Info about the status of riders and timings of orders on Swiggy and Zomato App.
Dataset Description
Rows of the dataset:-
- order_id : unique id for each order
- order_time: time of the creation of order by the client
- order_date : date of the order
- allot_time: time of allocation of order to the rider
- accept_time: time of acceptance of the order by the rider (if available)
- pickup_time: time of pickup of the order (if available)
- delivered_time: time of delivery of the order (if available)
- cancelled_time: time of cancellation of order (if the order was cancelled)
- cancelled: whether the order was cancelled
- rider_id: unique id for each rider
- first_miledistance: road distance fromdistance: road distance from rider’s location to the pickup location
- last_miledistance: road distance from pickup location to the delivery location
- allotted_orders: total number of orders allotted to the rider in the 30 days before (not including) orderdate
- delivered_orders: total number of orders delivered by the rider in the 30 days before (not including) order_date
-date - undelivered_orders: total number of orders allotted to but not delivered by the rider (i.e. cancelled) in the 30 days before (not including) orderdate
- lifetime_ordercount: total number of orders delivered by the rider at any time before orderdate
- reassigned_order: whether the order was reassigned to this rider
- reassignment_method: if the order was reassigned, whether the reassignment was done manually (by the ops team) or automatically
- reassignment_reason: a more detailed reason for the reassignment
- session_time: total time the rider had been online on orderdate before ordertime
Related Datasets
-
Zomato
@kaggle
-
APT Sandworm Dataset
@zenodo
-
Comboios Suprimidos
@ptgov
-
Number Of ICO Cases Received
@ukgov
-
Number Of ICO Cases: Upheld
@ukgov