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Transforming Sales Data (1/3)

The quotations dataset contains timestamps on several activities together with the employee who executed them. However, quotations is not yet stored in a format which is easy to analyze. Perform the following steps to prepare the data for this piece of the process, by using dplyr's mutate(), tidyr's pivot_longer(), pivot_wider() and separate_*(), and forcats's fct_recode().

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Inspect structure of the quotations data.