SQL’s ability to manipulate data makes it relevant for people creating tools for data analysis. Analysts can create specific and customized queries to extract essential data subsets, making it easier to begin exploring and comprehending the dataset. Additionally, it is important in data transformation because it offers a variety of tools for standardizing, cleaning, and preprocessing data.
This guarantees that the data is of the appropriate quality and format for thorough examination. Additionally, SQL makes data exploration easier by enabling users to assess data distributions, extract attributes, and learn more about the dataset’s features. It also provides strong support for