databeredning
Databeredning is a Swedish term that translates to "data preparation" or "data wrangling" in English. It refers to the comprehensive process of cleaning, transforming, and organizing raw data into a format that is suitable for analysis, machine learning, or other data-driven applications. This stage is crucial in any data science workflow as it directly impacts the quality and reliability of the subsequent insights derived from the data.
The steps involved in databeredning can vary widely depending on the nature of the data and the
Effective databeredning requires a deep understanding of the data's context and potential sources of error. It