Limitations of traditional data analysis

 Traditional data analysis has advantages and disadvantages that can impact our comprehension of the world. Firstly, traditional methods often rely on a predefined number of variables or assumptions that might not accurately represent the complexity of real-world situations. This implies that key aspects might be disregarded, resulting in conclusions that are either incomplete or inaccurate. Secondly, traditional approaches may not be able to handle large, unstructured datasets, like those found in social media or sensor data, which can be difficult to analyse using traditional techniques, potentially missing out on important insights. Lastly, traditional data analysis usually takes a considerable amount of time and expertise to process and interpret the data accurately. The Importance of Statistics Concepts in Data Science and Machine Learning | by Yennhi95zz | Medium

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