1

R R

• .
• .csv
• .
• . fwf
• R ""

2

UCI

http://archive.ics.uci.edu/ml/machine-learning-databases/abalone/abalone.data

http://archive.ics.uci.edu/ml/machine-learning-databases/abalone/abalone.names

Rstudio ..

2.1

R url table

url <- "http://archive.ics.uci.edu/ml/machine-learning-databases/abalone/abalone.data" abalone <- read.table(url, sep = ",") 

Web

# (Do NOT include this code in your Rmd file!!!) # download copy origin <- 'http://archive.ics.uci.edu/ml/machine-learning-databases/abalone/abalone.data' destination <- 'abalone.data' download.file(origin, destination) 

# reading data from your working directory abalone <- read.table("abalone.data", sep = ",") 

/

# take a peek of first rows head(abalone) # take a peek of last rows tail(abalone) 

R str

# check data frame's structure str(abalone, vec.len = 1) 

2.2

R R

2.3

• column_names"7""

# your code 

• column_types R . R "7"" = = =

# your code 

• ""

# your code 

• table R .column_namescolumn_types str

# your code 

• . .csv 2 str

# your code 

• table 10 10 str

# your code 

• table 10 10 11-2020 str

# your code 

• table aba4 str

# your code 

• aba3 str

# your code 

 Length Diam Height Whole Shucked Viscera Shell Rings Min 0.075 0.055 0.000 0.002 0.001 0.001 0.002 1 Max 0.815 0.650 1.130 2.826 1.488 0.760 1.005 29 Mean 0.524 0.408 0.140 0.829 0.359 0.181 0.239 9.934 

• $

 length diam height whole shucked viscera shell rings Min 0.075 0.055 0.000 0.002 0.001 0.001 0.002 1 Max 0.815 0.650 1.130 2.826 1.488 0.760 1.005 29 Mean 0.524 0.408 0.140 0.829 0.359 0.181 0.239 9.934 SD 0.120 0.099 0.042 0.490 0.222 0.110 0.139 3.224 # your code 

• $

# your code 

• $

# your code 

3 "dplyr"

%>%"dplyr"

"dplyr"

""

"dplyr"""%>%

x %>% f y f x y

3.1

"dplyr""%>%"

• 5

# your code 

• 5

# your code 

• male_female

# your code 

• 125

# your code 

• 236

# your code 

# your code 

4

"dplyr"

UCI

http://archive.ics.uci.edu/ml/datasets/Pittsburgh+Bridges

http://archive.ics.uci.edu/ml/machine-learning-databases/bridges/bridges.names

http://archive.ics.uci.edu/ml/machine-learning-databases/bridges/bridges.data.version1

4.1

• .".data.version1"

4.2

# your code 

# your code 

# your code 

4.3

"dplyr"

# your code 

# your code 

# your code 

# your code 

# your code 

# your code