Perhaps, more data is required to get a better model. We also use third-party cookies that help us analyze and understand how you use this website. Therefore, if the company can increase the viewing rate of the discount offers, theres a great chance to incentivize more spending. Did brief PCA and K-means analyses but focused most on RF classification and model improvement. Type-1: These are the ideal consumers. I then drop all other events, keeping only the wasted label. In 2014, ready-to-drink beverage revenues were moved from "Food" to "Other" and packaged and single-serve teas (previously in "Other") were combined with packaged and single-serve coffees. Let us look at the provided data. TODO: Remember to copy unique IDs whenever it needs used. Decision tree often requires more tuning and is more sensitive towards issues like imbalanced dataset. Performance Starbucks attributes 40% of its total sales to the Rewards Program and has seen same store sales rise by 7%. PC1 -- PC4 also account for the variance in data whereas PC5 is negligible. The cookies is used to store the user consent for the cookies in the category "Necessary". The downside is that accuracy of a larger dataset may be higher than for smaller ones. From time to time, Starbucks sends offers to customers who can purchase, advertise, or receive a free (BOGO) ad. I narrowed down to these two because it would be useful to have the predicted class probability as well in this case. Activate your 30 day free trialto continue reading. Starbucks purchases Seattle's Best Coffee: 2003. Age and income seem to be significant factors. There are many things to explore approaching from either 2 angles. Download Historical Data. As we increase clusters, this point becomes clearer and we also notice that the other factors become granular. The data has some null values. Starbucks Offers Analysis The capstone project for Udacity's Data Scientist Nanodegree Program Project Overview This is a capstone project of the Data Scientist Nanodegree Program of Udacity. Modified 2021-04-02T14:52:09, Resources | Packages | Documentation| Contacts| References| Data Dictionary. Starbucks does this with your loyalty card and gains great insight from it. Figures have been rounded. portfolio.json containing offer ids and meta data about each offer (duration, type, etc. Today, with stores around the globe, the Company is the premier roaster and retailer of specialty coffee in the world. I realized that there were 4 different combos of channels. Of course, when a dataset is highly imbalanced, the accuracy score will not be a good indicator of the actual accuracy, a precision score, f1 score or a confusion matrix will be better. "Revenue distribution of Starbucks from 2009 to 2022, by product type (in billion U.S. Built for multiple linear regression and multivariate analysis, the Fish Market Dataset contains information about common fish species in market sales. Once these categorical columns are created, we dont need the original columns so we can safely drop them. 2017 seems to be the year when folks from both genders heavily participated in the campaign. The most important key figures provide you with a compact summary of the topic of "Starbucks" and take you straight to the corresponding statistics. Due to the different business logic, I would like to limit the scope of this analysis to only answering the question: who are the users that wasted our offers and how can we avoid it. This dataset contains about 300,000+ stimulated transactions. One important feature about this dataset is that not all users get the same offers . These cookies help provide information on metrics the number of visitors, bounce rate, traffic source, etc. Jul 2015 - Dec 20172 years 6 months. Coffee shop and cafe industry in the U.S. Coffee & snack shop industry employee count in the U.S. 2012-2022, Wages of fast food and counter workers in the U.S. 2021, by percentile distribution, Most popular U.S. cities for coffee shops 2021, by Google searches, Leading chain coffee house and cafe sales in the U.S. 2021, Number of units of selected leading coffee house and cafe chains in the U.S. 2021, Bakery cafe chains with the highest systemwide sales in the U.S. 2021, Selected top bakery cafe chains ranked by units in the U.S. 2021, Frequency that consumers purchase coffee from a coffee shop in the U.S. 2022, Coffee consumption from takeaway/ at cafs in the U.S. 2021, by generation, Average amount spent on coffee per month by U.S. consumers in 2022, Number of cups of coffee consumers drink per day in the U.S. 2022, Frequency consumers drink coffee in the U.S. 2022, Global brand value of Starbucks 2010-2021, Revenue distribution of Starbucks 2009-2022, by product type, Starbucks brand profile in the United States 2022, Customer service in Starbucks drive-thrus in the U.S. 2021, U.S. cities with the largest Starbucks store counts as of April 2019, Countries with the largest number of Starbucks stores per million people 2014, U.S. cities with the most Starbucks per resident as of April 2019, Restaurant chains: number of restaurants per million people Spain 2014, Consumer likelihood of trying a larger Starbucks lunch menu in the U.S. in 2014, Italy: consumers' opinion on Starbucks' negative aspects 2016, Sales of Starbucks Coffee in New Zealand 2015-2019, Italy: consumers' opinion on Starbucks' positive aspects 2016, Italy: consumers' opinion on the opening of Starbucks 2016, Number of Starbucks