analüüsiandmete

Analüüsiandmed refer to data that has been collected and processed for the purpose of analysis. This can encompass a wide range of information, depending on the context of the analysis. In scientific research, it might include experimental results, measurements, or observations. In business, it could involve sales figures, customer demographics, website traffic, or financial reports. In social sciences, it might include survey responses, interview transcripts, or demographic statistics. The key characteristic of analyüsidandmed is that they are not raw, unprocessed information but rather data that has undergone some form of organization, cleaning, or transformation to make it suitable for interpretation and drawing conclusions. The quality and relevance of analyüsidandmed are crucial for the validity and usefulness of any subsequent analysis. Data can be quantitative, meaning it can be measured numerically, or qualitative, meaning it describes qualities or characteristics. The process of preparing data for analysis, often referred to as data wrangling or data preprocessing, is a vital step that ensures the accuracy and reliability of the insights derived.