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Data analysis involves cleaning and preparing the data from "summary" of Data Science for Business by Foster Provost,Tom Fawcett
Data analysis involves cleaning and preparing the data before any meaningful insights can be extracted. This initial step is crucial in ensuring the accuracy and reliability of the analysis. The process of cleaning and preparing the data involves identifying and correcting errors, handling missing values, and transforming the data into a format that is suitable for analysis. One common issue in data cleaning is dealing with missing values. Missing values can occur for a variety of reasons, such as human error, system failures, or data corruption. It is important to carefully assess the nature of the missing values and decide on the best approach for handling them. This may involve imputing missing values based on statistical methods or dropping observations with missing values altogether. Anot...
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