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Question.5661 - Create a report that presents the recommendations for business expansion by creating and analyzing maps using your data set. Include Specifically, you must address the following rubric criteria: • Create Maps • Determine the variables you are going to use. • Determine whether they are in the correct format for creating a map.Graph the count of customers by U.S. state and the sum of the order_total variable. · Identify the states with the most and least customers. · Identify the states that have generated the most and least revenue for the restaurants. Add Data Layers to Maps . Compare the revenue generated in each state to the state's median household income using the Map Layers option. . Determine whether this would provide an indication of how successful a product expansion would be in those areas. . Analyze the results when you use Household Income and State to create a map. • Analyze the results when you select Zip Code instead of State in the "By" option. · Identify the zip codes with the highest revenue for this group of restaurants and determine if they are in high-income Analyze the high-income zip codes and determine if the restaurants are well-represented or largely absent.Recommendations • Elaborate on the opportunities for sales and marketing. · Determine if there are high-income zip codes that aren't well-represented by the restaurants but would be lucrative tc • Analyze the impact of having data with the names and zip codes of the restaurants' suppliers on opportunities for sales and • Identify other data layers that you consider important to map out and investigate. Explain.

Answer Below:

IntroductionThe xxxxxxxxx of xxx analysis xx to xxxxxxxx potential xxxxxxxxxxxxx for xxxxxxxx expansion xxx an xxxxxxxxxxxx that xxxxxxxxxxx pizza xxxxxxxxxxx dough xxxxxx and xxxxxxxx to xxxxxxxxxxx across xxx United xxxxxx I xxxxxxx tableau xxxx using x clean xxxxxxxx sales xxxxxxx for xxxxxxxx with xxxxxxxxx income xxxx by xxxxxxxxxx location xx analyze xxxxxxxx distribution xxxxxxx generation xxx demographic xxxxxxxxx Batt xxxxxxx Harmon xxxxxxxxx Creating xxx analyzing xxxx at xxxx the xxxxx and xxx code xxxxxx the xxxxxx identifies xxxxx with xxxxxx revenue xxxxxxxxxxx evaluates xxx household xxxxxx relates xx restaurant xxxxx and xxxxxxxxxx underserved xxxxxxxxxxx markets xxxx present xxxxxxxxxxxxx for xxxxxxxxx I xxxx Restaurant xxxxx Restaurant xxx Code xxxxx Total xxxxxxxx Customer xx and xxxxxx Household xxxxxx variables xx create xxxx Firstly x created xxx to xxxx out xxx number xx customers xx each xxxxx in x S xxxx the xxx New xxxx has xxx highest xxxxxx of xxxxxxxxx with xxxxxxxx by xxxxxxxxxx with xxx map xxxxxxxxx that xxxxxx AK xxx Wyoming xx have xxx lowest xxxxxx of xxxxxxxxx with xxxx Count xx Customers xx U x StateRevenue xx US xxxxx shows xxx total xxxxxxx generated xx restaurants xx each x S xxxxx States xxxx as xxx York xxxxxxxxxx New xxxxxx generate xxx highest xxxxx revenue xxxxxx generates xxx least xxxxxxx among xxx states xxxx aligns xxxx the xxxxxxx customer xxxxx analysis xxxxx both xxxxxx also xxx the xxxxxx customers xxxxxxx by xxxxx Sum xx Order xxxxx ANext x did xxx comparision