The provided CSV file contains logistics data from Delhivery, a logistics and supply chain company in India. The data includes various details about trips, routes, and delivery performance. Here’s a breakdown of the key columns and their potential use for analysis:
Dataset is available here : https://www.kaggle.com/datasets/devarajv88/delhivery-logistics-dataset
Key Columns:
- data: Indicates whether the data is for training or testing purposes.
- trip_creation_time: The timestamp when the trip was created.
- route_schedule_uuid: A unique identifier for the route schedule.
- route_type: The type of route (e.g., Carting, FTL).
- trip_uuid: A unique identifier for the trip.
- source_center: The source center code.
- source_name: The name of the source center.
- destination_center: The destination center code.
- destination_name: The name of the destination center.
- od_start_time: The start time of the origin-destination trip.
- od_end_time: The end time of the origin-destination trip.
- start_scan_to_end_scan: The duration (in minutes) from the start scan to the end scan.
- is_cutoff: Indicates whether the trip was cut off (True/False).
- cutoff_factor: A factor related to the cutoff.
- cutoff_timestamp: The timestamp when the cutoff occurred.
- actual_distance_to_destination: The actual distance to the destination.
- actual_time: The actual time taken for the trip.
- osrm_time: The time calculated by the Open Source Routing Machine (OSRM).
- osrm_distance: The distance calculated by OSRM.
- factor: A factor related to the trip.
- segment_actual_time: The actual time taken for a segment of the trip.
- segment_osrm_time: The OSRM-calculated time for a segment.
- segment_osrm_distance: The OSRM-calculated distance for a segment.
- segment_factor: A factor related to the segment.
Delayed Shipments (%) =
DIVIDE(
COUNTROWS(FILTER(delhivery, delhivery[is_cutoff] = FALSE)),
[Total Shipments],
0
) * 100
On-Time Deliveries (%) =
DIVIDE(
COUNTROWS(FILTER(delhivery, delhivery[is_cutoff] = TRUE)),
[Total Shipments],
0
) * 100