data wrangling

پیشنهاد کاربران

process of cleaning, transforming, and preparing raw data for analysis. It involves tasks such as removing irrelevant or duplicate data, handling missing values, correcting data inconsistencies, and reformatting
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data to meet specific requirements. Data wrangling is an important step in the data analysis pipeline as it ensures that the data is in a usable and reliable format for further analysis or modeling.

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