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DataEngineering-WhitespaceAnalysis

This is the DataEngineering-WhitespaceAnalysis project, this project takes a Excel file and different argumentes from a web form and runs a query against the DB (depending if is USA/Canada), the data that is produced it is later transformed to a CSV file and latter clean and merge with the original Excel file.

Getting Started

1- Prerequisites

  • Anaconda - Anaconda allows us to keep virtual environments organize and it is the best setup tool for data analysis. This code needs python 3.7

2- Installing requirementes

$ git clone ~/DataEngineering-WhitespaceAnalysis.git
$ conda create -n WhitespaceAnalysis python=3.7
$ conda activate WhitespaceAnalysis
$ cd DataEngineering-WhitespaceAnalysis
$ pip install requirements.txt

3- Description

The process runs two different queries depending if the file that is being process is (USA/CANADA), these are the values that the web form needs to provide:

  • data_type ('US Zip Codes'/'CAN Postal Codes')
  • sheet_name (Excel Sheet Name)
  • code_column (Where the zip codes are)
  • data_column (Where the program should start writting the values)

Every time the process is run it producess a .log file "LOGGER.log", this file will help to debug/chatch up errors.

$ python main.py

Authors

  • Luis Fuentes
  • Marco Rodriguez

dataengineering-whitespacequery's People

Watchers

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