Ensuring data integrity is one of the essential components of data analysis. Data generation is a continual process this makes data analysis a continuous, iterative process where the collection and performing data analysis simultaneously. These analytical procedures enable us to induce the underlying inference from data by eliminating the unnecessary chaos created by its rest.
The systematic application of statistical and logical techniques to describe the data scope, modularize the data structure, condense the data representation, illustrate via images, tables, and graphs, and evaluate statistical inclinations, probability data, and derive meaningful conclusions known as Data Analysis. What is Data Analysis? Definition & Example Techniques based on Visualization and Graphs Techniques based on Artificial Intelligence and Machine Learning Techniques based on Mathematics and Statistics Data Requirement Specification - define your scope: What is Data Analysis? Definition & Example.
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