Nanyang Technological College Nanyang Enterprise College Feeding the Future: Knowledge Science Perspectives on Worldwide Weight loss program and Happiness 1. INTRODUCTION Background In a world an increasing number of fashioned by effectively being crises, evolving diets, and provocative measures of effectively-being, the intersection of nutrition, public effectively being, and happiness is gaining renewed urgency. In step with the World Health Group (WHO), as of 2024, over 1 billion of us globally, together with 650 million adults, 340 million teenagers, and 39 million youth, are classified as chubby. In fact, weight problems charges admire tripled since 1975, and currently, over 40% of adults are chubby (WHO, 2024). This construction poses a predominant chance to world effectively being programs and is strongly correlated with an elevated chance of power diseases, equivalent to cardiovascular prerequisites, kind 2 diabetes, and even definite cancers. The WHO 2024 describe requires pressing action across the public and deepest sectors, together with food producers, governments, and healthcare suppliers, to beef up the quality and nutritional steadiness of the realm food supply. This incorporates a focal point on reducing excessive caloric consumption from fats and sugars and promoting diets effectively off in fiber and plant-essentially essentially based mostly proteins. Such world guidelines invent datasets on macronutrient consumption and food composition seriously relevant for contemporary analysis. Concurrently, the United Worldwide locations Sustainable Model Choices Community (UNSDSN) published the World Happiness Document 2023, which ranks over 150 international locations in accordance to factors equivalent to income, social toughen, existence expectancy, freedom, and perceptions of corruption. Interestingly, nutrition and food safety, nevertheless not enlighten ranking factors, play important roles in many of these dimensions. Countries with healthier food programs and greater earn correct of entry to to nutritious food in most cases describe greater physical and psychological effectively-being, which is intricately linked to happiness. The World Happiness Document frames effectively-being as a central pillar of sustainable construction, aligning with UN Sustainable Model Wishes 3 (Fine Health and Effectively-Being) and 2 (Zero Starvation). As nations grapple with easy suggestions to fulfill these dreams, records-pushed insights into nutrition traits, caloric distribution, and food industry choices admire change into precious. 2. Dataset In this mission, we utilized two sources of knowledge: 1. On each day foundation caloric supply derived from carbohydrates, protein and chubby,United States, 1961 to 2022 (daily_intake) retrieved from https://ourworldindata.org/weight reduction program-compositions#introduction 2. Simulated food consumption, 2015 to 2020 (simulated_food_intake_2015_2020) Entity: international locations 365 days: 365 days Month: month (1 to 12) Daily_calorie_animal_protein: day to day calorie from animal protein Daily_calorie_vegetal_protein: day to day calorie from vegetable protein Daily_calorie_fat: day to day calorie from chubby Daily_calorie_carbohydrates: day to day calorie from carbohydrates 3. World Happiness Document (happiness) retrieved from https://www.kaggle.com/datasets/unsdsn/world-happiness 4. McDonalds Weight loss program Dataset (mcdonaldata) retrieved from https://www.kaggle.com/datasets/priyanshusethi/mcdonalds-nutrition-dataset 5. Burger King Menu Weight loss program Knowledge (burger_king_menu) retrieved from https://www.kaggle.com/datasets/mattop/burger-king-menu-nutrition-records 6. Starbucks Weight loss program Facts (starbucks) retrieved from https://www.kaggle.com/datasets/utkarshx27/starbucks-nutrition To diminish your workload (and web a question to for computational resources), you would be equipped with mySQL and MongoDB database cases. Please note that the databases could maintain unknown factors (e.g., special traits, surprising null values, inconsistent records kinds), that are inherent within the records sources. For Q1 to Q15, your queries must quiet be constructed in accordance to the current records structures (e.g., no additional tables/collections, no views, no transient tables). For Q16 to Q18 and Q19 to Q23, that you just would be in a position to regulate the present records structures and introduce additional records (tables and collections). 3. Project Deliverables The due date for the neighborhood mission is 15 November 2025, 23:59 (23:59 hrs NTULearn server time) There are quite loads of key deliverables (and one situation of not important deliverables), namely 1 x mission describe (non-technical) 2 x script files (SQL and noSQL; that you just’ll want to contain in-line feedback to point out the common sense/ assumptions) 1 x presentation [optional] database implementations (e.g., relational database and nonrelational database for extra records). Please provide a brief note to records the deployment blueprint. PROJECT REPORT The describe must quiet maintain the following: A duvet page that includes a title, names, and matric numbers of every crew member. Discussion on the records-pushed insights particular to Q16 to Q18 and Q19 to Q23. That it is doubtless you’ll maybe contain additional aids as an example