A dataset mimicking typical Digikam data (randomized rows)
Format
A data frame with 100 rows and 22 variables:
Xinteger Row names (read by R when reading the csv file)
Stationcharacter Camera
Speciescharacter Species
DateTimeOriginalcharacter Date and time
Datecharacter Date
Timecharacter Time
delta.time.secsinteger Time elapsed since this species was last seen at this camera (seconds). Not relevant because rows were permuted.
delta.time.minsdouble Time elapsed since this species was last seen at this camera (minutes). Not relevant because rows were permuted.
delta.time.hoursdouble Time elapsed since this species was last seen at this camera (hours). Not relevant because rows were permuted.
delta.time.daysdouble Time elapsed since this species was last seen at this camera (days). Not relevant because rows were permuted.
Directorycharacter Local directory where the original photo is
FileNamecharacter Name of the original photo on the local storage
EXIF.Modelcharacter Exif info
EXIF.Makecharacter Exif info
metadata_Speciescharacter Species (other column)
metadata_Numbercharacter Species count
metadata_Behaviourcharacter Tagged behaviors
metadata_Sexcharacter Tagged sex
n_imagesinteger Number of pictures associated to this event?
metadata_young_presentcharacter Tagged youngs (Yes/No)
metadata_Numberofindividualslogical Tagged number of individuals on the picture
HierarchicalSubjectcharacter Summary column for all metadata_...