Fluent Essays

Exploring Market Basket Analysis (Association Rule) with R This assignment is to give you the hands-on experience with R for conducting Market Basket Analysis (Association Rule) using a real world data set. Please refer to the Chapter 14 in the reference textbook (through the link at the bottom under Lessons) and Chapter 16 of the official textbook for details. Then open Market Basket Analysis with R, go over the example by using groceries.csv data set and the same R codes to reproduce the results step by step, study the way to explain the analysis in the example. Now use the same R codes to repeat the Market Basket analysis as in the website but change the following support and confidence to mine some 10 rules: Set the minimum support to 0.001 Set the minimum confidence of 0.9 Show the top 10 rules Now, under the Targeting Items, answer these questions (set the minimum support to about 0.001 and minimum confidence to be 0.1) What are customers likely to buy before buying yogurt? What are customers likely to buy if they purchase yogurt? What are customers likely to buy before buying chicken? What are customers likely to buy if they purchase chicken? First, you need to follow the website example closely step by step and use the way the R outputs (numerical and graphical results) of the analysis are explained in it to give insights to answers based on the above required conditions. Please open the attached Week 7 Assignment Instructions and Sample R codes.docx for the R codes. You may also refer to textbooks to add some more numerical and graphical outputs to enrich your analysis (for bobus points). Please copy/paste screen images of your work in R, and put into a Word document for submission. Be sure to provide narrative of your answers (i.e., do not just copy/paste your answers without providing some explanation of what you did or your findings). Please include Introudction, R codes with outputs, Figures and explanations with cover and reference pages. A good conclusion to wrap up the assignment is also expected. You also need to follow APA formats. Reference http://www.salemmarafi.com/code/market-basket-analysis-with-r/ Week 7 Assignment Instructions and Sample R codes Exploring Market Basket Analysis (Association Rule) with R This assignment is to give you the hands-on experience with R for conducting Market Basket Analysis (Association Rule) using a real world data set. Please refer to the Chapter 14 in the reference textbook (through the link at the bottom under Lessons) and Chapter 16 of the official textbook for details. Then open this website, go over the example by using groceries.csv data set and the same R codes to reproduce the results step by step, study the way to explain the analysis in the example. Now use the same R codes to repeat the Market Basket analysis as in the website but change the following support and confidence to mine some 10 rules: 1. Set the minimum support to 0.001 2. Set the minimum confidence of 0.9 3. Show the top 10 rules Now, under the Targeting Items, answer these questions (set the minimum support to about 0.001 and minimum confidence to be 0.1) 1. What are customers likely to buy before buying yogurt? 2. What are customers likely to buy if they purchase yogurt? 3. What are customers likely to buy before buying chicken? 4. What are customers likely to buy if they purchase chicken? Follow the website example closely step by step and use the way the R outputs (numerical and graphical results) of the analysis are explained in it to give insights to answers based on the above required conditions. You may also refer to textbooks to add some more numerical and graphical outputs to enrich your analysis (for bobus points). Please copy/paste screen images of your work in R, and put into a Word document for submission.  Be sure to provide narrative of your answers (i.e., do not just copy/paste your answers without providing some explanation of what you did or your findings). Please include Introudction, R codes with outputs, Figures and explanations with cover and reference pages. A good conclusion to wrap up the assignment is also expected. You also need to follow APA formats. Reference http://www.salemmarafi.com/code/market-basket-analysis-with-r/ # Load the libraries library(arules) library(arulesViz) library(datasets)   # Load the data set data(Groceries) # Create an item frequency plot for the top 20 items itemFrequencyPlot(Groceries,topN=20,type=absolute) # Get the rules rules <- apriori(Groceries, parameter = list(supp = 0.001, conf = 0.8))   # Show the top 5 rules, but only 2 digits options(digits=2) inspect(rules[1:5]) rules<-sort(rules, by=confidence, decreasing=TRUE) rules <- apriori(Groceries, parameter = list(supp = 0.001, conf = 0.8,maxlen=3)) subset.matrix <- is.subset(rules, rules) subset.matrix[lower.tri(subset.matrix, diag=T)] <- NA redundant <- colSums(subset.matrix, na.rm=T) >= 1 rules.pruned <- rules[!redundant] rules<-rules.pruned #Targeting Items rules<-apriori(data=Groceries, parameter=list(supp=0.001,conf = 0.08), appearance = list(default=lhs,rhs=whole milk), control = list(verbose=F)) rules<-sort(rules, decreasing=TRUE,by=confidence) inspect(rules[1:5]) rules<-apriori(data=Groceries, parameter=list(supp=0.001,conf = 0.15,minlen=2), appearance = list(default=rhs,lhs=whole milk), control = list(verbose=F)) rules<-sort(rules, decreasing=TRUE,by=confidence) inspect(rules[1:5]) library(arulesViz) plot(rules,method=graph, engine=interactive,shading=NA) Market Basket Analysis with R http://www.salemmarafi.com/code/market-basket-analysis-with-r/ Association Rules There are many ways to see the similarities between items. These are techniques that fall under the general umbrella of association. The outcome of this type of technique, in simple terms, is a set of rules that can be understood as “if this, then that”. Applications So what kind of items are we talking about? There are many applications of association: · Product recommendation – like Amazon’s “customers who bought that, also bought this” · Music recommendations – like Last FM’s artist recommendations · Medical diagnosis – like with diabetes really cool stuff · Content optimisation – like in magazine websites or blogs In this post we will focus on the retail application – it is simple, intuitive, and the dataset comes packaged with R making it repeatable. The Groceries Dataset Imagine 10000 receipts sitting on your table. Each receipt represents a transaction with items that were purchased. The receipt is a representation of stuff that went into a customer’s basket – and therefore ‘Market Basket Analysis’. That is exactly what the Groceries Data Set contains: a collection of receipts with each line representing 1 receipt and the items purchased. Each line is called a transaction and each column in a row represents an item. You can download the Groceries data set to take a look at it, but this is not a necessary step. A little bit of Math We already discussed the concept of Items and Item Sets. We can represent our items as an item set as follows: I = { i1,i2,…,in } Therefore a transaction is represented as follows: tn = { ij,ik,…,in } This gives us our rules which are represented as follows: { i1,i2} => { ik} Which can be read as “if a user buys an item in the item set on the left hand side, then the user will likely buy the item on the right hand side too”. A more human readable example is: {coffee,sugar} => {milk} If a customer buys coffee and sugar, then they are also likely to buy milk. With this we can understand three important ratios; the support, confidence and lift. We describe the significance of these in the following bullet points, but if you are interested in a formal mathematical definition you can find it on wikipedia. · Support: The fraction of which our item set occurs in our dataset. · Confidence: probability that a rule is correct for a new transaction with items on the left. · Lift: The ratio by which by the confidence of a rule exceeds the expected confidence.  Note: if the lift is 1 it indicates that the items on the left and right are independent. Apriori Recommendation with R So lets get started by loading up our libraries and data set. # Load the libraries library(arules) library(arulesViz) library(datasets)   # Load the data set data(Groceries) Lets explore the data before we make any rules: # Create an item frequency plot for the top 20 items itemFrequencyPlot(Groceries,topN=20,type=absolute) We are now ready to mine some rules! You will always have to pass the minimum required support and confidence. · We set the minimum support to 0.001 · We set the minimum confidence of 0.8 · We then show the top 5 rules # Get the rules rules <- apriori(Groceries, parameter = list(supp = 0.001, conf = 0.8))   # Show the top 5 rules, but only 2 digits options(digits=2) inspect(rules[1:5]) The output we see should look something like this lhs rhs support confidence lift 1 {liquor,red/blush wine} => {bottled beer} 0.0019 0.90 11.2 2 {curd,cereals} => {whole milk} 0.0010 0.91 3.6 3 {yogurt,cereals} => {whole milk} 0.0017 0.81 