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Uber Data Analysis

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 main use data regarding Uber ride.

To Determine following data from the dataset using Python:

  1. Check how long do people travel with Uber?

  2. What Hour Do Most People Take Uber To Their Destination?

  3. Check The Purpose Of Trips Which Day Has The Highest Number Of Trips What Are The Number Of Trips Per Each Day?

  4. What Are The Trips In The Month The starting points of trips.

  5. Where Do People Start Boarding Their Trip From Most?

Authors

Installation

To install the libraries used in this project. Follow the below steps:

import pandas as pd
import numpy as np
import datetime
import matplotlib
import matplotlib.pyplot as plt
import seaborn as sns
import calendar

Running Flask Api

To run tests, run the following command

  python app.py

🚀 About Me

Data Scientist Enthusiast | Petroleum Engineer Graduate | Solving Problems Using Data

Hi, I'm Akash! 👋

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👩‍💻 I’m interested in Petroleum Engineering

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  2. Data Analyst
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To Determine UBER data from the dataset using Python

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