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https://github.com/macnianios/fandango

a udemy project for seaborn data visualizations and basic pandas commands
https://github.com/macnianios/fandango

numpy pandas python seaborn seaborn-plots udemy-course-project

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a udemy project for seaborn data visualizations and basic pandas commands

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README

          

# Fandango

This is a project from the udemy class "Python for Machine Learning & Data Science Masterclass" , section 8: Data Analysis and Visualization Capstone Project Exercise
“This project investigates whether Fandango's movie ratings are inflated to encourage ticket sales."
https://www.udemy.com/course/python-for-machine-learning-data-science-masterclass

#Running the Notebook in Google Colab
1. Open Google Colab: Go to https://colab.research.google.com/.
2. Upload the Notebook:
3. Click on "File" -> "Upload notebook" and select "Project_Capstone.ipynb" from your local machine.
4. Alternatively, you can upload the entire project directory (including "Project_Capstone.ipynb") to your Google Drive and open the notebook directly from there.

#Methods Used

• Data Manipulation (pandas,numpy)

• Data Visualization(seaborn,matplotlib)

#DATA
• This is the data behind the story Be Suspicious Of Online Movie Ratings, Especially Fandango’s openly available on 538's github: https://github.com/fivethirtyeight/data. There are two csv files, one with Fandango Stars and Displayed Ratings, and the other with aggregate data for movie ratings from other sites, like Metacritic,IMDB, and Rotten Tomatoes.

#Results
• Clearly Fandango is rating movies much higher than other sites so it can sell more ticket for movies. Fandango uses a star rating system, which can lead to rounding up ratings. This might make movies appear more favorably compared to a system that uses decimals or half stars.