your dialogue (e.g., charts and graphs generated in accordance to the records output of your queries). The carried out Job Allocation Sheet. PRESENTATION Your crew is expected to train a video-recorded presentation (which must quiet be made within the market by job of YouTube), whereby the crew is expected to: Discussion on the records-pushed insights particular to Q16 to Q18 and Q19 to Q23. If relevant, any implementation concerns. The total presentation MUST be within 20 minutes (video duration past 20 minutes shall be overlooked). All members must present. Each member is expected to make contributions equally to the presentation. Consultations You are expected to invent relevant and logical assumptions when attempting to answer to the questions. For blue-sky questions, that you just would be in a position to want to incorporate additional datasets. To these ends, you would be expected to consult with your class instructors. Please note that your crew is expected to invent periodic updates on every occasion conceivable (e.g., after tutorial periods, during class exercise time, and during devoted consultation time). 4. SUBMISSION A submission folder shall be made within the market on NTULearn. Please zip the files and invent a single file submission. One member will total the submission on behalf of the neighborhood. The following files must quiet be submitted to total this neighborhood mission: Project describe (in pdf structure) YouTube URL (in a text file, please invent definite the URL is viewable) Script files [optional] Database implementations Within the unlikely tournament that your submission file is greater than the permissible dimension on NTULearn, please contact your trainer to prepare for an different submission affiliation. The submission must quiet be made by 15 November 2025, 23:59. Perform note that video processing and YouTube uploading will also be computationally intensive and bandwidth-stressful. Please be definite large time for processing and uploading the presentation video. Write My Project Hire a Knowledgeable Essay & Project Author for winding up your Academic Assessments Native Singapore Writers Crew 100% Plagiarism-Free Essay Very most life like Satisfaction Price Free Revision On-Time Transport Appendix – 23 questions (30 marks) For Q1 to Q15 (a total of 15 questions), every member must total two questions (e.g., a 5-member crew will total a total of 10 questions). For every question, the member must total both the SQL and noSQL scripts. 1 label (max) for every SQL/noSQL implementation. The total neighborhood receives 1 label (max). Therefore, 4 x 1 + 1 = 5 marks (max) per member. For Q16 to Q18 (a total of three questions), all questions must quiet be carried out (for teams with fewer than 5 members, consult your trainer for adjustment). Each question will also be attempted (led) by at most two members, who invent equal contributions to both the SQL and noSQL scripts. 4 marks (max) for every member (SQL and noSQL are belief to be jointly). The total neighborhood receives 1 label (max). Therefore, 4 + 1 = 5 marks (max) per member For Q19 to Q23 (a total of 5 questions), all members can make contributions. All questions must quiet be carried out (for teams with fewer than 5 members, consult your trainer for adjustment). 6 marks (max) for every member (SQL and noSQL are belief to be jointly). The total neighborhood receives 4 marks (label). Therefore, 6 + 1 = 10 marks (max) per member. 1. [daily_intake] What are the international locations with the ultimate invent greater in carbohydrate consumption over time? 2. [daily_intake] What are the typical macronutrient consumption for the final 10 years by country? 3. [daily_intake] name the tip-10 international locations (by animinal protein replace) provocative from high-vegetal to high-animal potein diets. 4. [daily_intake] Preserve in thoughts ‘United States’, ‘India’, ‘Germany’, ‘Brazil’, ‘Japan’. For every country, compute the 365 days-over-365 days replace in day to day calorie consumption from chubby, and get the 365 days with the maximum invent greater. 5. [simulated_food_intake_2015_2020] List the typical monthly consumption by nutrient. 6. [simulated_food_intake_2015_2020] Preserve in thoughts ‘United States’, ‘India’, ‘Germany’, ‘Brazil’, ‘Japan’. Name the corresponding seasonal spikes (month) in consumption. 7. [happiness] Detect Outliers – Countries with High GDP nevertheless Low Happiness. 8. [happiness] Predictive Composite Metric (Weighted Index) 9.[mcdonaldata] Calculate chubby-to-protein ratio (effectivity indicator) Conceal: chubby-to-protein ratio = totalfat/protien 10. [mcdonaldata] List objects with high sodium + chubby + cholesterol The two figures above depict consequence grid of the identical output (not two just outputs). Conceal: totalfat > 30 OR sodium > 1000 OR cholestrol > 30′, then health_flag = ⚠ High Risk’ else health_flag = ✓ Practical 11. [burger_king_menu] Which Categories Are Most Weight Watchers-Friendly? 12. [burger_king_menu] List the tip 10 most caloric menu objects. 13. [starbucks] Bakery vs. Non-Bakery: Weight loss program distinction 14 [starbucks] Look at Each Item to Average Calories in Its Form. Exhibits how a long way above or below the typical every item is within its neighborhood. 15. [starbucks] List the category-stage (i.e., sandwich, bakery) Z-rating for sugar. 