iqr_list = []
q1 = age_25percent
q3 = age_75percent
iqr = q3-q1
lower_bound = q1 -(1.5 * iqr)
upper_bound = q3 +(1.5 * iqr)
a = np.array(data_set["Age"])
p98 = np.nanpercentile(a, 98)
p2 = np.nanpercentile(a, 2)
for i, row in data_set.iterrows():
    if data_set.at[i, "Age"] > upper_bound:
        data_set.at[i,'Age'] = p98
    elif data_set.at[i, "Age"] < p2:
        data_set.at[i,'Age'] = p2