Coffee growers raise two species of coffee bean: Arabica and robusta. The former is more expensive, selling for 2.93 U.S. dollars per kilogram in 2018 and projected to increase in price to 6.9 U.S. dollars in 2027. Robusta, named because it can grow at a wider range of altitudes and temperatures, sold for 1.87 U.S. dollars in 2018, projected to sell at 4.6 U.S. dollars per kilogram in 2027. Coffee production Coffee originally comes from Ethiopia, where a significant portion of coffee production continues to take place. The more popular bean, Arabica, takes its name from the Arabian Empire, when coffee consumption spread throughout the Middle East. After overcoming its ban by the Catholic Church, who saw coffee as an intoxicant from the Muslim world, coffee sales per capita are highest in European countries. Major players Starbucks has shaped the modern coffee culture, capitalizing on the Seattle coffee shop scene. This opened gourmet coffee to a wider market, shifting the global demand from cheaper robusta to better-tasting Arabica varieties. This shift has influenced the world coffee market, prompting companies such as McDonalds to open McCafé stores to cater to the evolving tastes of global consumers.

This is my one of datasets, that i have been working on it everyday. This one continues cleaning, pivot tables, and some charts for visualaization

A coffee order sales dataset on Kaggle typically contains transactional data from a coffee shop, including information about the products sold, sales patterns, and customer preferences. Here’s a breakdown of the typical columns and their descriptions you might find in such a dataset:

Example Columns in a Coffee Sales Dataset: Order ID: Unique identifier for each transaction or order. Description: Each time a customer makes a purchase, it gets recorded with a unique ID. Date and Time: Timestamp of when the order was placed. Description: Captures the exact date and time of the transaction. This can be useful for analyzing peak sales times, seasonal trends, or customer traffic during specific hours. Customer ID: Identifier for each customer. Description: Allows tracking of individual customers and their buying habits over time. Can be used for loyalty analysis or customer segmentation. Product Name: The name of the coffee or item sold. Description: Lists what products are being ordered, such as "Latte," "Cappuccino," "Espresso," or "Americano." Category: Category of the product (e.g., Coffee, Snacks, Pastries). Description: Differentiates between coffee types and other items like food or merchandise. Quantity: Number of units sold in each transaction. Description: Helps calculate total sales and identify popular items that are often purchased in bulk. Price: The price of each item ordered. Description: The cost of the item sold, useful for analyzing revenue and product pricing effectiveness. Total Sale: The total amount

The "Coffee Shop Data" dataset is a comprehensive collection designed for a wide array of data analysis, providing a deep dive into the operations of a coffee shop. This database was created as my first data analyst project, aimed at extracting meaningful insights from everyday coffee shop operations. The dataset consists of several tables, each focusing on different aspects of the business:

Orders: Records of customer orders, including order IDs, timestamps, item IDs, quantities, customer names, and whether the order was for dine-in or takeout. Items: Details of menu items, including item IDs, SKUs, names, categories, sizes, and prices. Recipes: Information on how each menu item is made, listing required ingredients and quantities. Ingredients: A list of ingredients used in the coffee shop, including their IDs, names, weights, measurements, and prices. Inventory: Current stock levels of each ingredient. Staff: Information on coffee shop staff, including their IDs, names, positions, and salary rates. Shift: Details of work shifts, including shift IDs, days, start times, and end times. Rota: Staff work schedules, linking staff members to specific shifts.

What You Can Achieve with This Database:

Leveraging this dataset, you can perform a variety of analyses to understand and improve coffee shop operations. Here's what I accomplished in my first data analyst project using this data:

