What is data wrangling?
An example of an AI chatbot conversation about data wrangling techniques and processes.
What is data wrangling?
Data wrangling is the process of cleaning and transforming raw data into a usable format for analysis.
Why is data wrangling important?
It's crucial because it ensures data quality and accuracy, which leads to better insights and decision-making.
What are the steps involved in data wrangling?
The main steps include data collection, cleaning, transforming, and enriching the data.
Can you give me an example of data wrangling?
Sure! An example is removing duplicates from a dataset and filling in missing values to prepare it for analysis.
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