July 2019
Beginner to intermediate
740 pages
16h 52m
English
Content preview from Hands-On Data Analysis with Pandas
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Data cleaning
Once we have collected our data, brought it into a DataFrame object, and used the skills we discussed in Chapter 2, Working with Pandas DataFrames, to familiarize ourselves with the data, we will need to perform some data cleaning. An initial round of data cleaning on our dataframe will often give us the bare minimum we need to start exploring our data. Some essential data cleaning tasks to master include the following:
- Renaming
- Sorting and reordering
- Data type conversions
- Deduplicating data
- Addressing missing or invalid data
- Filtering to the desired subset of data
Data cleaning is the best starting point for data wrangling since having the data stored as the correct data types and easy-to-reference names will open up many ...
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