In this project, i explored the distribution of cars across USA & Canada. Visualizations were created based on the following:
- CORRELATION BETWEEN THE NUMBER OF CARS AND PRICES
- BASED ON CAR BRAND
- TITLE STATUS OF THE CARS
- HOW MANY CARS ORIGINATE FROM EACH COUNTRY
- THE RELATION BETWEEN THE MILEAGE & PRICE OF THE CARS
- PRICE RANGE OF VARIOUS CAR MODELS USING SEABORN BOXPLOT
- HOW MANY CARS COME FROM THE TOP 30 STATES IN USA, AS WELL AS CANADA
- THE CORRELATION HEATMAP OF THE DATASET
Jupyter Notebook
USA_cars_datasets.csv
The dataset is broken into 11 columns which includes:
- 'price'
- 'brand'
- 'model'
- 'year'
- 'title_status'
- 'mileage'
- 'color'
- 'lot'
- 'state' 10.'country' 11.'condition'