xx Revenue xxx Median xxxxxxxxx Income xx State xxx map xxxxx that xxxxxx with xxxxxx median xxxxxxxxx incomes xxxxxxxxx tend xx generate xxxxxxxxxxxxxxxx revenue xxx instance xxxxxx such xx New xxxx and xxxxxxxxxx display xxxx higher xxxxxx levels xxx stronger xxxxxxx performance xxxxxxxxxx that xxxxxxxxxxx in xxxxxxxxxxxxxx may xxxxx larger xx more xxxxxxxx ingredient xxxxxx supporting xxx idea xxxx income xx an xxxxxxxxx driver xx sales xxxxxxx the xxxxxxxxxxxx is xxx perfectly xxxxxxxxxx across xxx states xxxx states xxxx moderate xxxxxxxxx income xxxxx generate xxxxxxxxxx strong xxxxxxx while xxxxxxx higher-income xxxxxx show xxxx average xxxxxxx performance xxxxxxxxxx revenue xxxx median xxxxxxxxx income xxxx provide x useful xxxxxxxxxx of xxxxxxxxx product xxxxxxxxx success xxxxxx that xxxxxxx above-average xxxxxxxxx incomewith xxxxxxxx or xxx current xxxxxxx represent xxxxxx expansion xxxxxxxxxxxxx These xxxxx likely xxxx the xxxxxxxxxx power xx support xxxxxxxxx sales xxx may xxxxxxxxx be xxxxxxxxxxx by xxx organization xxxxx revenue xxx with xxxxxx overlayWhen xxx geographic xxxxx is xxxxxxx from xxxxx to xxx Code xxx analysis xxxxxxx that xxx code xxxxxxxxx the xxxxxxx total xxxxx value xxxx a xxx of xxxxx Total xxxxx to xx indicates xxxx restaurants xxxxxxx in xxxx zip xxxx are xxxxx the xxxxxxxxxxxxxxxxxxx in xxxxx of xxxxxxxxxx purchasing xxx zip-code-level xxxxxxxx reveals xxxx ZIP xxxx has xxx lowest xxxxx order xxxxx with x SUM xx Order xxxxx equal xx This xxxxxxxxx extremely xxxxxxx purchasing xxxxxxxx fromrestaurants xx this xxxx during xxx period xxxxxxxx Zip-code-level xxxxxxx mapThe xxxxxxxx indicates xxxxxxx areas xxxxx business xxxxxxxxx and xxxxxxxx marketing xxxxx yield xxxxxx results xxxxxxxxxxxx states xxxx as xxx York xxxxxxxxxx and xxx Jersey xxxxxxx demonstrate xxxxxxxxxxx customer xxxxxxx and xxxxxxxxxx purchases xxxxxxxxxx that xxxxx regions xxx mature xxxxxxx However xxxxx states xxxx moderate xxxxxxx but xxxx household xxxxxx represent xxxxxxxxxxx markets xxxxx restaurants xxxxxx have xxx purchasing xxxxx to xxxxx larger xx more xxxxxxxx orders xxxxxxxxx Mortimer xxxxxxxxx campaigns xx these xxxxx could xxxxxxxxx the xxxxxxx and xxxxxxx of xxxxxxxxxxx introduce xxxxxxxxxxx bundles xx provide xxxxxxxxxxxx discounts xx encourage xxx and xxxxxx orders xxxx zip xxxxx like xxxxxxx well xxx others xxxx low xxxxxxxxxx presence xxxxxxxxx into xxxxx areas xxx capture xxxxxxxx revenue xxxxxxxxx Also xxxxxxx supplier xxxxx and xxxxxxxxx helps xxxxxxxx delivery xxxxxx reduce xxxxx and xxxxxxxx opportunities xxx partnerships xx market xxxxxxxxxxx in xxxxxxxxxxxxxx regions xxxxxxx Nandeshwar xxxxxx Floyd xxxxxxx population xxxxxxx restaurant xxxx competitor xxxxxxxx and xxxxxxxx logistics xxxxx refine xxxxxxxxx strategies xxx improve xxxxxxxxx of xxx customers xxxxxxxxxxxxxx S xxxxxxx T xxxxxx O xxxxxxxxx P xxxxxxxx Tableau x data xxxxxxxxxxxxx tool xxx Journal xx economic xxxxxxxxx - x Hoelscher x Mortimer x Using xxxxxxx to xxxxxxxxx data xxx drive xxxxxxxxx making xxxxxxx of xxxxxxxxxx Education x Stirrup x Nandeshwar x Ohmann x Floyd x Tableau xxxxxxxx Interactive xxxx Visualizations xxxxx Publishing xxx

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