Data Analysis Techniques
Data analysis is the process of examining , cleaning, transforming, and modeling data to extract useful information, draw conclusions, and support decision-making. It involves various techniques and methods to analyze data, such as descriptive statistics, inferential statistics, data visualization, and machine learning. The process of data analysis typically involves the following steps: Defining the problem : Clearly define the problem or question that needs to be addressed through data analysis. This step involves understanding the context, objectives, and desired outcomes of the analysis. Data collection : Gather relevant data from various sources, ensuring that the data is accurate, complete, and reliable. This step may involve data extraction, data cleaning, and data integration. Data exploration : Explore the data to understand its characteristics, identify patterns, and detect anomalies. This step may involve data visualization, summary statis...