Uber trips Data Analysis

The analysis is based on three main perspectives: category performance, trip purposes, and geographical insights.

1. Category Performance Analysis

A total of 1,154 trips were recorded, covering approximately 12.19K miles.

Trip Categories:

The majority of trips were classified as Business trips (93.33%, or 1,077 trips), while Personal trips accounted for only 6.67% (77 trips).

Business trips significantly dominate in terms of distance, with 11.5K miles compared to 0.7K miles for personal trips.

Monthly Trend:

Trip activity fluctuates over the year. Peaks are observed in March and September, while lower activity is seen in April and December.

2. Trip Purposes

Purpose Breakdown:

The most common trip purpose is categorized as unknown, representing 502 trips, followed by:

Meetings (186 trips)

Meal/Entertainment (160 trips)

Errands/Supplies (128 trips)

Customer Visits (101 trips)

Mileage by Purpose:

Similar to the trip count, the unknown purpose leads in mileage, followed by Meeting and Customer Visits.

Daily Trends:

There are notable spikes in trip mileage on certain days of the month, particularly around the 25th-30th.

Purpose Comparison:

Meeting and customer visit trips show the highest mileage after unknown purposes, indicating their importance in business operations.

3. Geographical Insights

Trip Start and Stop Locations:

Most trips originate and terminate at Unknown Locations, contributing significantly to the mileage (1,360.8 miles).

Other frequent locations include:

Morrisville → Cary (395.7 miles)

Cary → Durham (390.0 miles)

Raleigh → Cary (365.7 miles)

Global Distribution:

Trips are primarily concentrated in North America, with scattered trips in Europe, Asia, and Australia.

Notable Long-Distance Routes:

International trips include locations such as Islamabad and Lahore.

Key Insights and Recommendations

Business Dominance:

The data indicates that most trips are business-related, reflecting the company’s operational focus. This trend is also evident in the distance traveled for business versus personal purposes.

Purpose Clarification:

A large proportion of trips are marked as "unknown." Efforts should be made to improve data collection methods, ensuring trip purposes are consistently logged to enable better analysis and optimization.

Trip Optimization:

There is a high concentration of trips in certain regions (e.g., Cary, Durham, Morrisville). Consider optimizing routes and exploring cost-saving measures in these areas.

Seasonal Peaks:

Trip activity peaks in March and September. These months could be targeted for strategic planning or promotions.