Hi, who can help me to with this project? Let me know the timing!

Project Overview: You're a business analyst for Round Roasters, a coffee restaurant in the United States of America. The executive team conducted a market test with a new menu and needs to figure whether the new menu can drive enough sales to offset the cost of marketing the new menu. Your job is to analyze the A/B test and write up a recommendation to whether the Round Roasters chain should launch this new menu. How Do I Complete this Project? This project uses skills learned throughout the "A/B Testing \" course. To complete this project: Skills Required In order to complete this project, you must be able to: Cleanup, format, and blend a wide range of data sources Plan and analyze A/B tests Project Details: The Business Problem Round Roasters is an upscale coffee chain with locations in the western United States of America. The past few years have resulted in stagnant growth at the coffee chain, and a new management team was put in place to reignite growth at their stores. The first major growth initiative is to introduce gourmet sandwiches to the menu, along with limited wine offerings. The new management team believes that a television advertising campaign is crucial to drive people into the stores with these new offerings. However, the television campaign will require a significant boost in the company's marketing budget, with an unknown return on investment (ROI). Additionally, there is concern that current customers will not buy into the new menu offerings. To minimize risk, the management team decides to test the changes in two cities with new television advertising. Denver and Chicago cities were chosen to participate in this test because the stores in these two cities (or markets) perform similarly to all stores across the entire chain of stores; performance in these two markets would be a good proxy to predict how well the updated menu performs. The test ran for a period of 12 weeks (2016April29 to 2016July21) where five stores in each of the test markets offered the updated menu along with television advertising. The comparative period is the test period, but for last year (2015April29 to 2015 July21). You've been asked to analyze the results of the experiment to determine whether the menu changes should be applied to all stores. The predicted impact to profitability should be enough to justify the increased marketing budget: at least 18% increase in profit growth compared to the comparative period while compared to the control stores; otherwise known as incremental lift. In the data, profit is represented in the gross_margin variable. You have been able to gather three data files to use for your analysis: Transaction data for all stores from 2015-January-21 to 2016August-18 A listing of all Round Roasters stores A listing of the 10 stores (5 in each market) that were used as test markets. Steps to Success Step 1: Plan Your Analysis To perform the correct analysis, you will need to prepare a data set. Prior to rolling up your sleeves and preparing the data, it's a good idea to have a plan of what you need to do in order to prepare the correct data set. A good plan will help you with your analysis. Here are a few questions to get you started: What is the performance metric you'll use to evaluate the results of your test? What is the test period? At what level (day, week, month, etc.) should the data be aggregated? Step 2: Clean Up Your Data In this step, you should prepare the data for steps 3 and 4. You should aggregate the transaction data to the appropriate level and filter on the appropriate data ranges. You can assume that there is no missing, incomplete, duplicate, or dirty data. You're ready to move on to the next step when you have weekly transaction data for all stores. Step 3: Match Treatment and Control Units In this step, you should create the trend and seasonality variables, and use them along with you other control variable(s) to match two control units to each treatment unit. Treatment stores should be matched to control stores in the same region. Note: Calculate the number of transactions per store per week and use 12 periods to calculate trend and seasonality. Apart from trend and seasonality... What control variables should be considered? Note: Only consider variables in the RoundRoastersStore file. What is the correlation between your each potential