datanyysis
Datanyalysis refers to the process of examining, cleaning, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It is a critical component of data science and analytics, bridging the gap between raw data and actionable insights. The term is often used interchangeably with data analysis, though it may emphasize a more structured or systematic approach to handling large datasets.
The primary steps in datanyalysis typically include data collection, where relevant data is gathered from various
Exploratory datanyalysis is a common first step, where techniques like statistical summaries, visualizations, and hypothesis testing
Tools and technologies used in datanyalysis vary widely, ranging from programming languages like Python and R
Datanyalysis is applied across numerous industries, including healthcare, finance, marketing, and operations research. In healthcare, it