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Estimates the projected loss of income of users who are on strike assuming they are taking time from working full-time to be on strike.

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casychow/sag_strike_income_impact

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SAG-AFTRA Strike Potential Impact on Income Calculator

The members of SAG-AFTRA (Screen Actors Guild and American Federation of Television and Radio Artists) and their allies are on strike about unfair labor situations in Hollywood. Some actors have cited the lack of residuals as reasons for going on strike; despite appearing on popular TV shows as series regulars or guests, they are being paid pennies.

This project shows how much an actor's finances could be impacted based on their expected work hours, their hourly wage[1], their expected overtime work hours, and their overtime hourly wage[2].

[1] Note: the hourly wage is assumed to be constant for this project

[2] Note: the overtime hourly wage is also assumed to be constant

Requirements

  • Python 3
  • Tkinter library

Instructions

  1. Download the tkinter_sag_strike_calculator.py file
  2. Open a command prompt and change the working directory to the location of the downloaded file
  3. Run python tkinter_sag_strike_calculator.py
    • Press Quit to quit the program or click on the X at the top right of the window

Calculator

sag_strike_cost_calculator

Inputting information

sag_strike_cost_calculator_input_v0_1

Outputting information

sag_strike_cost_calculator_output_v0_1

To-Do:

  • make moving table entries easier when adding new features/boxes instead of recalculating all object placement, OR use .grid
  • allow different tabs of program
    • data from previous tab should be there when tabs change - aka, save all data
  • table to insert estimated pay for which dates, taxes, actual pay, % loss, payday
    • make this on another tab of the project
  • export to csv file
  • import from csv file
  • calculate average tax -> use to tune actual pay and % loss
  • another section: budget for living expenses (eg. rent, food) and port data from previous section (eg. actual pay)

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Estimates the projected loss of income of users who are on strike assuming they are taking time from working full-time to be on strike.

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