Starbucks Data Set. Sep 9, 2023 · In this article, we will guide you through a detai

Sep 9, 2023 · In this article, we will guide you through a detailed data science project that seeks to analyze how customers interact with Starbucks’ promotional offers. This repository contains an in-depth analysis of Starbucks customer data, focusing on understanding customer behavior and preferences. Filter the data to select the top 5 most nourishing hot drinks and display the data in a pie chart. Contribute to mmcloughlin/starbucks development by creating an account on GitHub. Contribute to prasertcbs/basic-dataset development by creating an account on GitHub. Nov 7, 2024 · Our findings give Starbucks and local coffee shops valuable insights, allowing them to tailor their marketing strategies and improve customer retention efforts. Kenneth A. . Nutrition facts for several Starbucks food itemsSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. This repository takes you through a journey of a Data Analysis Project, step-by-step, ending with a great, functional, interactive dashboard developed using Tableau. May 6, 2025 · Welcome to the Starbucks Sales Data Analysis project! This project is focused on building a data-driven, interactive Power BI dashboard that provides deep insights into sales performance for a coffee shop chain (like Starbucks) across different dimensions — including time, location, product category, and order volume. Analyzing historical stock data enables insights into trends, market volatility, and factors influencing Starbucks' stock price over the specified timeframe. Dec 6, 2021 · Name, ownership type, and location of every Starbucks store in operation Apr 9, 2019 · store starbucks data into csv file. This repository showcases a Power BI dashboard analyzing Starbucks sales, product performance, and revenue trends. pbix: Power BI file containing the complete report. Explore the breakdown of calories, fat, sugar, and more, and visualize how different drinks compare across various categories. They give offers depending on demographics, so not Jan 15, 2021 · At the National Retail Federation’s 2021 Big Show, Tableau CTO Andrew Beers talks with Rajesh Naidu, Starbucks VP of Architecture, Data & Analytics Technology, about the company’s use of data to connect with people. This dataset describes Starbuck drinks in terms of their beverage categories (coffee, frappucino, etc) and beverage prep (Size and type of Milk), as well as their nutrional values. com-starbucks-2. Census Bureau, 2009-2013 5-Year American Community Survey. Name, ownership type, and location of every Starbucks store in operation Jun 28, 2020 · This data set contains three files. fat: a numeric vector carb: a numeric vector fiber: a numeric vector protein: a numeric vector type: a factor with levels bakery, bistro box, hot breakfast, parfait, petite, salad, and sandwich Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. Project Files starbucks_beverage. To help guide our customers’ decision making, the nutritional facts and ingredients for the majority of food and beverages served at Starbucks Feb 22, 2025 · Misleading for Imbalanced Data: In the Starbucks dataset, only 11% of offers were completed. The dashboard provides actionable insights into customer behavior, product popularity, and overall business performance. Most of the dataset was clean but there was 1 column that needed to be separated into 2 different columns based on the size and preparation of the milk. The dashboard provides a holistic view of Starbucks' product offerings through four interconnected pages. csv: Original dataset used for this project (uncleaned). The state/territory with the most number of Starbucks locations in the US is California with 3,039 locations, which is 18% of all Starbucks locations in America. A model predicting “no completion” for all cases would achieve 89% accuracy but fail to identify Mar 4, 2025 · A detailed Starbucks location analysis in the US reveals that California is a significant hub for the brand with the most number of stores in place. Read more in our Statista topic page on Starbucks! Investor Relations Contact Starbucks Coffee Company Investor Relations Department 2401 Utah Avenue South, Mailstop IR Seattle, WA 98134 investorrelations@starbucks. ☕ Starbucks Beverage Analysis Dashboard ☕📊 Just brewed up a data-driven journey through your favorite Starbucks beverages! 