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Write queries that provide the information asked by each question. Your queries should extract the answers directly. If you need additional step (e.g., hand counting the number of rows) to get the answer after running a query, the query is not considered as the right query for the question. Copy and paste your queries and result table to a Word file and upload it on Canvas. There are two csv files: visit.csv and patient.csv. Below is the description of the data in each File. The visit.csv contains data for 17,580 emergency room (ER) visits: Description ID for each unique visit. ID for each unique patient. Reason for each ER visit. The values include: 'Pain back', Breathing', etc. Urgency of the visit reason. The values include: 'Lowest', 'Low', 'Medium', 'High', 'Highest', 'Unknown’. How a patient is transported to the emergency room. The values include: Private Vehicle, EMS Ground, EMS Air, Walk, Public Trans, Police/Jail. Whether a patient is admitted to hospital after the emergency room Column Name VisitID PatientID VisitReason 'Difficulty Urgency ArrivalMode HospAdmit visit. The values include: 'Yes' or 'No'. Cost of emergency room visit. Date of arrival to emergency room. Date of discharge from emergency room. Cost ArrivalDate DischargeDate The visit.csv (described above) includes data for 13,390 patients. The information for all these patients is stored in patient.csv: Column Name Description ID for each unique patient. PatientID Gender Gender of a patient. The value is either 'Male' or 'Female'. Age Age of a patient.

Write queries that provide the information asked by each question. Your queries should extract the answers directly. If you need additional step (e.g., hand counting the number of rows) to get the answer after running a query, the query is not considered as the right query for the question. Copy and paste your queries and result table to a Word file and upload it on Canvas. There are two csv files: visit.csv and patient.csv. Below is the description of the data in each File. The visit.csv contains data for 17,580 emergency room (ER) visits: Description ID for each unique visit. ID for each unique patient. Reason for each ER visit. The values include: 'Pain back', Breathing', etc. Urgency of the visit reason. The values include: 'Lowest', 'Low', 'Medium', 'High', 'Highest', 'Unknown’. How a patient is transported to the emergency room. The values include: Private Vehicle, EMS Ground, EMS Air, Walk, Public Trans, Police/Jail. Whether a patient is admitted to hospital after the emergency room Column Name VisitID PatientID VisitReason 'Difficulty Urgency ArrivalMode HospAdmit visit. The values include: 'Yes' or 'No'. Cost of emergency room visit. Date of arrival to emergency room. Date of discharge from emergency room. Cost ArrivalDate DischargeDate The visit.csv (described above) includes data for 13,390 patients. The information for all these patients is stored in patient.csv: Column Name Description ID for each unique patient. PatientID Gender Gender of a patient. The value is either 'Male' or 'Female'. Age Age of a patient.

Database System Concepts
Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
Section: Chapter Questions
Problem 1PE
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Write queries that provide the information asked by each question. Your queries should extract the answers directly. If you need additional step (e.g., hand counting the number of rows) to get the answer after running a query, the query is not considered as the right query for the question. Copy and paste your queries and result table to a Word file and upload it on Canvas. There are two csv files: visit.csv and patient.csv. Below is the description of the data in each File. The visit.csv contains data for 17,580 emergency room (ER) visits: Column Name Description ID for each unique visit. ID for each unique patient. Reason for each ER visit. The values include: 'Pain back’, 'Difficulty Breathing', etc. Urgency of the visit reason. The values include: 'Lowest', 'Low', 'Medium', 'High’, 'Highest’, 'Unknown’. How a patient is transported to the emergency room. The values include: Private Vehicle, EMS Ground, EMS Air, Walk, Public Trans, Police/Jail. Whether a patient is admitted to hospital after the emergency room VisitID PatientID VisitReason Urgency ArrivalMode HospAdmit visit. The values include: 'Yes' or 'No’. Cost of emergency room visit. Date of arrival to emergency room. Date of discharge from emergency room. Cost ArrivalDate DischargeDate The vi: these patients is stored in patient.csv: (described above) includes data for 13,390 patients. The information for all Description ID for each unique patient. Column Name PatientID Gender Gender of a patient. The value is either 'Male' or 'Female'. Age Age of a patient.
Transcribed Image Text:Write queries that provide the information asked by each question. Your queries should extract the answers directly. If you need additional step (e.g., hand counting the number of rows) to get the answer after running a query, the query is not considered as the right query for the question. Copy and paste your queries and result table to a Word file and upload it on Canvas. There are two csv files: visit.csv and patient.csv. Below is the description of the data in each File. The visit.csv contains data for 17,580 emergency room (ER) visits: Column Name Description ID for each unique visit. ID for each unique patient. Reason for each ER visit. The values include: 'Pain back’, 'Difficulty Breathing', etc. Urgency of the visit reason. The values include: 'Lowest', 'Low', 'Medium', 'High’, 'Highest’, 'Unknown’. How a patient is transported to the emergency room. The values include: Private Vehicle, EMS Ground, EMS Air, Walk, Public Trans, Police/Jail. Whether a patient is admitted to hospital after the emergency room VisitID PatientID VisitReason Urgency ArrivalMode HospAdmit visit. The values include: 'Yes' or 'No’. Cost of emergency room visit. Date of arrival to emergency room. Date of discharge from emergency room. Cost ArrivalDate DischargeDate The vi: these patients is stored in patient.csv: (described above) includes data for 13,390 patients. The information for all Description ID for each unique patient. Column Name PatientID Gender Gender of a patient. The value is either 'Male' or 'Female'. Age Age of a patient.
What is the most common visit reason of patients in their 20s (Age 20~29)? Report the visit reason along with its occurrences (i.e., the number of ER visits). Name the number of occurrences as popular20sER. The result table should contain only one row and two columns.
Transcribed Image Text:What is the most common visit reason of patients in their 20s (Age 20~29)? Report the visit reason along with its occurrences (i.e., the number of ER visits). Name the number of occurrences as popular20sER. The result table should contain only one row and two columns.
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