Practice: Shakiness by Location

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For this problem, we will use the same earthquakes dataset as the last problem.

We want you to write a function named shakiness_by_location that takes a parameter that represents the earthquakes dataset from the last problem in the list of dictionaries format. This function should return a dict that stores how “shaky” each location in the dataset is. To define what this means, the return value should be a dict whose keys are location names and whose values are the sum of all the earthquakes’ magnitudes that occurred at that location. If there are no earthquakes in the dataset, it should return an empty dict .

For example, suppose our dataset stored in a variable named data contained the following rows (only showing the name and magnitude columns since those are the only relevant ones).

[
    {'name': 'Seattle', 'magnitude': 4},
    {'name': 'Genovia', 'magnitude': 6},
    {'name': 'Seattle', 'magnitude': 3.5}
]

Then the call shakiness_by_location(data) would return

{'Seattle': 7.5, 'Genovia': 6}

Like the last problem, you should not assume anything about the number of rows in the dataset or their values, but you may assume it has all the columns as the dataset used in the last problem.