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.
COMPREHENSIVE MICROSOFT OFFICE 365 EXCE
1st Edition
ISBN:9780357392676
Author:FREUND, Steven
Publisher:FREUND, Steven
Chapter6: Creating, Sorting, And Querying A Table
Section: Chapter Questions
Problem 12AYK
Related questions
Question
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.
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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