What are some popular data wrangling tools?
Some popular data wrangling tools include Pandas, Dplyr, and Apache Spark. Do you want to know more about any specific tool?
Can you explain how Pandas works?
Pandas is a Python library that provides data structures like DataFrames for data manipulation and analysis. It allows you to clean, transform, and analyze data efficiently.
What are the main features of Dplyr?
Dplyr is an R package that offers a set of functions for data manipulation, including filtering, selecting, and summarizing data. It's designed for speed and ease of use.
How does Apache Spark handle large datasets?
Apache Spark processes large datasets in parallel across a cluster of computers, making it highly efficient for big data tasks.
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