Adatkészítés
Adatkészítés is a Hungarian term that translates to data preparation or data wrangling in English. It refers to the entire 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 the data science workflow, as the quality of the prepared data directly impacts the accuracy and reliability of any subsequent insights or models.
The typical adatkészítés process involves several key steps. These often include data collection, which is gathering
Effective adatkészítés requires a good understanding of the data and the goals of the analysis. It can