You will now perform time series decomposition on multiple time series. You can achieve this by leveraging the Python dictionary to store the results of each time series decomposition.

In this exercise, you will initialize an empty dictionary with a set of curly braces, {}, use a for loop to iterate through the columns of the DataFrame and apply time series decomposition to each time series. After each time series decomposition, you place the results in the dictionary by using the command my_dict[key] = value, where my_dict is your dictionary, key is the name of the column/time series, and value is the decomposition object of that time series.

Compute correlations between time series

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