Why am I getting this error? How can I fix it? please answer this properly In [50]: df_bank = pd.read_csv ("bank.csv")df_bank.head(10) # do not change thisout [50]:age0591562413554 545 42 management single658 management married60372889job marital education default balance housing loan contact day month duration campaign pdays previous poutcome depositadmin. married secondary no1042-10unknown234345admin. married secondaryyes no unknown 5 mayno no unknown5 may5may1467-10unknownmarried secondaryyes no unknown1389-10unknownunknownmarried secondaryyesno unknown5may579-10marriedno unknown5may673-10unknownyes yes unknown55620 unknownmaymayyes yes unknown 60 unknownno unknown 6 mayyesyesyesunknownunknownno unknown6000maymayno unknown6unknowntechnicianservicesadmin.tertiarytertiarytertiaryretired divorced secondarytechnician married secondaryservices single secondaryIn [58]: df = df_bank.head(10)married = df['marital']KeyErrorInput In [58], in ()1 df = df_bank.head(10)df['marital']--> 958no957 elif key_is_scalar:9629631270247618408305451no 5090Question 3 ¶1. What is the average age for married people in this dataset?no2 2 2 2average_age_married = married ['age'].mean()print(avg_age_married) # do not change this960 if is hashable(key):961nonono3 married----> 5 average_age_married = married ['age'].mean()7 print (avg_age_married)return self._get_value(key)noTraceback (most recent call last)File ~\anaconda3\lib\site-packages\pandas\core\series.py:958, in Series._getitem_(self, key)955 return self._values [key]120110306081297# otherwise index.get_value will raise InvalidIndexErrortry:# For labels that don't resolve as scalars like tuples and frozensets1111221-> 1069 loc = self.index.get_loc(label)1070 return self.index._get_values_for_loc(self, loc, label)113-1-1-1-1-1File ~\anaconda3\lib\site-packages\pandas\core\series.py: 1069, in Series._get_value(self, label, takeable)1066return self._values[label]1068 # Similar to Index.get_value, but we do not fall back to positionalFile ~\anaconda3\lib\site-packages\pandas\core\indexes \range.py: 389, in RangeIndex.get_loc(self, key, method, tolerance)387raise KeyError(key) from err388self._check_indexing_error(key)--> 389raise KeyError(key)390 return super ().get_loc (key, method-method, tolerance-tolerance)KeyError: 'age'yesyesyesyesyesyesyesyesyesyes

The error that you have done is: You have not specified the condition for marital as married.…

In [50]: df_bank = pd.read_csv ("bank.csv") df_bank.head(10) # do not change this out [50]: age 0 59 1 56 2 41 3 55 4 54 5 42 management single 6 56 management married tertiary 7 8 9 60 37 28 job marital education default balance housing loan contact day month duration campaign pdays previous poutcome deposit admin. married secondary no 2343 yes no unknown 5 unknown unknown technician unknown admin. married secondary married secondary married secondary tertiary no tertiary 45 no 1270 2476 184 services unknown unknown admin. married 0 unknown unknown unknown unknown unknown In [58]: df = df_bank.head(10) married = df['marital'] no retired divorced secondary no technician married secondary no services single secondary no Question 3 ¶ 1. What is the average age for married people in this dataset? --> 958 no average_age_married = married ['age'].mean() print(avg_age_married) # do not change this no 962 963 df['marital'] KeyError Input In [58], in () 1 df df_bank.head(10) 3 married ----> 5 average_age_married = married ['age'].mean() 7 print (avg_age_married) 960 if is hashable(key): 961 830 545 1 5090 return self._get_value(key) . no no unknown yes πιο unknown yes no unknown по no unknown yes yes unknown yes unknown yes yes no unknown yes no unknown yes no unknown 5 5 5 5 5 6 self._check_indexing_error(key) 20 6 6 20 030 6 Traceback (most recent call last) may may may may may may may may may may File ~\anaconda3\lib\site-packages\pandas\core\series.py:958, in Series._getitem_(self, key) 955 return self._values [key] 957 elif key_is_scalar: 1042 1467 1389 579 673 562 1201 1030 608 1297 # otherwise index.get_value will raise InvalidIndexError try: # For labels that don't resolve as scalars like tuples and frozensets --> 389 raise KeyError(key) 390 return super ().get_loc (key, method-method, tolerance-tolerance) KeyError: 'age' 1 1 1 1 2 2 1 1 1 3 -1 -1 -1 -1 -1 -1 -1 -1 -1 -1 File ~\anaconda3\lib\site-packages\pandas\core\series.py: 1069, in series. _get_value(self, label, takeable) 1066 return self._values[label] 1868 # Similar to Index.get_value, but we do not fall back to positional -> 1069 loc= self.index.get_loc(label) 1878 return self.index._get_values_for_loc(self, loc, label) File ~\anaconda3\lib\site-packages\pandas\core\indexes \range.py: 389, in RangeIndex.get_loc(self, key, method, tolerance) 387 raise KeyError (key) from err 388 0 0 0 0 0 0 0 0 0 0 yes yes yes yes yes yes yes yes yes yes