Qualitative Data Analysis

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• Statistical Methods: Statistical methods refer to a collection of mathematical techniques and models used to analyze and interpret data. These methods are used to identify patterns, relationships, and trends in data, and to make predictions and decisions based ... Read More >>
• Data Imputation: Data imputation is the process of filling in missing or incomplete data with estimated values. This technique is commonly used in data analysis and machine learning when dealing with datasets that have missing values. The goal of data imput ... Read More >>
• Missing Data: Missing data refers to the absence of values in a dataset. This can occur due to various reasons such as data entry errors, equipment malfunction, or survey non-response. Missing data can have a significant impact on the analysis and interp ... Read More >>