Movie IMDb Data Analyzer with Python
Level 3: Real-World
Project Level 3: Real-World
This project is designed for learners who know Python fundamentals and are learning to build real-world programs.
Project Description
In this project, your task is to analyze data from IMDb about movies, their genres, release years, ratings, and more. Download the movies.csv file. Here are the first few rows of that file:
Expected Output
The goal is to visualize the movie ratings from the data given in the CSV file provided in the link above. Specifically, your program should generate a distribution of movie ratings as below:
The graph shows the frequency of each rating. For example, the ratings 8.5 and 8.6 are the most frequent ones happening in the CSV file.
We recommend to use pandas, matplotlib, and seaborn to come up with the above graph.
Learning Benefits
Learn how to load, analyze, and manipulate movie data using Pandas.
Understand how to visualize trends over time using line charts.
Gain skills in data exploration, sorting, and filtering.
Prerequisites
Required Libraries: pandas, matplotlib, seaborn
Install the libraries with:
pip install pandas matplotlib seaborn
Required Files: Download the movies.csv file.
IDE: Use any IDE.
Danger Zone
The solution code is hidden behind the button below. Click to reveal it.
Happy Coding!
Daily Python Projects Team
Hey Ardit! Great project for practice! How can I find such datasets for more movie reviews? I tried searching on Google but couldn't find a proper one.