March 2020
Beginner to intermediate
352 pages
8h 40m
English
Content preview from Hands-On Exploratory Data Analysis with Python
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Summary
In this chapter, we imported data from our own Gmail accounts in mbox format. Then, we loaded the dataset and performed some primitive EDA techniques, including data loading, data transformation, and data analysis. We also tried to answer some basic questions about email communication.
In the next chapter, we are going to discuss data transformation. Data transformation is one of the most important steps of data analysis, because the more qualitative your data is, the better your results.
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