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Descriptive, inferential, and causal data analysis are three fundamental approaches in data science and big data analytics, each serving distinct purposes in understanding, interpreting, and acting upon data. Descriptive data analysis focuses on summarizing and organizing data to identify patterns, trends, and insights within a dataset. It primarily deals with what has happened in the past and provides a snapshot of the data. Techniques such as mean, median, mode, standard deviation, frequency distribution, and data visualization tools like histograms, bar charts, and heatmaps are commonly used in descriptive analysis. For example, an e-commerce company analyzing monthly sales data to find the _______ ________ ______ ____ _________ ________ __________ __________ _____.
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