def nutrient_12yr_intake_trend(years, macro_nutrients):
"""Gets Nutrient intake trend over 12 years.
First Analysis"""
for year in years:
demo_data = extract_demo_data(year)
if year == '1999' or year == '2001':
diet_data = extract_diet_data_xtot(year)
else:
diet_data = extract_diet_data_2tot(year)
relevant_data_arrays, relevant_data_lists = get_children_data(
demo_data, diet_data, year)
nutrient_diet = get_children_nutrient_intake(relevant_data_lists)
nutrient_totals, total_value = get_totals_from_data(nutrient_diet)
nutrient_trends = report_trends(nutrient_totals)
nutrient_totals, total_value = report_total_intake(
nutrient_totals, total_value)
if year == '2011':
get_trends(nutrient_trends, years, 'Years', 'Intake',
'Nutrient Intake Trend', macro_nutrients)
def class_wise_nutrient_intake_clusters_parallel_coordinates(years, classes):
"""Gets K-Means clusters, 4D parallel coordinates across classes
Fifth Analysis"""
for year in years:
demo_data = extract_demo_data(year)
if year == '1999' or year == '2001':
diet_data = extract_diet_data_xtot(year)
else:
diet_data = extract_diet_data_2tot(year)
relevant_data_arrays, relevant_data_lists = get_children_data(
demo_data, diet_data, year)
nutrients_lower_lists, nutrients_middle_lists, nutrients_upper_lists, nutrients_lower_arrays, nutrients_middle_arrays, nutrients_upper_arrays = get_financial_class_wise_nutrient_details(
relevant_data_arrays)
nutrient_intake = get_children_nutrient_intake(relevant_data_lists)
overall_nutrients_mean = compute_mean_nutrient_intake(nutrient_intake)
report_mean_overall(overall_nutrients_mean)
lower_nutrients_mean = compute_mean_nutrient_intake(
nutrients_lower_arrays)
report_mean_lower(lower_nutrients_mean)
middle_nutrients_mean = compute_mean_nutrient_intake(
nutrients_middle_arrays)
report_mean_middle(middle_nutrients_mean)
upper_nutrients_mean = compute_mean_nutrient_intake(
nutrients_upper_arrays)
report_mean_upper(upper_nutrients_mean)
report_class_counts(nutrient_intake, nutrients_lower_arrays,
nutrients_middle_arrays, nutrients_upper_arrays)
if year == '1999' or year == '2003' or year == '2007' or year == '2011':
# calculate_wssse(nutrient_intake)
# ipr values are devided into 6 groups
overall_cluster_ids, overall_intake_clusters = get_cluster_ids(
nutrient_intake, 6)
lower_cluster_ids, lower_intake_clusters = get_cluster_ids(
nutrients_lower_arrays, 6)
middle_cluster_ids, middle_intake_clusters = get_cluster_ids(
nutrients_middle_arrays, 6)
upper_cluster_ids, upper_intake_clusters = get_cluster_ids(
nutrients_upper_arrays, 6)
plot_clusters(overall_cluster_ids, overall_intake_clusters, 6)
plot_clusters(lower_cluster_ids, lower_intake_clusters, 6)
plot_clusters(middle_cluster_ids, middle_intake_clusters, 6)
plot_clusters(upper_cluster_ids, upper_intake_clusters, 6)
plot_as_4d(relevant_data_lists, year)
if year == '2011':
get_class_counts()
get_class_wise_nutrient_trends(years, classes)
def class_wise_12yr_food_composition(years, ideal_percentages,
macro_nutrients):
"""Gets Food compositions over 12 years across classes.
Second Analysis"""
for year in years:
demo_data = extract_demo_data(year)
if year == '1999' or year == '2001':
diet_data = extract_diet_data_xtot(year)
else:
diet_data = extract_diet_data_2tot(year)
relevant_data_arrays, relevant_data_lists = get_children_data(
demo_data, diet_data, year)
nutrient_intake = get_children_nutrient_intake(relevant_data_lists)
nutrient_totals, total_value = get_totals_from_data(nutrient_intake)
nutrient_totals, total_value = report_total_intake(
nutrient_totals, total_value)
nutrients_lower_lists, nutrients_middle_lists, nutrients_upper_lists, nutrients_lower_arrays, nutrients_middle_arrays, nutrients_upper_arrays = get_financial_class_wise_nutrient_details(
relevant_data_arrays)
lower_nutrient_totals, lower_total_value = get_totals_from_data(
nutrients_lower_arrays)
lower_nutrient_totals, lower_total_value = report_total_intake(
lower_nutrient_totals, lower_total_value)
middle_nutrient_totals, middle_total_value = get_totals_from_data(
nutrients_middle_arrays)
middle_nutrient_totals, middle_total_value = report_total_intake(
middle_nutrient_totals, middle_total_value)
upper_nutrient_totals, upper_total_value = get_totals_from_data(
nutrients_upper_arrays)
upper_nutrient_totals, upper_total_value = report_total_intake(
upper_nutrient_totals, upper_total_value)
if year == '2011':
get_mean_intake_percentages(nutrient_totals, total_value,
macro_nutrients)
get_mean_intake_percentages(lower_nutrient_totals,
lower_total_value, macro_nutrients)
get_mean_intake_percentages(middle_nutrient_totals,
middle_total_value, macro_nutrients)
get_mean_intake_percentages(upper_nutrient_totals,
upper_total_value, macro_nutrients)
show_pie_analysis(ideal_percentages, macro_nutrients,
'Recommended Food Composition')
def nutrient_intake_density(years):
"""Gets Nutrient intake density across classes
