5. How many restaurants (by camis) have been cited for 2 or more violations, where they were cited for each of those violation more than 10 times? Have your query return those restaurants and violations (just the ones they were cited for more than 10 times), and include the following columns: • CAMIS • DBA • VIOLATION CODE • VIOLATION DESCRIPTION • Number of violations Order the results alphabetically by DBA # restaurants with more than two violation codes sql = "u SELECT CAMIS, DBA, [violation code] as ViolCode, [violation description] as ViolDesc, count(*) as NumViol FROM test_table GROUP BY CAMIS HAVING NumViol >2 ORDER BY DBA pd. read_sql(sql,conn)

Computer Networking: A Top-Down Approach (7th Edition)
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Author:James Kurose, Keith Ross
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Chapter1: Computer Networks And The Internet
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The code I have written is what I have so far, I guess we would use a nested query but Im not sure how to approach that.

5. How many restaurants (by camis) have been cited for 2 or more violations, where they were cited for each of those violation more than 10 times?
Have your query return those restaurants and violations (just the ones they were cited for more than 10 times), and include the following columns:
• CAMIS
• DBA
• VIOLATION CODE
• VIOLATION DESCRIPTION
• Number of violations
Order the results alphabetically by DBA
# restaurants with more than two violation codes
sql
SELECT CAMIS, DBA, [violation code] as ViolCode, [violation description] as ViolDesc,
%3D
count(*) as NumViol
FROM test_table
GROUP BY CAMIS
HAVING NumViol >2
ORDER BY DBA
pd. read_sql(sql,conn)
Transcribed Image Text:5. How many restaurants (by camis) have been cited for 2 or more violations, where they were cited for each of those violation more than 10 times? Have your query return those restaurants and violations (just the ones they were cited for more than 10 times), and include the following columns: • CAMIS • DBA • VIOLATION CODE • VIOLATION DESCRIPTION • Number of violations Order the results alphabetically by DBA # restaurants with more than two violation codes sql SELECT CAMIS, DBA, [violation code] as ViolCode, [violation description] as ViolDesc, %3D count(*) as NumViol FROM test_table GROUP BY CAMIS HAVING NumViol >2 ORDER BY DBA pd. read_sql(sql,conn)
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