my_data in R, write R code to write the data frame into a .csv file named “my_data_no_name.csv” without column names.my_data in R which contains NA values, write R code to write the data frame into a delimited file called “my_data_na.csv” with # as the delimiter and use 999 as the indicator for missing values.* as the delimiter and the file is located in the current working directory. Write R code to read the file into an object with name my_data.## Rows: 3 Columns: 3
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (3): X1, X2, X3
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Which of the following are the column names of the d1?
X1, X2, and X3x, y, and z## Warning: One or more parsing issues, see `problems()` for details
## Rows: 4 Columns: 1
## ── Column specification ────────────────────────────────────────────────────────
## Delimiter: ","
## chr (1): The first line
##
## ℹ Use `spec()` to retrieve the full column specification for this data.
## ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
Which of the following are the column names of the d1?
2.TrueelseI_am_not_a_valid_nameI_am_a_Pretty#_namevec_1 with values (7, 24, 8, 26), get its length, and find out its type.char_1 with values (“I”, “am”, “learning”, “R!”), get its length, find out its type, and concatenate the vector into a single string with space as the separator.char_1 defined in Q2, find the number of characters in each string, and convert each string to upper case.vec_1 and char_1 are of character type.class1 <- c(7, TRUE). Which of the following is the class of class1?class2 <- c(7, TRUE, "char"). Which of the following is the class of class2?rep() function to create the stringc("sheep","pig", "cat","sheep","pig", "cat","sheep","pig", "cat")
rep() function to create the stringc("sheep","sheep","pig","pig","pig","pig","cat","cat","cat")