unfinished/ errors

insurance project.py

import csv

with open('insurance.csv') as file:
    file_dict = csv.DictReader(file)


    def mean_charges(dictionary):
        age_charges = {'Infant': 0, 'Child': 0, 'Adolescent': 0, 'Early Adult': 0, 'Adult': 0, 'Middle Age': 0,
                       'Early Elder': 0, 'Late Elder': 0}
        sex_charges = {'Male': 0, 'Female': 0}
        bmi_charges = {'Severely Underweight': 0, 'Underweight': 0, 'Normal Weight': 0, 'Overweight': 0,
                       'Obesity Class I': 0,
                       'Obesity Class II': 0, 'Obesity Class III': 0}
        children_charges = {}
        smoker_charges = {}
        region_charges = {}
        charges_mean = {}
        i_total = 0
        i_count = 0
        c_total = 0
        c_count = 0
        ado_total = 0
        ado_count = 0
        ea_total = 0
        ea_count = 0
        a_total = 0
        a_count = 0
        ma_total = 0
        ma_count = 0
        ee_total = 0
        ee_count = 0
        le_total = 0
        le_count = 0
        male_count = 0
        male_total = 0
        female_count = 0
        female_total = 0
        su_total = 0
        su_count = 0
        u_total = 0
        u_count = 0
        nw_total = 0
        nw_count = 0
        o_total = 0
        o_count = 0
        oc1_total = 0
        oc1_count = 0
        oc2_total = 0
        oc2_count = 0
        oc3_total = 0
        oc3_count = 0
        for row in dictionary:
            current_age = float(row['age'])
            current_charges = float(row['charges'])
            if current_age < 2:
                i_total += current_charges
                i_count += 1
            elif current_age <= 9:
                c_total += current_charges
                c_count += 1
            elif current_age <= 19:
                ado_total += current_charges
                ado_count += 1
            elif current_age <= 29:
                ea_total += current_charges
                ea_count += 1
            elif current_age <= 39:
                a_total += current_charges
                a_count += 1
            elif current_age <= 59:
                ma_total += current_charges
                ma_count += 1
            elif current_age <= 80:
                ee_total += current_charges
                ee_count += 1
            elif current_age > 80:
                le_total += current_charges
                le_count += 1
        if i_count != 0:
            age_charges['Infant'] = i_total / i_count
        if c_count != 0:
            age_charges['Child'] = c_total / c_count
        if ado_count != 0:
            age_charges['Adolescent'] = ado_total / ado_count
        if ea_count != 0:
            age_charges['Early Adult'] = ea_total / ea_count
        if a_count != 0:
            age_charges['Adult'] = a_total / a_count
        if ma_count != 0:
            age_charges['Middle Age'] = ma_total / ma_count
        if ee_count != 0:
            age_charges['Early Elder'] = ee_total / ee_count
        if le_count != 0:
            age_charges['Late Elder'] = le_total / le_count

        for row in dictionary:
            current_sex = row['sex']
            current_charges = float(row['charges'])
            if current_sex == 'male':
                male_total += current_charges
                male_count += 1
            elif current_sex == 'female':
                female_total += current_charges
                female_count += 1
        sex_charges['Male'] = male_total / male_count
        sex_charges['Female'] = female_total / female_count

        for row in dictionary:
            current_bmi = float(row['bmi'])
            current_charges = float(row['charges'])
            if current_bmi < 16.5:
                su_total += current_charges
                su_count += 1
            elif current_bmi < 18.5:
                u_total += current_charges
                u_count += 1
            elif current_bmi <= 24.9:
                nw_total += current_charges
                nw_count += 1
            elif current_bmi <= 29.9:
                o_total += current_charges
                o_count += 1
            elif current_bmi <= 34.9:
                oc1_total += current_charges
                oc1_count += 1
            elif current_bmi <= 39.9:
                oc2_total += current_charges
                oc2_count += 1
            elif current_bmi > 39.9:
                oc3_total += current_charges
                oc3_count += 1

        bmi_charges['Severely Underweight'] = su_total / su_count
        bmi_charges['Underweight'] = u_total / u_count
        bmi_charges['Normal Weight'] = nw_total / nw_count
        bmi_charges['Overweight'] = o_total / o_count
        bmi_charges['Obesity Class I'] = oc1_total / oc1_count
        bmi_charges['Obesity Class II'] = oc2_total / oc2_count
        bmi_charges['Obesity Class III'] = oc3_total / oc3_count

        return age_charges, sex_charges, bmi_charges


    print(mean_charges(file_dict))


    def get_counts(dictionary):
        counts = {}
        regions = {}
        sexes = {}
        children = {}
        children_sorted = {}
        smokers = {}
        bmi = {'Severely Underweight': 0, 'Underweight': 0, 'Normal Weight': 0, 'Overweight': 0, 'Obesity Class I': 0,
               'Obesity Class II': 0, 'Obesity Class III': 0}
        ages = {'Infant': 0, 'Child': 0, 'Adolescent': 0, 'Early Adult': 0, 'Adult': 0, 'Middle Age': 0,
                'Early Elder': 0, 'Late Elder': 0}

        for row in dictionary:
            current_region = row['region']
            current_sex = row['sex']
            current_children = row['children']
            current_smoker = row['smoker']
            current_bmi = float(row['bmi'])
            current_age = float(row['age'])
            if current_region not in regions:
                regions[current_region] = 1
            else:
                regions[current_region] += 1

            if current_sex not in sexes:
                sexes[current_sex] = 1
            else:
                sexes[current_sex] += 1

            if current_children not in children:
                children[current_children] = 1
            else:
                children[current_children] += 1

            if current_smoker not in smokers:
                smokers[current_smoker] = 1
            else:
                smokers[current_smoker] += 1

            if current_bmi < 16.5:
                bmi['Severely Underweight'] += 1
            elif current_bmi < 18.5:
                bmi['Underweight'] += 1
            elif current_bmi <= 24.9:
                bmi['Normal Weight'] += 1
            elif current_bmi <= 29.9:
                bmi['Overweight'] += 1
            elif current_bmi <= 34.9:
                bmi['Obesity Class I'] += 1
            elif current_bmi <= 39.9:
                bmi['Obesity Class II'] += 1
            elif current_bmi > 39.9:
                bmi['Obesity Class III'] += 1

            if current_age < 2:
                ages['Infant'] += 1
            elif current_age <= 9:
                ages['Child'] += 1
            elif current_age <= 19:
                ages['Adolescent'] += 1
            elif current_age <= 29:
                ages['Early Adult'] += 1
            elif current_age <= 39:
                ages['Adult'] += 1
            elif current_age <= 59:
                ages['Middle Age'] += 1
            elif current_age <= 80:
                ages['Early Elder'] += 1
            elif current_age > 80:
                ages['Late Elder'] += 1

        for i in sorted(children):
            children_sorted[i] = children[i]

        counts['Region'] = regions
        counts['Sex'] = sexes
        counts['Number of Children'] = children_sorted
        counts['Smoker Status'] = smokers
        counts['BMI Classifications'] = bmi
        counts['Age Demographics'] = ages
        return counts


    counts = get_counts(file_dict)

    print(counts)