US Medical Insurance Project (please provide feedback)

Projects Portfolio Project: U.S. Medical Insurance Costs
1

Please offer any suggestions is this project portfolio ready?

import csv

Ages =
Sex =
BMI =
Num_children =
Smoker =
Region =
cost =
with open (‘insurance.csv’,‘r’) as insurance:
reader = csv.DictReader(insurance)
header = next(reader)
for row in reader:
Ages.append(int(row[‘age’]))
Sex.append(row[‘sex’])
BMI.append(row[‘bmi’])
Num_children.append(row[‘children’])
Smoker.append(row[‘smoker’])
Region.append(row[‘region’])
cost.append(float(row[‘charges’]))

print(cost)

In[35]:

cost_by_smoker_region = {}
for i in range(len(Smoker)):
smoker = Smoker[i]
region = Region[i]
cost_i = cost[i]
if (smoker, region) not in cost_by_smoker_region:
cost_by_smoker_region[(smoker, region)] =
cost_by_smoker_region[(smoker, region)].append(cost_i)

average_smoker = 0
smoker_count = 0
average_non_smoker = 0
non_smoker_count = 0

for (smoker, region), costs in cost_by_smoker_region.items():
avg_cost = sum(costs) / len(costs)

if smoker == 'yes':
    average_smoker += avg_cost
    smoker_count += 1
    print(f'The average cost for a smoker in {region} is {avg_cost}')     
if smoker == 'no':
    average_non_smoker += avg_cost
    non_smoker_count += 1
    print(f'The average cost for a non-smoker in {region} is {avg_cost}')

smoker_cost = average_smoker/smoker_count
print(f’The total average cost for a smoker is {smoker_cost}‘)
non_smoker_cost = average_non_smoker/non_smoker_count
print(f’The total average cost for a non-smoker is {non_smoker_cost}’)

In[28]:

#average age
def average_age(Ages):
return sum(Ages)/len(Ages)
result = average_age(Ages)
print(result)

In[33]:

#sex Count
Male = Sex.count(“male”)
female = Sex.count(“female”)

print(Male,female)

In[44]:

def count_age_sex(Ages,Sex):

age_group_count ={}
for i in range(len(Ages)):
    age = Ages[i]
    sex = Sex[i]
    if age not in age_group_count:
        age_group_count[age] = {'Male': 0, 'Female': 0}

    # Increment the count for the current sex
    if sex == 'Male':
        age_group_count[age]['Male'] += 1
    else:
        age_group_count[age]['Female'] += 1
return age_group_count
2

Hard to tell here.
It would be great if you could push the file/notebook to a GH repository.
Remember to add an intro at the top of the notebook so anyone looking at it will know what data questions you have and hope to answer. And maybe add a comment or two before each code cell so people can see your thought process as you sift thru the data set.
If this project is on the DS path, I would recommend going back and re-reading about the DS process as well.