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.

I mainly use data regarding Uber ride

I 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

I 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

• Python

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