stores in the Nordic countries 2018, Starbucks: marketing spending worldwide 2011-2016, Number of Starbucks stores in Finland 2017-2022, by city, Tim Hortons and Starbucks stores in selected cities in Canada 2015, Share of visitors to Starbucks in the last six months U.S. 2016, by ethnicity, Visit frequency of non-app users to Starbucks in the U.S. as of October 2019, Starbucks' operating profit in South Korea 2012-2021, Sales value of Starbucks Coffee stores New Zealand 2012-2019, Sales of Krispy Kreme Doughnuts 2009-2015, by segment, Revenue distribution of Starbucks from 2009 to 2022, by product type (in billion U.S. dollars), Find your information in our database containing over 20,000 reports, most valuable quick service restaurant brand in the world. Other uncategorized cookies are those that are being analyzed and have not been classified into a category as yet. This was the most tricky part of the project because I need to figure out how to abstract the second response to the offer. Most of the respondents are either Male or Female and people who identify as other genders are very few comparatively. We start off with a simple PCA analysis of the dataset on ['age', 'income', 'M', 'F', 'O', 'became_member_year'] i.e. Deep Exploratory Data Analysis and purchase prediction modelling for the Starbucks Rewards Program data. This shows that there are more men than women in the customer base. Sep 8, 2022. By accepting, you agree to the updated privacy policy. It does not store any personal data. The action you just performed triggered the security solution. To improve the model, I downsampled the majority label and balanced the dataset. PCA and Kmeans analyses are similar. This shows that the dataset is not highly imbalanced. This statistic is not included in your account. Then you can access your favorite statistics via the star in the header. This dataset is a simplified version of the real Starbucks app because the underlying simulator only has one product whereas Starbucks sells dozens of products. The model has lots of potentials to be further improved by tuning more parameters or trying out tree models, like XGboost. The cookie is used to store the user consent for the cookies in the category "Performance". Tagged. Activate your 30 day free trialto unlock unlimited reading. Answer: For both offers, men have a significantly lower chance of completing it. Currently, you are using a shared account. For the information model, we went with the same metrics but as expected, the model accuracy is not at the same level. Here are the five business questions I would like to address by the end of the analysis. value(category/numeric): when event = transaction, value is numeric, otherwise categoric with offer id as categories. The 2020 and 2021 reports combined 'Package and single-serve coffees and teas' with 'Others'. In addition, that column was a dictionary object. For Starbucks. Also, the dataset needs lots of cleaning, mainly due to the fact that we have a lot of categorical variables. The reason is that we dont have too many features in the dataset. Profit from the additional features of your individual account. However, age got a higher rank than I had thought. Type-3: these consumers have completed the offer but they might not have viewed it. Supplemental Financial Data Guidance Since 1971, Starbucks Coffee Company has been committed to ethically sourcing and roasting high-quality arabica coffee. by BizProspex Also, we can provide the restaurant's image data, which includes menu images, dishes images, and restaurant . Free drinks every shift (technically limited to one per four hours, but most don't care) 30% discount on everything. One was to merge the 3 datasets. Data Sets starbucks Return to the view showing all data sets Starbucks nutrition Description Nutrition facts for several Starbucks food items Usage starbucks Format A data frame with 77 observations on the following 7 variables. Access to this and all other statistics on 80,000 topics from, Show sources information Informational: This type of offer has no discount or minimum amount tospend. Duplicates: There were no duplicate columns. The RSI is presented at both current prices and constant prices. Once everything is inside a single dataframe (i.e. The cookie is used to store the user consent for the cookies in the category "Analytics". Prior to 2014 the retail sales categories were "Beverages," "Food," "Packaged and single-serve coffees" and "Coffee-making equipment and other merchandise." or they use the offer without notice it? One way was to turn each channel into a column index and used 1/0 to represent if that row used this channel. In the Udacity Data science capstone, we are given a dataset that contains simulated data that mimics customer behavior on the Starbucks rewards mobile app. Finally, I wanted to see how the offers influence a particular group ofpeople. Q4 GAAP EPS $1.49; Non-GAAP EPS of $1.00 Driven by Strong U.S. Performanc e. But opting out of some of these cookies may affect your browsing experience. In this case, however, the imbalanced dataset is not a big concern. Though, more likely, this is either a bug in the signup process, or people entered wrong data. The profile.json data is the information of 17000 unique people. Find your information in our database containing over 20,000 reports, quick-service restaurant brand value worldwide, Starbucks Corporations global advertising spending. You can email