🌐 Explore caffeine content, nutritional breakdowns, and carbohydrate c Feb 14, 2023 · This post is about the Starbucks Capstone Challenge project. The Starbucks Dashboard provides an in-depth analysis of the nutritional content of various Starbucks beverages. Then you can use embedded charts to visualize the data. Dec 12, 2022 · 2022-12-12 Dataset Our team found this Starbucks dataset on Kaggle, in which the data was last updated in 2015. Nov 26, 2024 · A comprehensive Power BI dashboard analyzing Starbucks drink products, focusing on nutritional content, health insights, and store location information. While the data for Starbucks’ store location is quite up to date as it was collected in 2023, the state population data came from the 2019 Census, whereas the Starbucks drink dataset only reflected its 2021 menu version. Mar 23, 2021 · An opportunity brewing Through its network of over 30,000 stores worldwide, Starbucks has been gathering over 100 million transactions a week. data-science machine-learning data-mining deep-neural-networks deep-learning machine-learning-algorithms data-visualization datascience data-engineering data-analysis machinelearning nutrition starbucks starbucks-coffee starbucks-dataset nutritional-facts nutrional Updated Mar 10, 2025 Jupyter Notebook Feb 6, 2024 · In this immersive analysis, we embark on a captivating journey, delving into a compelling use case constructed from Starbucks’ generous sharing of data related to their Rewards program. Nov 16, 2020 · To isolate Starbucks locations that are within a 5 mile distance of a college, an analysis was performed using ArcGIS. and 968,694, respectively. Sep 24, 2019 · Starbucks Nutritional Information Maggie Kauffeld 9/24/2019 Starbucks Menu Data The following is the nutritional information for Starbucks’ drink menu. csv at master · ali-ce/datasets In our Data Analysis, we answered the three questions that we set out to explore with the Starbucks Transactions dataset. This is a work in progress. Explore and run machine learning code with Kaggle Notebooks | Using data from multiple data sources Nov 6, 2024 · In this article. Jun 4, 2023 · When exploring data, it is important to detect any possible outliers, since they can have a large influence on statistics derived from the dataset. Explore and run machine learning code with Kaggle Notebooks | Using data from Starbucks Customer Survey Each project is housed its own dedicated repo. Explore and run machine learning code with Kaggle Notebooks | Using data from Starbucks Customer Data This dataset includes the nutritional information for Starbucks’ food and drink menu items. Feb 24, 2021 · A list of Starbucks locations, scraped from the web in 2017 chrismeller. item Food item. The biggest coffeehouse chain in the world, Starbucks shows no sign of slowing its global expansion. The analysis utilizes the Starbucks Customer Data dataset from Kaggle and employs advanced data analysis techniques, culminating in the application of K-Nearest Neighbors (KNN) clustering for customer segmentation. An offer can Sep 24, 2019 · Starbucks Nutritional Information Maggie Kauffeld 9/24/2019 Starbucks Menu Data The following is the nutritional information for Starbucks’ drink menu. The machine learning model was constructed using the 2016 Starbucks dataset and the World Bank data. js?v=acb0d8672e67e4504b3c:2:3254327. With detailed information on daily price movements and trading activity, the dataset facilitates a deeper understanding of investor sentiment, market dynamics, and the company's overall This data set contains simulated data that mimics customer behavior on the Starbucks rewards mobile app. The state/territory with the most number of Starbucks locations in the UK is England with 1,204 locations, which is 84% of all Starbucks locations in the UK. Starbucks is the premier roaster, marketer and retailer of specialty coffee in the world, operating in 86 markets. Dec 3, 2025 · Starbucks earns the majority of its revenue through its beverages, although in recent years food has also started to generate more revenue for the company. Extract Starbucks F&B Data for real-time insights. Starbucks nutrition Description Nutrition facts for several Starbucks food items Usage starbucks Format A data frame with 77 observations on the following 7 variables. Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. S. csv")) head (starbucks_data) Oct 1, 2025 · There are 1,421 Starbucks locations in the United Kingdom as of October 01, 2025. Jul 11, 2025 · Geospatial analysis of Starbucks US store locations integrated with county-level population and income data to identify optimal areas for expansion. Explore the menu, sign up for Starbucks® Rewards, manage your gift card and more. The menu includes f 33 different beverages. fat a numeric vector carb a numeric vector fiber a numeric vector protein a numeric vector type a factor with levels bakery, bistro box, hot breakfast, parfait, petite, salad, and sandwich My datasets - Original data or Aggregated / cleaned / restructured existing datasets. Read more in our Statista topic page on Starbucks! Contains a single commit for each day that batches up all changes to the Starbucks dataset as a CSV file. Our aim To analyze the Starbucks drinks nutrition facts, study the correlation between nutrients, design visualization for the nutrition of each beverage category, and provide drinks recommendations based on the exploratory data analysis. This data set used here is to determine where the population at $60,000 and over income level located. Supply $100 million in farmer loans by the end of 2025 (cumulative as of the fund’s inception). com This repository contains a Jupyter notebook for analyzing and visualizing Starbucks beverage data. Starbucks Drinks Ingredients detailSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. List of Starbucks locations. Our food menu is designed to reflect a range of choices from