What are some examples of data wrangling techniques?
An example of an AI chatbot conversation about data wrangling techniques and their applications.
What are some examples of data wrangling techniques?
Data wrangling involves cleaning and transforming raw data into a usable format. Examples include data merging, filtering, and reshaping.
Can you explain how to merge datasets?
Sure! Merging datasets typically involves combining two or more datasets based on a common key or identifier, using functions like 'merge' in Python's pandas library.
What tools can I use for data wrangling?
Popular tools for data wrangling include Python with pandas, R with dplyr, and software like Tableau and Alteryx.
How do I handle missing values in my dataset?
You can handle missing values by either removing them, filling them with a specific value, or using techniques like interpolation.
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