Your project should:
- Use a variable to store and print the data of your favorite movie.
- Use .loc to filter the data set to a genre, and store it in a new variable.
- Calculate the min, max, mean, and median of a column.
- Print how the min, max mean, and median compare to your favorite movie's value.
- Create a histogram and use a print statement to describe it.
- Create a scatter plot and use a print statement to describe the relationship between two variables.
You can extend your project further by:
- Plot your favorite movie
- Explore more data
- Visualize data creatively
The rotten_tomatoes_movies.csv data was originally scrapped by Stefano Leone and is available on Kaggle for CC0:Public Domain Use: https://www.kaggle.com/datasets/stefanoleone992/rotten-tomatoes-movies-and-critic-reviews-dataset?select=rotten_tomatoes_movies.csv
*If you used any code, ideas, images, or resources from another person or group of people, tell us about it here. Make sure it is in the public domain, has a license that allows you to use it, or is one of your own.
This is where you will write your main program.
README.md file give you more documentation and information about a program. They are super helpful for describing what a program should do, any issues you've encountered, changes you want to make, and more.
This is a csv file containing data scraped from Rotten Tomatoes by Stefano Leone. The data was made modified to make student usability easier. Modifications include: Creating the year_released column based on original_release_date, dropping NA values, and selecting out the columns: movie_title, year_released, critic_rating, audience_rating, genres.