-
Notifications
You must be signed in to change notification settings - Fork 0
/
Copy pathexecute_sql_queries.py
73 lines (65 loc) · 3.94 KB
/
execute_sql_queries.py
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
import pandas as pd
from config import*
#========================RAISE SQL QUERY TO SOLVE QUESTION =============================================================
def qust_1():
mycursor.execute("SELECT channel_data.channel_name, video_data.video_name FROM channel_data JOIN video_data ON channel_data.channel_name = video_data.channel_name;")
data = mycursor.fetchall()
data_df = pd.DataFrame(data, columns=['CHANNEL_NAME', 'VIDEO_NAME']).reset_index(drop=True)
data_df.index += 1
return data_df
def qust_2():
mycursor.execute("SELECT channel_data.channel_name, COUNT(video_data.video_id) AS video_count FROM channel_data JOIN video_data ON channel_data.channel_name = video_data.channel_name GROUP BY channel_data.channel_name ORDER BY video_count DESC;")
data = mycursor.fetchall()
data_df = pd.DataFrame(data, columns=['CHANNEL_NAME', 'VIDEO_COUNT']).reset_index(drop=True)
data_df.index += 1
return data_df
def qust_3():
print("TOP 10 CHANNEL VIEWS")
mycursor.execute(
"SELECT channel_data.channel_name,video_data.video_name, video_data.view_count FROM video_data JOIN channel_data ON video_data.channel_name = channel_data.channel_name ORDER BY video_data.view_count DESC LIMIT 10;")
data = mycursor.fetchall()
data_df = pd.DataFrame(data, columns=['CHANNEL_NAME', 'VIDEO_NAME', 'VIEW_COUNT']).reset_index(drop=True)
data_df.index += 1
return data_df
def qust_4():
mycursor.execute("SELECT video_name, comment_count from video_data ORDER BY comment_count DESC;")
data = mycursor.fetchall()
data_df = pd.DataFrame(data, columns=['VIDEO_NAME', 'COMMENT_COUNT']).reset_index(drop=True)
data_df.index += 1
return data_df
def qust_5():
mycursor.execute("SELECT channel_data.channel_name, video_data.video_name,video_data.like_count FROM video_data JOIN channel_data ON video_data.channel_name = channel_data.channel_name ORDER BY video_data.like_count DESC;")
data = mycursor.fetchall()
data_df = pd.DataFrame(data, columns=['CHANNEL_NAME', 'VIDEO_NAME','LIKE_COUNT']).reset_index(drop=True)
data_df.index += 1
return data_df
def qust_6():
mycursor.execute("SELECT video_name, like_count, dislike_count FROM video_data ORDER BY like_count DESC, dislike_count ASC;")
data = mycursor.fetchall()
data_df = pd.DataFrame(data, columns=['VIDEO_NAME', 'LIKE_COUNT','DISLIKE_COUNT']).reset_index(drop=True)
data_df.index += 1
return data_df
def qust_7():
mycursor.execute("SELECT channel_name, channel_views FROM channel_data ORDER BY channel_views DESC;")
data= mycursor.fetchall()
data_df = pd.DataFrame(data, columns=['CHANNEL_NAME', 'TOTAL_CHANNEL_VIEWS']).reset_index(drop=True)
data_df.index += 1
return data_df
def qust_8():
mycursor.execute("SELECT channel_data.channel_name, video_data.video_name, video_data.published_date FROM channel_data JOIN video_data ON channel_data.channel_name = video_data.channel_name WHERE EXTRACT(YEAR FROM video_data.published_date) = 2022;")
data= mycursor.fetchall()
data_df = pd.DataFrame(data, columns=['CHANNEL_NAME', 'VIDEO_NAME', '2022_VIDEO']).reset_index(drop=True)
data_df.index += 1
return data_df
def qust_9():
mycursor.execute("SELECT channel_data.channel_name, ROUND(AVG(video_data.duration), 2) AS average_duration FROM channel_data JOIN video_data ON channel_data.channel_name = video_data.channel_name GROUP BY channel_data.channel_name ;")
data = mycursor.fetchall()
data_df = pd.DataFrame(data, columns=['CHANNEL_NAME', 'AVERAGE_DURATION']).reset_index(drop=True)
data_df.index += 1
return data_df
def qust_10():
mycursor.execute("SELECT channel_name, video_name, comment_count FROM video_data ORDER BY comment_count DESC;")
data = mycursor.fetchall()
data_df = pd.DataFrame(data, columns=['CHANNEL_NAME', 'VIDEO_NAME','COMMENT_COUNT']).reset_index(drop=True)
data_df.index += 1
return data_df