Datasets:
metadata
language:
- en
task_categories:
- time-series-forecasting
Traqq Anonymized Users Weekly Activity
The dataset represents the weekly time and activity of a real company's employees using the Track time tracking system from July 24 to 28. Each row in the data represents an individual employee and their activity for that day.
Curated by:
[traqq.com]
Glossary
The columns in the dataset are:
- user_id: the unique identifier for each employee -
- user_date: the date of the activity
- start_time: the time the employee began working on that day
- end_time: the time the employee finished working
- work_duration: the total number of seconds the employee worked that day
- activity_percentage: the average activity level of the user on that day (0-100)
- duration_manual: the number of manual work hours added by the user that day
- duration_idle: the number of idle time (non-working) hours that day
- duration_deleted: the number of hours of work that were deleted by the user