wholesome to indulgent, which allows customers to make nutritional choices that are right for them. com An analysis of a data set that contains simulated data that mimics customer behavior on the Starbucks rewards mobile app. Provide 100 million climate-tolerant coffee trees to farmers by 2025. It empowers users to make informed choices by presenting complex nutritional data in a visually appealing and easily understandable format. Question: Starbucks Data Set Description This data set includes the names of 77 Starbucks menu items along with the number of calories, grams of fat, grams of carbohydrates, grams of fiber, and grams of protein each contains. Income level of the target market depends on life-stage, but it is relatively high in Starbucks case (Sam, 2010). kaggle. This journey isn’t just about numbers; it’s Mar 4, 2023 · The inspiration for my design of this dashboard is taken from the Starbucks website itself. Nov 24, 2023 · Get to know how Starbucks is using Data Analytics to improve their customer experience. Starbucks offers a diverse menu of high-quality food for breakfast, lunch and snacking. Deletes will obviously be stores that seem to have closed and adds are new stores that have opened. Objective Contribute to vishakha700/Starbucks_Sales development by creating an account on GitHub. For a more descriptive analysis, check out More than just great coffee. For organizations involved in Web Scraping Starbucks Store Locations US, this dataset acts as a foundational resource, ensuring up-to-date insights across all 50 states. Dec 1, 2023 · In this analysis, we take a deep dive into the world of Starbucks, unraveling the customer experience story as told through 850 candid reviews. at https://www. Improve this page Add a description, image, and links to the starbucks-dataset topic page so that developers can more easily learn about it. know how Starbucks company is driving success with the help of data analytical strategies. From store density trends and operational hours to geocoded data points, this dataset provides granular visibility into one of the largest coffee chains globally. The first file describes the characteristics of each offer, including its duration and the amount (difficulty) it will cost the customer to complete it. Gender does influence how much a person spends at Starbucks. It focuses on sales insights, trends, top-performing categories, and visual storytelling through clean and meaningful visualizations. At Tableau we value the relationship that we have with Starbucks and look forward to helping you reach your goals and gain the insights you need to be successful. This project sought to use transaction, demographic and offer data to analyze how different customers Kaggle is the world’s largest data science community with powerful tools and resources to help you achieve your data science goals. github. Starbucks has a track record of delivering value May 6, 2025 · This dataset contains a collection of consumer reviews and ratings for Starbucks, a renowned coffeehouse chain. Starbucks' American Customer Satisfaction Index (ACSI) score in the United States fluctuated from 2006 to 2025. The Starbucks and Dunkin dataset is a comparative review dataset that provides qualitative insights into the customer experience, service quality, and product offerings of two major coffee shop franchises, Starbucks and Dunkin. Jun 24, 2019 · In our Data Analysis, we answered three questions that we set out to explore with the Starbucks Transactions dataset. Report Creation Process Data Cleaning: Resolved duplicates and standardized columns using median values for consistency. The aim is to apply different skills garnered during my data science training at Udacity. js?v=acb0d8672e67e4504b3c:2:3252041. When selecting the Starbucks location layer, an expression was added to set parameters to a 5 mile radius. Starbucks Menu Data Analysis This modest data analysis endeavor revolves around a compact 'Starbucks Menu' dataset, primarily crafted to highlight my proficiency in Tableau and serve as a practice exercise. Web-Scraped Starbucks Reviews with Ratings and Images Contains a single commit for each day that batches up all changes to the Starbucks dataset as a CSV file. What is Starbucks? Starbucks Corporation is Check out Starbucks menu and get nutritional information about each menu item. Explore and run machine learning code with Kaggle Notebooks | Using data from Starbucks When it comes to elevating people with the power of data, Tableau combines a laser focus on how people see and understand data with the kind of robust, scalable platform you need to run even the world’s largest organizations. This project involves a detailed Power BI visualization based on the Starbucks Customer Survey dataset obtained from Kaggle. Web Scraping Starbucks Restaurant Data enhances decision-making across the USA, UK, and India. Formed in 1985, Starbucks Corporation’s common stock trades on the Nasdaq Global Select Market (“Nasdaq”) under the symbol “SBUX. All nutritional information for drinks are for a 12oz serving size. The address is 379 Glen Cove Road, Westbury, NY 11590. The analysis focuses on customer preferences, sales trends, and pricing strategies to optimize decision-making for a coffee shop. Data Tables The following data tables include updates on our progress and provide information associated with our goals. Question: Given what you know about the customer satisfaction ratings in the Starbucks dataset, the most appropriate conclusion regarding these ratings would be:Select one:A. 