Project overview
In this project, you’ll assume the role of a data journalist to investigate potential bias in Fandango’s movie rating system. Applying your Python skills, you’ll statistically analyze movie ratings data to determine if there’s a significant difference between Fandango’s ratings and other rating systems.
This project allows you to develop your data analysis skills in a real-world context. You’ll learn to critically examine data sampling methods, compare frequency distributions, and draw meaningful conclusions from statistical metrics. These techniques will enhance your ability to uncover insights and trends in various datasets.
Objective: Analyze movie ratings data using Python and statistical analysis to determine if Fandango inflated ratings after a previous analysis revealed bias in their rating system.
Key skill required
To complete this project, it's recommended to build these foundational skills in Python
- Employing various sampling methods to sample data
- Measuring variables in statistics
- Identifying different types of variables
- Generating frequency distribution tables
- Creating visualizations to display frequency distributions
Projects steps
Step 1: Is Fandango Still Inflating Ratings?
Step 2: Understanding the Data
Step 3: Changing the Goal of our Analysis
Step 4: Isolating the Samples We Need
Step 5: Comparing Distribution Shapes for 2015 and 2016
Step 6: Comparing Relative Frequencies
Step 7: Determining the Direction of the Change
Step 8: Next steps
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