dataAnalysis
Data analysis is the systematic process of inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It covers the data lifecycle from collection and storage to interpretation and communication. Data preparation involves handling missing values, correcting errors, normalizing formats, and ensuring consistency. Exploratory data analysis uses summaries and visualizations to understand distributions, identify patterns, and spot anomalies. Analytical approaches span descriptive, inferential, predictive, and prescriptive methods.
Descriptive analytics summarize data using measures such as central tendency and dispersion. Inferential statistics enable conclusions
Tools range from general-purpose programming languages like Python and R to SQL databases and spreadsheet software,