Latte Common sense: Uncovering Espresso Trends with SQL 1. INTRODUCTION A. The Preamble Espresso isn’t proper a beverage; it’s an industry pulsing with regional traits, exponential sigh, and shifting industry devices. To residing the stage on your SQL assignment, rob into yarn the following landscape across Southeast Asia and North The US: Southeast Asia: Posthaste Expansion & Native Champions Café Amazon bought an astonishing 400 million cups in 2024, about 1.1 million per day, and now operates virtually 4,922 outlets globally, with 4,485 in Thailand on my own. Provide: https://www.nationthailand.com/industry/company/40050529 Malaysian-born Zuspresso (ZUS Espresso) is determined to reveal in self assurance 200 fresh stores this one year, surpassing Starbucks in Malaysia. Provide: https://www.bloomberg.com/news/articles/2025-04-23/zus-coffee-to-add-200-southeast-asia-stores-in-starbucks-duel Indonesian chains are scaling rapid: Kopi Kenangan now boasts over 900 outlets across the blueprint, whereas Fore Espresso has launched 210+ stores in Indonesia, with growth into Singapore. Provide: https://en.wikipedia.org/wiki/Kopi_Kenangan These sigh trajectories underscore the importance of monitoring key metrics, including outlet counts, day-to-day cup sales, geographic growth, and native versus world set up comparisons. North The US: Maturing Market & Strategic Pivoting The U.S. café industry is projected to generate round $74 billion in 2025, marked by a outdated skool but fragmented sector where chains and independents alike compete fiercely. Provide: https://www.mmcginvest.com/post/u.s.a.coffee-shop-industry-market-diagnosis-navigating-maturity-margin-tension-and-the-mandate-fo Gargantuan names continue to evolve: Starbucks is renovating 1,000 stores to stress them as neighborhood “third locations” and mandating extra in-space of commercial days for company group to reinvigorate its café roots. Provide: https://www.the-solar.com/money/14579316/starbucks-grab-and-roam-future/ Within the intervening time, Royal Espresso is raising retail costs attributable to rising bean costs, tariffs, and elevated logistics—a switch at possibility of ripple across the field. Provide: https://www.businessinsider.com/raised-coffee-costs-depend on-utterly different-cafes-outlets-will-too-2025-4 These traits underscore assorted data questions, which we hit upon in this assignment. Write My Assignment Hire a Professional Essay & Assignment Creator for ending your Tutorial Assessments Native Singapore Writers Team 100% Plagiarism-Free Essay Best Pride Rate Free Revision On-Time Provide 2. DATA DESCRIPTIONS You is at possibility of be equipped with a dataset extracted from assorted delivery sources. Consult with the corresponding sources for column descriptions and background info. The dataset contains a entire lot of tables. Namely, 1. baristacoffeesalestbl Sourced from https://www.kaggle.com/datasets/yashparab/barista-coffee-sales-data-for-eda-csv 2. caffeine_intake_tracker Sourced from https://www.kaggle.com/datasets/prekshad2166/caffeine-intake-tracker-csv 3. coffeesales Sourced from https://www.kaggle.com/datasets/visabelsarahsargunar/coffee-sales-dataset 3 added columns: coffeeID shopID customer_id Ogle Q8 for miniature print. 4. consumerpreference Sourced from https://datadryad.org/dataset/doi:10.25338/B8993H 5. list_coffee_shops_in_kota_bogor Sourced from https://www.kaggle.com/datasets/mrbuitenzorg/checklist-coffee-outlets-in-kota-bogor 6. top-rated-coffee Sourced from https://www.kaggle.com/datasets/asimmahmudov/top-rated-coffee To mimic standard security policies in work settings, it’s seemingly you’ll presumably perhaps presumably presumably need to exhaust the SQL database implementations equipped with this picture back to prevent your assignment. Likewise, you SHOULD NOT adjust the database (i.e., data kinds, table structures) to prevent this assignment. 