control variable and your performance metric? What control variables will you use to match treatment and control stores? Step 4: Analysis and Writeup Conduct your A/B analysis and create a short report outlining your results and recommendations. A/B Test Guide The A/B test guide can help you map out the process you'll need to go through to complete an A/B test. This will be useful for the project, as well as any A/B tests you do in a professional setting. Data round-roaster-stores.csv This file contains store information for each Round Roaster store in the USA. treatment-stores.csv This file contains store information for each store that offered the new menu items. round-roaster-transactions.zip This file contains transaction level information for all of Round Roaster's stores Tips Aggregate and Export We recommend you save your aggregated transaction database as a separate file to further reduce your development time. You shouldn't need to re-aggregate the transaction database every time you want to test out a new workflow. Creating a week variable When calculating the week column, assign week 1 to the first week of the test period, so the week_begin variable for week 1 would be your test start date. This will cause weeks prior to the test period to be negative, which is perfectly fine. See here for an example of how to calculate the week variable using a formula tool in Alteryx. Using the Trend tool The trend tool is used to create trend and seasonality variables to use as control variables. To do this, you need at least 52 weeks of data, plus the number of weeks you select in the tool to calculate trend, before the beginning of the test start date. In lesson 4, you used 6 weeks to calculate the trend, so you needed 58 weeks prior to the test start date. For the project, you are asked to use 12 weeks to calculate trend, so you'll need 64 weeks of data prior to the test start date. Since the test lasts for 12 weeks, this means you'll need a total 76 weeks of data. Gross Margin Sales, not Total Sales Make sure to use gross margin sales in all lift calculations and not total sales. Project: Analyzing a Market Test Step 1: Plan Your Analysis To perform the correct analysis, you will need to prepare a data set. (250 word limit) Answer the following questions to help you plan out your analysis: 1. What is the performance metric you'll use to evaluate the results of your test? 2. What is the test period? 3. At what level (day, week, month, etc.) should the data be aggregated? Step 2: Clean Up Your Data In this step, you should prepare the data for steps 3 and 4. You should aggregate the transaction data to the appropriate level and filter on the appropriate data ranges. You can assume that there is no missing, incomplete, duplicate, or dirty data. You're ready to move on to the next step when you have weekly transaction data for all stores. Step 3: Match Treatment and Control Units In this step, you should create the trend and seasonality variables, and use them along with you other control variable(s) to match two control units to each treatment unit. Note: Calculate the number of transactions per store per week to calculate trend and seasonality. Apart from trend and seasonality... 1. What control variables should be considered? Note: Only consider variables in the RoundRoastersStore file. 2. What is the correlation between your each potential control variable and your performance metric? 3. What control variables will you use to match treatment and control stores? 4. Please fill out the table below with your treatment and control stores pairs: Treatment Store Control Store 1 Control Store 2 Step 4: Analysis and Writeup Conduct your A/B analysis and create a short report outlining your results and recommendations. (250 words limit) Answer these questions. Be sure to include visualizations from your analysis: 1. What is your recommendation - Should the company roll out the updated menu to all stores? 2. What is the lift from the new menu for West and Central regions (include statistical significance)? 