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This contains the flask api and the front end of our big data project. Front end is created using Jinja2 and the dataset used is of Yelp and loaded in MySQL.

Python 42.90% HTML 57.10%

yelp-review-analyzer's Introduction

YELP Review Analyzer

In this project, we demonstrated understanding of database normalizing using YELP dataset. Restructured the database to enable faster access and avoid the expensive join operations. A Flask application is built uisng this new dataset to handle more complex queries.

Table of Contents

  1. Pre-requisite
  2. Implementation
  3. Technologies Used

Pre-requisite

Install requirements.txt using pip install -r requirements.txt.

Implementation

  • Clone this respository.

  • Move into current Project directory.

  • Create a MySQL database with new table structure and corresponding column names.

  • Run command: export FLASK_APP=app

  • Run command: flask run

Technologies Used

  • Flask
  • Python
  • Bootstrap

Technologies Used

  • Flask
  • MySQL

yelp-review-analyzer's People

Contributors

aamirjamal avatar atlas1408 avatar karanmanghi avatar

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