exp_num_dt is a fictitious set of data describing
1000 non-existing, but surprisingly friendly people.
exp_num_dtA table with 1000 cases (rows) and 15 variables (columns).
Codebook The data characterize 1000 individuals (rows) in 15 variables (columns):
1. name: Participant initials.
2. gender: Self-identified gender (as a binary variable).
3. bday: Day (within month) of DOB.
4. bmonth: Month (within year) of DOB.
5. byear: Year of DOB.
6. height: Height (in cm).
7. blood_type: Blood type.
8. bnt_1 to 11. bnt_4: Correct response to corresponding BNT question? (1: correct, 0: incorrect).
12. g_iq and 13. s_iq: Scores from two IQ tests (general vs. social).
14. t_1 and 15. t_2: Study start and end time.
exp_num_dt was generated for practice purposes.
It allows
(1) converting data tables from wider into longer format,
(2) dealing with date- and time-related variables, and
(3) computing, analyzing, and visualizing test scores (e.g., numeracy, IQ).
The gender variable was converted into a binary variable
(i.e., using 2 categories "female" and "not female").
Other datasets:
Bushisms,
Trumpisms,
countries,
data_1,
data_2,
data_t1,
data_t1_de,
data_t1_tab,
data_t2,
data_t3,
data_t4,
dt_10,
exp_wide,
falsePosPsy_all,
fame,
flowery,
fruits,
i2ds_survey,
outliers,
pi_100k,
posPsy_AHI_CESD,
posPsy_long,
posPsy_p_info,
posPsy_wide,
t3,
t4,
t_1,
t_2,
t_3,
t_4,
table6,
table7,
table8,
table9,
tb