- The Objective of Project is to analyse Uber trip data using Power BI to gain insights into booking trends, revenue, and trip efficiency, helping stakeholders make data-driven decisions.
- To understand trip patterns based on time, Uber needs to analyse ride demand and trends across different time intervals. This dashboard will help in optimizing operations, pricing, and driver availability.
- To provide in-depth insights and allow users to explore granular data, a Grid Tab will be created. This tab will enable drill-through functionality, allowing users to access detailed records based on selections made in other dashboards.
- Uber Trip Data with 2 excel files.
- Location Table with 266 Rows and 3 Columns
- Uber Trip Details Table with 103729 Rows and 11 Columns
- Key Columns : �In Location Table : LocationID, Location, City�IN Uber Trip Table : Trip ID, Pickup Time, Drop off Time, Trip distance, Fare_amount, Vehicle, Payment_Type
- Total Bookings – How many trips were booked over a given period?
- Total Booking Value – What is the total revenue generated from all bookings?
- Average Booking Value – What is the average revenue per booking?
- Total Trip Distance – What is the total distance covered by all trips?
- Average Trip Distance – How far are customers traveling on average per trip?
- Average Trip Time – What is the average duration of trips?
- Most Frequent Pickup Point
- Most Frequent Drop-off Point
- Farthest Trip
- Total booking by Location (Top 5)
- Most Preferred Vehicle for Location Pickup