3. What is the lift from the new menu overall? Steps to Completing an A/B Test Whether you're launching a new product, changing a website design, or testing a new price, an AB test can help you make a decision with confidence when you don't have a lot of data. Below is a useful, high level guide to designing and running an AB test. Select performance metric It's important to understand the metric used to evaluate the results of the test. Whether the goal is to increase sales, profit, conversion rate, etc., this should be specified at the upfront. Select experimental design Matched pair - when the sample size is small and/or the data is difficult to collect, a matched pair experiment should be used. Randomized design - when the sample size is large and the data is easy to collect, then a randomized experiment should be used. Randomized experiments are very common for web-based AB tests. Select experimental and control variables Select the treatment and control units Each individual in the test is considered a unit. The unit can be a person, store, etc. In a test, units are split into two groups, the treatment group and control group. Treatment and control units are compared against each other Determine sample size and test duration These contribute most directly to statistical significance. You can improve statistical significance by either increasing the sample size or test duration. Duration: Generally the duration of a test should be at least as long enough to capture a representative group. If users generally visit a store or website once a week, then the test duration should be a week. Experimental variable - The experimental, or treatment, variable, is the variable that is different between treatment and control units. Control Variables - The control variables are the variables that should remain constant between test and control groups. These ensure that the treatment and control groups are representative of each other and that the results will apply to the population. Clean and prepare data Clean and filter the data appropriately. This could mean filtering for the dates of the test, ensuring there are no duplicate records, removing records with incomplete data, etc. Remove outliers. Make sure that any approach to remove outliers is unbiased. Calculate lift Determine statistical significance Compare the average performance between the two groups Performing a t-test gives a p-value. If the p-value is below 0.05, the results are considered statistically significant. It can also be useful to understand the distribution of the performance of the units Use a paired t-test for matched pair experiments. Estimate impact of broad implementation In order to provide an expected impact of broad implementation of the treatment, apply the lift calculation to the entire population. Use an unpaired t-test for randomized experiments. qattachments_796792eee44e0ecf521fde80964ea909164703d8 StoreID Sq_Ft AvgMonthSales Right_Name Phone Number 10018 1183 18000 Bellflower & Spring 562-420-1317 10068 1198 16000 Foothill & Boston, La Crescenta 818-541-7693 10118 1204 13000 Magic Mountain & Tourney 661-260-0844 10168 1195 19000 Alameda & Shelton (818) 557-6604 10218 1193 15000 Victoria Gardens 909-646-8562 10268 1191 25000 Azusa & Amar, West Covina 626-964-5145 10318 1147 16000 Chase & Avocado, El Cajon 619-444-5107 10368 1159 19000 Albertsons -- San Marcos #6708 (760) 736-8880 10418 1146 19000 Fashion Valley Mall -Lvl 2 Food Crt 619-299-2593 10468 1151 21000 Mira Mesa Mall (858) 586-6361 10518 1147 11000 Imperial & Main, El Centro (760) 352-3502 10568 1192 21000 Vons - Redlands #1734 909-793-0447 10618 1187 15000 Moreno Beach & Hwy 60 951-485-6878 11268 1328 12000 Safeway - Concord #1192 825-365-2710 11318 1319 24000 Grove & Center 510-886-9010 11368 1319 22000 Marina & I-880 (510) 357-6101 11418 1323 15000 Oakland City Center (510) 832-1767 11468 1325 19000 Donahue & Hwy 101 415-289-0743 11518 1306 35000 Homestead & Lawrence - Santa Clara408 2441421 11568 1305 21000 Lincoln & Minnesota Willow Glen (408) 298-5272 11618 1307 16000 Bellevue & Shaffer - Atwater 209-357-2166 11668 1345 10000 Fulton & Guerneville 707-544-4256 11718 1353 21000 Birdcage Walk - Citrus Heights (916) 728-1587 11768 1350 16000 International & Zinfandel - RC 916-852-1893 11818 1353 15000 Target Woodland T-2408 (530) 665-4148 11868 1352 12000 American River College 916-484-8328 12019 1588 11000 Safeway-Lake Grove #1047 503-675-2500 12069 1593 8000 Orenco Station 5036400740 12119 1594 19000 Piedmont (503) 283-0671 12169 1593 10000 Safeway - Portland #1612 503-528-0500 12219 1541 12000 13th & Alder 5413384100 12269 1586 16000 Safeway-La Grande #1827 541-663-2700 12286 1666 11000 3 Bellevue Cntr (425) 646-9602 12486 1663 22000 Westwood Village 206-937-1732 12536 1669 12000 Target Northgate T-1284 206-494-0897 12586 1678 10000 Safeway-Everett #1484 425-258-3552 12686 1654 13000 N. 30th & McCarver/Old Town (253) 573-1901 12736 1644 18000 Safeway - Aberdeen #1546 360-533-1955 12786 1659 16000 Valley Mall Pkwy & 5th St NE 509-886-4778 12836 1667 16000 Sprague & Pine 509-926-8497 1508 1457 12000 3219 8th Street SW - Altoona 5159670631 1542 1506 12000 Target Brookfield T-2780. 