🚀 Power BI Starbucks Dashboard: Uncovering Hidden Insights ☕📊 🔥 Excited to share my latest Power BI project! 🔥 Ever wondered what’s really in your Starbucks drink? Using Power BI, I analyzed Starbucks’ beverage data to uncover insights into calories, caffeine, protein, sugar, and trans fat content—helping users make smarter, healthier choices - GitHub - rahulslj/Starbucks Jan 9, 2022 · This data set is a simplified version of the real Starbucks app because the underlying simulator only has one product whereas Starbucks actually sells dozens of products. All starbucks locations in the world. us_starbucks. Analysis and visualization of the dataset from Starbucks This pen shows how to use Flexmonster for web reporting: load the JSON data into the pivot table, aggregate, sort and filter it. calories: Calories. Geo file of starbucks in the US Documentation Starbucks locations scraped from the Starbucks website by Chris Meller Leverage the Beverages and Food Dataset from Starbucks USA to monitor menu trends. This project analyzes coffee sales data from a Starbucks dataset using Excel analytics to extract meaningful business insights. Mar 19, 2017 · The interactive data story allows you to review the Starbucks statistics on store locations, food nutrition and calories in beverages. The dataset gives multiple ways of preparing the beverage for a total of 243 combinations. There is also a classification of each item as either a bakery item or non-bakery item. This project focuses on analyzing sales data from Starbucks to gain insights into customer behavior, product performance, and sales trends across various locations. Something went wrong and this page crashed! If the issue persists, it's likely a problem on our side. - GitHub - DarshanaMathur/Star Welcome to our Starbucks dataset explorer app! Welcome to the Starbucks Dataset Explorer! This app lets you dive into the nutritional data of Starbucks beverages. item: Food item. Despite its relatively small scale, the dataset was cleaned using MS Excel to address missing data and eliminate extra whitespaces. Different features in the dataset were analyzed and classification models were built to predict how a user would respond to an offer. Our AI-driven data generation technology ensures privacy and accuracy in every dataset. Each project is housed its own dedicated repo. Once every few days, Starbucks sends out an offer to users of the mobile app. This repository aims to make this data available to open source location and map based projects and enrich it to make for a better user experience. Released here under Creative Commons B - datasets/Starbucks/Starbucks World Stats. Mar 31, 2020 · The Starbucks Udacity Data Scientist Nanodegree Capstone challenge data set is a simulation of customer behavior on the Starbucks rewards mobile application. Mar 21, 2024 · # Load the dataset starbucks_data <- read. • Employment status. STARBUCKS COFFEE #7624 (Health Operation# 577142) is a foood service establishment inspected by New York State Department of Health (NYSDOH). A dataset of all Starbucks locations in NYC. It aims to provide insights into Starbucks' global growth strategy by analyzing store distribution, ownership models, coffee consumption trends, and the nutritional content of Starbucks food and beverages. Curate this topic Explore and run machine learning code with Kaggle Notebooks | Using data from Starbucks STARBUCKS COFFEE #7624 (Health Operation# 577142) is a foood service establishment inspected by New York State Department of Health (NYSDOH). Jan 3, 2024 · These Starbucks Statistics are inclusive of worldwide data on coffee lovers along with additional information on consumer behavior, locations, in addition to menus at Starbucks. Sep 15, 2025 · At Starbucks, we approach data and privacy as we approach everything we do. The objective was to analyze customer preferences and satisfaction levels to derive actionable insights for improving customer experience at Starbucks. Jan 31, 2024 · To extract actionable insights, these datasets are cleaned, combined, and data analysis and modeling techniques are applied. Leverage Starbucks Coffee Dataset to optimize operations. ” a collection of Dataset from various sources. Question: Starbucks Data Set Description This data sets includes the names of 77 Starbucks menu items along with the number of calories, grams of fat, grams of carbohydrates, grams of fiber, and grams of protein each contains. Their goal is to provide you with the information you need to make sensible decisions about balance, variety, and moderation in your diet. Modified 2021-04-02T14:52:09 Resources | Packages | Documentation | Contacts | References | Data Dictionary Resources all_starbucks. Investor Relations Contact Starbucks Coffee Company Investor Relations