Welcome to the Quera Data Analysis Bootcamp Project repository! This project aims to extract, analyze, and visualize data related to books from the iranketab website. It involves a comprehensive approach, including data extraction, database design, dashboard creation, and statistical analysis.
The primary goal of this project is to build a book bank by extracting and analyzing information about books available on the iranketab website. The project is structured into several phases, including:
-
Data Extraction: Extracting and cleaning information from the iranketab website, covering various book attributes such as title, author, price, and more.
-
Database Design: Designing a well-structured database to store the extracted information, ensuring optimal normalization and relationships between tables.
3. Dashboard Development: Creating an interactive dashboard using Python's Streamlit library to visualize and analyze the data. The dashboard includes analytical charts and advanced search features for users.
- Statistical Analysis: Testing and validating hypotheses related to book attributes, such as the impact of translation on book prices and the price difference between hardcover and paperback editions.
-
Data Extraction: Utilizes Python libraries for web scraping and data cleaning to gather book information.
-
Database Management: A well-designed and normalized database schema for efficient data storage.
-
Interactive Dashboard: A user-friendly interface for exploring book data, filtering, and conducting advanced searches.
-
Statistical Analysis: Hypothesis testing and data-driven insights.
To get started with this project, follow these steps:
-
Clone the repository to your local machine: git clone The URL
-
Install the required Python libraries: pip install -r requirements.txt
-
Run the main application: python main.py
-
Access the dashboard in your web browser at
http://localhost:8501.
We welcome contributions from the community! If you'd like to contribute to this project, please follow the contributing guidelines.
This project is licensed under the MIT License - see the LICENSE.md file for details.
We would like to express our gratitude to the mentors and instructors at Quera Data Analysis Bootcamp for their guidance and support throughout this project.
Thank you for your interest in our Quera Data Analysis Bootcamp Project!
Happy Data Analyzing!