Fourth Analysis"""
for year in years:
demo_data = extract_demo_data(year)
if year == '1999' or year == '2001':
diet_data = extract_diet_data_xtot(year)
else:
diet_data = extract_diet_data_2tot(year)
relevant_data_arrays, relevant_data_lists = get_children_data(
demo_data, diet_data, year)
nutrients_lower_lists, nutrients_middle_lists, nutrients_upper_lists, nutrients_lower_arrays, nutrients_middle_arrays, nutrients_upper_arrays = get_financial_class_wise_nutrient_details(
relevant_data_arrays)
lower_carb_fat, middle_carb_fat, upper_carb_fat = get_carb_fat_intake(
nutrients_lower_lists, nutrients_middle_lists,
nutrients_upper_lists)
lower_carb, lower_fat = get_scatter_plot_data(lower_carb_fat)
middle_carb, middle_fat = get_scatter_plot_data(middle_carb_fat)
upper_carb, upper_fat = get_scatter_plot_data(upper_carb_fat)
show_scatter_plot(lower_carb, lower_fat, 'Carbohydrate Intake',
'Fat Intake',
'Fat vs Carbs among Lower Income Class')
show_scatter_plot(middle_carb, middle_fat, 'Carbohydrate Intake',
'Fat Intake',
'Fat vs Carbs among Middle Income Class')
show_scatter_plot(upper_carb, upper_fat, 'Carbohydrate Intake',
'Fat Intake',
'Fat vs Carbs among Upper Income Class')
lower_fiber_prot, middle_fiber_prot, upper_fiber_prot = get_fiber_protein_intake(
nutrients_lower_lists, nutrients_middle_lists,
nutrients_upper_lists)
lower_fiber, lower_prot = get_scatter_plot_data(lower_fiber_prot)
middle_fiber, middle_prot = get_scatter_plot_data(middle_fiber_prot)
upper_fiber, upper_prot = get_scatter_plot_data(upper_fiber_prot)
show_scatter_plot(lower_fiber, lower_prot, 'Fiber Intake',
'Protein Intake',
'Fiber vs Protein among Lower Income Class')
show_scatter_plot(middle_fiber, middle_prot, 'Fiber Intake',
'Protein Intake',
'Fiber vs Protein among Middle Income Class')
show_scatter_plot(upper_fiber, upper_prot, 'Fiber Intake',
'Protein Intake',
'Fiber vs Protein among Upper Income Class')
def nutrient_box_plot(years):
"""Gets intake comparison among classes
Sixth Analysis"""
for year in years:
demo_data = extract_demo_data(year)
if year == '1999' or year == '2001':
diet_data = extract_diet_data_xtot(year)
else:
diet_data = extract_diet_data_2tot(year)
relevant_data_arrays, relevant_data_lists = get_children_data(
demo_data, diet_data, year)
category_data, carb_normalized, fiber_normalized, fat_normalized, prot_normalized = normalize_nutrient_data(
relevant_data_lists)
generate_box_plot(category_data, carb_normalized, fiber_normalized,
fat_normalized, prot_normalized)
def average_12yr_person_intake_per_class(years, macro_nutrients, classes):
"""Gets average intake per person over 12 years across classes
Third Analysis"""
for year in years:
demo_data = extract_demo_data(year)
if year == '1999' or year == '2001':
diet_data = extract_diet_data_xtot(year)
else:
diet_data = extract_diet_data_2tot(year)
relevant_data_arrays, relevant_data_lists = get_children_data(
demo_data, diet_data, year)
nutrient_intake = get_children_nutrient_intake(relevant_data_lists)
nutrient_totals, total_value = get_totals_from_data(nutrient_intake)
nutrient_totals, total_value = report_total_intake(
nutrient_totals, total_value)
nutrients_lower_lists, nutrients_middle_lists, nutrients_upper_lists, nutrients_lower_arrays, nutrients_middle_arrays, nutrients_upper_arrays = get_financial_class_wise_nutrient_details(
relevant_data_arrays)
report_class_counts(nutrient_intake, nutrients_lower_arrays,
nutrients_middle_arrays, nutrients_upper_arrays)
lower_nutrient_totals, lower_total_value = get_totals_from_data(
nutrients_lower_arrays)
lower_nutrient_totals, lower_total_value = report_total_intake(
lower_nutrient_totals, lower_total_value)
middle_nutrient_totals, middle_total_value = get_totals_from_data(
nutrients_middle_arrays)
middle_nutrient_totals, middle_total_value = report_total_intake(
middle_nutrient_totals, middle_total_value)
upper_nutrient_totals, upper_total_value = get_totals_from_data(
nutrients_upper_arrays)
upper_nutrient_totals, upper_total_value = report_total_intake(
upper_nutrient_totals, upper_total_value)
if year == '2011':
overall_intake_averages = report_overall_average_intake_per_person(
nutrient_totals)
lower_intake_averages = report_lower_average_intake_per_person(
lower_nutrient_totals)
middle_intake_averages = report_middle_average_intake_per_person(
middle_nutrient_totals)
upper_intake_averages = report_upper_average_intake_per_person(
upper_nutrient_totals)
compute_average_intake_per_person(overall_intake_averages)
compute_average_intake_per_person(lower_intake_averages)
compute_average_intake_per_person(middle_intake_averages)
compute_average_intake_per_person(upper_intake_averages)
get_average_intake_per_person_nutrient_wise(
macro_nutrients, classes)
get_average_intake_per_person_class_wise(overall_intake_averages,
lower_intake_averages,
middle_intake_averages,
upper_intake_averages,
classes, macro_nutrients)