Could you please help me to solve the fifth question? by using the code in RStudio
Could you please help me to solve the fifth question? by using the code in RStudio
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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Question
Could you please help me to solve the fifth question? by using the code in RStudio
 alt="X DB2 4 Bpl
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C:/Users/bebo2/Downloads/Lab%20Assessment%201.pdf | alo O
1.
Create a dataframe named employee using data.frame() function that consists of all
information in the table below:
Emp_id
Emp_name
Year_join
Salary
1001
John
2012
700.5
1002
Mary
2013
525.0
1003
Sara
2014
755.5
1004
Lynda
Thomas
2014
900.2
1005
2015
875.8
1006
Dan
2015
500.7
1007
Jenny
2015
1000.0
1008
Sam
2015
655.8
1009
Ryan
2016
800.5
1010
Rick
2016
977.5
2.
Print the first 3 rows of the employee dataframe.
3.
Print all records that contain employee name and salary.
4.
Print the employee name that join after year 2014 by using subscript.
5.
Print all records that contain employee id, year join and salary by using subscript.
6.
Print records from row 3 to 7 that contain employee id and salary by using subscript.
7.
Print employee id, year join and salary for employee that joined before year 2016.
Show the employee dataframe after sorting by year join in descending order and by
salary in ascending order.
8.
9.
Print the summary statistics of the content of the employee dataframe.
10. Summarize the salary by year join by showing the mean value.
ENG E A
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ادارة و تحليل *
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C:/Users/bebo2/Downloads/Lab%20Assessment%201.pdf | alo O
1.
Create a dataframe named employee using data.frame() function that consists of all
information in the table below:
Emp_id
Emp_name
Year_join
Salary
1001
John
2012
700.5
1002
Mary
2013
525.0
1003
Sara
2014
755.5
1004
Lynda
Thomas
2014
900.2
1005
2015
875.8
1006
Dan
2015
500.7
1007
Jenny
2015
1000.0
1008
Sam
2015
655.8
1009
Ryan
2016
800.5
1010
Rick
2016
977.5
2.
Print the first 3 rows of the employee dataframe.
3.
Print all records that contain employee name and salary.
4.
Print the employee name that join after year 2014 by using subscript.
5.
Print all records that contain employee id, year join and salary by using subscript.
6.
Print records from row 3 to 7 that contain employee id and salary by using subscript.
7.
Print employee id, year join and salary for employee that joined before year 2016.
Show the employee dataframe after sorting by year join in descending order and by
salary in ascending order.
8.
9.
Print the summary statistics of the content of the employee dataframe.
10. Summarize the salary by year join by showing the mean value.
ENG E A
م اكتب هنا ل لبحث
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