16. *Start-ended question [simulated_food_intake_2015_2020] and [happiness] Perform international locations with greater common protein/chubby consumption during cool climate months tend to enlighten greater happiness? TIP: You have to clarify the cool climate months. 17. *Start-ended question; [daily_intake] and [happiness] Perform long-time period chubby consumption traits (from 1961–2020) correlate with happiness? TIP: Factor in you’ll want to prepare the records to situation a bar chart. For every country, a bar represents the stage of happiness rating, and one other bar represents the stage of common chubby consumption. 18. *Start-ended question [daily_intake] and [happiness] Are international locations with decrease monthly nutrient variation happier? TIP: To calculate variation, take into myth STDDEV(). https://www.tutorialspoint.com/mysql/mysql_aggregate_functions_stddev.htm 19. *Blue-sky question Country Trends: Processed Food Intake vs. Rapid Food Menu Health Are there any relationships between processed food consumption and quick-food menu? What’s going to also be the impression of processed food and quick-food consumption on happiness? What about effectively being outcomes? 20. *Blue-sky question Does quick-food consumption invent greater effectively being chance? Would possibly per chance additionally the chance be mitigated? 21. *Blue-sky question Long-time period dietary transition for epidemiological analysis Are there any important nutritional shifts within the US? What’s going to also be the reason? Wealth? Healthcare? Availability? Preferences? Social traits (e.g., plant-essentially essentially based mostly, chubby-burning juices, protein fluff)? 22. *Blue-sky question What months must quiet governments invent greater public consciousness of unhealthy food spikes? As an instance, are there wholesome quick-food alternate choices that may per chance also be promoted by job of public campaigns? What wholesome quick-food alternate choices will also be launched? What makes these alternate choices correct? 23. *Blue-sky question (compulsory for teams with >4 members) What’s the impression of reduction of chubby or sugar-essentially essentially based mostly diets on happiness, effectively being, and financial outcomes? Ought to international locations explicitly abet an eye on sugar consumption (e.g., important diminished-sugar beverage, sugar tax)? Or, must quiet international locations exercise implicit insurance policies (e.g., consciousness promotions, provision of wholesome alternate choices)? Notes: When additional datasets are belief to be, your crew must provide formal references/sources to retrieve the distinctive datasets. Overview shall be performed with attention to the coherence of your crew’s fable. A coherent records fable will also be carried out the use of a centered dataset. A effectively off, diversified dataset can muddle the fable if the records isn’t meaningfully constructed-in. Purchase Custom-made Reply of This Evaluate & Develop Your Grades Fetch A Free Quote BC2402 Community Project – Job Allocation Ask (Person = 4 marks, neighborhood = 1 label) Member (strictly ultimate one member for both SQL and noSQL) 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 If a question isn’t attempted, leave the corresponding member entry easy. If extra than a single member is listed for a question, both members web a 50% penalty for the question, and the crew will get a 10% overall penalty. Contributors who did not strive any questions from Q1 to Q15 web zero marks in my thought. The crew will get a 10% overall penalty. Ask (Person = 4 marks, neighborhood = 1 label) Strictly 2 members maximum Member 1 Member 2 16 17 18 If a question isn’t attempted, leave the corresponding member entries easy. If extra than two members are listed for a question, the members web a 50% penalty for the question, and the crew will get a 10% overall penalty. Contributors who did not strive any questions from Q16 to Q18 web zero marks in my thought. The crew will get a 10% overall penalty. Ask Contributors (no limit) Conceal 19 20 21 22 23 If a question isn’t attempted, leave the corresponding entries easy. That it is doubtless you’ll maybe use the note to invent additional particulars about particular task allocations within the question. Contributors who did not strive any questions from Q19 to Q22 web zero marks in my thought. The crew will get a 10% overall penalty. BC2402 Community Project – Marks Allocation The total mission contributes 30% (marks) to every person’s overall evaluate. There are three key substances, namely A. SQL and noSQL alternate choices = 20 marks a. Q1 to Q15 (person = 4 marks, neighborhood = 1 label, total = 5 marks) b. Q16 to Q18 (person = 4 marks, neighborhood = 1 label, total = 5 marks) c. Q19 to Q22 (person = 6 marks, neighborhood = 4 marks, total = 10 marks) B. 1 x mission describe = 5 marks C. 1 x presentation = 5 marks (person = 3 marks, neighborhood = 2 marks) Perform note that look evaluate workout routines shall be performed. Results of the look evaluate workout routines shall be belief to be in person grading. Caught with moderately about a homework assignments and feeling stressed ? Lift real tutorial assistance & Fetch 100% Plagiarism free papers Fetch A Free Quote
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