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def count_data(d: dict) -> int: ''' Given d where the keys are [...fill this in...] and...

def count_data(d: dict) -> int:

'''

Given d where the keys are [...fill this in...] and values are

the number of occurrences of each key, return the total

number of occurrences being analyzed (including duplicates).

>>> count_data({'Jan': 4, 'Feb': 0, 'Mar': 1})

5

>>> count_data({'Jan': 0, 'Feb': 0, 'Mar': 25})

25

'''

pass

def most_common_key(d: dict) -> list:

'''

Given d representing the number of occurrences of each

key within the data set analyzed, give a list of the keys

that occur the most frequently.

Note: there could be multiple keys that occur

most frequently, which is why we're returning a list.

If there is only one most frequent key, the returned value

would just be a list of one element that is that key.

'''

pass

pls use python dictionary

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Answer #1

Code for two functions:

def count_data(d: dict) -> int:

    '''

    Given d where the keys are [...fill this in...] and values are

    the number of occurrences of each key, return the total

    number of occurrences being analyzed (including duplicates).

    >>> count_data({'Jan': 4, 'Feb': 0, 'Mar': 1})

    5

    >>> count_data({'Jan': 0, 'Feb': 0, 'Mar': 25})

    25

    '''

    sum = 0

    for x in d:

        sum = sum + d.get(x)

    return sum

def most_common_key(d: dict) -> list:

    '''

    Given d representing the number of occurrences of each

    key within the data set analyzed, give a list of the keys

    that occur the most frequently.

    Note: there could be multiple keys that occur

    most frequently, which is why we're returning a list.

    If there is only one most frequent key, the returned value

    would just be a list of one element that is that key.

    '''

    li = []

     # All elements having value more than thresholdValue will

        # added to the list

    thresholdValue = 15

    for x in d:

        if d.get(x) >= thresholdValue :

            li.append(x)

    return li

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