3.2 4 {butter,jam} => {whole milk} 0.0010 0.83 3.3 5 {soups,bottled beer} => {whole milk} 0.0011 0.92 3.6 This reads easily, for example: if someone buys yogurt and cereals, they are 81\% likely to buy whole milk too. We can get summary info. about the rules that give us some interesting information such as: · The number of rules generated: 410 · The distribution of rules by length: Most rules are 4 items long · The summary of quality measures: interesting to see ranges of support, lift, and confidence. · The information on the data mined: total data mined, and minimum parameters. set of 410 rules   rule length distribution (lhs + rhs): sizes 3 4 5 6 29 229 140 12   summary of quality measures: support conf. lift Min. :0.00102 Min. :0.80 Min. : 3.1 1st Qu.:0.00102 1st Qu.:0.83 1st Qu.: 3.3 Median :0.00122 Median :0.85 Median : 3.6 Mean :0.00125 Mean :0.87 Mean : 4.0 3rd Qu.:0.00132 3rd Qu.:0.91 3rd Qu.: 4.3 Max. :0.00315 Max. :1.00 Max. :11.2   mining info: data n support confidence Groceries 9835 0.001 0.8 Sorting stuff out The first issue we see here is that the rules are not sorted. Often we will want the most relevant rules first. Lets say we wanted to have the most likely rules. We can easily sort by confidence by executing the following code. rules<-sort(rules, by=confidence, decreasing=TRUE) Now our top 5 output will be sorted by confidence and therefore the most relevant rules appear. lhs rhs support conf. lift 1 {rice,sugar} => {whole milk} 0.0012 1 3.9 2 {canned fish,hygiene articles} => {whole milk} 0.0011 1 3.9 3 {root vegetables,butter,rice} => {whole milk} 0.0010 1 3.9 4 {root vegetables,whipped/sour cream,flour} => {whole milk} 0.0017 1 3.9 5 {butter,soft cheese,domestic eggs} => {whole milk} 0.0010 1 3.9 Rule 4 is perhaps excessively long. Lets say you wanted more concise rules. That is also easy to do by adding a “maxlen” parameter to your apriori function: rules <- apriori(Groceries, parameter = list(supp = 0.001, conf = 0.8,maxlen=3)) Redundancies Sometimes, rules will repeat. Redundancy indicates that one item might be a given. As an analyst you can elect to drop the item from the dataset. Alternatively, you can remove redundant rules generated. We can eliminate these repeated rules using the follow snippet of code: subset.matrix <- is.subset(rules, rules) subset.matrix[lower.tri(subset.matrix, diag=T)] <- NA redundant <- colSums(subset.matrix, na.rm=T) >= 1 rules.pruned <- rules[!redundant] rules<-rules.pruned Targeting Items Now that we know how to generate rules, limit the output, lets say we wanted to target items to generate rules. There are two types of targets we might be interested in that are illustrated with an example of “whole milk”: · What are customers likely to buy before buying whole milk · What are customers likely to buy if they purchase whole milk? This essentially means we want to set either the Left Hand Side and Right Hand Side. This is not difficult to do with R! Answering the first question we adjust our apriori() function as follows: rules<-apriori(data=Groceries, parameter=list(supp=0.001,conf = 0.08), appearance = list(default=lhs,rhs=whole milk), control = list(verbose=F)) rules<-sort(rules, decreasing=TRUE,by=confidence) inspect(rules[1:5]) The output will look like this: lhs rhs supp. conf. lift 1 {rice,sugar} => {whole milk} 0.0012 1 3.9 2 {canned fish,hygiene articles} => {whole milk} 0.0011 1 3.9 3 {root vegetables,butter,rice} => {whole milk} 0.0010 1 3.9 4 {root vegetables,whipped/sour cream,flour} => {whole milk} 0.0017 1 3.9 5 {butter,soft cheese, domestic eggs} => {whole milk} 0.0010 1 3.9 Likewise, we can set the left hand side to be “whole milk” and find its antecedents. Note the following: · We set the confidence to 0.15 since we get no rules with 0.8 · We set a minimum length of 2 to avoid empty left hand side items rules<-apriori(data=Groceries, parameter=list(supp=0.001,conf = 0.15,minlen=2), appearance = list(default=rhs,lhs=whole milk), control = list(verbose=F)) rules<-sort(rules, decreasing=TRUE,by=confidence) inspect(rules[1:5]) Now our output looks like this: lhs rhs support confidence lift 1 {whole milk} => {other vegetables} 0.075 0.29 1.5 2 {whole milk} => {rolls/buns} 0.057 0.22 1.2 3 {whole milk} => {yogurt} 0.056 0.22 1.6 4 {whole milk} => {root vegetables} 0.049 0.19 1.8 5 {whole milk} => {tropical fruit} 0.042 0.17 1.6 6 {whole milk} => {soda} 0.040 0.16 0.9 Visualization The last step is visualization. Lets say you wanted to map out the rules in a graph. We can do that with another library called “arulesViz”. library(arulesViz) plot(rules,method=graph,interactive=TRUE,shading=NA) You will get a nice graph that you can move around to look like this: References · Snowplow Market Basket Analysis · Discovering Knowledge in Data: An Introduction to Data Mining · RDatamining.com Resources · Groceries Dataset citrus fruit semi-finished bread margarine ready soups tropical fruit yogurt coffee whole milk pip fruit yogurt cream cheese meat spreads other vegetables whole milk condensed milk long life bakery product whole milk butter yogurt rice abrasive cleaner rolls/buns other vegetables UHT-milk rolls/buns bottled beer liquor (appetizer) pot plants whole milk cereals tropical fruit other vegetables white bread bottled water chocolate citrus fruit tropical fruit whole milk butter curd yogurt flour bottled water dishes beef frankfurter rolls/buns soda chicken tropical fruit butter sugar fruit/vegetable juice newspapers fruit/vegetable juice packaged fruit/vegetables chocolate specialty bar other vegetables butter milk pastry whole milk tropical fruit cream cheese processed cheese detergent newspapers tropical fruit root vegetables other vegetables frozen dessert rolls/buns flour sweet spreads salty snack waffles candy bathroom cleaner bottled water canned beer yogurt sausage rolls/buns soda chocolate other vegetables brown bread soda fruit/vegetable juice canned beer newspapers shopping bags yogurt beverages bottled water specialty bar hamburger meat other vegetables rolls/buns spices bottled water hygiene articles napkins root vegetables other vegetables whole milk beverages sugar pork berries other vegetables whole milk whipped/sour cream artif. sweetener soda abrasive cleaner beef grapes detergent pastry soda fruit/vegetable juice canned beer root vegetables other vegetables whole milk dessert citrus fruit zwieback newspapers sausage rolls/buns soda canned beer specialty bar shopping bags tropical fruit root vegetables whole milk yogurt domestic eggs brown bread pastry sugar cereals coffee soda waffles candy berries yogurt canned beer butter milk yogurt cream cheese spread cheese rolls/buns bottled water soda newspapers coffee pastry bottled water rolls/buns misc. beverages root vegetables other vegetables butter curd whipped/sour cream UHT-milk hard cheese rolls/buns bottled water long life bakery product sausage rolls/buns cat food newspapers canned beer ham grapes other vegetables whole milk turkey tropical fruit other vegetables curd domestic eggs brown bread semi-finished bread margarine baking powder fruit/vegetable juice whole milk yogurt processed cheese pickled vegetables soda whole milk curd yogurt pastry packaged fruit/vegetables brown bread canned beer rolls/buns oil bottled water chewing gum chocolate marshmallow hygiene articles napkins ham beef whipped/sour cream ice cream rolls/buns cat food rolls/buns pastry sugar other vegetables whole milk frozen vegetables canned fish salty snack seasonal products detergent sausage pastry sausage beef whole milk frankfurter tropical fruit rolls/buns brown bread sugar rolls/buns pastry soda whole milk curd cheese coffee red/blush wine newspapers sausage whole milk curd tropical fruit pip fruit berries whole milk frozen potato products rolls/buns pickled vegetables chocolate red/blush wine whole milk butter margarine specialty fat specialty chocolate candles flower (seeds) frankfurter citrus fruit whole milk domestic eggs oil sparkling wine specialty chocolate newspapers whole milk meat spreads soda frozen potato products other vegetables whole milk rolls/buns sugar citrus fruit whole milk curd butter milk pastry flour salt bottled water fruit/vegetable juice bottled beer sugar bottled water soda bottled beer frozen meals coffee chocolate root vegetables whole milk frozen vegetables domestic eggs rolls/buns oil margarine canned vegetables fruit/vegetable juice bathroom cleaner root vegetables onions hard cheese frozen vegetables herbs condensed milk frozen vegetables salt oil white wine candles bottled water sausage root vegetables onions yogurt rolls/buns brandy detergent coffee newspapers pork other vegetables whipped/sour cream berries yogurt soda berries fruit/vegetable juice salty snack candles citrus fruit butter milk yogurt cream cheese pork hamburger meat citrus fruit berries onions whipped/sour cream rice coffee chocolate detergent grapes photo/film sausage sliced cheese rolls/buns brown bread fruit/vegetable juice canned beer red/blush wine waffles shopping bags chicken hamburger meat citrus fruit tropical fruit root vegetables