Author(s): Benjamin Obi Tayo Ph.D.
Originally published on Towards AI.
Data wrangling is the process of converting data from its raw form to the tidy form ready for analysis. Data wrangling is an important step in data preprocessing and includes several processes like data importing, data cleaning, data structuring, string processing, HTML parsing, handling dates and times, handling missing data, and text mining.
The process of data wrangling is a critical step for any data scientist. Very rarely is data easily accessible in a data science project for analysis. It’s more likely for the data to be in a file, a database, or extracted from documents such as web pages, tweets,… Read the full blog for free on Medium.
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Published via Towards AI