(a) Write a program to read in the csv file called GYM (which is available on Canvas> Modules > Data). (b) Create a data set called MONEY from the following data: ID NAME INCOME 3 Klein $100.033 7 Cesar $22,999 8 Solanchick $52,300 1 Warlock $45.000 5 Cassidy $30,000 2 Volick $75,000 Notice that some of the names are more than eight characters long. (c) Merge the two data sets (GYM and MONEY) and call the merged data set GYM- MONEY, including only those IDs that are present in the GYM data set. Note that there are IDs for which there is no GYM data and vice versa. (d) Print out a list showing only ID, NAME, GENDER, and AGE. Have this list in ID order. GYM.CSV GENDER ID AGE VAULT FLOOR P_BAR M 3 8 7.5 7.2 6.5 F 5 14 7.9 8.2 6.8 F 2 ☐ 10 5.6 5.7 5.8 M 7 9 5.4 5.9 6.1 FL 6 158 8.2 8.2 7.9

MATLAB: An Introduction with Applications
6th Edition
ISBN:9781119256830
Author:Amos Gilat
Publisher:Amos Gilat
Chapter1: Starting With Matlab
Section: Chapter Questions
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Using SAS

(a) Write a program to read in the csv file called GYM (which is available on Canvas>
Modules > Data).
(b) Create a data set called MONEY from the following data:
ID
NAME
INCOME
3
Klein
$100.033
7
Cesar
$22,999
8
Solanchick
$52,300
1
Warlock
$45.000
5
Cassidy
$30,000
2
Volick
$75,000
Notice that some of the names are more than eight characters long.
(c) Merge the two data sets (GYM and MONEY) and call the merged data set GYM-
MONEY, including only those IDs that are present in the GYM data set.
Note that there are IDs for which there is no GYM data and vice versa.
(d) Print out a list showing only ID, NAME, GENDER, and AGE. Have this list in ID
order.
GYM.CSV
Transcribed Image Text:(a) Write a program to read in the csv file called GYM (which is available on Canvas> Modules > Data). (b) Create a data set called MONEY from the following data: ID NAME INCOME 3 Klein $100.033 7 Cesar $22,999 8 Solanchick $52,300 1 Warlock $45.000 5 Cassidy $30,000 2 Volick $75,000 Notice that some of the names are more than eight characters long. (c) Merge the two data sets (GYM and MONEY) and call the merged data set GYM- MONEY, including only those IDs that are present in the GYM data set. Note that there are IDs for which there is no GYM data and vice versa. (d) Print out a list showing only ID, NAME, GENDER, and AGE. Have this list in ID order. GYM.CSV
GENDER ID AGE VAULT FLOOR P_BAR
M
3 8 7.5
7.2
6.5
F
5 14 7.9
8.2
6.8
F
2
☐ 10 5.6
5.7
5.8
M
7 9
5.4
5.9
6.1
FL
6 158 8.2
8.2
7.9
Transcribed Image Text:GENDER ID AGE VAULT FLOOR P_BAR M 3 8 7.5 7.2 6.5 F 5 14 7.9 8.2 6.8 F 2 ☐ 10 5.6 5.7 5.8 M 7 9 5.4 5.9 6.1 FL 6 158 8.2 8.2 7.9
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