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Practical Data Analysis Using Jupyter Notebook

You're reading from   Practical Data Analysis Using Jupyter Notebook Learn how to speak the language of data by extracting useful and actionable insights using Python

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Product type Paperback
Published in Jun 2020
Publisher Packt
ISBN-13 9781838826031
Length 322 pages
Edition 1st Edition
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Author (1):
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Marc Wintjen Marc Wintjen
Author Profile Icon Marc Wintjen
Marc Wintjen
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Table of Contents (18) Chapters Close

Preface 1. Section 1: Data Analysis Essentials
2. Fundamentals of Data Analysis FREE CHAPTER 3. Overview of Python and Installing Jupyter Notebook 4. Getting Started with NumPy 5. Creating Your First pandas DataFrame 6. Gathering and Loading Data in Python 7. Section 2: Solutions for Data Discovery
8. Visualizing and Working with Time Series Data 9. Exploring, Cleaning, Refining, and Blending Datasets 10. Understanding Joins, Relationships, and Aggregates 11. Plotting, Visualization, and Storytelling 12. Section 3: Working with Unstructured Big Data
13. Exploring Text Data and Unstructured Data 14. Practical Sentiment Analysis 15. Bringing It All Together 16. Works Cited
17. Other Books You May Enjoy

From SQL to pandas DataFrames

Now that we have some background on SQL and relational databases, let's download a local copy of an SQLite database file, set up a connection, and load some data into a pandas DataFrame. For this example, I have provided the database file named customer_sales.db so be sure to download it from the GitHub repository beforehand.

To give you some context about this database file and support the Know Your Data(KYD) concept that we learned in Chapter 1, Fundamentalsof Data Analysis, we have three tables named tbl_customers, tbl_products, and tbl_sales. This would be a simple example of any company that has customers who purchase products that generate sales over any period of time. A visual representation of how the data is stored and joined together, which is commonly known as an ERD (short for Entity Relationship Diagram), is shown in the following diagram:

In the preceding diagram, we have a...

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