var pdxAirport = {
    minCustomers : 23,
    maxCustomers : 65,
    avgCookiesPerCust : 6.3,
}

var pioneerSquare = {
    minCustomers : 3,
    maxCustomers : 24,
    avgCookiesPerCust : 1.2,
}

var Powells = {
    minCustomers : 11,
    maxCustomers : 38,
    avgCookiesPerCust : 3.7,
}

var stJohns = {
    minCustomers : 20,
    maxCustomers : 38,
    avgCookiesPerCust : 2.3,
}

var waterfront = {
    minCustomers : 2,
    maxCustomers : 16,
    avgCookiesPerCust : 4.6,
}


// First, create a separate JS object literal (no constructor functions... yet) for each shop location that does the following:

// Stores the min/max hourly customers, and the average cookies per customer, in object properties

// Uses a method of that object to generate a random number of customers per hour. Objects/Math/random

// Calculate and store the simulated amounts of cookies purchased for each hour at each location using average cookies purchased and the random number of customers generated

// Store the results for each location in a separate array... perhaps as a property of the object representing that location

// Display the values of each array as unordered lists in the browser

// Calculating the sum of these hourly totals; your output for each location should look like this:

// 1st and Pike

// 6am: 16 cookies
// 7am: 20 cookies
// 8am: 35 cookies
// 9am: 48 cookies
// 10am: 56 cookies
// 11am: 77 cookies
// 12pm: 93 cookies
// 1pm: 144 cookies
// 2pm: 119 cookies
// 3pm: 84 cookies
// 4pm: 61 cookies
// 5pm: 23 cookies
// 6pm: 42 cookies
// 7pm: 57 cookies
// 8pm: 29 cookies
// Total: 657 cookies
// Display the lists on sales.html. We will be adding features to this application and working with its layout throughout the week.
@@ -8,26 +8,24 @@
 Airport = %7B%0A
-  
   minCustome
@@ -33,18 +33,16 @@
 s : 23,%0A
-  
   maxCus
@@ -54,18 +54,16 @@
 s : 65,%0A
-  
   avgCoo
@@ -77,27 +77,164 @@
 Cust : 6.3,%0A
-%7D%0A%0A
+  randomCust : function()%7B%0A    return (Math.floor(Math.random() * (this.maxCustomers - this.minCustomers)) + this.minCustomers);%0A  %7D%0A%7D;%0A%0A// 
 var pioneerS
@@ -239,28 +239,31 @@
 rSquare = %7B%0A
+//
     
+ 
 minCustomers
@@ -268,20 +268,23 @@
 rs : 3,%0A
+//
     
+ 
 maxCusto
@@ -294,20 +294,23 @@
 s : 24,%0A
+//
     
+ 
 avgCooki
@@ -326,19 +326,25 @@
  : 1.2,%0A
-%7D%0A%0A
+// %7D%0A%0A// 
 var Powe
@@ -347,24 +347,27 @@
 Powells = %7B%0A
+// 
     minCusto
@@ -377,16 +377,19 @@
 s : 11,%0A
+// 
     maxC
@@ -395,32 +395,35 @@
 Customers : 38,%0A
+// 
     avgCookiesPe
@@ -435,19 +435,25 @@
  : 3.7,%0A
-%7D%0A%0A
+// %7D%0A%0A// 
 var stJo
@@ -456,24 +456,27 @@
 stJohns = %7B%0A
+// 
     minCusto
@@ -486,16 +486,19 @@
 s : 20,%0A
+// 
     maxC
@@ -512,16 +512,19 @@
 s : 38,%0A
+// 
     avgC
@@ -544,19 +544,25 @@
  : 2.3,%0A
-%7D%0A%0A
+// %7D%0A%0A// 
 var wate
@@ -572,16 +572,19 @@
 ont = %7B%0A
+// 
     minC
@@ -597,16 +597,19 @@
 rs : 2,%0A
+// 
     maxC
@@ -623,16 +623,19 @@
 s : 16,%0A
+// 
     avgC
@@ -655,18 +655,20 @@
  : 4.6,%0A
+// 
 %7D
-%0A
 %0A%0A// Fir

add randomCust function