11 |
Actors' last name
|
easy
|
|
2.3
|
12 |
Actors' last name ending in 'EN' or 'RY'
|
easy
|
|
2.3
|
13 |
Actors' first name
|
medium
|
|
2.3
|
14 |
Good days and bad days
|
hard
|
|
2.3
|
15 |
Fast movie watchers vs slow watchers
|
hard
|
|
2.3
|
22 |
Average cost per rental transaction
|
easy
|
|
2.3
|
24 |
Films with more than 10 actors
|
medium
|
|
2.3
|
25 |
Shortest film
|
easy
|
|
2.3
|
26 |
Second shortest film
|
easy
|
|
2.3
|
27 |
Film with the largest cast
|
easy
|
|
2.3
|
28 |
Film with the second largest cast
|
medium
|
|
2.3
|
29 |
Second highest spend customer
|
medium
|
|
2.3
|
30 |
Inactive customers in May
|
easy
|
|
2.3
|
31 |
Movies that have not been returned
|
easy
|
|
2.3
|
32 |
Unpopular movies
|
hard
|
|
2.3
|
33 |
Returning customers
|
medium
|
|
2.3
|
34 |
Stocked up movies
|
easy
|
|
2.3
|
35 |
Film length report
|
easy
|
|
2.3
|
102 |
Histogram by visit session duration
mobile
|
hard
|
|
2.3
|
131 |
Churned accounts
affirm
|
hard
|
|
2.3
|
136 |
Extremely late orders
doordash
|
easy
|
|
2.3
|
138 |
Happy restaurants
doordash
|
easy
|
|
2.3
|
151 |
Salary report
dropbox
|
easy
|
|
2.3
|
155 |
Driver with the highest cancellation rate
lyft
|
easy
|
|
2.3
|
156 |
Cancellation rate by unbanned users
lyft
|
hard
|
|
2.3
|
160 |
Sellers with no sales by day
ebay
|
hard
|
|
2.3
|
176 |
Employees' annual bonus
amazon
|
easy
|
|
2.3
|
177 |
Purchases by platform report
amazon
|
medium
|
|
2.3
|
178 |
Members who worked at both Microsoft and Google
linkedin
|
medium
|
|
2.3
|