other vegetables butter pasta oil detergent whole milk yogurt brown bread citrus fruit tropical fruit soda misc. beverages sausage pork grapes whole milk rolls/buns pastry soda specialty bar bathroom cleaner frankfurter rolls/buns bottled water sausage whole milk yogurt coffee fruit/vegetable juice bottled beer softener napkins photo/film shopping bags soda rolls/buns fruit/vegetable juice beef citrus fruit berries root vegetables brown bread detergent whole milk whipped/sour cream rolls/buns soda waffles candy cling film/bags processed cheese tropical fruit pip fruit frankfurter sausage root vegetables other vegetables rolls/buns oil pickled vegetables bottled beer chewing gum dishes packaged fruit/vegetables bottled water whole milk dessert frozen vegetables rolls/buns margarine bottled water red/blush wine newspapers berries whipped/sour cream citrus fruit berries UHT-milk processed cheese tropical fruit whole milk yogurt hamburger meat whole milk frozen vegetables rolls/buns bottled beer sparkling wine hamburger meat other vegetables whole milk frozen vegetables domestic eggs soda dishes whole milk cream cheese soda fish other vegetables pastry margarine coffee long life bakery product male cosmetics shopping bags frankfurter sausage long life bakery product waffles packaged fruit/vegetables dessert semi-finished bread canned beer pastry soda other vegetables red/blush wine misc. beverages frankfurter sausage citrus fruit tropical fruit pip fruit whole milk hard cheese cream cheese domestic eggs rice sugar canned fruit misc. beverages fruit/vegetable juice hygiene articles sparkling wine specialty bar sausage butter milk rolls/buns curd cheese frankfurter dessert whole milk yogurt beverages brown bread shopping bags newspapers berries soda curd flour liquor (appetizer) tropical fruit other vegetables coffee soda rolls/buns Instant food products canned beer canned beer frankfurter sausage whole milk rolls/buns margarine other vegetables misc. beverages canned beer whole milk frozen vegetables whole milk citrus fruit butter cream cheese white bread oil margarine newspapers frankfurter rolls/buns frankfurter ham pip fruit other vegetables whole milk soft cheese frozen vegetables rolls/buns sugar baking powder butter milk yogurt honey soda detergent hamburger meat citrus fruit onions rolls/buns bottled water dental care pasta popcorn other vegetables whole milk meat spreads cake bar chocolate shopping bags sausage pork citrus fruit dessert white bread dishes candles rolls/buns grapes other vegetables curd dessert yogurt napkins root vegetables other vegetables whole milk yogurt beverages soft cheese frozen vegetables fruit/vegetable juice bottled beer coffee shopping bags popcorn whole milk rolls/buns sugar bottled water soda tropical fruit other vegetables packaged fruit/vegetables whole milk snack products beef herbs flour cling film/bags flower soil/fertilizer whole milk butter dessert rolls/buns frankfurter soda chewing gum tropical fruit specialty cheese bottled water canned beer finished products other vegetables frozen vegetables bottled beer beverages soda hamburger meat root vegetables whole milk whole milk pastry long life bakery product finished products white wine shopping bags other vegetables ham tropical fruit other vegetables whole milk white bread brown bread fruit/vegetable juice bottled beer other vegetables curd butter milk cocoa drinks salty snack popcorn bottled beer curd dessert soda salty snack waffles cake bar chocolate shopping bags whole milk cream cheese cereals dog food whole milk salt dessert ice cream sausage soft cheese coffee other vegetables bottled water waffles dishes shopping bags ham whole milk rolls/buns other vegetables ice cream other vegetables bottled water soda bottled beer white wine prosecco herbs candy frankfurter ham tropical fruit pip fruit root vegetables other vegetables whole milk butter curd yogurt whipped/sour cream soft cheese sliced cheese cream cheese frozen meals frozen fish domestic eggs white bread sugar cereals fruit/vegetable juice bottled beer waffles rolls/buns canned beer curd cream cheese semi-finished bread zwieback cake bar specialty bar shopping bags frankfurter tropical fruit whole milk spread cheese margarine shopping bags other vegetables dog food specialty bar curd salt liquor (appetizer) detergent shopping bags frankfurter rolls/buns soda beef berries root vegetables whole milk dessert spread cheese brown bread canned beer pork beef pip fruit herbs spices frankfurter citrus fruit UHT-milk margarine sugar