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Python Data Cleaning Cookbook

You're reading from   Python Data Cleaning Cookbook Modern techniques and Python tools to detect and remove dirty data and extract key insights

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Product type Paperback
Published in Dec 2020
Publisher Packt
ISBN-13 9781800565661
Length 436 pages
Edition 1st Edition
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Authors (2):
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Michael B Walker Michael B Walker
Author Profile Icon Michael B Walker
Michael B Walker
Michael Walker Michael Walker
Author Profile Icon Michael Walker
Michael Walker
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Table of Contents (12) Chapters Close

Preface 1. Chapter 1: Anticipating Data Cleaning Issues when Importing Tabular Data into pandas 2. Chapter 2: Anticipating Data Cleaning Issues when Importing HTML and JSON into pandas FREE CHAPTER 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: Fixing Messy Data when Aggregating 8. Chapter 8: Addressing Data Issues When Combining DataFrames 9. Chapter 9: Tidying and Reshaping Data 10. Chapter 10: User-Defined Functions and Classes to Automate Data Cleaning 11. Other Books You May Enjoy

Developing a merge routine

I find it helpful to think of merging data as the parking lot of the data cleaning process. Merging data and parking may seem routine, but they are where a disproportionate number of accidents occur. One approach to getting in and out of parking lots without an incident occurring is to use a similar strategy each time you go to a particular lot. It could be that you always go to a relatively low traffic area and you get to that area the same way most of the time.

I think a similar approach can be applied to getting in and out of merges with our data relatively unscathed. If we choose a general approach that works for us 80 to 90 percent of the time, we can focus on what is most important – the data, rather than the techniques for manipulating that data.

In this recipe, I will demonstrate the general approach that works for me, but the particular techniques I will use are not very important. I think it is just helpful to have an approach that...

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