Starting to Clean Data With Pandas
Are you starting to work with Pandas and Numpy data? How do you set up your environment to work with data, dataframes, and pandas? This set of lessons covers importing data, creating a dataframe, exploring data, and more.
If you’re just stepping into this field or planning to step into this field, it’s important to be able to deal with messy data, whether that means missing values, inconsistent formatting, malformed records, or nonsensical outliers.
This is a portion of the complete course, which you can find here:
https://realpython.com/courses/data-c...
The rest of the course covers:
- Working with .loc() and iloc()
- Dropping unnecessary columns in a DataFrame
- Changing the index of a DataFrame
- Using .str() methods to clean columns
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