دانلود کتاب آشپزی پاکسازی داده پایتون

Welcome to Packt Early Access. We’re giving you an exclusive preview of this book before it goes on sale. It can take many months to write a book, but our authors have cutting-edge information to share with you today. Early Access gives you an insight into the latest developments by making chapter drafts available. The chapters may be a little rough around the edges right now, but our authors will update them over time.You can dip in and out of this book or follow along from start to finish; Early Access is designed to be flexible. We hope you enjoy getting to know more about the process of writing a Packt book.
1. Chapter 1: Anticipating Data Cleaning Issues when Importing Tabular Data into Pandas
2. Chapter 2: Anticipating Data Cleaning Issues when Working with HTML, JSON, and Spark Data
3. Chapter 3: Taking the Measure of Your Data
4. Chapter 4: Identifying Missing Values and Outliers in Subsets of Data
5. Chapter 5: Using Visualizations for the Identification of Unexpected Values
6. Chapter 6: Cleaning and Exploring Data with Series Operations
7. Chapter 7: Working with Missing Data
8. Chapter 8: Fixing Messy Data When Aggregating
9. Chapter 9: Addressing Data Issues When Combining Data Frames
10. Chapter 10: Tidying and Reshaping Data
11. Chapter 11: Automate Data Cleaning with User-Defined Functions and Classes