Data-Analysis-of-Uber-Data
Uber Technologies, Inc., commonly known as Uber, is an American technology company. Its services include ride-hailing, food delivery, package delivery, couriers, freight transportation, and, through a partnership with Lime, electric bicycle and motorized scooter rental.
We will mainly use data regarding Uber ride
we will use Python to analyze data from Uber.
Executive Summary
Throughout the analysis, I was able to pull out several interesting insights:
- Purpose Of Trips for meeting, meal/Entertain
- Friday Has The Highest Number of Trip
- 20 to 25th day has number of trips per each day
- 12th month the trips in the month
We will use Python to:
- Check how long do people travel with Uber?
- What Hour Do Most People Take Uber To Their Destination?
- Check The Purpose Of Trips
- Which Day Has The Highest Number Of Trips
- What Are The Number Of Trips Per Each Day?
- What Are The Trips In The Month
- The starting points of trips. Where Do People Start Boarding Their Trip From Most?
Prerequisites
Installation
Install libraries
pip install pandas
pip install numpy
pip install seaborn
pip install matplotlib
pip install plotly
Run
# Running Scraper File..
Data_Analysis_of_Uber_Data.ipynb