Introduction: The "Bookstore Analytics" project involves the analysis of a dataset containing information about books available in an online bookstore. The dataset includes details such as the book title, price, ratings, and URL.
- Data Cleaning:
Remove unnecessary characters from the "Price" column.
Ensure consistent data types for accurate analysis.
- Exploratory Data Analysis (EDA):
Explore the distribution of book prices. Analyze the distribution of ratings. Investigate relationships between prices and ratings.
- Top Books:
Identify the top-rated books.
-Analyzing the interpretability of decision tree-based models in the context of credit approval.