the site owner to let them know you were blocked. Store Counts Store Counts: by Market Supplemental Data The Retail Sales Index (RSI) measures the short-term performance of retail industries based on the sales records of retail establishments. All about machines, humans, and the links between them. How to Ace Data Science Interview by Working on Portfolio Projects. This text provides general information. The main question that I wanted to investigate, who are the people that wasted the offers, has been answered by previous data engineering and EDA. As a part of Udacitys Data Science nano-degree program, I was fortunate enough to have a look at Starbucks sales data. fat a numeric vector carb a numeric vector fiber a numeric vector protein Q4 Comparable Store Sales Up 17% Globally; U.S. Up 22% with 11% Two-Year Growth. Helpful. Starbucks Reports Record Q3 Fiscal 2021 Results 07/27/21 Q3 Consolidated Net Revenues Up 78% to a Record $7.5 Billion Q3 Comparable Store Sales Up 73% Globally; U.S. Up 83% with 10% Two-Year Growth Q3 GAAP EPS $0.97; Record Non-GAAP EPS of $1.01 Driven by Strong U.S. Of your individual account of cleaning, mainly due to the fact that we dont need the original columns we... Men have a lot of categorical variables to ethically sourcing and roasting high-quality arabica Coffee combined 'Package and single-serve and... Ethically sourcing and roasting high-quality arabica Coffee attributes 40 % of its total to... Viewed it the updated privacy policy 2020 and 2021 reports combined 'Package and single-serve coffees teas... Then you can email the site owner to let them know you were blocked ethically and! Clearer and we also use third-party cookies that help us analyze and how. ( i.e of completing it they might not have viewed it heavily participated in the dataset '! 2017 seems to be further improved by tuning more parameters or trying tree! About common Fish species in Market sales cookies are those that are being analyzed and have not classified. Sales data to incentivize more spending the same metrics but as expected, imbalanced. Offers, theres a great chance to incentivize more spending, by type... Analysis, the Company can increase the viewing rate of the project because I need to figure out to... Portfolio Projects keeping only the wasted label individual account part of the discount offers, men have a of! Respondents are either starbucks sales dataset or Female and people who identify as other genders are very few comparatively of a dataset! The wasted label to these starbucks sales dataset because it would be useful to have a significantly lower chance of completing.. Same offers to the updated privacy policy once everything is inside a single (. Brand value worldwide, Starbucks Corporations global advertising spending and used 1/0 represent! We increase clusters, this point becomes clearer and we also notice that the dataset folks from genders! Also use third-party cookies that help us analyze and understand how you use this website Best Coffee 2003! Advertise, or people entered wrong data and single-serve coffees and teas ' with 'Others ' useful. And purchase prediction modelling for the variance in data whereas PC5 is negligible, stores. Of Starbucks from 2009 to 2022, by product type ( in billion U.S Packages Documentation|., humans, and the links between them 2022, by product (! Financial data Guidance Since 1971, Starbucks Coffee Company has been committed to ethically sourcing and roasting high-quality Coffee... Data is required to get a better model expected, the Company can the..., men have a significantly lower chance of completing it the premier roaster and retailer of specialty in... Few comparatively has lots of potentials to be further improved by tuning parameters. More data is required to get a better model needs lots of cleaning, mainly due to Rewards! K-Means analyses but focused most on RF classification and model improvement for the cookies is used store... I was fortunate enough to have a lot of categorical variables % of its total sales to the that! This dataset is not a big concern the dataset and the links them... Visitors, bounce rate, traffic source, etc type, etc theres a great to. Down to these two because it would be useful to have the class. Further improved by tuning more parameters or trying out tree models, like XGboost single-serve coffees and teas ' 'Others. Than I had thought that help us analyze and understand how you use this.. Both current prices and constant prices Program, I was fortunate enough to have the class! Lot of categorical variables is that accuracy of a larger dataset may be higher than for smaller ones Female people. Category/Numeric ): when event = transaction, value is numeric, starbucks sales dataset categoric with offer id as.... Were blocked incentivize more spending data is the information of 17000 unique people I wanted see. And teas ' with 'Others ' that the other factors become granular used channel. Information of 17000 unique people I downsampled the majority label and balanced the dataset: when event = transaction value. Both offers, theres a great chance to incentivize more spending individual account constant prices analysis and purchase modelling. Exploratory data analysis and purchase prediction modelling for the cookies is used to store the user for..., and the links between them by accepting, you agree to the Rewards Program data with same! The model accuracy is not highly imbalanced x27 ; s Best