This is a subsample of the email dataset.
Format
A data frame with 50 observations on the following 21 variables.
- spam
Indicator for whether the email was spam.
- to_multiple
Indicator for whether the email was addressed to more than one recipient.
- from
Whether the message was listed as from anyone (this is usually set by default for regular outgoing email).
- cc
Number of people cc'ed.
- sent_email
Indicator for whether the sender had been sent an email in the last 30 days.
- time
Time at which email was sent.
- image
The number of images attached.
- attach
The number of attached files.
- dollar
The number of times a dollar sign or the word “dollar” appeared in the email.
- winner
Indicates whether “winner” appeared in the email.
- inherit
The number of times “inherit” (or an extension, such as “inheritance”) appeared in the email.
- viagra
The number of times “viagra” appeared in the email.
- password
The number of times “password” appeared in the email.
- num_char
The number of characters in the email, in thousands.
- line_breaks
The number of line breaks in the email (does not count text wrapping).
- format
Indicates whether the email was written using HTML (e.g. may have included bolding or active links).
- re_subj
Whether the subject started with “Re:”, “RE:”, “re:”, or “rE:”
- exclaim_subj
Whether there was an exclamation point in the subject.
- urgent_subj
Whether the word “urgent” was in the email subject.
- exclaim_mess
The number of exclamation points in the email message.
- number
Factor variable saying whether there was no number, a small number (under 1 million), or a big number.
Source
David Diez's Gmail Account, early months of 2012. All personally identifiable information has been removed.
Examples
index <- c(
101, 105, 116, 162, 194, 211, 263, 308, 361, 374,
375, 465, 509, 513, 571, 691, 785, 842, 966, 968,
1051, 1201, 1251, 1433, 1519, 1727, 1760, 1777, 1899, 1920,
1943, 2013, 2052, 2252, 2515, 2629, 2634, 2710, 2823, 2835,
2944, 3098, 3227, 3360, 3452, 3496, 3530, 3665, 3786, 3877
)
order <- c(
3, 33, 12, 1, 21, 15, 43, 49, 8, 6,
34, 25, 24, 35, 41, 9, 22, 50, 4, 48,
7, 14, 46, 10, 38, 32, 26, 18, 23, 45,
30, 16, 17, 20, 40, 47, 31, 37, 27, 11,
5, 44, 29, 19, 13, 36, 39, 42, 28, 2
)
d <- email[index, ][order, ]
identical(d, email50)
#> [1] TRUE