Uber and lyft data visualization, comparision and many analysis with python
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Updated
Mar 23, 2022 - Jupyter Notebook
Uber and lyft data visualization, comparision and many analysis with python
This project analyzes Uber trip data using Power BI to identify trends and patterns in ride demand. Data cleaning and transformation were performed using Power Query, and an interactive dashboard was developed to visualize key insights such as peak hours and location-based trip distribution.
Professional Power BI dashboard analyzing Uber ride patterns, booking behaviors, and operational metrics with 62.01% completion rate and interactive analytics
Uber Ride Analysis Dashboard built using Power BI to analyze booking trends, revenue patterns, customer behavior, and ride performance insights.
Uber ride data analysis dashboard built with Power BI for revenue, bookings, rider behavior, and demand insights.
Interactive Power BI dashboard analyzing Uber trip bookings, revenue trends, vehicle performance, location insights, and customer behavior using Excel, Power BI, DAX, and Power Query.
Power BI Dashboard for Uber Trips Analysis
SQL analysis segmenting promo-driven riders into Promo Hunters vs. Organic Riders, calculating campaign ROI and subsidy payback period using window functions and conditional aggregation.
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