andmeanalüüside
Andmeanalüüsid are methods used to extract meaningful information from data. These techniques involve various statistical and computational approaches to identify patterns, trends, relationships, and anomalies within datasets. The primary goal of andmeanalüüsid is to transform raw data into actionable insights that can inform decision-making, support research, or improve processes.
The process typically begins with data collection, followed by data cleaning and preparation to ensure accuracy
Different types of andmeanalüüsid exist, each suited for specific purposes. Exploratory data analysis (EDA) is used