• Total Orders: Counted all customer orders to gauge business activity.
• Total Sales: Calculated the total revenue generated.
• Total Items: Summarized the variety and number of items sold.
• Average Order Value: Determined the average revenue per order.
• Sales by Category: Analyzed revenue generation by item category.
• Top Selling Items: Identified the most popular items.
• Orders by Hour: Examined the distribution of orders throughout the day.
• Sales by Hour: Analyzed hourly revenue trends.
• Orders In or Out: Differentiated between dine-in and takeout orders.
• Total Quantity by Ingredient: Calculate the total usage of each ingredient.
• Total Cost of Ingredients: Estimated the overall cost of ingredients used.
• Calculate Cost of Coffee: Determined the cost to produce each coffee item.
• Percentage Stock Remaining by Ingredients: Assessed stock levels as a percentage of total capacity.
• List of Ingredients to Re-order: Identified ingredients needing replenishment based on inventory levels.
• Total Staff Cost: Calculated the total expenditure on staff salaries.
• Total Hours Worked: Summed up the hours staff worked.
• Hours Worked by Staff Member: Broke down hours worked by individual employees.
• Cost per Staff Member: Analyzed salary expenses per employee.

This dataset not only showcases the complexities of managing a coffee shop but also serves as an invaluable resource for anyone interested in data analysis, business optimization, or understanding the finer details of the food service industry.

Please note that the data contained within this dataset is not real and was generated with the assistance of ChatGPT to simulate a realistic coffee shop environment.

Report Overview:

IMARC Group’s report, titled “Protein-Infused Coffee Manufacturing Plant Project Report 2025: Industry Trends, Plant Setup, Machinery, Raw Materials, Investment Opportunities, Cost and Revenue,” provides a complete roadmap for setting up a protein-infused coffee manufacturing plant. It covers a comprehensive market overview to micro-level information such as unit operations involved, raw material requirements, utility requirements, infrastructure requirements, machinery and technology requirements, manpower requirements, packaging requirements, transportation requirements, etc. The protein-infused coffee project report provides detailed insights into project economics, including capital investments, project funding, operating expenses, income and expenditure projections, fixed costs vs. variable costs, direct and indirect costs, expected ROI and net present value (NPV), profit and loss account, financial analysis, etc.

Protein-infused coffee is a beverage that combines the benefits of coffee with the added nutritional value of protein. It can rely on various protein sources, such as whey protein, collagen peptides, or plant-based alternatives like peas or soy. Its taste can vary depending on the source and any added flavors or sweeteners. It is slightly thicker compared to regular coffee due to the presence of protein. It helps individuals meet their daily protein requirements, which aids muscle repair, weight management, and overall health. It provides caffeine, which can improve focus and alertness, making it an ideal choice for those looking to kickstart their day. Its protein content can contribute to a feeling of fullness, potentially reducing the urge to snack between meals. It offers a quick, convenient, and satisfying breakfast option, especially for busy individuals. It is also consumed as a pre-workout beverage that provides energy and protein for their exercise routine.

The increasing health consciousness among the masses represents one of the primary factors driving the demand for protein-infused coffee. Additionally, rising preferences for products that provide convenience and offer nutritional benefits are strengthening the growth of the market. Along with this, the increasing participation of people in sports and fitness activities is catalyzing the demand for protein-infused coffee. Athletes and fitness-conscious individuals are increasingly consuming protein-infused coffee as a pre- or post-workout option. The protein content aids in muscle repair and recovery, making it a valuable addition to their fitness routines. Apart from this, the rising adoption of veganism and vegetarianism is driving the demand for plant-based products. Furthermore, continuous product innovation and variety are attracting a wider consumer base. Manufacturers are constantly experimenting with new flavors, formulations, and packaging to keep consumers engaged and intrigued. They are also investing in marketing strategies through celebrity endorsements and social media advertisements. Besides this, the expanding working population and hectic schedules of individuals are offering a favorable market outlook. Protein-infused coffee caters to on-the-go lifestyles, providing a portable and hassle-free solution for individuals with busy schedules. Moreover, the expansion of organized retail channels, such as hypermarkets, supermarkets, convenience stores, and general stores, is making protein-infused coffee more accessible.

The following aspects have been covered in the protein-infused coffee manufacturing plant report:

• Market Analysis:
  • Market Trends
  • Market Breakup by Segment
  • Market Breakup by Region
  • Price Analysis
  • Impact of COVID-19
  • Market Forecast
    

The report provides insights into the landscape of the protein-infused coffee industry at the global level. The report also provides a segment-wise and region-wise breakup of the global protein-infused coffee industry. Additionally, it also provides the price analysis of feedstocks used in the manufacturing of protein-infused coffee, along with the industry profit margins.

