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- Data analysis and interpretation are two related but distinct processes in research. Data analysis is the process of examining, manipulating, and summarizing data to uncover trends, patterns, and relationships12345. Data interpretation is the process of assigning meaning to the analyzed data and drawing conclusions, implications, and inferences from the results12345. Data analysis and interpretation help researchers to answer critical questions and explain the findings of their research.Learn more:✕This summary was generated using AI based on multiple online sources. To view the original source information, use the "Learn more" links.Data analysis is a critical examination of the assembled data, leading to generalization. In contrast, interpretation refers to the analysis of these generalizations and results, searching for the broader meaning of research findings.www.iedunote.com/data-analysis-interpretationData analysis: The next step is to analyze the data using various techniques, such as statistical analysis, visualization, and modeling. This analysis should be focused on uncovering trends, patterns, and relationships in the data. Data interpretation: Once the data has been analyzed, it needs to be interpreted to determine what the results mean.blog.golayer.io/business/data-interpretationData interpretation is the process of reviewing data and arriving at relevant conclusions using various analytical research methods. Data analysis assists researchers in categorizing, manipulating data, and summarizing data to answer critical questions.www.questionpro.com/blog/data-interpretation/Once the data has been analyzed, the next progressive step is to interpret the data. Data interpretation is the process of assigning meaning to the processed and analyzed data. It enables us to make informed and meaningful conclusions, implications, infer the significance between the relationships of variables and explain the patterns in the data.www.analytixlabs.co.in/blog/data-analysis-and-inter…Data interpretation refers to the process of using diverse analytical methods to review data and arrive at relevant conclusions. The interpretation of data helps researchers to categorize, manipulate, and summarize the information in order to answer critical questions.www.datapine.com/blog/data-interpretation-method…
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