Análisis de los 25 retailers más grandes de Estados Unidos
0
Walmart US
658119
1
Kroger
115037
2
Costco
90048
3
Home Depot
83976
4
Walgreen Boots
78924
I. Preguntas del negocio
El promedio solicitado es de $ 46602.42
16592.0 24402.0 34980.0 71687.0 658119.0
/shared-libs/python3.7/py/lib/python3.7/site-packages/seaborn/_decorators.py:43: FutureWarning: Pass the following variable as a keyword arg: x. From version 0.12, the only valid positional argument will be `data`, and passing other arguments without an explicit keyword will result in an error or misinterpretation.
FutureWarning
Rango para detección de outliers: -46525.5, 95329.5
Supercenters
745919
6577
Grocery
297164
12026
Drug Stores
184202
22368
Home Improvement
144287
3793
Warehouse Club
90048
495
Electronic/Mail Order
71687
0
Warehouse Clubs
56828
655
Department Stores
45088
2058
Dollar Stores
43698
27600
Electronics
34980
1389
2
Costco
90048
0
Walmart US
658119
10
Sam's Club
56828
24
Meijer
16592
21
HEB
21384
3
Home Depot
83976
7
Target
71208
15
Ahold
26903
8
Lowe's
60311
16
Macy's
26028
6
Amazon
71687
11
Apple incl. Online
37664
1
Kroger
115037
9
Albertsons
56829
13
Publix
34408
15
Ahold
26903
18
Aldi
24402
/shared-libs/python3.7/py-core/lib/python3.7/site-packages/ipykernel_launcher.py:1: UserWarning: Boolean Series key will be reindexed to match DataFrame index.
"""Entry point for launching an IPython kernel.
5
CVS incl. Target
77792
4
Walgreen Boots
78924
14
Rite Aid
27486
20
Dollar Tree
21464
21
HEB
21384
22
Kohl's
19060
23
Delhaize
18201
24
Meijer
16592