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  2. Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. [1]

    en.wikipedia.org/wiki/Data_Analysis

    Data analysis is the science of examining a set of data to draw conclusions about the information to be able to make decisions or simply to expand the knowledge on various subjects. Data analysis consists of subjecting data to operations.

    www.questionpro.com/blog/what-is-data-analysis/
     
  3. People also ask
    What is data analysis?Data analysis is a comprehensive method of inspecting, cleansing, transforming, and modeling data to discover useful information, draw conclusions, and support decision-making. It is a multifaceted process involving various techniques and methodologies to interpret data from various sources in different formats, both structured and unstructured.
    What are data analysis methods?Data Analysis Methods are as follows: This method involves the use of mathematical models and statistical tools to analyze and interpret data. It includes measures of central tendency, correlation analysis, regression analysis, hypothesis testing, and more. This method involves the use of algorithms to identify patterns and relationships in data.
    What is statistical analysis?Statistical Analysis Statistical Analysis is a statistical approach or technique for analyzing data sets in order to summarize their important and main characteristics generally by using some visual aids. This approach can be used to gather knowledge about the following aspects of data: Main characteristics or features of the data.
    What are the two types of data analysis?It analyses a set of data or a sample of data. There are two categories of this type of Analysis – Descriptive Analysis and Inferential Analysis. analyses complete data or a sample of summarized numerical data. It shows mean and deviation for continuous data whereas percentage and frequency for categorical data. analyses sample from complete data.
     
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    WEBMay 31, 2023 · Learn how to define your objective, collect data, clean data, and analyze data in this comprehensive guide. Find out the tools, skills, and tips for data analysis in various contexts and industries.

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