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Personal and Business Mileage Tracker
Data Science and Analytics
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About
This collection of data details recorded ride-sharing journeys, making it excellent for data analysis and visualisation projects focused on transportation patterns. The records document trip specifics, including precise start and end times, the distance travelled in miles, and the classification of the journey as either a business or personal engagement. It offers foundational insights into travel behaviours over a one-year period.
Columns
The dataset contains seven distinct fields providing metrics for each trip:
- START_DATE: The date and time when the ride commenced.
- END_DATE: The date and time when the ride concluded.
- CATEGORY: Designates the trip type, which is either 'business' or 'personal'.
- START: The initial location where the ride began.
- STOP: The final destination of the ride.
- MILES: The total distance covered during the journey.
- PURPOSE: A brief explanation detailing the reason for the ride, such as 'Meeting'.
Distribution
The data is provided in a CSV file format, named UberDataset.csv, and has a file size of approximately 87.66 kB. It primarily consists of 1,156 individual ride records. The majority of the location, time, and category fields contain 1,155 valid entries, with most columns showing no data quality issues related to mismatches.
Usage
This data product is ideally suited for a range of applications, including geographic mapping to identify high-traffic locations and common routes. It can be used for financial analysis, such as tracking business mileage and expenditure. Furthermore, it serves as an excellent resource for introductory data science projects focused on visualisation and exploration of travel trends.
Coverage
The data encompasses ride activity over a full calendar year. The trips range in time from the beginning of January 2016 through to the start of January 2017. Geographically, records show various starting and stopping points, with the location 'Cary' being noted as a very common origin and destination.
License
CC0: Public Domain
Who Can Use It
Intended users include data analysts seeking to model travel logistics, beginner data scientists practising fundamental data cleansing and visualisation skills, and researchers studying the economics and frequency of short-distance rides. It is particularly useful for tracking business travel metrics.
Dataset Name Suggestions
- Uber Rides Log 2016
- Annual Ride Activity Metrics
- Transport Data Sample
- Personal and Business Mileage Tracker
Attributes
Original Data Source: Personal and Business Mileage Tracker
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