TrainingByPackt/Data-Wrangling-with-Python
Simplify your ETL processes with these hands-on data sanitation tips, tricks, and best practices
If you're a data professional, this project helps you prepare messy, real-world data from various sources like databases, web pages, or text files so it's ready for analysis or machine learning models. It covers extracting, cleaning, transforming, and formatting raw information. This is for data scientists, analysts, or anyone who frequently works with diverse datasets.
133 stars. No commits in the last 6 months.
Use this if you spend a significant amount of time cleaning and preparing data from different sources for your analytical projects.
Not ideal if you're looking for an automated, 'black-box' solution to data cleaning without needing to understand the underlying processes.
Stars
133
Forks
241
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Nov 08, 2021
Commits (30d)
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