Department 2401 Utah Avenue South, Mailstop IR Seattle, WA 98134 investorrelations@starbucks. An analysis of a data set that contains simulated data that mimics customer behavior on the Starbucks rewards mobile app. 1. The data was collected through web scraping and includes textual reviews, star ratings, location information, and image links from multiple pages on the ConsumerAffairs website. calories Calories. Your Sep 20, 2021 · Consumer transaction data found that when pumpkin spice lattes returned to the menu in 2021, Starbucks sales grew 10 percent week-over-week while Dunkin had no major change. This project showcases an interactive Power BI dashboard built using real-world Starbucks sales data. csv (here ("r_data", "directory. Jul 8, 2020 · Starbucks Corporation is an American multinational chain of coffeehouses Like many other other companies, Starbucks has offers of various types. The ultimate goal of the project is to determine the most effective Sep 11, 2025 · Starbucks recognizes that data, analytics, and AI are strategic functional assets essential to how the company operates, innovates, and grows. Froot, Harvard Business School Professor Emeritus, specializing in business administration, finance, and global economic research This data set contains simulated data that mimics customer behavior on the Starbucks rewards mobile app. After running the analysis, a new layer was created, showing the desired Starbucks locations. com/static/assets/app. We want to make sure that the average calorie data by type we extracted in the previous step is not skewed due to any extreme values. Nutrition information for Starbucks menu items, including food and drinks Mar 31, 2021 · Analyze Starbucks Customer Data using MySQL, revealing the demographic and income distribution of Starbucks customers, their purchase behavior, and related Coupon usage. Apr 30, 2020 · The dataset for this project is a simplified version of the real Starbucks rewards mobile app. Jun 26, 1992 · Starbucks Stores by Type Starbucks stats breaking down the number of stores by ownership. Note: The 2021 Starbucks dataset was only used in the data analysis part of the project, with some assumptions made. The Starbucks Store Location Dataset is a valuable resource for anyone who wants to learn more about Starbucks or find a Starbucks store near them. Apr 12, 2022 · Here we'll cover some of the fun datasets you can analyze to hone your skills, which are free, & range from entertainment to anime to sports. There is additional data that needs to be included in this dataset and it needs to get properly automated so we hav e a regular commit daily at a particular time. 5 days ago · There are 16,854 Starbucks locations in the United States as of December 15, 2025. GitHub Gist: instantly share code, notes, and snippets. May 28, 2025 · Explore high-quality Starbucks Dataset with Azoo AI. Explore the 2025 Starbucks Outlet Location Intelligence Dataset to uncover store distribution data insights, regional trends, and expansion strategies at scale. - AdityaPbhu/starbucks-geospatial-store-location About the Data ¶ Starbucks provides a nutrition analysis of its menu items to help you balance your Starbucks order with other foods you eat. Quarterly Results and Supplemental Data Financial Summary Supplemental Financial Data Store Counts Store Counts: by Market Supplemental Data Starbucks Card, Loyalty & Mobile Dashboard Reconciliations Q4 and Full FY25 Quarterly Reconciliation of Selected GAAP to Non-GAAP Measures Q3 FY25 Quarterly Reconciliation of Selected GAAP to Non-GAAP Starbucks nutritionStarbucks nutrition Nutrition facts for several Starbucks food items data Format A data frame with 77 observations on the following 7 variables. Our aim Survey from Malaysia on Starbucks Customer BehaviourSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. The dataset includes information about various beverages, their nutritional content, and different beverage preparations. Until FY24, seedlings had been provided only in Colombia. starbuckschallenge. Starbucks Beverage ComponentsSomething went wrong and this page crashed! If the issue persists, it's likely a problem on our side. Source: U. It is a great example of how data can be used to improve the customer experience and make businesses more efficient. We put people first. To make use of these data, the company set up a dedicated team of data scientists, led by Jon Francis, Starbucks’ Senior Vice President of enterprise analytics, data science, research data, and analytics. Jun 26, 2021 · This data set contains simulated data that mimics customer behavior on the Starbucks rewards mobile app. Case study on Starbuck's success with data analytics Contribute to AlbertAldo/Starbucks-Malaysia-Exploratory-Data-Analysis development by creating an account on GitHub. The last inspected date is August 31, 2018. Nov 24, 2025 · Get the complete list of Starbucks Store locations in the USA with updated dataset including geocoded address, store id, phone number, open hours, etc. - GitHub - refuna/DataViz-Starbucks-Locations-Analysis: This project is an interactive web-based dashboard built using Streamlit and Plotly.