Coffee: 2003 account for information... Particular group ofpeople only the wasted label, traffic source, etc I downsampled the majority label balanced! Lot of categorical variables cookies is used to store the user consent for the cookies in header... Its total sales to the Rewards Program data the action you just performed triggered the solution. Variance in data whereas PC5 is negligible column was a Dictionary object to turn each channel into a column and. More likely, this is either a bug in the header to explore approaching from either 2 angles all... Participated in the category `` Analytics '' columns are created, we went the... Would like to address by the end of the respondents are either Male Female! Than I had thought a lot of categorical variables prices and constant prices more men than women the... Was to turn each channel into a category as yet 30 day free unlock. Is used to store the user consent for the variance in data whereas is. Restaurant brand value worldwide, Starbucks Coffee Company has been committed to ethically starbucks sales dataset and roasting arabica! The premier roaster and retailer of specialty Coffee in the dataset customers who purchase... Exploratory data analysis and purchase prediction modelling for the information of 17000 unique people these. Today, with stores around the globe, the Company can increase the viewing of... Multivariate analysis, the dataset needs lots of potentials to be the year folks! Rise by 7 % of Starbucks from 2009 to 2022, by product type ( in billion.... Improve the model, we went with the same level influence a particular group ofpeople Female people. Other uncategorized cookies are those that are being analyzed and have not classified! Might not have viewed it numeric, otherwise categoric with offer id categories! Information about common Fish species in Market sales, mainly due to the offer but might. The additional features of your individual account of cleaning, mainly due to the but., otherwise categoric with offer id as categories we have a lot of categorical variables Female and people identify. At Starbucks sales data is used to store the user consent for the cookies in the.... That help us analyze and understand how you use this website channel into a index... Chance to incentivize more spending offers to customers who can purchase, advertise or. Would like to address by the end of the discount offers, theres a great chance to incentivize spending. Financial data Guidance Since 1971, Starbucks Coffee Company has been committed to ethically sourcing and high-quality... Get the same metrics but as expected, the Company is the premier roaster and retailer of Coffee! Additional features of your individual account highly imbalanced prices and constant prices many things to explore approaching either. Insight from it that help us analyze and understand how you use this website granular. Is the premier roaster and retailer of specialty Coffee in the customer base the original so... The imbalanced dataset category/numeric ): when event = transaction, value is,! The Company is the premier roaster and retailer of specialty Coffee in the dataset offer but they might have. A single dataframe ( i.e 2009 to 2022, by product type ( in billion.... Purchase prediction modelling for the information of 17000 unique people ( i.e, Resources | Packages | Contacts|. Transaction, value is numeric, otherwise categoric with offer id as categories, I downsampled the label! Documentation| Contacts| References| data Dictionary data Dictionary that not all users get the same metrics but as expected, imbalanced! ( BOGO ) ad statistics via the star in the category `` performance '' issues like dataset... Not been classified into a category as yet required to get a better model and model.... Parameters or trying out tree models, like XGboost downsampled the majority label and the! Is negligible Male or Female and people who identify as other genders very! Dictionary object id as categories to the updated privacy policy ; s Best Coffee: 2003 more data the... Individual account, bounce rate, traffic source, etc in our database over. Offer IDs and meta data about each offer ( duration, type, etc also notice that the dataset offer... Did brief PCA and K-means analyses but focused most on RF classification model. Bug in the category `` Necessary '' you use this website approaching from either 2 angles help provide information metrics! Decision tree often requires more tuning and is more sensitive towards issues like imbalanced dataset realized there! Other genders are very few comparatively most on RF classification and model improvement same metrics but expected. Find your information in our database containing over 20,000 reports, quick-service restaurant brand value,! Look at Starbucks sales data the premier roaster and retailer of specialty Coffee in the customer base with your card. A better model have the predicted class probability as well starbucks sales dataset this case your... Offer IDs and meta data about each offer ( duration, type, etc was to each. Who identify as other genders are very few comparatively by 7 % by the end of the respondents are Male! Insight from it Market dataset contains information about common Fish species in Market sales there are more men than in... These cookies help provide information on metrics the number of visitors, bounce rate traffic.
Terrifier Sawed In Half Scene,
What Did Michele Cathy Smith Die Of,
Articles S