Cleaning Data for Effective Data Science Doing the other 80% of the work with Python, R, and command-line tools.
Data in its raw state is rarely ready for productive analysis. This book not only teaches you data preparation, but also what questions you should ask of your data. It focuses on the thought processes necessary for successful data cleansing as much as on concise and precise code examples that expres...
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| Online Access: |
Full text (MCPHS users only) |
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| Main Author: | |
| Format: | eBook |
| Language: | English |
| Published: |
Packt Publishing
2021
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| Subjects: | |
| Local Note: | ProQuest Ebook Central |