• Detailed Process Flow:
  • Product Overview
  • Unit Operations Involved
  • Mass Balance and Raw Material Requirements
  • Quality Assurance Criteria
  • Technical Tests
    

The report also provides detailed information related to the protein-infused coffee manufacturing process flow and various unit operations involved in a manufacturing plant. Furthermore, information related to mass balance and raw material requirements has also been provided in the report with a list of necessary quality assurance criteria and technical tests.

• Project Details, Requirements and Costs Involved:
  • Land, Location and Site Development
  • Plant Layout
  • Machinery Requirements and Costs
  • Raw Material Requirements and Costs
  • Packaging Requirements and Costs
  • Transportation Requirements and Costs
  • Utility Requirements and Costs
  • Human Resource Requirements and Costs
    

The report provides a detailed location analysis covering insights into the land location, selection criteria, location significance, environmental impact, expenditure, and other protein-infused coffee manufacturing plant costs. Additionally, the report provides information related to plant layout and factors influencing the same. Furthermore, other requirements and expenditures related to machinery, raw materials, packaging, transportation, utilities, and human resources have also been covered in the report.

• Project Economics:
  • Capital Investments
  • Operating Costs
  • Expenditure Projections
  • Revenue Projections
  • Taxation and Depreciation
  • Profit Projections
  • Financial Analysis
    

The report also covers a detailed analysis of the project economics for setting up a protein-infused coffee manufacturing plant. This includes the analysis and detailed understanding of capital expenditure (CapEx), operating expenditure (OpEx), income projections, taxation, depreciation, liquidity analysis, profitability analysis, payback period, NPV, uncertainty analysis, and sensitivity analysis. Furthermore, the report also provides a detailed analysis of the regulatory procedures and approvals, information related to financial assistance, along with a comprehensive list of certifications required for setting up a protein-infused coffee manufacturing plant.

Report Coverage:

Cocoa fell to 5,359.52 USD/T on December 1, 2025, down 0.82% from the previous day. Over the past month, Cocoa's price has fallen 18.29%, and is down 41.61% compared to the same time last year, according to trading on a contract for difference (CFD) that tracks the benchmark market for this commodity. Cocoa - values, historical data, forecasts and news - updated on December of 2025.

In 2023, the sales at coffee shops in Japan amounted to an estimated **** trillion Japanese yen. Coffee shops cater to the ample demand for caffeinated drinks in Japanese society, offering a dedicated space for coffee consumption. Japan is one of the largest coffee markets in the world. To satisfy domestic demand, large quantities of coffee are imported, making Japan one of the major coffee importing countries in the world. The country’s largest source of imports is Brazil. Coffee consumption in Japan Coffee is one of the most popular non-alcoholic beverages in Japan, together with tea, mineral water, and carbonated drinks. On average, almost three-quarters of Japanese people drink coffee daily. Coffee consumption is common in a variety of settings. In Japan, most coffee drinks are consumed at home, while drinking coffee at work or school is another common setting. Most coffee drinkers are not regular visitors to coffee shops in Japan. Leading coffee shop chains There are four big coffee shop chain companies operating in Japan, the largest of which, in terms of the number of establishments, is Starbucks. Starbucks is also the leading foreign brand among them, while Doutor and Komeda are the largest chains of Japanese origin. Coffee shops of these brands are often encountered in the busiest spots at or near train stations in metropolitan areas in Japan.

Starbucks is one of the largest brands in the world. In 2025, the global coffee shop chain was valued at approximately 38.76 billion U.S. dollars. This shows a significant decrease compared to the company's previous value of 60.67 billion U.S. dollars in 2024.

