#If your assignment does not render, you might need to install.packages("htmltools")
Read the StudentSurvey into this markdown and answers the following questions
#read the StudentSurvey.csv in here
student_df<- read.csv("StudentSurvey.csv")
#check the head of the data set
top6 <- head(student_df)
top6
## Year Sex Smoke Award HigherSAT Exercise TV Height Weight Siblings
## 1 Senior M No Olympic Math 10 1 71 180 4
## 2 Sophomore F Yes Academy Math 4 7 66 120 2
## 3 FirstYear M No Nobel Math 14 5 72 208 2
## 4 Junior M No Nobel Math 3 1 63 110 1
## 5 Sophomore F No Nobel Verbal 3 3 65 150 1
## 6 Sophomore F No Nobel Verbal 5 4 65 114 2
## BirthOrder VerbalSAT MathSAT SAT GPA Pulse Piercings
## 1 4 540 670 1210 3.13 54 0
## 2 2 520 630 1150 2.50 66 3
## 3 1 550 560 1110 2.55 130 0
## 4 1 490 630 1120 3.10 78 0
## 5 1 720 450 1170 2.70 40 6
## 6 2 600 550 1150 3.20 80 4
#check the dimensions
dim(student_df)
## [1] 79 17
#create a table of students'sex and "HigherSAT"
table(student_df$Sex, student_df$HigherSAT)
##
## Math Verbal
## F 25 15
## M 24 15
# Display summary statistics for VerbalSAT
summary(student_df$VerbalSAT)
## Min. 1st Qu. Median Mean 3rd Qu. Max.
## 420.0 550.0 580.0 583.2 630.0 720.0
#Find the average GPA of students
mean(student_df$GPA)
## [1] 3.169114
#Create a new dataframe, call it "column_df". This new dataframe should contain students' weight and number of hours the exercise
column_df <- c(student_df$Weight, student_df$Exercise); column_df
## [1] 180 120 208 110 150 114 128 235 115 140 135 110 99 165 120 154 110 145
## [19] 195 200 167 175 155 185 190 165 175 126 187 170 158 119 205 129 145 130
## [37] 215 135 145 98 150 159 174 160 165 161 130 175 255 160 160 95 115 120
## [55] 135 180 155 110 215 140 195 185 185 209 145 180 170 135 165 137 147 150
## [73] 155 160 130 180 150 205 115 10 4 14 3 3 5 10 13 12 12 6
## [91] 10 3 7 2 14 10 14 20 7 12 10 6 14 12 10 8 0 10
## [109] 6 5 24 2 10 6 5 5 12 2 7 15 5 7 15 8 14 4
## [127] 15 4 15 3 3 15 20 3 6 12 4 20 10 10 4 9 12 2
## [145] 2 5 5 6 10 4 5 17 7 2 8 1 14 12
#Access the fourth element in the first column from the StudentSurvey's dataset.
student_df[1,4]
## [1] "Olympic"