-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathSolution_of_business_problem.sql.sql
More file actions
188 lines (147 loc) · 4.01 KB
/
Copy pathSolution_of_business_problem.sql.sql
File metadata and controls
188 lines (147 loc) · 4.01 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
-- Netflix Project
DROP TABLE IF EXISTS netflix;
CREATE TABLE netflix
(
show_id VARCHAR(6),
type VARCHAR(10),
title VARCHAR(150),
director VARCHAR(208),
casts VARCHAR(1000),
country VARCHAR(150),
date_added VARCHAR(50),
release_year INT,
rating VARCHAR(10),
duration VARCHAR(15),
listed_in VARCHAR(100),
description VARCHAR(250)
);
select * from NETFLIX;
SELECT
COUNT(*) AS total_content
FROM netflix;
SELECT
DISTINCT TYPE
FROM netflix;
SELECT * FROM netflix;
-- 15 business problems
-- 1. Count the number of Movies vs TV Shows
SELECT
TYPE,
COUNT(*) AS total_content
FROM netflix
GROUP BY TYPE
-- 2. Find the most common rating for movies and TV shows
SELECT
type,
rating
FROM (
SELECT
type,
rating,
COUNT(*) AS count,
RANK() OVER (PARTITION BY type ORDER BY COUNT(*) DESC) AS ranking
FROM netflix
GROUP BY type, rating
) AS t1
WHERE ranking = 1;
-- 3. List all movies released in a specific year (e.g., 2020)
-- filter 2020
-- movies
SELECT * FROM netflix
WHERE
TYPE = 'Movie'
AND
release_year = 2020
-- 4. Find the top 5 countries with the most content on Netflix
SELECT
new_country,
COUNT(show_id) AS total_content
FROM
netflix,
LATERAL UNNEST(string_to_array(country, ', ')) AS new_country
GROUP BY
new_country
ORDER BY
total_content DESC
LIMIT 5;
-- 5. Identify the longest movie
SELECT * FROM netflix
WHERE
TYPE = 'Movie'
AND
duration = (SELECT MAX(DURATION) FROM netflix)
-- 6. Find content added in the last 5 years
SELECT *,
TO_DATE(date_added, 'Month DD, YYYY') AS formatted_date
FROM netflix
WHERE TO_DATE(date_added, 'Month DD, YYYY') >= CURRENT_DATE - INTERVAL '5 years';
-- 7. Find all the movies/TV shows by director 'Rajiv Chilaka'!
SELECT *
FROM netflix
WHERE director LIKE '%Rajiv Chilaka%';
-- 8. List all TV shows with more than 5 seasons
SELECT *
FROM netflix
WHERE
type = 'TV Show'
AND CAST(SPLIT_PART(duration, ' ', 1) AS INTEGER) > 5;
-- 9. Count the number of content items in each genre
SELECT
genre,
COUNT(*) AS total_content
FROM (
SELECT
UNNEST(string_to_array(listed_in, ', ')) AS genre
FROM netflix
) AS sub
GROUP BY genre
ORDER BY total_content DESC;
-- 10.Find each year and the average numbers of content release in India on netflix.
SELECT
EXTRACT(YEAR FROM TO_DATE(date_added, 'Month DD, YYYY')) AS year,
COUNT(*) AS yearly_content,
ROUND(
COUNT(*)::numeric/(SELECT COUNT(*) FROM netflix WHERE country = 'India')::numeric * 100
,2)AS avg_content_per_year
FROM netflix
WHERE country ILIKE 'India'
GROUP BY 1
-- 11. List all movies that are documentaries
SELECT * FROM netflix
WHERE
listed_in ILIKE '%documentaries%'
-- 12. Find all content without a director
SELECT * FROM netflix
WHERE
director IS NULL
-- 13. Find how many movies actor 'Salman Khan' appeared in last 10 years!
SELECT * FROM netflix
WHERE
castS ILIKE '%Salman Khan%'
AND
release_year > EXTRACT(YEAR FROM CURRENT_DATE) - 10
-- 14. Find the top 10 actors who have appeared in the highest number of movies produced in India.
SELECT
UNNEST(STRING_TO_ARRAY(casts, ',')) AS actor,
COUNT(*)
FROM netflix
WHERE country = 'India'
GROUP BY actor
ORDER BY COUNT(*) DESC
LIMIT 10;
-- 15.
Categorize the content based on the presence of the keywords 'kill' and 'violence' in
the description field. Label content containing these keywords as 'Bad' and all other
content as 'Good'. Count how many items fall into each category.
SELECT
category,
COUNT(*) AS content_count
FROM (
SELECT
CASE
WHEN description ILIKE '%kill%' OR description ILIKE '%violence%' THEN 'Bad'
ELSE 'Good'
END AS category
FROM netflix
) AS categorized_content
GROUP BY category;