https://github.com/ejw-data/python-employee-record-restructure

Short script extracting common work related personnel information into a more useable form and masking personal information. Data is fictitious.
https://github.com/ejw-data/python-employee-record-restructure

python

Last synced: over 1 year ago
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Short script extracting common work related personnel information into a more useable form and masking personal information. Data is fictitious.

• Host: GitHub
• URL: https://github.com/ejw-data/python-employee-record-restructure
• Owner: ejw-data
• Created: 2020-06-28T03:23:46.000Z (about 6 years ago)
• Default Branch: master
• Last Pushed: 2022-06-27T14:59:19.000Z (about 4 years ago)
• Last Synced: 2025-01-22T06:47:18.431Z (over 1 year ago)
• Topics: python
• Language: Python
• Homepage:
• Size: 630 KB
• Stars: 0
• Watchers: 2
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

          
# python-employee-record-restructure  

Auhtor:  Erin James Wills, ejw.data@gmail.com 

  

![Record Updates](./images/records-python.png)

Photo by [Mourizal Zativa](https://unsplash.com/@mourimoto?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) on [Unsplash](https://unsplash.com/s/photos/password?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText)




## Overview  

  

Short script used to practice extracting common work related personnel information into a more useable form and masking personal information that would not normally need to be seen by operations but yet still stored.  The data used by the script is a fake dataset.  





## Technologies    

*  Python




## Data Source  

This is a fake dataset that I found on the web.  No real personal information is contained in this repo.  I used this dataset to do a variety of testing including what is in this dataset which involves extracting general information and hiding personalized data such that users of the output data would not have sensitive information.  




## Setup and Installation  

1. Environment needs the following:  

    *  Python 3.6+   

    *  os

    *  csv

    *  time

1. Activate your environment

1. Clone the repo to your local machine

1. Navigate the terminal to the repo folder

1. In the terminal, run `python employee.py`