3. PROJECT DELIVERABLES The due date for the assignment is 3 October 2025 (23:59 hrs NTULearn server time) You is at possibility of be most productive expected to post one file, as follows: 1 x SQL script file You is at possibility of be tasked to form some SQL scripts to review the information, as follows: You is at possibility of be to make SQL scripts (e.g., SELECT statements) that generate solutions for the following queries. IMPORTANT: You is at possibility of be encouraged to provide in-line comments to show your good judgment. Severely, while you reach upon data points (e.g., data kinds) that necessitate cleansing and/or conversion, it’s seemingly you’ll presumably perhaps presumably presumably need to show the reasons and your corresponding solutions. If your review output differs from the urged output, it’s seemingly you’ll presumably perhaps presumably presumably need to account on your output while you mediate your output is precise or extra fitting to the question. Otherwise, your respond can be deemed invalid. 1. [1 mark] Table thought to be: How many product categories are there? For every product category, show the series of data. 2. [2 marks] Table thought to be: For every customer_gender and loyalty_member form, show the series of data. At some point of the connected consequence, within each customer_gender and loyalty_member form, for every is_repeat_customer form, show the series of data. Purchase Custom Acknowledge of This Evaluate & Elevate Your Grades Secure A Free Quote 3. [1 mark] Table thought to be: For every product_category and customer_discovery_source, show the sum of total_amount. A / B versions required with inline comments to account for differences. 4. [1 mark] Table thought to be: For every time_of_day category and gender, show the common focus_level and common sleep_quality. 5. [1 mark] Table thought to be: Checklist the amount of spending (money) recorded sooner than 12 and after 12. IMPORTANT: Talk about any data points noticed with inline comments. 6. [1 mark] Tables thought to be: Cling in mind 7 categories of Ph values pH >= 0.0 && pH < 1.0 pH >= 1.0 && pH < 2.0 pH >= 2.0 && pH < 3.0 pH >= 3.0 && pH < 4.0 pH >= 4.0 && pH < 5.0 pH >= 5.0 && pH < 6.0 pH >= 6.0 && pH < 7.0 For every category of Ph values, show the common Liking, FlavorIntensity, Acidity, and Mouthfeel. 7. [3 mark] Tables thought to be: + + + IMPORTANT: The table title “top-rated-coffee” contains hyphens. Stuck with a entire lot of homework assignments and feeling wired ? Clutch reliable academic assistance & Secure 100% Plagiarism free papers Secure A Free Quote Background: The barista neighborhood (baristacoffeesalestbl) and low outlets in kota bogor (list_coffee_shops_in_kota_bogor) maintain a overall loyalty program. This query objectives to demonstrate the synergy of this program (e.g., identifying the winning combinations of outlets) The 4 tables may perhaps presumably also be joint utilizing the following structure and good judgment: Cling in mind the above table structures (i.e., columns): coffeesales.coffeeID = `top-rated-coffee`.ID coffeesales.shopID = list_coffee_shops_in_kota_bogor.no coffeesales.customer_id = baristacoffeesalestbl.customer_id* * The matching between the 2 customer_id isn't easy coffeesales.customer_id = 1 whereas baristacoffeesalestbl.customer_id = CUST_1 After joining the 4 tables, for every trans_month (coffeesaeles.date), checklist the head 3 combinations of store_id (baristacoffeesalestbl) and shopID (coffeesales) per the amount of cash (coffeesales). The expected output is as follows: [The above is an illustration of the expected result structures (i.e., columns). The specific values can be inaccurate (e.g., data type conversions).] 4. SUBMISSION A submission folder can be made within the market on NTULearn. You may perhaps presumably perhaps also map as many submissions as basic, but most productive the most up-to-date submission can be evaluated. The submission also can merely unruffled be made by 3 October 2025, 23:59. Write My Assignment Hire a Professional Essay & Assignment Creator for ending your Tutorial Assessments Native Singapore Writers Team 100% Plagiarism-Free Essay Best Pride Rate Free Revision On-Time Provide
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