Data analysis is the process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. It involves various techniques and methodologies to extract meaningful insights from both structured and unstructured data. Data analysis is crucial in various fields, including business, science, and social science, to make data-driven decisions and understand complex phenomena

Key characteristics :

• Data Collection : Gathering data from various sources, which could include databases, spreadsheets, surveys, or even social media
• Data Cleaning : Identifying and correcting errors, inconsistencies, and missing values in the data
• Data Transformation : Converting data into a suitable format for analysis, which might involve aggregating, calculating, or summarizing data
• Data Modeling : Applying statistical and mathematical techniques to identify patterns, relationships, and trends within the data
• Interpretation and Conclusion : Drawing meaningful conclusions based on the analysis and using them to support decision-making

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