Muestra de datos
article_id article_name unit_price
0 20015 Smartphone 525.00
1 20016 Full Pc 2127.81
2 20017 Monitor 230.00
3 20018 Tablet 130.00
4 20019 Desk 130.10
Formato del dataframe
(31, 3)
Búsqueda de valores nulos por columna
article_id 0
article_name 0
unit_price 0
dtype: int64
Formato de los datos
article_id int64
article_name object
unit_price object
dtype: object
Muestra de datos
seller_name
seller_id
1 Aveline Swanwick
2 Jase Doy
3 Oliviero Charkham
4 Cornie Wynrehame
5 Ewell Peres
Formato del dataframe
(15, 1)
Búsqueda de valores nulos por columna
seller_name 0
dtype: int64
Formato de los datos
seller_name object
dtype: object
Muestra de datos
order_id week article_id quantity seller_id country_name
0 15024 1 20039 10 10 Peru
1 15025 1 20029 15 5 Peru
2 15026 1 20024 5 14 Bolivia
3 15027 1 20018 9 14 Brazil
4 15028 1 20035 6 15 Mexico
Formato del dataframe
(1000, 6)
Búsqueda de valores nulos por columna
order_id 0
week 0
article_id 0
quantity 0
seller_id 0
country_name 0
dtype: int64
Formato de los datos
order_id int64
week int64
article_id int64
quantity int64
seller_id int64
country_name object
dtype: object
order_idint64
15024 - 16023
weekint64
1 - 4
0
15024
1
1
15892
3
2
15322
2
3
15453
2
4
15468
2
5
15955
4
6
15842
3
7
15872
3
8
15741
3
9
15840
3
order_idint64
15024 - 16023
weekint64
1 - 4
0
15024
1
1
15892
3
2
15322
2
3
15453
2
4
15468
2
5
15955
4
6
15842
3
7
15872
3
8
15741
3
9
15840
3
article_name
HDD 413
Name: quantity, dtype: int64
total_ventafloat64
564.9599999999999 - 538335.9299999999
quantityint64
141 - 413
Full Pc
538335.93
253
Notebook
251000
251
Smartphone
152250
290
Chair
69477.48
207
Tablet
48620
374
Monitor
47840
208
Netbook
46400
320
Scanner
40885
221
Motherboard
40268.58
291
CPU
37138.92
266
total_ventafloat64
quantityint64
1
507458.81
2449
2
415364.44
2444
3
329140.03
2114
4
223844.56
1058
total_ventafloat64
quantityint64
Brazil
441271.85
2515
Argentina
205832.78
947
Colombia
177514.29
881
Chile
24660.98
231
Bolivia
22682.8
181
Articulo mas vendido por país
# RESOLUCIÓN