262-395-1625 1580 1568 14000 Target Cottage Grove T-662 651-458-8179 1630 1582 17000 Round Lake Blvd and Northdale 6127902009 1662 1471 11000 Arlington Heights & Golf Road 8476402779 1664 1475 11000 Barrington 8478428048 1675 1472 15000 Northwest Hwy & Elmhurst Rd 8472531188 1696 1471 10000 Higgins & Meacham 2242232528 1700 1465 15000 Roosevelt & Summit (224) 500-9575 1712 1456 19000 159th & LaGrange 708-403-1461 1762 1469 8000 ORD OHare Terminal 1, Baggage Cla773-686-6181 1807 1353 14000 Target Chesterfield T-1353 636-536-6207 Page 1 qattachments_796792eee44e0ecf521fde80964ea909164703d8 1857 1863 1964 2014 2114 2214 2264 2283 2288 2293 2301 2322 2333 2341 2383 2409 2468 2518 2568 2572 2652 2702 2752 2802 2852 2902 2952 3002 3052 3102 3152 3185 3235 3302 3352 6992 7037 7087 7162 7212 7284 7334 7384 7434 7484 7534 7584 7634 7720 7770 7811 8112 8162 1296 1363 1158 1152 1049 1033 1231 1393 1387 1394 1387 1390 1395 1400 1366 1501 1169 1168 1220 1230 1189 1190 1198 1142 1154 1170 1246 1322 1323 1330 1370 1583 1541 1669 1646 1455 1503 1507 1584 1580 1470 1473 1466 1455 1463 1465 1463 1479 1355 1354 1363 1155 1149 15000 Ramey-Price Cutter-Nixa #55 417-725-6166 11000 Dillons Store-Lawrence #98 785-842-2942 11000 Angel & Lucas 2145515427 16000 Teavana - Dallas Galleria 972-788-9340 20000 1960 & Champion Forest 2818930556 15000 1604 & Braun 2106889553 8000 Target Amarillo - T-221 806-358-4030 18000 64th & Ward 14000 S. 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Sprague Ave 3219 8th St. SW 12725 W Bluemound Rd 8655 E Point Douglas Rd S 13131 Riverdale Dr NW 1808 South Arlington Heights Road 101 W. Main St., Barrington Village Center 90 East Northwest Highway 1261 East Higgins Road 17 W 633 Roosevelt Road 15858 South LaGrange Road Circular Building #6 40 THF Blvd Page 4 qattachments_796792eee44e0ecf521fde80964ea909164703d8 400 Massey Road 1740 S Massachusetts St 2680 Lucas Road 13350 DALLAS PKWY, STE 2615, Dallas Galleria 5602 FM 1960 Rd W 9950 West Loop 1604 North 8201 I-40 W 12395 West 64th Avenue 13702 E Quincy Ave 9983 Wadsworth Pkwy 3500 A River Point Parkway 1331 N Speer Blvd 200 W. 104th Ave. 1352 College Avenue, 115 1070 W Baptist Rd 883 Yellowstone Avenue 9830 W Lower Buckeye 5000 Arizona Mills Circle, Suite #391 2300 SR-89A 7600 Jefferson NE Street, Suite #1 5857 S. Central Ave. 1705 Ocean Ave., Unit C 9020 N. Reseda, Unit A 3047 Bonita Road, 108 11885 Carmel Mountain, Ste #909 101 West Avenida Vista Hermosa, Suite 632, Plaza San Clemente 5610 Lake Isabella Blvd 564 Market Street 3 15 1/2 20th St 3011 West Benjamin Holt 904 E Street, D 1075 SW 1st Ave, Suite A 3110 W. 11th Avenue 401 NE Northgate Way 550 Capital Way South, Space C 1013 Locust Street, SWC of 1st floor, The Temple for Performing Arts 5300 S. 76th Street, Space K060, Southridge Mall 661 State Street 15800 87th St NE 1500 109th Ave NE 102 Biesterfield Rd 1036 Willow Rd. 2517 W. North Ave. 16527 W. 159th St. 28201 Diehl Rd 1101 W Jackson Blvd 4433 S Pulaski 6239 E. 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Main St. 90 East Northwest Highway 1261 East Higgins Road 17 W 633 Roosevelt Road 15858 South LaGrange Road Circular Building #6 40 THF Blvd Street 2 #A-1 A Street 3 The Los Altos Marketplace Tourney Retail Plaza Suite G-2 Space 3340 855A Suite H Victoria Gardens Fashion Valley Mall - San Diego Valley Plaza Suite 1209 #58 A Marin Gateway Retail Center Homestead Shopping Center Five Corner Crossings 501 Raley's Fulton Marketplace 1 Capital Village Orenco Station Town Center (previously Guidos Bar) Westwood Village Ste. 