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Data analytics is the process of examining, cleaning, transforming, and modeling data to extract useful information, draw conclusions, and support decision-making. It involves the use of various techniques and tools to analyze data, uncover patterns, trends, and insights, and derive meaningful conclusions.
Key components of data analytics include:
Data Collection: Gathering relevant data from various sources, which may include databases, spreadsheets, text files, sensors, and more.
Data Cleaning and Preprocessing: Ensuring that the collected data is accurate, complete, and formatted correctly. This step may involve handling missing values, removing duplicates, and transforming data into a suitable format.
Data Exploration: Examining and summarizing the main characteristics of the data using statistical and visualization techniques. This step helps identify patterns and trends that can guide further analysis.