Dataset name : My Uber Drives (2016)
Dataset Contents:
- Geography: USA, Sri Lanka and Pakistan
- Time period: January - December 2016
- Unit of analysis: Drives
- Total Drives: 1,155
- Total Miles: 12,204
- contains Start Date, End Date, Start Location, End Location, Miles Driven and Purpose of drive (Business, Personal, Meals, Errands, Meetings, Customer Support etc.)
- Aim : To learn from the behavior of an ordinary Uber customer.
- Data acquisition
- Missing Value Handling
- Duplicate Rows Handling
- Renaming Columns
- Replace Null values
- Introduction of MONTH and Related Visualization
- Exploratory Data Analysis
- Questions :
- 1. Top 10 starting location
- 2. Which was the most Frequent Starting Point?
- 3. Top 10 STOP locations
- 4. Which was the most Frequent Stopping Point?
- 5. What is the number of trips per month?
- 6. What is the number of trips per day?
- 7. How many trips for each purpose?
- 8. How many trips in any particular day of all months (Category-wise) ?
- 9. How many trips in any weekday?
- 10. Is there any Round Trip? If, Yes, then How many Round Trips?
- 11. Calculate Ride durations and Analyse
- 12. Show Month-wise number of Uber Rides
- 13. At which day uber rides were mostly used?
- 14. Which was the Longest and the Shorest Ride Months (Based on Average Distance covered per month)?
- 15. When was the Max no. of Trips in a day generally?
- 16. Speed
- Save the Result
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8. How many trips in any particular day of all months (Category-wise) ?
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10. Is there any Round Trip? If, Yes, then How many Round Trips?
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14. Which was the Longest and the Shorest Ride Months (Based on Average Distance covered per month)?
- Every city has a speed limit. Speed limit visualisation? Higher speed limit in a city---more frequent stops--- low traffic--- More fuel savings
- Calculation: Related cities and their highest speed and lowest
- Introduce a column .