Skip to content

bshroats5/Monopoly

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

41 Commits
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 

Repository files navigation

Monopoly Project

Overview

I wanted to do this project after I lost a game to my 7 year old daughter and I do not want to ever lose another game. I set out to answer three questions about the game of Monopoly. I play way to much of this game on my phone and with board game to ever lose to my child again.

Method

The first thing I did was go out and find some data and I feel I hit the jackpot. I found some data sets that featured over 60,000 games recorded over a time. My original plan was to include some data from the Monopoly app on my phone but that was not needed after hitting the data jackpot. The challenge was to sift through the data and see exactly what data was needed.

The next step was to clean the data and transform it to into one data set.

Program Features

The first question was what is the most valuable color set to buy in the game. I had believed it was the Orange properties but I wanted data to confirm my belief or educate me on what is the true best color set in the game.

The second question is the inverse of the first question. What is the worst property to invest in during the game? My assumption had always been it was the Brown color set but again wanted a data driven decision to confirm my belief.

The third question was if I am unavailable then what color sets should I go after or to try and collect to give my self the best chance to win.

Virtual Enviroment

What is a Virtual Environment? A virtual environment is a self-contained Python environment that isolates your project from the system-wide Python installation. It allows you to manage dependencies, install packages, and avoid conflicts between different projects.

Creating a Virtual Environment Using venv (Python 3.3+):

  1. Open your terminal or command prompt.
  2. Navigate to the directory where you want to create your virtual environment.
  3. Run the following command: python -m venv myenv Replace myenv with your desired environment name.

Activating the Virtual Environment: On Windows: myenv\Scripts\activate

On macOS/Linux: source myenv/bin/activate

Deactivating the Virtual Environment: Simply run: deactivate

Benefits of Using Virtual Environments: Isolation: Your project won’t interfere with the system Python or other virtual environments. Multiple Python Versions: Easily create environments for different Python versions. No Admin Privileges Needed: Install packages without admin rights. Replicability: Share your environment setup with other developers.

Results

What I learned was out of 60,000 rolls of dice that Jail was the most landed on space. It makes sense because there are many ways to land on that space vs the other properties only have 1 or 2 ways to land on them. I had always thought that the Orange properties were the best properties and the data confirmed that hypothesis. All three orange properties appear in the top 12 in the most landed on properties.The railroads also are great properties to invest in as they are among the most landed on properties. The one downfall to the railroads is they max out at $200 if you own all of them. However, you can get up to $2,000 if you have a hotel on an orange property.

The Utilities are not great properties to land on as they are not landed on as often. Surprisingly, the Chance Cards and Community Chests cards are not landed on often. One result that surprised me was the Income Tax and Luxury Tax not being landed on. That confirms my life analysis of just constantly having bad luck as I am always landing on those penalties. The biggest temptation in the game is the dark blue properties (Park Place and Boardwalk). However, that is a bad idea. They are the second least landed on properties.

Visuals

For more visuals please visit my Tableau page at https://public.tableau.com/app/profile/bret.shroats/vizzes

Sources

Data World https://data.world/dataremixed/monopoly-board-frequencies-and-economics

About

No description, website, or topics provided.

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published