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Main St., Barrington Village Center 1675 1472 15000 8472531188 90 East Northwest Highway 1696 1471 10000 2242232528 1261 East Higgins Road 1700 1465 15000 (224) 500-9575 17 W 633 Roosevelt Road 1712 1456 19000 708-403-1461 15858 South LaGrange Road 2288 1387 14000 3036806304 13702 E Quincy Ave 2293 1394 11000 303-424-0670 9983 Wadsworth Pkwy 2301 1387 11000 3037611675 3500 A River Point Parkway 2322 1390 14000 1331 N Speer Blvd 2341 1400 11000 3034430309 1352 College Avenue, 115 Page 1 qattachments_33d96525b6b98e4a4c430975261522cda042e9ff Street 1 Street 2 Street 3 101 W. Main St. Barrington Village Center 90 East Northwest Highway 1261 East Higgins Road 17 W 633 Roosevelt Road 15858 South LaGrange Road 13702 E Quincy Ave 9983 Wadsworth Pkwy 3500 A River Point Parkway 1331 N Speer Blvd 1352 College Avenue 115 Page 2 City Postal Code Barrington 60010 Mount Prospect 60056 Schaumburg 60173 Oakbrook Terrace 60181 Orland Park 60462 Aurora 80015 Westminster 80021 Denver 80110 Denver 80204 Boulder 80302 qattachments_33d96525b6b98e4a4c430975261522cda042e9ff Region Central Central Central Central Central West West West West West Country US US US US US US US US US US Coordinates Latitude Longitude (42.1540565490723, -88.1362915039063) 42.15405655 -88.1362915 (42.0633544921875, -87.9355773925781) 42.06335449 -87.93557739 (42.039363861084, -88.048828125) 42.03936386 -88.04882813 (41.8600807189941, -87.9739685058594) 41.86008072 -87.97396851 (41.603816986084, -87.8534317016602) 41.60381699 -87.8534317 (39.6378707885742, -104.828552246094) 39.63787079 -104.8285522 (39.8431854248047, -105.08194732666) 39.84318542 -105.0819473 (39.6528053283691, -105.012954711914) 39.65280533 -105.0129547 (39.7375144958496, -104.997352600098) 39.7375145 -104.9973526 (40.007194519043, -105.275108337402) 40.00719452 -105.2751083 Page 3 qattachments_33d96525b6b98e4a4c430975261522cda042e9ff Timezone Current Timezone Offset Olson Timezone Central Standard Time -360 GMT-06:00 America/Chicago Central Standard Time -360 GMT-06:00 America/Chicago Central Standard Time -360 GMT-06:00 America/Chicago Central Standard Time -360 GMT-06:00 America/Chicago Central Standard Time -360 GMT-06:00 America/Chicago Mountain Standard Time -420 GMT-07:00 America/Denver Mountain Standard Time -420 GMT-07:00 America/Denver Mountain Standard Time -420 GMT-07:00 America/Denver Mountain Standard Time -420 GMT-07:00 America/Denver Mountain Standard Time -420 GMT-07:00 America/Denver Page 4 qattachments_33d96525b6b98e4a4c430975261522cda042e9ff Name Right_State Barrington IL Northwest Hwy & Elmhurst Rd IL Higgins & Meacham IL Roosevelt & Summit IL 159th & LaGrange IL S. Parker Rd & E. Quincy Ave CO King Sooper Arvada # 55 CO Hampden & Santa Fe, Sheridan CO King Soopers - Denver #1 CO 1352 College Ave - Boulder CO Page 5 Project: Analyzing a Market Test Step 1: Plan Your Analysis To perform the correct analysis, you will need to prepare a data set. (250 word limit) Answer the following questions to help you plan out your analysis: 1. What is the performance metric you'll use to evaluate the results of your test? 2. What is the test period? 3. At what level (day, week, month, etc.) should the data be aggregated? Step 2: Clean Up Your Data In this step, you should prepare the data for steps 3 and 4. You should aggregate the transaction data to the appropriate level and filter on the appropriate data ranges. You can assume that there is no missing, incomplete, duplicate, or dirty data. You're ready to move on to the next step when you have weekly transaction data for all stores. Step 3: Match Treatment and Control Units In this step, you should create the trend and seasonality variables, and use them along with you other control variable(s) to match two control units to each treatment unit. Note: Calculate the number of transactions per store per week to calculate trend and seasonality. Apart from trend and seasonality... 1. What control variables should be considered? Note: Only consider variables in the RoundRoastersStore file. 2. What is the correlation between your each potential control variable and your performance metric? 3. What control variables will you use to match treatment and control stores? 4. Please fill out the table below with your treatment and control stores pairs: Treatment Store Control Store 1 Control Store 2 Step 4: Analysis and Writeup Conduct your A/B analysis and create a short report outlining your results and recommendations. (250 words limit) Answer these questions. Be sure to include visualizations from your analysis: 1. What is your recommendation - Should the company roll out the updated menu to all stores? 2. What is the lift from the new menu for West and Central regions (include statistical significance)? 3. What is the lift from the new menu overall