This Python project provides a versatile CarAnalyzer class to analyze car data loaded from a JSON file.

• Data Loading: Loads car data from JSON files.
• Unique Car Count: Calculates the number of distinct cars in the dataset.
• Average Horsepower: Computes the average horsepower of all cars.
• Top 5 Heaviest Cars: Identifies the top 5 heaviest cars based on the "weight" column.
• Car Count by Manufacturer: Counts the number of cars manufactured by each brand.
• Car Count per Year: Counts the number of cars manufactured each year.
• CSV Export: Saves the loaded car data to a CSV file for further analysis.

To install this package, run the following command in your terminal:

python setup.py bdist_wheel sdist

pip install .

1. Import the CarAnalyzer class:

from carsanalyzer import CarAnalyzer

2. Create an instance of CarAnalyzer:

analyzer = CarAnalyzer()

3. Call the desired methods to analyze the data:

load_data_from_json(): Loads the JSON file

get_unique_car_count(): Returns the number of unique cars.

get_average_horsepower(): Returns the average horsepower.

get_top_five_heaviest_cars(): Returns a DataFrame of the top 5 heaviest cars.

get_cars_count_by_manifacturer(): Returns a Series count of cars by manufacturer.

get_cars_count_per_year(): Returns a Series count of cars made each year.

save_data_to_csv(output_file="analyzed_cars.csv"): Saves the data to a CSV file (optional, default output "analyzed_cars.csv").

This project requires the following Python libraries:

pandas