sausage bottled beer liquor (appetizer) canned beer specialty chocolate curd rolls/buns canned beer whole milk bottled water newspapers rolls/buns chewing gum pork root vegetables other vegetables whole milk dishes citrus fruit pastry pot plants rolls/buns pastry soda butter yogurt bottled water soda make up remover hygiene articles condensed milk sugar coffee shopping bags sausage other vegetables yogurt soda shopping bags whole milk beverages UHT-milk soda sausage pork beef whole milk rolls/buns margarine beverages beverages specialty bar bottled water fruit/vegetable juice newspapers cleaner female sanitary products sausage soda newspapers shopping bags newspapers sausage beef citrus fruit other vegetables whole milk butter milk whipped/sour cream beverages hard cheese rolls/buns dish cleaner cookware misc. beverages newspapers white wine sausage sliced cheese rolls/buns soda canned beer shopping bags meat curd bottled beer cake bar frankfurter meat tropical fruit onions oil baking powder tea cling film/bags ice cream rolls/buns canned beer canned beer tropical fruit berries root vegetables other vegetables bottled water shopping bags meat citrus fruit other vegetables curd dessert butter milk beverages cream cheese rolls/buns brown bread tea bottled water whole milk mustard bottled water sausage beef beverages sliced cheese rolls/buns spices house keeping products flower (seeds) frankfurter sausage root vegetables butter curd sliced cheese rolls/buns salty snack long life bakery product meat other vegetables butter rolls/buns root vegetables beverages Instant food products pickled vegetables detergent root vegetables herbs other vegetables whole milk sliced cheese rolls/buns whole milk whipped/sour cream semi-finished bread margarine citrus fruit whole milk curd dessert yogurt whipped/sour cream frozen dessert rolls/buns salt sugar cereals canned vegetables canned fish skin care hygiene articles napkins citrus fruit curd pastry margarine sugar candy newspapers other vegetables whole milk bottled water soda misc. beverages bottled beer red/blush wine napkins citrus fruit whole milk rolls/buns sausage oil hygiene articles napkins frankfurter beef hamburger meat grapes root vegetables whole milk butter frozen dessert potato products bottled water bottled beer hard cheese rolls/buns bottled water newspapers cream cheese rolls/buns soda chocolate turkey beef frozen vegetables dishes photo/film pork other vegetables whipped/sour cream rolls/buns soda shopping bags whole milk beverages rolls/buns soda sausage pip fruit whole milk curd yogurt sliced cheese rolls/buns bottled water hygiene articles ice cream liquor pip fruit other vegetables fruit/vegetable juice root vegetables other vegetables yogurt soda soda sausage citrus fruit tropical fruit other vegetables whole milk yogurt rolls/buns bottled water soda chocolate newspapers root vegetables whole milk pet care detergent pork berries root vegetables other vegetables pastry specialty bar pork chocolate fruit/vegetable juice pickled vegetables coffee bottled water frankfurter sausage butter whipped/sour cream rolls/buns margarine spices tropical fruit pip fruit onions other vegetables whole milk domestic eggs sugar soups tea soda hygiene articles napkins canned beer root vegetables meat citrus fruit berries root vegetables whole milk soda frankfurter rolls/buns bottled water fruit/vegetable juice hygiene articles tropical fruit margarine rum tropical fruit root vegetables herbs whole milk butter milk whipped/sour cream flour hygiene articles citrus fruit pip fruit root vegetables other vegetables whole milk cream cheese domestic eggs brown bread margarine baking powder waffles hamburger meat other vegetables whole milk curd yogurt rolls/buns pastry semi-finished bread margarine bottled water fruit/vegetable juice chicken pip fruit other vegetables whole milk dessert yogurt whipped/sour cream rolls/buns pasta soda waffles chicken citrus fruit tropical fruit root vegetables whole milk frozen fish rolls/buns frankfurter citrus fruit onions other vegetables whole milk rolls/buns sugar soda canned beer turkey pip fruit salad dressing pastry packaged fruit/vegetables whole milk curd yogurt domestic eggs brown bread mustard pickled vegetables bottled water misc. beverages pasta citrus fruit tropical fruit sausage whole milk yogurt rolls/buns brown bread pot plants whole milk frozen meals pastry fruit/vegetable juice waffles canned beer citrus fruit sugar sauces liquor (appetizer) citrus fruit other vegetables rolls/buns salty snack