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The Pandas Workshop

You're reading from   The Pandas Workshop A comprehensive guide to using Python for data analysis with real-world case studies

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Product type Paperback
Published in Jun 2022
Publisher Packt
ISBN-13 9781800208933
Length 744 pages
Edition 1st Edition
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Authors (4):
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Blaine Bateman Blaine Bateman
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Blaine Bateman
William So William So
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William So
Saikat Basak Saikat Basak
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Saikat Basak
Thomas Joseph Thomas Joseph
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Thomas Joseph
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Table of Contents (21) Chapters Close

Preface 1. Part 1 – Introduction to pandas
2. Chapter 1: Introduction to pandas FREE CHAPTER 3. Chapter 2: Working with Data Structures 4. Chapter 3: Data I/O 5. Chapter 4: Pandas Data Types 6. Part 2 – Working with Data
7. Chapter 5: Data Selection – DataFrames 8. Chapter 6: Data Selection – Series 9. Chapter 7: Data Exploration and Transformation 10. Chapter 8: Understanding Data Visualization 11. Part 3 – Data Modeling
12. Chapter 9: Data Modeling – Preprocessing 13. Chapter 10: Data Modeling – Modeling Basics 14. Chapter 11: Data Modeling – Regression Modeling 15. Part 4 – Additional Use Cases for pandas
16. Chapter 12: Using Time in pandas 17. Chapter 13: Exploring Time Series 18. Chapter 14: Applying pandas Data Processing for Case Studies 19. Chapter 15: Appendix 20. Other Books You May Enjoy

Activity 3.01 – using SQL data for pandas analytics

As the data analyst at a supply company, you have been provided with a list of customers and orders for Q4 2020. The data is present in some tables in a database named supply_company.db, and you have been asked by the sales team to identify the largest purchasing customer for Q4.

Note

You can find the code for this activity at https://github.com/PacktWorkshops/The-Pandas-Workshop/tree/master/Chapter03/Activity03_01.

Follow these steps to complete this activity:

  1. For this activity, you will only need the pandas and sqlite3 libraries. Load them into the first cell of the notebook.
  2. Get the list of tables that are contained in the supply_company.db file. The database can be downloaded from https://github.com/PacktWorkshops/The-Pandas-Workshop/blob/master/Chapter03/datasets/supply_company.db.
  3. Use a pandas SQL method to load the table that contains the orders into a DataFrame.
  4. Determine the number of customers...
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