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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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I got another error on google colab (python notebook) : (sqlite3.OperationalError) near "Where": syntax error [SQL: Select TotalPay, Count(*) as cnt From sal Group By TotalPay Where AVG TotalPay >- 250e00 Order By cnt] My code is def Avg_TotalPay_Job(): #Creating a lambda sqldf function which accepts an sql query and a set of environment variables #The lambda sqldf function stores the SQL query output in a dataframe pysqldf = lambda q3: sqldf (q3, globals()) #The SOL query for the Number of Complaints Per Agency q3= "*"Select TotalPay, Count(*) as cnt From sal Group By TotalPay Where AVG TotalPay >= 2500ee Order By cnt""" #Store the output of the SQL query as a dataframe df3 = pysqldf(q3) #Create a figure with the height of 3 and width of 7 fig = plt.figure(figsize=(7,3)) #Set the canvas dimensions for the figure axes = fig.add_axes ([0,8,1,1]) #Plot the bar chart based on the two attributes axes.bar(df3.TotalPay ,df3.cnt) #Set the X axis label axes.set_xlabel('Job Title') #Set the Y axis label axes.set_ylabel('Average Total Pay') #Rotate the X axis label to avoid overlapping labels and to show the Year plt.xticks(rotation=90) #Set the title of the bar chart axes.set_title('Average Total Pay Per Job Title')
Transcribed Image Text:I got another error on google colab (python notebook) : (sqlite3.OperationalError) near "Where": syntax error [SQL: Select TotalPay, Count(*) as cnt From sal Group By TotalPay Where AVG TotalPay >- 250e00 Order By cnt] My code is def Avg_TotalPay_Job(): #Creating a lambda sqldf function which accepts an sql query and a set of environment variables #The lambda sqldf function stores the SQL query output in a dataframe pysqldf = lambda q3: sqldf (q3, globals()) #The SOL query for the Number of Complaints Per Agency q3= "*"Select TotalPay, Count(*) as cnt From sal Group By TotalPay Where AVG TotalPay >= 2500ee Order By cnt""" #Store the output of the SQL query as a dataframe df3 = pysqldf(q3) #Create a figure with the height of 3 and width of 7 fig = plt.figure(figsize=(7,3)) #Set the canvas dimensions for the figure axes = fig.add_axes ([0,8,1,1]) #Plot the bar chart based on the two attributes axes.bar(df3.TotalPay ,df3.cnt) #Set the X axis label axes.set_xlabel('Job Title') #Set the Y axis label axes.set_ylabel('Average Total Pay') #Rotate the X axis label to avoid overlapping labels and to show the Year plt.xticks(rotation=90) #Set the title of the bar chart axes.set_title('Average Total Pay Per Job Title')
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