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Cab Data Analytics | Data Engineering and Data Analysis Project

Introduction

The goal of this project is to perform ETL and Data Analysis on Cab booking data with the help of Mage AI , MySQL and Looker Studio.

Technology Used

  • Programming Language - Python
  • Storage - Local Machine
  • MySQL
  • Looker Studio
  • Dokcer

Modern Data Pipeine Tool - https://www.mage.ai/

Downloaded via the Docker installation and ran the Mage AI in a Docker Container

Default Mage Port : 6789

Default MySQL Port : 3306

ER Diagram

Dataset Used

TLC Trip Record Data Yellow and green taxi trip records include fields capturing pick-up and drop-off dates/times, pick-up and drop-off locations, trip distances, itemized fares, rate types, payment types, and driver-reported passenger counts.

Dataset used : https://github.com/Atrij-Paul/Cab_DE_DA/blob/main/cab_data.csv

Data Analysis Report : https://github.com/Atrij-Paul/Cab_DE_DA/blob/main/Cab_Data_Analysis_Report.pdf

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This a Data Engineering and Data Analysis Project .

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