e-10	0.500
17	goods_code_1	Float32DType	17021 (18.3%)	0.153	0.259	5.69e-05	0.0272	0.900
18	goods_code_2	Float32DType	17018 (18.3%)	0.0974	0.159	-0.0113	0.00903	0.623
19	goods_code_3	Float32DType	17084 (18.4%)	0.0353	0.0904	-0.0887	0.0105	0.524
20	goods_code_4	Float32DType	17021 (18.3%)	0.00776	0.161	-0.375	-0.00111	0.766
21	Nbr_of_prod_purchas	Float32DType	170 (0.2%)	1.03	0.282	1.00	1.00	40.0

Column 1	Column 2	Cramér's V
item_1	goods_code_0	0.905
item_0	item_2	0.791
make_1	model_0	0.697
model_1	model_2	0.604
item_3	make_2	0.568
make_1	goods_code_0	0.544
goods_code_2	goods_code_4	0.534
make_0	make_1	0.533
model_0	goods_code_0	0.531
item_0	model_1	0.516
make_0	model_0	0.513
item_1	make_1	0.506
make_0	goods_code_0	0.502
item_1	model_0	0.498
make_2	model_4	0.490
item_2	model_3	0.485
item_0	make_0	0.480
item_0	model_3	0.477
item_1	make_0	0.475
model_1	goods_code_4	0.475

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basket_ID	item_0	item_1	item_2	item_3	item_4	cash_price	make_0	make_1	make_2	make_3	make_4	model_0	model_1	model_2	model_3	model_4	goods_code_0	goods_code_1	goods_code_2	goods_code_3	goods_code_4	Nbr_of_prod_purchas
basket_ID	item_0	item_1	item_2	item_3	item_4	cash_price	make_0	make_1	make_2	make_3	make_4	model_0	model_1	model_2	model_3	model_4	goods_code_0	goods_code_1	goods_code_2	goods_code_3	goods_code_4	Nbr_of_prod_purchas
0	0.32944566011428833	0.3332919776439667	-0.05093023180961609	0.0004261421272531152	-0.004414469934999943	431.6666564941406	0.33334195613861084	0.6665570735931396	-8.42430480929579e-08	-7.915582500572782e-07	-3.3037383673217846e-07	0.6680940985679626	0.08661478757858276	0.09386831521987915	-0.0004201606789138168	0.0006269374280236661	0.3333333432674408	0.006267699878662825	0.16744856536388397	0.17350570857524872	-0.10435225814580917	1.0
1	0.02868020534515381	0.011487196199595928	0.19204150140285492	-0.00102941261138767	0.24260692298412323	524.0	9.327397492597811e-06	0.5378952622413635	-6.808064512142664e-08	8.698448255017865e-06	2.5623753572290298e-06	0.9995126724243164	-0.026181798428297043	0.011272745206952095	-0.0009691287414170802	-0.0010291532380506396	-7.776312371809979e-10	0.008588025346398354	0.00272080535069108	0.01297535840421915	0.0012611934216693044	1.0
2	0.00018370886391494423	0.02186746522784233	0.0033177072182297707	0.0007147646974772215	0.43649590015411377	994.5	5.742705980082974e-06	0.07594841718673706	-9.815289914172354e-09	1.8528036889620125e-05	5.506616162165301e-06	0.9995126724243164	-0.026181798428297043	0.011272745206952095	-0.0009691287414170802	-0.0010291532380506396	-1.4323005281813295e-10	0.024252479895949364	0.0017482417169958353	0.00938505120575428	-0.0005452862824313343	1.0
4	0.0011622309684753418	0.49999377131462097	0.011445442214608192	0.05518101155757904	-0.0047174785286188126	499.5	0.5000064373016357	0.49991458654403687	-6.319156398149062e-08	-6.217673558239767e-07	-3.046281449314847e-07	0.5020583868026733	0.12144654244184494	0.11926435679197311	0.031903911381959915	-0.01999862678349018	0.5	0.030787592753767967	0.0067673660814762115	0.015688102692365646	-0.004976444412022829	1.0
5	0.0007055742316879332	0.02777967043220997	0.00564973521977663	0.0038128476589918137	0.950914204120636	749.0	1.2912088095617946e-05	0.99984210729599	-1.263459949996104e-07	-1.131140152210719e-06	-3.818652487552754e-07	0.9995126724243164	-0.026181798428297043	0.011272745206952095	-0.0009691287414170802	-0.0010291532380506396	-1.2219116829470522e-09	0.011820148676633835	0.0038265972398221493	0.013484629802405834	-0.0020939873065799475	1.0

115981	0.9882413148880005	-2.4426024538115598e-05	-0.15276144444942474	0.0013054301962256432	0.00021473383822012693	1149.0	1.0	-1.2925240298500285e-05	-3.7126069579729304e-11	-1.1239455233180706e-07	-2.273910126859846e-07	0.0052568744868040085	0.312207967042923	0.25905945897102356	0.0006777754169888794	0.003939118701964617	-7.209383090511778e-10	0.002652057446539402	0.4688684344291687	-0.061887625604867935	-0.26244068145751953	1.0
115982	0.49412259459495544	0.4999372065067291	-0.07645933330059052	0.0006197786424309015	-0.006915412377566099	703.0	0.5000064373016357	0.49991458654403687	-6.319156398149062e-08	-6.217673558239767e-07	-3.046281449314847e-07	0.5030333995819092	0.21002519130706787	0.260689377784729	-0.033135656267404556	-0.024770284071564674	0.5	0.001822396763600409	0.19369015097618103	-0.020333534106612206	-0.09766285121440887	1.0
115983	0.40892505645751953	9.8394688393455e-05	0.9109643697738647	-0.009002331644296646	-0.002758502494543791	439.0	1.0	-1.2925240298500285e-05	-3.7126069579729304e-11	-1.1239455233180706e-07	-2.273910126859846e-07	0.002291659591719508	0.08930908888578415	0.05756927654147148	0.6483333706855774	0.03538009151816368	3.111719215631581e-11	0.0009357709204778075	0.20002298057079315	0.04957962781190872	0.02793176844716072	1.0
115984	0.9882413148880005	-2.4426024538115598e-05	-0.15276144444942474	0.0013054301962256432	0.00021473383822012693	887.0	1.0	-1.2925240298500285e-05	-3.7126069579729304e-11	-1.1239455233180706e-07	-2.273910126859846e-07	0.08248666673898697	0.8109883069992065	-0.5407345294952393	-0.017663072794675827	0.022470692172646523	-9.597581618336903e-10	0.8996102809906006	-0.0113435173407197	-0.01964709348976612	0.008371813222765923	1.0
115985	0.49412259459495544	0.4999372065067291	-0.07645933330059052	0.0006197786424309015	-0.006915412377566099	288.0	0.5000064373016357	0.49991458654403687	-6.319156398149062e-08	-6.217673558239767e-07	-3.046281449314847e-07	0.503441333770752	0.19971494376659393	0.2098952680826187	-0.02433210052549839	-0.0352647602558136	0.5	0.0002651690156199038	0.037035394459962845	-0.0007936894544400275	0.0007033820729702711	1.0

8: CALLMETHOD 'agg'

This step used:

This step was used by:

Where was this step created?

Output of this step

item_0

item_1

item_2

item_3

item_4

cash_price

make_0

make_1

make_2

make_3

make_4

model_0

model_1

model_2

model_3

model_4

goods_code_0

goods_code_1

goods_code_2

goods_code_3

goods_code_4

Nbr_of_prod_purchas