Uber Trips Data Analysis and Visualization using Python.
While going through the analysis, it is vital to have in mind an objective. We will attempt to answer the following questions through visualization to see if we can find some meaningful insights from data.
- How many trips were traveled?
- How many trips were completed and canceled?
- Where did most of the layoffs take place?
- What type of product is most often selected?
- What a measure. fare, distance, amount, and time spent on the ride?
- Which days of the week have the highest fare?
- Which is the longest / shortest and most expensive / cheapest ride?
- What is the average lead time before requesting a trip?
The project is implemented using Python3.
The following frameworks are used in the implementation of the project.
1️⃣ Pandas
2️⃣ Seaborn