📍 Google Maps Data – Coffee Shops in Kota Bogor

This dataset is a structured collection of coffee shops in Kota Bogor, Indonesia, scraped from Google Maps. It contains rich metadata for each location, including: 1. Shop's URL 2. Location name 3. Category (e.g., café, coffee shop) 4. Address 5. Rating 6. Number of ratings 7. Price range per person 8. Number of people reporting it 9. Price category distribution (e.g., low, mid, high with percentage votes) 10. Daily opening and closing hours (Mon–Sun)

The dataset is ideal for geospatial analysis, local business intelligence, pricing trend detection, and comparative study of opening hours.

How it was collected: The script automates a Google Maps search, scrolls through results, opens each listing, and extracts key data fields.

The United States and China topped the ranking of countries with the largest number of Starbucks stores worldwide as of September 2024. In that month, the famous U.S. coffeehouse chain had the most stores in its home country accounting for over 16 thousand stores. How much revenue does Starbucks generate globally? In 2024, the global net revenue of Starbucks increased over the previous year. This pattern been consistent since 2010, except for 2020, when a decline in net revenue occurred due to the impact of the coronavirus pandemic. Meanwhile, when looking at a breakdown of Starbucks' global revenue, the company reported that beverages accounted for the largest portion of its revenue globally. Is Starbucks the most popular coffee shop chain in the United States? In 2023, a survey conducted among coffee drinkers found that nearly half of the respondents named Starbucks as their favorite coffee brand in the United States. Following somewhat closely behind were other coffee shop chains like Dunkin’ and Folgers, ranking second and third, respectively. In 2024, Starbucks' American Customer Satisfaction (ACSI) score reached 80 out of 100.

During the 2024 financial year, Starbucks generated a majority of its global revenue from beverage products which amounted to 21.88 billion U.S. dollars. In comparison, the revenue from its food products amounted to 6.75 billion U.S. dollars. The drop in revenue from 2019 to 2020 can be at least partly attributed to the coronavirus (COVID-19) pandemic. What are Starbucks’ total assets? With over 40 thousand Starbucks stores worldwide in 2024, the company has established itself as one of the world’s leading coffeehouse chains. During that same year, Starbucks’ total assets amounted to approximately 31.34 billion U.S. dollars. This figure represents an increase of nearly two billion U.S. dollars when compared to the previous year’s total of 29.45 billion in 2023. How much does Starbucks spend on advertising? Starbucks was valued at over 69 billion U.S. dollars worldwide in 2024, making it the second most valuable quick service restaurant brand in the world. In its fiscal year ending September 2023, Starbucks’ advertising costs totaled roughly 507 million U.S. dollars. This figure represents an increase in global advertising investments compared to the previous year, in which the coffeehouse chain spent 416.7 million U.S. dollars promoting its products and services.

Global coffeehouse chain Starbucks reported a net income amounting to 3.76 billion U.S. dollars during the 2024 financial year. This shows a decrease over the previous year's total of 4.12 billion U.S. dollars.

Global coffeehouse chain, Starbucks, reported an operating income of 5.41 billion U.S. dollars from its operations worldwide in 2024. This figure shows an decrease over the previous year's total of 5.87 billion. The company's operating income peaked in 2023.

The global coffeehouse chain, Starbucks, had 1,603 stores in Canada in 2024. Most of the chain's establishments were company-operated, a figure amounting to exactly 997 stores, while the remaining 486 stores were licensed. In recent years, the number of licensed Starbucks stores in Canada has seen consistent growth. How many Starbucks stores are there worldwide? In 2023, the number of Starbucks stores worldwide exceeded 40 thousand. Starbucks stores have increased almost every year over the past decade. The only exception was in 2009, most likely due to the global financial crisis. Global expansion has ultimately allowed the coffee-chain to roughly double its number of locations over the past 10 years. In 2024, the number of international Starbucks stores was 21,775 How many Tim Hortons restaurants are in the U.S.? With over 5 thousand restaurants worldwide, Tim Hortons was one of the largest quick service chains in Canada as of 2023. During that year, the Toronto-based quick service restaurant chain operated and franchised a total of 5,833 restaurants across the globe. The vast majority of these restaurants were located in its home nation of Canada, and the second largest number of Tim Hortons restaurants were found in the United States.