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window functions SQL Interview Questions

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Chapter 20: Window Functions Clear filters

ID	Title	Level	FTPR	Lecture
58	Percentage of revenue per movie	Hard	8%	4.1
59	Percentage of revenue per movie by category	Medium	6%	4.1
60	Movie rentals and average rentals in the same category	Hard	9%	4.1
61	Customer spend vs average spend in the same store	Hard	11%	4.1
62	Shortest film by category	Medium	8%	4.2
63	Top 5 customers by store	Hard	8%	4.2
64	Top 2 films by category	Hard	14%	4.2
65	Movie revenue percentiles	Easy	16%	4.3
66	Movie percentiles by revenue by category	Medium	18%	4.3
67	Quartile by number of rentals	Easy	24%	4.3
68	Spend difference between first and second rentals	Hard	12%	4.4
69	Number of happy customers	Hard	7%	4.4
70	Cumulative spend	Easy	13%	4.1
71	Cumulative rentals	Easy	21%	4.1
72	Days when they became happy customers	Medium	10%	4.2
73	Number of days to become a happy customer	Hard	11%	4.2
74	The most productive actors by category	Hard	7%	4.2
75	Top customer by movie category	Medium	26%	4.2
76	Districts with the most and least customers	Easy	12%	4.2
77	Movie revenue percentiles by category	Easy	18%	4.3
78	Quartiles buckets by number of rentals	Medium	25%	4.3
79	Spend difference between the last and the second last rentals	Hard	16%	4.4
80	DoD revenue growth for each store	Hard	19%	4.4
83	Top search_query in US and UK on new year's day facebook	Medium	6%	4.2
88	Top song report spotify	Medium	22%	4.2
90	Top artist report spotify	Medium	21%	4.2
103	Median and average session duration by day of the week google	Medium	20%	4.3
105	Number of days gap between last two actions google	Hard	8%	4.2
108	Free premium membership amazon	Hard	16%	4.1
109	Top 3 most popular product categories amazon	Easy	11%	4.2
110	Most popular product by category amazon	Medium	12%	4.2
113	Daily cumulative spend amazon	Easy	11%	4.1
114	Dod revenue change rate amazon	Easy	15%	4.4
115	Rolling average revenue amazon	Hard	28%	4.1
116	Top answers day by device amazon	Easy	14%	4.2
117	Rolling 7 days total answers amazon	Easy	35%	4.1
119	Top 2 countries by bookings airbnb	Hard	10%	4.2
120	First ever booking airbnb	Hard	10%	4.2
121	Week over week change of first ever bookings airbnb	Hard	14%	4.4
122	Top country by wow growth airbnb	Hard	13%	4.2
123	Top listing in the United States, United Kingdom and Canada airbnb	Medium	10%	4.2
127	Average rating after 10th trip uber	Hard	11%	4.2
135	Unlucky employees robinhood	Easy	16%	4.2
137	Extremely late first orders doordash	Medium	9%	4.2
139	Poor first delivery experience doordash	Medium	17%	4.2
141	Cumulative sales of restaurant 100011 doordash	Hard	15%	4.1
142	First order date afterpay	Easy	40%	4.2
144	Third order afterpay	Medium	9%	4.2
145	Returning customers after first buy afterpay	Hard	16%	4.2
147	2 days streak customers google	Hard	13%	4.4
148	Most popular video category google	Medium	13%	4.2
157	Number of trips before a driver got banned lyft	Medium	10%	4.2
158	First trip completion rate lyft	Medium	22%	4.2
165	Session stitching walmart	Hard	17%	4.2
166	Top 10 customers based on spend growth walmart	Medium	11%	4.2
180	Members moved from Microsoft to Google directly. linkedin	Hard	21%	4.4
182	Top 5 content by number of watchers netflix	Medium	9%	4.1
188	Top 1 popular question by department google	Hard	14%	4.2
189	Campaign activation date twitter	Medium	19%	4.1
195	MoM user growth snap	Hard	14%	4.4
199	Students improvement snap	Hard	67%	4.4
201	Top 3 students for each subject snap	Hard	67%	4.2
203	Top product by country by month apple	Hard	100%	4.2
208	Top 3 urls by testing groups apple	Hard	10%	4.2
211	Top issuer by category visa	Medium	30%	4.2
212	Highest spender's issuers visa	Hard	0%	4.2
229	Time Between Repeat Purchases microsoft	Hard	-	4.4
230	Customer Purchase Trend Analysis microsoft	Easy	-	4.4

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