shopping bags sausage chicken other vegetables whole milk vinegar oil bottled water canned beer napkins newspapers hamburger meat root vegetables other vegetables whole milk yogurt whipped/sour cream specialty cheese flour margarine sausage pork other vegetables dessert yogurt oil soda beef berries root vegetables whole milk whipped/sour cream abrasive cleaner citrus fruit packaged fruit/vegetables yogurt bottled water UHT-milk coffee candy newspapers beef citrus fruit other vegetables yogurt sausage rolls/buns frankfurter beef root vegetables curd dessert yogurt soft cheese rolls/buns mustard pickled vegetables canned beer hygiene articles napkins canned beer bottled beer onions soda chewing gum chocolate newspapers tropical fruit packaged fruit/vegetables cream cheese white bread candy bottled water white wine beef white bread pastry pasta soap sausage chicken tropical fruit root vegetables whole milk yogurt candy abrasive cleaner cleaner hair spray chicken whole milk spices long life bakery product shopping bags pork citrus fruit brown bread pastry sugar cat food ice cream meat hard cheese bottled beer other vegetables yogurt brown bread instant coffee bottled water cake bar tropical fruit soda salty snack photo/film sausage citrus fruit yogurt coffee soda canned beer dishes grapes root vegetables domestic eggs brown bread photo/film rolls/buns canned fish canned beer tropical fruit whole milk chicken frankfurter other vegetables yogurt brown bread bottled water berries root vegetables other vegetables curd butter milk cream cheese roll products margarine misc. beverages specialty chocolate detergent margarine hygiene articles tropical fruit yogurt rolls/buns soda shopping bags ham other vegetables whipped/sour cream hard cheese rolls/buns soda misc. beverages chocolate candy hamburger meat white bread salty snack yogurt mayonnaise rolls/buns soda napkins soda specialty chocolate yogurt soda bottled water sausage meat hamburger meat rubbing alcohol citrus fruit pip fruit beverages hard cheese pet care soda fruit/vegetable juice waffles shopping bags newspapers frankfurter other vegetables whole milk curd frozen potato products zwieback specialty bar dish cleaner sausage citrus fruit whole milk canned beer frankfurter rolls/buns salt salty snack cookware oil curd beverages cream cheese rolls/buns pastry soda cake bar chewing gum other vegetables butter specialty chocolate citrus fruit frankfurter whole milk butter milk root vegetables whole milk butter processed cheese mayonnaise salty snack tropical fruit whole milk frozen meals bottled beer beef hamburger meat pip fruit berries whipped/sour cream cereals waffles shopping bags canned beer whipped/sour cream canned beer red/blush wine root vegetables domestic eggs margarine chocolate marshmallow candy whole milk soda beef frozen vegetables rolls/buns bottled beer whole milk hygiene articles whole milk citrus fruit whole milk curd soft cheese pastry fruit/vegetable juice frankfurter sausage pork pip fruit butter processed cheese white bread brown bread tropical fruit root vegetables whole milk whipped/sour cream domestic eggs frankfurter sausage root vegetables yogurt whipped/sour cream pastry napkins berries root vegetables other vegetables packaged fruit/vegetables whole milk curd curd cheese cat food specialty bar detergent rolls/buns brown bread pastry coffee bottled beer root vegetables packaged fruit/vegetables curd dessert frozen vegetables specialty fat coffee yogurt other vegetables bottled water berries white bread berries coffee other vegetables butter milk frozen meals bottled water rolls/buns newspapers ham citrus fruit whole milk whipped/sour cream rolls/buns pastry waffles hygiene articles whole milk frozen dessert salty snack napkins tropical fruit butter milk rolls/buns bottled water bottled water butter milk yogurt newspapers coffee bottled beer liquor onions butter whipped/sour cream hard cheese frozen vegetables pasta specialty fat syrup candy napkins cling film/bags hamburger meat hard cheese frozen meals pasta dog food salty snack shopping bags sausage liver loaf other vegetables cream cheese pastry soap shopping bags hard cheese pastry napkins sausage tropical fruit condensed milk rolls/buns hamburger meat onions whole milk beverages frozen dessert coffee shopping bags yogurt rolls/buns pastry bottled water soda shopping bags soda sliced cheese sausage whole milk coffee yogurt chocolate domestic eggs rolls/buns dish cleaner hygiene articles whole milk meat other vegetables whole milk whipped/sour cream dish …