7. Customers' Demographic
Gender's Distribution across States
Out of the 3 states, California has the highest female/male ratio
*Because Quick Sight usage time had expired, I used Tableau for this visual
9. Customers' Behavior
Categories and Products
Males tend to buy a lot more shirts and Books while female customers prefer
Jeans and Fairness Creams, Shoes
10. Daily Sales Gender and Daily Sales
Strangely, the daily revenues from
Male vs. Female customers are
not correlated
Women tend to spend less on the
most busy time of the year
11. Customers' Behavior
Gender and Daily Sales
While at California and NY stay normal; somehow, the spending money of both
genders in Washington suddenly reversed
*Because Quick Sight usage time had expired, I used Tableau for these visuals
12. Customers' Behavior
Delivery Services
In NY and CA customers prefer 1-Day
Delivery
WA customers usually use the Normal
[The reason for this might be that Amazon has
spent their time building up their warehouses in
Washington (accounts for 60% of revenues) that
minimized delivery time]
13. Customers' Behavior
Categories and Delivery Services
While Customers prefer 1-day service for
electronic devices, they tend to book the
normal service for Fashion items.
14. There are surges in order numbers in the Q4 (Especially:
Black Friday, Cyber Monday, Green Monday)
Customers and Gender distribution uneven across states
Male (57%): Prefer Web platform, shirts, and books
Females: Prefer Mobile one, Jeans, Shoes, Fairness Creams
Reverse in Daily Sales of male vs. female customers in WA
NY and CA customers prefer Normal Delivery while
WA customers prefer 1-day service
Conclusions
From the US E-commerce Dataset
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